---
_id: '716'
abstract:
- lang: eng
text: 'Two-player games on graphs are central in many problems in formal verification
and program analysis, such as synthesis and verification of open systems. In this
work, we consider solving recursive game graphs (or pushdown game graphs) that
model the control flow of sequential programs with recursion.While pushdown games
have been studied before with qualitative objectives-such as reachability and
?-regular objectives- in this work, we study for the first time such games with
the most well-studied quantitative objective, the mean-payoff objective. In pushdown
games, two types of strategies are relevant: (1) global strategies, which depend
on the entire global history; and (2) modular strategies, which have only local
memory and thus do not depend on the context of invocation but rather only on
the history of the current invocation of the module. Our main results are as follows:
(1) One-player pushdown games with mean-payoff objectives under global strategies
are decidable in polynomial time. (2) Two-player pushdown games with mean-payoff
objectives under global strategies are undecidable. (3) One-player pushdown games
with mean-payoff objectives under modular strategies are NP-hard. (4) Two-player
pushdown games with mean-payoff objectives under modular strategies can be solved
in NP (i.e., both one-player and two-player pushdown games with mean-payoff objectives
under modular strategies are NP-complete). We also establish the optimal strategy
complexity by showing that global strategies for mean-payoff objectives require
infinite memory even in one-player pushdown games and memoryless modular strategies
are sufficient in two-player pushdown games. Finally, we also show that all the
problems have the same complexity if the stack boundedness condition is added,
where along with the mean-payoff objective the player must also ensure that the
stack height is bounded.'
article_type: original
arxiv: 1
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Yaron
full_name: Velner, Yaron
last_name: Velner
citation:
ama: Chatterjee K, Velner Y. The complexity of mean-payoff pushdown games. Journal
of the ACM. 2017;64(5):34. doi:10.1145/3121408
apa: Chatterjee, K., & Velner, Y. (2017). The complexity of mean-payoff pushdown
games. Journal of the ACM. ACM. https://doi.org/10.1145/3121408
chicago: Chatterjee, Krishnendu, and Yaron Velner. “The Complexity of Mean-Payoff
Pushdown Games.” Journal of the ACM. ACM, 2017. https://doi.org/10.1145/3121408.
ieee: K. Chatterjee and Y. Velner, “The complexity of mean-payoff pushdown games,”
Journal of the ACM, vol. 64, no. 5. ACM, p. 34, 2017.
ista: Chatterjee K, Velner Y. 2017. The complexity of mean-payoff pushdown games.
Journal of the ACM. 64(5), 34.
mla: Chatterjee, Krishnendu, and Yaron Velner. “The Complexity of Mean-Payoff Pushdown
Games.” Journal of the ACM, vol. 64, no. 5, ACM, 2017, p. 34, doi:10.1145/3121408.
short: K. Chatterjee, Y. Velner, Journal of the ACM 64 (2017) 34.
date_created: 2018-12-11T11:48:06Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2021-01-12T08:12:08Z
day: '01'
department:
- _id: KrCh
doi: 10.1145/3121408
ec_funded: 1
external_id:
arxiv:
- '1201.2829'
intvolume: ' 64'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1201.2829
month: '09'
oa: 1
oa_version: Preprint
page: '34'
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Journal of the ACM
publication_identifier:
issn:
- '00045411'
publication_status: published
publisher: ACM
publist_id: '6964'
quality_controlled: '1'
scopus_import: 1
status: public
title: The complexity of mean-payoff pushdown games
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 64
year: '2017'
...
---
_id: '717'
abstract:
- lang: eng
text: 'We consider finite-state and recursive game graphs with multidimensional
mean-payoff objectives. In recursive games two types of strategies are relevant:
global strategies and modular strategies. Our contributions are: (1) We show that
finite-state multidimensional mean-payoff games can be solved in polynomial time
if the number of dimensions and the maximal absolute value of weights are fixed;
whereas for arbitrary dimensions the problem is coNP-complete. (2) We show that
one-player recursive games with multidimensional mean-payoff objectives can be
solved in polynomial time. Both above algorithms are based on hyperplane separation
technique. (3) For recursive games we show that under modular strategies the multidimensional
problem is undecidable. We show that if the number of modules, exits, and the
maximal absolute value of the weights are fixed, then one-dimensional recursive
mean-payoff games under modular strategies can be solved in polynomial time, whereas
for unbounded number of exits or modules the problem is NP-hard.'
acknowledgement: 'The research was supported by Austrian Science Fund (FWF) Grant
No. P 23499-N23, FWF NFN Grant No. S11407-N23 (RiSE), ERC Start grant (279307: Graph
Games), Microsoft faculty fellows award, the RICH Model Toolkit (ICT COST Action
IC0901), and was carried out in partial fulfillment of the requirements for the
Ph.D. degree of the second author.'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Yaron
full_name: Velner, Yaron
last_name: Velner
citation:
ama: Chatterjee K, Velner Y. Hyperplane separation technique for multidimensional
mean-payoff games. Journal of Computer and System Sciences. 2017;88:236-259.
doi:10.1016/j.jcss.2017.04.005
apa: Chatterjee, K., & Velner, Y. (2017). Hyperplane separation technique for
multidimensional mean-payoff games. Journal of Computer and System Sciences.
Academic Press. https://doi.org/10.1016/j.jcss.2017.04.005
chicago: Chatterjee, Krishnendu, and Yaron Velner. “Hyperplane Separation Technique
for Multidimensional Mean-Payoff Games.” Journal of Computer and System Sciences.
Academic Press, 2017. https://doi.org/10.1016/j.jcss.2017.04.005.
ieee: K. Chatterjee and Y. Velner, “Hyperplane separation technique for multidimensional
mean-payoff games,” Journal of Computer and System Sciences, vol. 88. Academic
Press, pp. 236–259, 2017.
ista: Chatterjee K, Velner Y. 2017. Hyperplane separation technique for multidimensional
mean-payoff games. Journal of Computer and System Sciences. 88, 236–259.
mla: Chatterjee, Krishnendu, and Yaron Velner. “Hyperplane Separation Technique
for Multidimensional Mean-Payoff Games.” Journal of Computer and System Sciences,
vol. 88, Academic Press, 2017, pp. 236–59, doi:10.1016/j.jcss.2017.04.005.
short: K. Chatterjee, Y. Velner, Journal of Computer and System Sciences 88 (2017)
236–259.
date_created: 2018-12-11T11:48:07Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2023-02-23T10:38:15Z
day: '01'
department:
- _id: KrCh
doi: 10.1016/j.jcss.2017.04.005
ec_funded: 1
intvolume: ' 88'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1210.3141
month: '09'
oa: 1
oa_version: Preprint
page: 236 - 259
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2587B514-B435-11E9-9278-68D0E5697425
name: Microsoft Research Faculty Fellowship
publication: Journal of Computer and System Sciences
publication_status: published
publisher: Academic Press
publist_id: '6963'
quality_controlled: '1'
related_material:
record:
- id: '2329'
relation: earlier_version
status: public
scopus_import: 1
status: public
title: Hyperplane separation technique for multidimensional mean-payoff games
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 88
year: '2017'
...
---
_id: '719'
abstract:
- lang: eng
text: 'The ubiquity of computation in modern machines and devices imposes a need
to assert the correctness of their behavior. Especially in the case of safety-critical
systems, their designers need to take measures that enforce their safe operation.
Formal methods has emerged as a research field that addresses this challenge:
by rigorously proving that all system executions adhere to their specifications,
the correctness of an implementation under concern can be assured. To achieve
this goal, a plethora of techniques are nowadays available, all of which are optimized
for different system types and application domains.'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Rüdiger
full_name: Ehlers, Rüdiger
last_name: Ehlers
citation:
ama: 'Chatterjee K, Ehlers R. Special issue: Synthesis and SYNT 2014. Acta Informatica.
2017;54(6):543-544. doi:10.1007/s00236-017-0299-0'
apa: 'Chatterjee, K., & Ehlers, R. (2017). Special issue: Synthesis and SYNT
2014. Acta Informatica. Springer. https://doi.org/10.1007/s00236-017-0299-0'
chicago: 'Chatterjee, Krishnendu, and Rüdiger Ehlers. “Special Issue: Synthesis
and SYNT 2014.” Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-017-0299-0.'
ieee: 'K. Chatterjee and R. Ehlers, “Special issue: Synthesis and SYNT 2014,” Acta
Informatica, vol. 54, no. 6. Springer, pp. 543–544, 2017.'
ista: 'Chatterjee K, Ehlers R. 2017. Special issue: Synthesis and SYNT 2014. Acta
Informatica. 54(6), 543–544.'
mla: 'Chatterjee, Krishnendu, and Rüdiger Ehlers. “Special Issue: Synthesis and
SYNT 2014.” Acta Informatica, vol. 54, no. 6, Springer, 2017, pp. 543–44,
doi:10.1007/s00236-017-0299-0.'
short: K. Chatterjee, R. Ehlers, Acta Informatica 54 (2017) 543–544.
date_created: 2018-12-11T11:48:07Z
date_published: 2017-09-01T00:00:00Z
date_updated: 2021-01-12T08:12:18Z
day: '01'
department:
- _id: KrCh
doi: 10.1007/s00236-017-0299-0
intvolume: ' 54'
issue: '6'
language:
- iso: eng
month: '09'
oa_version: None
page: 543 - 544
publication: Acta Informatica
publication_identifier:
issn:
- '00015903'
publication_status: published
publisher: Springer
publist_id: '6961'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'Special issue: Synthesis and SYNT 2014'
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 54
year: '2017'
...
---
_id: '744'
abstract:
- lang: eng
text: In evolutionary game theory interactions between individuals are often assumed
obligatory. However, in many real-life situations, individuals can decide to opt
out of an interaction depending on the information they have about the opponent.
We consider a simple evolutionary game theoretic model to study such a scenario,
where at each encounter between two individuals the type of the opponent (cooperator/defector)
is known with some probability, and where each individual either accepts or opts
out of the interaction. If the type of the opponent is unknown, a trustful individual
accepts the interaction, whereas a suspicious individual opts out of the interaction.
If either of the two individuals opt out both individuals remain without an interaction.
We show that in the prisoners dilemma optional interactions along with suspicious
behaviour facilitates the emergence of trustful cooperation.
article_processing_charge: No
article_type: original
author:
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: Priklopil T, Chatterjee K, Nowak M. Optional interactions and suspicious behaviour
facilitates trustful cooperation in prisoners dilemma. Journal of Theoretical
Biology. 2017;433:64-72. doi:10.1016/j.jtbi.2017.08.025
apa: Priklopil, T., Chatterjee, K., & Nowak, M. (2017). Optional interactions
and suspicious behaviour facilitates trustful cooperation in prisoners dilemma.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2017.08.025
chicago: Priklopil, Tadeas, Krishnendu Chatterjee, and Martin Nowak. “Optional Interactions
and Suspicious Behaviour Facilitates Trustful Cooperation in Prisoners Dilemma.”
Journal of Theoretical Biology. Elsevier, 2017. https://doi.org/10.1016/j.jtbi.2017.08.025.
ieee: T. Priklopil, K. Chatterjee, and M. Nowak, “Optional interactions and suspicious
behaviour facilitates trustful cooperation in prisoners dilemma,” Journal
of Theoretical Biology, vol. 433. Elsevier, pp. 64–72, 2017.
ista: Priklopil T, Chatterjee K, Nowak M. 2017. Optional interactions and suspicious
behaviour facilitates trustful cooperation in prisoners dilemma. Journal of Theoretical
Biology. 433, 64–72.
mla: Priklopil, Tadeas, et al. “Optional Interactions and Suspicious Behaviour Facilitates
Trustful Cooperation in Prisoners Dilemma.” Journal of Theoretical Biology,
vol. 433, Elsevier, 2017, pp. 64–72, doi:10.1016/j.jtbi.2017.08.025.
short: T. Priklopil, K. Chatterjee, M. Nowak, Journal of Theoretical Biology 433
(2017) 64–72.
date_created: 2018-12-11T11:48:16Z
date_published: 2017-11-21T00:00:00Z
date_updated: 2023-09-27T12:29:02Z
day: '21'
ddc:
- '000'
- '570'
department:
- _id: KrCh
doi: 10.1016/j.jtbi.2017.08.025
ec_funded: 1
external_id:
isi:
- '000412039800007'
pmid:
- '28867224'
file:
- access_level: open_access
checksum: 4b43af1615ebf1a861840cb03d8a320c
content_type: application/pdf
creator: dernst
date_created: 2019-11-19T07:57:39Z
date_updated: 2020-07-14T12:47:58Z
file_id: '7047'
file_name: 2017_JournTheoretBio_Priklopil.pdf
file_size: 537323
relation: main_file
file_date_updated: 2020-07-14T12:47:58Z
has_accepted_license: '1'
intvolume: ' 433'
isi: 1
language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
page: 64 - 72
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: ' Journal of Theoretical Biology'
publication_identifier:
issn:
- '00225193'
publication_status: published
publisher: Elsevier
publist_id: '6923'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optional interactions and suspicious behaviour facilitates trustful cooperation
in prisoners dilemma
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 433
year: '2017'
...
---
_id: '464'
abstract:
- lang: eng
text: The computation of the winning set for parity objectives and for Streett objectives
in graphs as well as in game graphs are central problems in computer-aided verification,
with application to the verification of closed systems with strong fairness conditions,
the verification of open systems, checking interface compatibility, well-formedness
of specifications, and the synthesis of reactive systems. We show how to compute
the winning set on n vertices for (1) parity-3 (aka one-pair Streett) objectives
in game graphs in time O(n5/2) and for (2) k-pair Streett objectives in graphs
in time O(n2+nklogn). For both problems this gives faster algorithms for dense
graphs and represents the first improvement in asymptotic running time in 15 years.
article_number: '26'
article_processing_charge: No
arxiv: 1
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Monika H
full_name: Henzinger, Monika H
id: 540c9bbd-f2de-11ec-812d-d04a5be85630
last_name: Henzinger
orcid: 0000-0002-5008-6530
- first_name: Veronika
full_name: Loitzenbauer, Veronika
last_name: Loitzenbauer
citation:
ama: Chatterjee K, Henzinger MH, Loitzenbauer V. Improved algorithms for parity
and Streett objectives. Logical Methods in Computer Science. 2017;13(3).
doi:10.23638/LMCS-13(3:26)2017
apa: Chatterjee, K., Henzinger, M. H., & Loitzenbauer, V. (2017). Improved algorithms
for parity and Streett objectives. Logical Methods in Computer Science.
International Federation of Computational Logic. https://doi.org/10.23638/LMCS-13(3:26)2017
chicago: Chatterjee, Krishnendu, Monika H Henzinger, and Veronika Loitzenbauer.
“Improved Algorithms for Parity and Streett Objectives.” Logical Methods in
Computer Science. International Federation of Computational Logic, 2017. https://doi.org/10.23638/LMCS-13(3:26)2017.
ieee: K. Chatterjee, M. H. Henzinger, and V. Loitzenbauer, “Improved algorithms
for parity and Streett objectives,” Logical Methods in Computer Science,
vol. 13, no. 3. International Federation of Computational Logic, 2017.
ista: Chatterjee K, Henzinger MH, Loitzenbauer V. 2017. Improved algorithms for
parity and Streett objectives. Logical Methods in Computer Science. 13(3), 26.
mla: Chatterjee, Krishnendu, et al. “Improved Algorithms for Parity and Streett
Objectives.” Logical Methods in Computer Science, vol. 13, no. 3, 26, International
Federation of Computational Logic, 2017, doi:10.23638/LMCS-13(3:26)2017.
short: K. Chatterjee, M.H. Henzinger, V. Loitzenbauer, Logical Methods in Computer
Science 13 (2017).
date_created: 2018-12-11T11:46:37Z
date_published: 2017-09-26T00:00:00Z
date_updated: 2025-06-02T08:53:41Z
day: '26'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.23638/LMCS-13(3:26)2017
ec_funded: 1
external_id:
arxiv:
- '1410.0833'
file:
- access_level: open_access
checksum: 12d469ae69b80361333d7dead965cf5d
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:27Z
date_updated: 2020-07-14T12:46:32Z
file_id: '5010'
file_name: IST-2018-956-v1+1_2017_Chatterjee_Improved_algorithms.pdf
file_size: 582940
relation: main_file
file_date_updated: 2020-07-14T12:46:32Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '3'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Logical Methods in Computer Science
publication_identifier:
issn:
- 1860-5974
publication_status: published
publisher: International Federation of Computational Logic
publist_id: '7357'
pubrep_id: '956'
quality_controlled: '1'
related_material:
record:
- id: '1661'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Improved algorithms for parity and Streett objectives
tmp:
image: /image/cc_by_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode
name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
short: CC BY-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '465'
abstract:
- lang: eng
text: 'The edit distance between two words w 1 , w 2 is the minimal number of word
operations (letter insertions, deletions, and substitutions) necessary to transform
w 1 to w 2 . The edit distance generalizes to languages L 1 , L 2 , where the
edit distance from L 1 to L 2 is the minimal number k such that for every word
from L 1 there exists a word in L 2 with edit distance at most k . We study the
edit distance computation problem between pushdown automata and their subclasses.
The problem of computing edit distance to a pushdown automaton is undecidable,
and in practice, the interesting question is to compute the edit distance from
a pushdown automaton (the implementation, a standard model for programs with recursion)
to a regular language (the specification). In this work, we present a complete
picture of decidability and complexity for the following problems: (1) deciding
whether, for a given threshold k , the edit distance from a pushdown automaton
to a finite automaton is at most k , and (2) deciding whether the edit distance
from a pushdown automaton to a finite automaton is finite. '
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Jan
full_name: Otop, Jan
last_name: Otop
citation:
ama: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. Edit distance for pushdown
automata. Logical Methods in Computer Science. 2017;13(3). doi:10.23638/LMCS-13(3:23)2017
apa: Chatterjee, K., Henzinger, T. A., Ibsen-Jensen, R., & Otop, J. (2017).
Edit distance for pushdown automata. Logical Methods in Computer Science.
International Federation of Computational Logic. https://doi.org/10.23638/LMCS-13(3:23)2017
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, Rasmus Ibsen-Jensen, and Jan
Otop. “Edit Distance for Pushdown Automata.” Logical Methods in Computer Science.
International Federation of Computational Logic, 2017. https://doi.org/10.23638/LMCS-13(3:23)2017.
ieee: K. Chatterjee, T. A. Henzinger, R. Ibsen-Jensen, and J. Otop, “Edit distance
for pushdown automata,” Logical Methods in Computer Science, vol. 13, no.
3. International Federation of Computational Logic, 2017.
ista: Chatterjee K, Henzinger TA, Ibsen-Jensen R, Otop J. 2017. Edit distance for
pushdown automata. Logical Methods in Computer Science. 13(3).
mla: Chatterjee, Krishnendu, et al. “Edit Distance for Pushdown Automata.” Logical
Methods in Computer Science, vol. 13, no. 3, International Federation of Computational
Logic, 2017, doi:10.23638/LMCS-13(3:23)2017.
short: K. Chatterjee, T.A. Henzinger, R. Ibsen-Jensen, J. Otop, Logical Methods
in Computer Science 13 (2017).
date_created: 2018-12-11T11:46:37Z
date_published: 2017-09-13T00:00:00Z
date_updated: 2023-02-23T12:26:25Z
day: '13'
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doi: 10.23638/LMCS-13(3:23)2017
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name: Moderne Concurrency Paradigms
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call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
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call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
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call_identifier: FWF
grant_number: S11407
name: Game Theory
publication: Logical Methods in Computer Science
publication_identifier:
issn:
- '18605974'
publication_status: published
publisher: International Federation of Computational Logic
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relation: earlier_version
status: public
scopus_import: 1
status: public
title: Edit distance for pushdown automata
tmp:
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name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
short: CC BY-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '466'
abstract:
- lang: eng
text: 'We consider Markov decision processes (MDPs) with multiple limit-average
(or mean-payoff) objectives. There exist two different views: (i) the expectation
semantics, where the goal is to optimize the expected mean-payoff objective, and
(ii) the satisfaction semantics, where the goal is to maximize the probability
of runs such that the mean-payoff value stays above a given vector. We consider
optimization with respect to both objectives at once, thus unifying the existing
semantics. Precisely, the goal is to optimize the expectation while ensuring the
satisfaction constraint. Our problem captures the notion of optimization with
respect to strategies that are risk-averse (i.e., ensure certain probabilistic
guarantee). Our main results are as follows: First, we present algorithms for
the decision problems which are always polynomial in the size of the MDP. We also
show that an approximation of the Pareto-curve can be computed in time polynomial
in the size of the MDP, and the approximation factor, but exponential in the number
of dimensions. Second, we present a complete characterization of the strategy
complexity (in terms of memory bounds and randomization) required to solve our
problem. '
article_number: '15'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Zuzana
full_name: Křetínská, Zuzana
last_name: Křetínská
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
citation:
ama: Chatterjee K, Křetínská Z, Kretinsky J. Unifying two views on multiple mean-payoff
objectives in Markov decision processes. Logical Methods in Computer Science.
2017;13(2). doi:10.23638/LMCS-13(2:15)2017
apa: Chatterjee, K., Křetínská, Z., & Kretinsky, J. (2017). Unifying two views
on multiple mean-payoff objectives in Markov decision processes. Logical Methods
in Computer Science. International Federation of Computational Logic. https://doi.org/10.23638/LMCS-13(2:15)2017
chicago: Chatterjee, Krishnendu, Zuzana Křetínská, and Jan Kretinsky. “Unifying
Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes.” Logical
Methods in Computer Science. International Federation of Computational Logic,
2017. https://doi.org/10.23638/LMCS-13(2:15)2017.
ieee: K. Chatterjee, Z. Křetínská, and J. Kretinsky, “Unifying two views on multiple
mean-payoff objectives in Markov decision processes,” Logical Methods in Computer
Science, vol. 13, no. 2. International Federation of Computational Logic,
2017.
ista: Chatterjee K, Křetínská Z, Kretinsky J. 2017. Unifying two views on multiple
mean-payoff objectives in Markov decision processes. Logical Methods in Computer
Science. 13(2), 15.
mla: Chatterjee, Krishnendu, et al. “Unifying Two Views on Multiple Mean-Payoff
Objectives in Markov Decision Processes.” Logical Methods in Computer Science,
vol. 13, no. 2, 15, International Federation of Computational Logic, 2017, doi:10.23638/LMCS-13(2:15)2017.
short: K. Chatterjee, Z. Křetínská, J. Kretinsky, Logical Methods in Computer Science
13 (2017).
date_created: 2018-12-11T11:46:38Z
date_published: 2017-07-03T00:00:00Z
date_updated: 2023-02-23T12:26:16Z
day: '03'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.23638/LMCS-13(2:15)2017
ec_funded: 1
file:
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checksum: bfa405385ec6229ad5ead89ab5751639
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:32Z
date_updated: 2020-07-14T12:46:33Z
file_id: '5354'
file_name: IST-2018-957-v1+1_2017_Chatterjee_Unifying_two.pdf
file_size: 511832
relation: main_file
file_date_updated: 2020-07-14T12:46:33Z
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intvolume: ' 13'
issue: '2'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2590DB08-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '701309'
name: Atomic-Resolution Structures of Mitochondrial Respiratory Chain Supercomplexes
(H2020)
publication: Logical Methods in Computer Science
publication_identifier:
issn:
- '18605974'
publication_status: published
publisher: International Federation of Computational Logic
publist_id: '7355'
pubrep_id: '957'
quality_controlled: '1'
related_material:
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status: public
- id: '5429'
relation: earlier_version
status: public
- id: '5435'
relation: earlier_version
status: public
scopus_import: 1
status: public
title: Unifying two views on multiple mean-payoff objectives in Markov decision processes
tmp:
image: /image/cc_by_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode
name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)
short: CC BY-ND (4.0)
type: journal_article
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volume: 13
year: '2017'
...
---
_id: '467'
abstract:
- lang: eng
text: Recently there has been a significant effort to handle quantitative properties
in formal verification and synthesis. While weighted automata over finite and
infinite words provide a natural and flexible framework to express quantitative
properties, perhaps surprisingly, some basic system properties such as average
response time cannot be expressed using weighted automata or in any other known
decidable formalism. In this work, we introduce nested weighted automata as a
natural extension of weighted automata, which makes it possible to express important
quantitative properties such as average response time. In nested weighted automata,
a master automaton spins off and collects results from weighted slave automata,
each of which computes a quantity along a finite portion of an infinite word.
Nested weighted automata can be viewed as the quantitative analogue of monitor
automata, which are used in runtime verification. We establish an almost-complete
decidability picture for the basic decision problems about nested weighted automata
and illustrate their applicability in several domains. In particular, nested weighted
automata can be used to decide average response time properties.
article_number: '31'
arxiv: 1
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Jan
full_name: Otop, Jan
id: 2FC5DA74-F248-11E8-B48F-1D18A9856A87
last_name: Otop
citation:
ama: Chatterjee K, Henzinger TA, Otop J. Nested weighted automata. ACM Transactions
on Computational Logic (TOCL). 2017;18(4). doi:10.1145/3152769
apa: Chatterjee, K., Henzinger, T. A., & Otop, J. (2017). Nested weighted automata.
ACM Transactions on Computational Logic (TOCL). ACM. https://doi.org/10.1145/3152769
chicago: Chatterjee, Krishnendu, Thomas A Henzinger, and Jan Otop. “Nested Weighted
Automata.” ACM Transactions on Computational Logic (TOCL). ACM, 2017. https://doi.org/10.1145/3152769.
ieee: K. Chatterjee, T. A. Henzinger, and J. Otop, “Nested weighted automata,” ACM
Transactions on Computational Logic (TOCL), vol. 18, no. 4. ACM, 2017.
ista: Chatterjee K, Henzinger TA, Otop J. 2017. Nested weighted automata. ACM Transactions
on Computational Logic (TOCL). 18(4), 31.
mla: Chatterjee, Krishnendu, et al. “Nested Weighted Automata.” ACM Transactions
on Computational Logic (TOCL), vol. 18, no. 4, 31, ACM, 2017, doi:10.1145/3152769.
short: K. Chatterjee, T.A. Henzinger, J. Otop, ACM Transactions on Computational
Logic (TOCL) 18 (2017).
date_created: 2018-12-11T11:46:38Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2023-02-23T12:26:19Z
day: '01'
department:
- _id: KrCh
- _id: ToHe
doi: 10.1145/3152769
ec_funded: 1
external_id:
arxiv:
- '1606.03598'
intvolume: ' 18'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1606.03598
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 2587B514-B435-11E9-9278-68D0E5697425
name: Microsoft Research Faculty Fellowship
publication: ACM Transactions on Computational Logic (TOCL)
publication_identifier:
issn:
- '15293785'
publication_status: published
publisher: ACM
publist_id: '7354'
quality_controlled: '1'
related_material:
record:
- id: '1656'
relation: earlier_version
status: public
- id: '5415'
relation: earlier_version
status: public
- id: '5436'
relation: earlier_version
status: public
scopus_import: 1
status: public
title: Nested weighted automata
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 18
year: '2017'
...
---
_id: '512'
abstract:
- lang: eng
text: 'The fixation probability is the probability that a new mutant introduced
in a homogeneous population eventually takes over the entire population. The fixation
probability is a fundamental quantity of natural selection, and known to depend
on the population structure. Amplifiers of natural selection are population structures
which increase the fixation probability of advantageous mutants, as compared to
the baseline case of well-mixed populations. In this work we focus on symmetric
population structures represented as undirected graphs. In the regime of undirected
graphs, the strongest amplifier known has been the Star graph, and the existence
of undirected graphs with stronger amplification properties has remained open
for over a decade. In this work we present the Comet and Comet-swarm families
of undirected graphs. We show that for a range of fitness values of the mutants,
the Comet and Cometswarm graphs have fixation probability strictly larger than
the fixation probability of the Star graph, for fixed population size and at the
limit of large populations, respectively. '
article_number: '82'
article_processing_charge: No
author:
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: 'Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Amplification on undirected
population structures: Comets beat stars. Scientific Reports. 2017;7(1).
doi:10.1038/s41598-017-00107-w'
apa: 'Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak, M. (2017). Amplification
on undirected population structures: Comets beat stars. Scientific Reports.
Nature Publishing Group. https://doi.org/10.1038/s41598-017-00107-w'
chicago: 'Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak. “Amplification on Undirected Population Structures: Comets Beat Stars.”
Scientific Reports. Nature Publishing Group, 2017. https://doi.org/10.1038/s41598-017-00107-w.'
ieee: 'A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, “Amplification
on undirected population structures: Comets beat stars,” Scientific Reports,
vol. 7, no. 1. Nature Publishing Group, 2017.'
ista: 'Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2017. Amplification on
undirected population structures: Comets beat stars. Scientific Reports. 7(1),
82.'
mla: 'Pavlogiannis, Andreas, et al. “Amplification on Undirected Population Structures:
Comets Beat Stars.” Scientific Reports, vol. 7, no. 1, 82, Nature Publishing
Group, 2017, doi:10.1038/s41598-017-00107-w.'
short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak, Scientific Reports
7 (2017).
date_created: 2018-12-11T11:46:53Z
date_published: 2017-03-06T00:00:00Z
date_updated: 2023-02-23T12:26:57Z
day: '06'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.1038/s41598-017-00107-w
ec_funded: 1
file:
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checksum: 7d05cbdd914e194a019c0f91fb64e9a8
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:35Z
date_updated: 2020-07-14T12:46:36Z
file_id: '5357'
file_name: IST-2018-938-v1+1_2017_Pavlogiannis_Amplification_on.pdf
file_size: 1536783
relation: main_file
file_date_updated: 2020-07-14T12:46:36Z
has_accepted_license: '1'
intvolume: ' 7'
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 2584A770-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P 23499-N23
name: Modern Graph Algorithmic Techniques in Formal Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Scientific Reports
publication_identifier:
issn:
- '20452322'
publication_status: published
publisher: Nature Publishing Group
publist_id: '7307'
pubrep_id: '938'
quality_controlled: '1'
related_material:
record:
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relation: earlier_version
status: public
scopus_import: 1
status: public
title: 'Amplification on undirected population structures: Comets beat stars'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2017'
...
---
_id: '5455'
abstract:
- lang: eng
text: 'A fundamental algorithmic problem at the heart of static analysis is Dyck
reachability. The input is a graphwhere the edges are labeled with different types
of opening and closing parentheses, and the reachabilityinformation is computed
via paths whose parentheses are properly matched. We present new results for Dyckreachability
problems with applications to alias analysis and data-dependence analysis. Our
main contributions,that include improved upper bounds as well as lower bounds
that establish optimality guarantees, are asfollows:First, we consider Dyck reachability
on bidirected graphs, which is the standard way of performing field-sensitive
points-to analysis. Given a bidirected graph withnnodes andmedges, we present:
(i) an algorithmwith worst-case running timeO(m+n·α(n)), whereα(n)is the inverse
Ackermann function, improving thepreviously knownO(n2)time bound; (ii) a matching
lower bound that shows that our algorithm is optimalwrt to worst-case complexity;
and (iii) an optimal average-case upper bound ofO(m)time, improving thepreviously
knownO(m·logn)bound.Second, we consider the problem of context-sensitive data-dependence
analysis, where the task is to obtainanalysis summaries of library code in the
presence of callbacks. Our algorithm preprocesses libraries in almostlinear time,
after which the contribution of the library in the complexity of the client analysis
is only linear,and only wrt the number of call sites.Third, we prove that combinatorial
algorithms for Dyck reachability on general graphs with truly sub-cubic bounds
cannot be obtained without obtaining sub-cubic combinatorial algorithms for Boolean
MatrixMultiplication, which is a long-standing open problem. Thus we establish
that the existing combinatorialalgorithms for Dyck reachability are (conditionally)
optimal for general graphs. We also show that the samehardness holds for graphs
of constant treewidth.Finally, we provide a prototype implementation of our algorithms
for both alias analysis and data-dependenceanalysis. Our experimental evaluation
demonstrates that the new algorithms significantly outperform allexisting methods
on the two problems, over real-world benchmarks.'
alternative_title:
- IST Austria Technical Report
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Bhavya
full_name: Choudhary, Bhavya
last_name: Choudhary
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
citation:
ama: Chatterjee K, Choudhary B, Pavlogiannis A. Optimal Dyck Reachability for
Data-Dependence and Alias Analysis. IST Austria; 2017. doi:10.15479/AT:IST-2017-870-v1-1
apa: Chatterjee, K., Choudhary, B., & Pavlogiannis, A. (2017). Optimal Dyck
reachability for data-dependence and alias analysis. IST Austria. https://doi.org/10.15479/AT:IST-2017-870-v1-1
chicago: Chatterjee, Krishnendu, Bhavya Choudhary, and Andreas Pavlogiannis. Optimal
Dyck Reachability for Data-Dependence and Alias Analysis. IST Austria, 2017.
https://doi.org/10.15479/AT:IST-2017-870-v1-1.
ieee: K. Chatterjee, B. Choudhary, and A. Pavlogiannis, Optimal Dyck reachability
for data-dependence and alias analysis. IST Austria, 2017.
ista: Chatterjee K, Choudhary B, Pavlogiannis A. 2017. Optimal Dyck reachability
for data-dependence and alias analysis, IST Austria, 37p.
mla: Chatterjee, Krishnendu, et al. Optimal Dyck Reachability for Data-Dependence
and Alias Analysis. IST Austria, 2017, doi:10.15479/AT:IST-2017-870-v1-1.
short: K. Chatterjee, B. Choudhary, A. Pavlogiannis, Optimal Dyck Reachability for
Data-Dependence and Alias Analysis, IST Austria, 2017.
date_created: 2018-12-12T11:39:26Z
date_published: 2017-10-23T00:00:00Z
date_updated: 2023-02-21T15:54:10Z
day: '23'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2017-870-v1-1
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checksum: 177a84a46e3ac17e87b31534ad16a4c9
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language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '37'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '870'
related_material:
record:
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relation: later_version
status: public
status: public
title: Optimal Dyck reachability for data-dependence and alias analysis
type: technical_report
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2017'
...
---
_id: '5456'
abstract:
- lang: eng
text: "We present a new dynamic partial-order reduction method for stateless model
checking of concurrent programs. A common approach for exploring program behaviors
relies on enumerating the traces of the program, without storing the visited states
(aka stateless exploration). As the number of distinct traces grows exponentially,
dynamic partial-order reduction (DPOR) techniques have been successfully used
to partition the space of traces into equivalence classes (Mazurkiewicz partitioning),
with the goal of exploring only few representative traces from each class.\r\nWe
introduce a new equivalence on traces under sequential consistency semantics,
which we call the observation equivalence. Two traces are observationally equivalent
if every read event observes the same write event in both traces. While the traditional
Mazurkiewicz equivalence is control-centric, our new definition is data-centric.
We show that our observation equivalence is coarser than the Mazurkiewicz equivalence,
and in many cases even exponentially coarser. We devise a DPOR exploration of
the trace space, called data-centric DPOR, based on the observation equivalence.\r\n1.
For acyclic architectures, our algorithm is guaranteed to explore exactly one
representative trace from each observation class, while spending polynomial time
per class. Hence, our algorithm is optimal wrt the observation equivalence, and
in several cases explores exponentially fewer traces than any enumerative method
based on the Mazurkiewicz equivalence.\r\n2. For cyclic architectures, we consider
an equivalence between traces which is finer than the observation equivalence;
but coarser than the Mazurkiewicz equivalence, and in some cases is exponentially
coarser. Our data-centric DPOR algorithm remains optimal under this trace equivalence.
\r\nFinally, we perform a basic experimental comparison between the existing Mazurkiewicz-based
DPOR and our data-centric DPOR on a set of academic benchmarks. Our results show
a significant reduction in both running time and the number of explored equivalence
classes."
alternative_title:
- IST Austria Technical Report
author:
- first_name: Marek
full_name: Chalupa, Marek
last_name: Chalupa
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Nishant
full_name: Sinha, Nishant
last_name: Sinha
- first_name: Kapil
full_name: Vaidya, Kapil
last_name: Vaidya
citation:
ama: Chalupa M, Chatterjee K, Pavlogiannis A, Sinha N, Vaidya K. Data-Centric
Dynamic Partial Order Reduction. IST Austria; 2017. doi:10.15479/AT:IST-2017-872-v1-1
apa: Chalupa, M., Chatterjee, K., Pavlogiannis, A., Sinha, N., & Vaidya, K.
(2017). Data-centric dynamic partial order reduction. IST Austria. https://doi.org/10.15479/AT:IST-2017-872-v1-1
chicago: Chalupa, Marek, Krishnendu Chatterjee, Andreas Pavlogiannis, Nishant Sinha,
and Kapil Vaidya. Data-Centric Dynamic Partial Order Reduction. IST Austria,
2017. https://doi.org/10.15479/AT:IST-2017-872-v1-1.
ieee: M. Chalupa, K. Chatterjee, A. Pavlogiannis, N. Sinha, and K. Vaidya, Data-centric
dynamic partial order reduction. IST Austria, 2017.
ista: Chalupa M, Chatterjee K, Pavlogiannis A, Sinha N, Vaidya K. 2017. Data-centric
dynamic partial order reduction, IST Austria, 36p.
mla: Chalupa, Marek, et al. Data-Centric Dynamic Partial Order Reduction.
IST Austria, 2017, doi:10.15479/AT:IST-2017-872-v1-1.
short: M. Chalupa, K. Chatterjee, A. Pavlogiannis, N. Sinha, K. Vaidya, Data-Centric
Dynamic Partial Order Reduction, IST Austria, 2017.
date_created: 2018-12-12T11:39:26Z
date_published: 2017-10-23T00:00:00Z
date_updated: 2023-02-23T12:26:54Z
day: '23'
ddc:
- '000'
department:
- _id: KrCh
doi: 10.15479/AT:IST-2017-872-v1-1
file:
- access_level: open_access
checksum: d2635c4cf013000f0a1b09e80f9e4ab7
content_type: application/pdf
creator: system
date_created: 2018-12-12T11:53:26Z
date_updated: 2020-07-14T12:46:59Z
file_id: '5487'
file_name: IST-2017-872-v1+1_main.pdf
file_size: 910347
relation: main_file
file_date_updated: 2020-07-14T12:46:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '36'
publication_identifier:
issn:
- 2664-1690
publication_status: published
publisher: IST Austria
pubrep_id: '872'
related_material:
record:
- id: '10417'
relation: later_version
status: public
- id: '5448'
relation: earlier_version
status: public
status: public
title: Data-centric dynamic partial order reduction
type: technical_report
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '551'
abstract:
- lang: eng
text: 'Evolutionary graph theory studies the evolutionary dynamics in a population
structure given as a connected graph. Each node of the graph represents an individual
of the population, and edges determine how offspring are placed. We consider the
classical birth-death Moran process where there are two types of individuals,
namely, the residents with fitness 1 and mutants with fitness r. The fitness indicates
the reproductive strength. The evolutionary dynamics happens as follows: in the
initial step, in a population of all resident individuals a mutant is introduced,
and then at each step, an individual is chosen proportional to the fitness of
its type to reproduce, and the offspring replaces a neighbor uniformly at random.
The process stops when all individuals are either residents or mutants. The probability
that all individuals in the end are mutants is called the fixation probability,
which is a key factor in the rate of evolution. We consider the problem of approximating
the fixation probability. The class of algorithms that is extremely relevant for
approximation of the fixation probabilities is the Monte-Carlo simulation of the
process. Previous results present a polynomial-time Monte-Carlo algorithm for
undirected graphs when r is given in unary. First, we present a simple modification:
instead of simulating each step, we discard ineffective steps, where no node changes
type (i.e., either residents replace residents, or mutants replace mutants). Using
the above simple modification and our result that the number of effective steps
is concentrated around the expected number of effective steps, we present faster
polynomial-time Monte-Carlo algorithms for undirected graphs. Our algorithms are
always at least a factor O(n2/ log n) faster as compared to the previous algorithms,
where n is the number of nodes, and is polynomial even if r is given in binary.
We also present lower bounds showing that the upper bound on the expected number
of effective steps we present is asymptotically tight for undirected graphs. '
alternative_title:
- LIPIcs
article_number: '61'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
- first_name: Martin
full_name: Nowak, Martin
last_name: Nowak
citation:
ama: 'Chatterjee K, Ibsen-Jensen R, Nowak M. Faster Monte Carlo algorithms for fixation
probability of the Moran process on undirected graphs. In: Leibniz International
Proceedings in Informatics. Vol 83. Schloss Dagstuhl - Leibniz-Zentrum für
Informatik; 2017. doi:10.4230/LIPIcs.MFCS.2017.61'
apa: 'Chatterjee, K., Ibsen-Jensen, R., & Nowak, M. (2017). Faster Monte Carlo
algorithms for fixation probability of the Moran process on undirected graphs.
In Leibniz International Proceedings in Informatics (Vol. 83). Aalborg,
Denmark: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.MFCS.2017.61'
chicago: Chatterjee, Krishnendu, Rasmus Ibsen-Jensen, and Martin Nowak. “Faster
Monte Carlo Algorithms for Fixation Probability of the Moran Process on Undirected
Graphs.” In Leibniz International Proceedings in Informatics, Vol. 83.
Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017. https://doi.org/10.4230/LIPIcs.MFCS.2017.61.
ieee: K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, “Faster Monte Carlo algorithms
for fixation probability of the Moran process on undirected graphs,” in Leibniz
International Proceedings in Informatics, Aalborg, Denmark, 2017, vol. 83.
ista: 'Chatterjee K, Ibsen-Jensen R, Nowak M. 2017. Faster Monte Carlo algorithms
for fixation probability of the Moran process on undirected graphs. Leibniz International
Proceedings in Informatics. MFCS: Mathematical Foundations of Computer Science
(SG), LIPIcs, vol. 83, 61.'
mla: Chatterjee, Krishnendu, et al. “Faster Monte Carlo Algorithms for Fixation
Probability of the Moran Process on Undirected Graphs.” Leibniz International
Proceedings in Informatics, vol. 83, 61, Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2017, doi:10.4230/LIPIcs.MFCS.2017.61.
short: K. Chatterjee, R. Ibsen-Jensen, M. Nowak, in:, Leibniz International Proceedings
in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017.
conference:
end_date: 2017-08-25
location: Aalborg, Denmark
name: 'MFCS: Mathematical Foundations of Computer Science (SG)'
start_date: 2017-08-21
date_created: 2018-12-11T11:47:08Z
date_published: 2017-11-01T00:00:00Z
date_updated: 2021-01-12T08:02:34Z
day: '01'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.MFCS.2017.61
file:
- access_level: open_access
checksum: 2eed5224c0e4e259484a1d71acb8ba6a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:18:04Z
date_updated: 2020-07-14T12:47:00Z
file_id: '5322'
file_name: IST-2018-924-v1+1_LIPIcs-MFCS-2017-61.pdf
file_size: 535077
relation: main_file
file_date_updated: 2020-07-14T12:47:00Z
has_accepted_license: '1'
intvolume: ' 83'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: Leibniz International Proceedings in Informatics
publication_identifier:
isbn:
- 978-395977046-0
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
publist_id: '7263'
pubrep_id: '924'
quality_controlled: '1'
scopus_import: 1
status: public
title: Faster Monte Carlo algorithms for fixation probability of the Moran process
on undirected graphs
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 83
year: '2017'
...
---
_id: '552'
abstract:
- lang: eng
text: 'Graph games provide the foundation for modeling and synthesis of reactive
processes. Such games are played over graphs where the vertices are controlled
by two adversarial players. We consider graph games where the objective of the
first player is the conjunction of a qualitative objective (specified as a parity
condition) and a quantitative objective (specified as a meanpayoff condition).
There are two variants of the problem, namely, the threshold problem where the
quantitative goal is to ensure that the mean-payoff value is above a threshold,
and the value problem where the quantitative goal is to ensure the optimal mean-payoff
value; in both cases ensuring the qualitative parity objective. The previous best-known
algorithms for game graphs with n vertices, m edges, parity objectives with d
priorities, and maximal absolute reward value W for mean-payoff objectives, are
as follows: O(nd+1 . m . w) for the threshold problem, and O(nd+2 · m · W) for
the value problem. Our main contributions are faster algorithms, and the running
times of our algorithms are as follows: O(nd-1 · m ·W) for the threshold problem,
and O(nd · m · W · log(n · W)) for the value problem. For mean-payoff parity objectives
with two priorities, our algorithms match the best-known bounds of the algorithms
for mean-payoff games (without conjunction with parity objectives). Our results
are relevant in synthesis of reactive systems with both functional requirement
(given as a qualitative objective) and performance requirement (given as a quantitative
objective).'
alternative_title:
- LIPIcs
article_number: '39'
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Monika H
full_name: Henzinger, Monika H
id: 540c9bbd-f2de-11ec-812d-d04a5be85630
last_name: Henzinger
orcid: 0000-0002-5008-6530
- first_name: Alexander
full_name: Svozil, Alexander
last_name: Svozil
citation:
ama: 'Chatterjee K, Henzinger MH, Svozil A. Faster algorithms for mean-payoff parity
games. In: Leibniz International Proceedings in Informatics. Vol 83. Schloss
Dagstuhl - Leibniz-Zentrum für Informatik; 2017. doi:10.4230/LIPIcs.MFCS.2017.39'
apa: 'Chatterjee, K., Henzinger, M. H., & Svozil, A. (2017). Faster algorithms
for mean-payoff parity games. In Leibniz International Proceedings in Informatics
(Vol. 83). Aalborg, Denmark: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
https://doi.org/10.4230/LIPIcs.MFCS.2017.39'
chicago: Chatterjee, Krishnendu, Monika H Henzinger, and Alexander Svozil. “Faster
Algorithms for Mean-Payoff Parity Games.” In Leibniz International Proceedings
in Informatics, Vol. 83. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2017. https://doi.org/10.4230/LIPIcs.MFCS.2017.39.
ieee: K. Chatterjee, M. H. Henzinger, and A. Svozil, “Faster algorithms for mean-payoff
parity games,” in Leibniz International Proceedings in Informatics, Aalborg,
Denmark, 2017, vol. 83.
ista: 'Chatterjee K, Henzinger MH, Svozil A. 2017. Faster algorithms for mean-payoff
parity games. Leibniz International Proceedings in Informatics. MFCS: Mathematical
Foundations of Computer Science (SG), LIPIcs, vol. 83, 39.'
mla: Chatterjee, Krishnendu, et al. “Faster Algorithms for Mean-Payoff Parity Games.”
Leibniz International Proceedings in Informatics, vol. 83, 39, Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2017, doi:10.4230/LIPIcs.MFCS.2017.39.
short: K. Chatterjee, M.H. Henzinger, A. Svozil, in:, Leibniz International Proceedings
in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017.
conference:
end_date: 2017-08-25
location: Aalborg, Denmark
name: 'MFCS: Mathematical Foundations of Computer Science (SG)'
start_date: 2017-08-21
date_created: 2018-12-11T11:47:08Z
date_published: 2017-11-01T00:00:00Z
date_updated: 2023-02-14T10:06:46Z
day: '01'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.MFCS.2017.39
ec_funded: 1
file:
- access_level: open_access
checksum: c67f4866ddbfd555afef1f63ae9a8fc7
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:57Z
date_updated: 2020-07-14T12:47:00Z
file_id: '5248'
file_name: IST-2018-923-v1+1_LIPIcs-MFCS-2017-39.pdf
file_size: 610339
relation: main_file
file_date_updated: 2020-07-14T12:47:00Z
has_accepted_license: '1'
intvolume: ' 83'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication: Leibniz International Proceedings in Informatics
publication_identifier:
isbn:
- 978-395977046-0
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
publist_id: '7262'
pubrep_id: '923'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Faster algorithms for mean-payoff parity games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/3.0/legalcode
name: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
short: CC BY (3.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 83
year: '2017'
...
---
_id: '553'
abstract:
- lang: eng
text: 'We consider two player, zero-sum, finite-state concurrent reachability games,
played for an infinite number of rounds, where in every round, each player simultaneously
and independently of the other players chooses an action, whereafter the successor
state is determined by a probability distribution given by the current state and
the chosen actions. Player 1 wins iff a designated goal state is eventually visited.
We are interested in the complexity of stationary strategies measured by their
patience, which is defined as the inverse of the smallest non-zero probability
employed. Our main results are as follows: We show that: (i) the optimal bound
on the patience of optimal and -optimal strategies, for both players is doubly
exponential; and (ii) even in games with a single non-absorbing state exponential
(in the number of actions) patience is necessary. '
alternative_title:
- LIPIcs
article_number: '55'
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Kristofer
full_name: Hansen, Kristofer
last_name: Hansen
- first_name: Rasmus
full_name: Ibsen-Jensen, Rasmus
id: 3B699956-F248-11E8-B48F-1D18A9856A87
last_name: Ibsen-Jensen
orcid: 0000-0003-4783-0389
citation:
ama: 'Chatterjee K, Hansen K, Ibsen-Jensen R. Strategy complexity of concurrent
safety games. In: Leibniz International Proceedings in Informatics. Vol
83. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2017. doi:10.4230/LIPIcs.MFCS.2017.55'
apa: 'Chatterjee, K., Hansen, K., & Ibsen-Jensen, R. (2017). Strategy complexity
of concurrent safety games. In Leibniz International Proceedings in Informatics
(Vol. 83). Aalborg, Denmark: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
https://doi.org/10.4230/LIPIcs.MFCS.2017.55'
chicago: Chatterjee, Krishnendu, Kristofer Hansen, and Rasmus Ibsen-Jensen. “Strategy
Complexity of Concurrent Safety Games.” In Leibniz International Proceedings
in Informatics, Vol. 83. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2017. https://doi.org/10.4230/LIPIcs.MFCS.2017.55.
ieee: K. Chatterjee, K. Hansen, and R. Ibsen-Jensen, “Strategy complexity of concurrent
safety games,” in Leibniz International Proceedings in Informatics, Aalborg,
Denmark, 2017, vol. 83.
ista: 'Chatterjee K, Hansen K, Ibsen-Jensen R. 2017. Strategy complexity of concurrent
safety games. Leibniz International Proceedings in Informatics. MFCS: Mathematical
Foundations of Computer Science (SG), LIPIcs, vol. 83, 55.'
mla: Chatterjee, Krishnendu, et al. “Strategy Complexity of Concurrent Safety Games.”
Leibniz International Proceedings in Informatics, vol. 83, 55, Schloss
Dagstuhl - Leibniz-Zentrum für Informatik, 2017, doi:10.4230/LIPIcs.MFCS.2017.55.
short: K. Chatterjee, K. Hansen, R. Ibsen-Jensen, in:, Leibniz International Proceedings
in Informatics, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2017.
conference:
end_date: 2017-08-25
location: Aalborg, Denmark
name: 'MFCS: Mathematical Foundations of Computer Science (SG)'
start_date: 2017-08-21
date_created: 2018-12-11T11:47:08Z
date_published: 2017-11-01T00:00:00Z
date_updated: 2021-01-12T08:02:35Z
day: '01'
ddc:
- '004'
department:
- _id: KrCh
doi: 10.4230/LIPIcs.MFCS.2017.55
file:
- access_level: open_access
checksum: 7101facb56ade363205c695d72dbd173
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:29Z
date_updated: 2020-07-14T12:47:00Z
file_id: '4753'
file_name: IST-2018-922-v1+1_LIPIcs-MFCS-2017-55.pdf
file_size: 549967
relation: main_file
file_date_updated: 2020-07-14T12:47:00Z
has_accepted_license: '1'
intvolume: ' 83'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1506.02434
month: '11'
oa: 1
oa_version: Published Version
publication: Leibniz International Proceedings in Informatics
publication_identifier:
isbn:
- 978-395977046-0
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
publist_id: '7261'
pubrep_id: '922'
quality_controlled: '1'
scopus_import: 1
status: public
title: Strategy complexity of concurrent safety games
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 83
year: '2017'
...
---
_id: '5559'
abstract:
- lang: eng
text: Strong amplifiers of natural selection
article_processing_charge: No
author:
- first_name: Andreas
full_name: Pavlogiannis, Andreas
id: 49704004-F248-11E8-B48F-1D18A9856A87
last_name: Pavlogiannis
orcid: 0000-0002-8943-0722
- first_name: Josef
full_name: Tkadlec, Josef
id: 3F24CCC8-F248-11E8-B48F-1D18A9856A87
last_name: Tkadlec
orcid: 0000-0002-1097-9684
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Martin
full_name: Nowak , Martin
last_name: 'Nowak '
citation:
ama: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. Strong amplifiers of natural
selection. 2017. doi:10.15479/AT:ISTA:51
apa: Pavlogiannis, A., Tkadlec, J., Chatterjee, K., & Nowak , M. (2017). Strong
amplifiers of natural selection. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:51
chicago: Pavlogiannis, Andreas, Josef Tkadlec, Krishnendu Chatterjee, and Martin
Nowak . “Strong Amplifiers of Natural Selection.” Institute of Science and Technology
Austria, 2017. https://doi.org/10.15479/AT:ISTA:51.
ieee: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak , “Strong amplifiers
of natural selection.” Institute of Science and Technology Austria, 2017.
ista: Pavlogiannis A, Tkadlec J, Chatterjee K, Nowak M. 2017. Strong amplifiers
of natural selection, Institute of Science and Technology Austria, 10.15479/AT:ISTA:51.
mla: Pavlogiannis, Andreas, et al. Strong Amplifiers of Natural Selection.
Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:51.
short: A. Pavlogiannis, J. Tkadlec, K. Chatterjee, M. Nowak , (2017).
datarep_id: '51'
date_created: 2018-12-12T12:31:32Z
date_published: 2017-01-02T00:00:00Z
date_updated: 2024-02-21T13:48:42Z
day: '02'
ddc:
- '519'
department:
- _id: KrCh
doi: 10.15479/AT:ISTA:51
ec_funded: 1
file:
- access_level: open_access
checksum: b427dd46a30096a1911b245640c47af8
content_type: video/mp4
creator: system
date_created: 2018-12-12T13:05:18Z
date_updated: 2020-07-14T12:47:02Z
file_id: '5644'
file_name: IST-2017-51-v1+2_illustration.mp4
file_size: 32987015
relation: main_file
file_date_updated: 2020-07-14T12:47:02Z
has_accepted_license: '1'
keyword:
- natural selection
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '5452'
relation: research_paper
status: public
- id: '5751'
relation: research_paper
status: public
status: public
title: Strong amplifiers of natural selection
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '625'
abstract:
- lang: eng
text: In the analysis of reactive systems a quantitative objective assigns a real
value to every trace of the system. The value decision problem for a quantitative
objective requires a trace whose value is at least a given threshold, and the
exact value decision problem requires a trace whose value is exactly the threshold.
We compare the computational complexity of the value and exact value decision
problems for classical quantitative objectives, such as sum, discounted sum, energy,
and mean-payoff for two standard models of reactive systems, namely, graphs and
graph games.
acknowledgement: 'This research was supported in part by the Austrian Science Fund
(FWF) under grants S11402-N23 and S11407-N23 (RiSE/SHiNE), and Z211-N23 (Wittgenstein
Award), ERC Start grant (279307: Graph Games), Vienna Science and Technology Fund
(WWTF) through project ICT15-003.'
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Laurent
full_name: Doyen, Laurent
last_name: Doyen
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
citation:
ama: 'Chatterjee K, Doyen L, Henzinger TA. The cost of exactness in quantitative
reachability. In: Aceto L, Bacci G, Ingólfsdóttir A, Legay A, Mardare R, eds.
Models, Algorithms, Logics and Tools. Vol 10460. Theoretical Computer Science
and General Issues. Springer; 2017:367-381. doi:10.1007/978-3-319-63121-9_18'
apa: Chatterjee, K., Doyen, L., & Henzinger, T. A. (2017). The cost of exactness
in quantitative reachability. In L. Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay,
& R. Mardare (Eds.), Models, Algorithms, Logics and Tools (Vol. 10460,
pp. 367–381). Springer. https://doi.org/10.1007/978-3-319-63121-9_18
chicago: Chatterjee, Krishnendu, Laurent Doyen, and Thomas A Henzinger. “The Cost
of Exactness in Quantitative Reachability.” In Models, Algorithms, Logics and
Tools, edited by Luca Aceto, Giorgio Bacci, Anna Ingólfsdóttir, Axel Legay,
and Radu Mardare, 10460:367–81. Theoretical Computer Science and General Issues.
Springer, 2017. https://doi.org/10.1007/978-3-319-63121-9_18.
ieee: K. Chatterjee, L. Doyen, and T. A. Henzinger, “The cost of exactness in quantitative
reachability,” in Models, Algorithms, Logics and Tools, vol. 10460, L.
Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay, and R. Mardare, Eds. Springer, 2017,
pp. 367–381.
ista: 'Chatterjee K, Doyen L, Henzinger TA. 2017.The cost of exactness in quantitative
reachability. In: Models, Algorithms, Logics and Tools. LNCS, vol. 10460, 367–381.'
mla: Chatterjee, Krishnendu, et al. “The Cost of Exactness in Quantitative Reachability.”
Models, Algorithms, Logics and Tools, edited by Luca Aceto et al., vol.
10460, Springer, 2017, pp. 367–81, doi:10.1007/978-3-319-63121-9_18.
short: K. Chatterjee, L. Doyen, T.A. Henzinger, in:, L. Aceto, G. Bacci, A. Ingólfsdóttir,
A. Legay, R. Mardare (Eds.), Models, Algorithms, Logics and Tools, Springer, 2017,
pp. 367–381.
date_created: 2018-12-11T11:47:34Z
date_published: 2017-07-25T00:00:00Z
date_updated: 2025-06-02T08:53:45Z
day: '25'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.1007/978-3-319-63121-9_18
ec_funded: 1
editor:
- first_name: Luca
full_name: Aceto, Luca
last_name: Aceto
- first_name: Giorgio
full_name: Bacci, Giorgio
last_name: Bacci
- first_name: Anna
full_name: Ingólfsdóttir, Anna
last_name: Ingólfsdóttir
- first_name: Axel
full_name: Legay, Axel
last_name: Legay
- first_name: Radu
full_name: Mardare, Radu
last_name: Mardare
file:
- access_level: open_access
checksum: b2402766ec02c79801aac634bd8f9f6c
content_type: application/pdf
creator: dernst
date_created: 2019-11-19T08:06:50Z
date_updated: 2020-07-14T12:47:25Z
file_id: '7048'
file_name: 2017_ModelsAlgorithms_Chatterjee.pdf
file_size: 192826
relation: main_file
file_date_updated: 2020-07-14T12:47:25Z
has_accepted_license: '1'
intvolume: ' 10460'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
page: 367 - 381
project:
- _id: 25F5A88A-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Moderne Concurrency Paradigms
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: Models, Algorithms, Logics and Tools
publication_identifier:
isbn:
- 978-3-319-63120-2
issn:
- 0302-9743
publication_status: published
publisher: Springer
publist_id: '7170'
quality_controlled: '1'
scopus_import: '1'
series_title: Theoretical Computer Science and General Issues
status: public
title: The cost of exactness in quantitative reachability
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10460
year: '2017'
...
---
_id: '628'
abstract:
- lang: eng
text: We consider the problem of developing automated techniques for solving recurrence
relations to aid the expected-runtime analysis of programs. The motivation is
that several classical textbook algorithms have quite efficient expected-runtime
complexity, whereas the corresponding worst-case bounds are either inefficient
(e.g., Quick-Sort), or completely ineffective (e.g., Coupon-Collector). Since
the main focus of expected-runtime analysis is to obtain efficient bounds, we
consider bounds that are either logarithmic, linear or almost-linear (O(log n),
O(n), O(n · log n), respectively, where n represents the input size). Our main
contribution is an efficient (simple linear-time algorithm) sound approach for
deriving such expected-runtime bounds for the analysis of recurrence relations
induced by randomized algorithms. The experimental results show that our approach
can efficiently derive asymptotically optimal expected-runtime bounds for recurrences
of classical randomized algorithms, including Randomized-Search, Quick-Sort, Quick-Select,
Coupon-Collector, where the worst-case bounds are either inefficient (such as
linear as compared to logarithmic expected-runtime complexity, or quadratic as
compared to linear or almost-linear expected-runtime complexity), or ineffective.
alternative_title:
- LNCS
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Aniket
full_name: Murhekar, Aniket
last_name: Murhekar
citation:
ama: 'Chatterjee K, Fu H, Murhekar A. Automated recurrence analysis for almost linear
expected runtime bounds. In: Majumdar R, Kunčak V, eds. Vol 10426. Springer; 2017:118-139.
doi:10.1007/978-3-319-63387-9_6'
apa: 'Chatterjee, K., Fu, H., & Murhekar, A. (2017). Automated recurrence analysis
for almost linear expected runtime bounds. In R. Majumdar & V. Kunčak (Eds.)
(Vol. 10426, pp. 118–139). Presented at the CAV: Computer Aided Verification,
Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-63387-9_6'
chicago: Chatterjee, Krishnendu, Hongfei Fu, and Aniket Murhekar. “Automated Recurrence
Analysis for Almost Linear Expected Runtime Bounds.” edited by Rupak Majumdar
and Viktor Kunčak, 10426:118–39. Springer, 2017. https://doi.org/10.1007/978-3-319-63387-9_6.
ieee: 'K. Chatterjee, H. Fu, and A. Murhekar, “Automated recurrence analysis for
almost linear expected runtime bounds,” presented at the CAV: Computer Aided Verification,
Heidelberg, Germany, 2017, vol. 10426, pp. 118–139.'
ista: 'Chatterjee K, Fu H, Murhekar A. 2017. Automated recurrence analysis for almost
linear expected runtime bounds. CAV: Computer Aided Verification, LNCS, vol. 10426,
118–139.'
mla: Chatterjee, Krishnendu, et al. Automated Recurrence Analysis for Almost
Linear Expected Runtime Bounds. Edited by Rupak Majumdar and Viktor Kunčak,
vol. 10426, Springer, 2017, pp. 118–39, doi:10.1007/978-3-319-63387-9_6.
short: K. Chatterjee, H. Fu, A. Murhekar, in:, R. Majumdar, V. Kunčak (Eds.), Springer,
2017, pp. 118–139.
conference:
end_date: 2017-07-28
location: Heidelberg, Germany
name: 'CAV: Computer Aided Verification'
start_date: 2017-07-24
date_created: 2018-12-11T11:47:35Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2021-01-12T08:06:55Z
day: '01'
department:
- _id: KrCh
doi: 10.1007/978-3-319-63387-9_6
ec_funded: 1
editor:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Viktor
full_name: Kunčak, Viktor
last_name: Kunčak
intvolume: ' 10426'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1705.00314
month: '01'
oa: 1
oa_version: Submitted Version
page: 118 - 139
project:
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication_identifier:
isbn:
- 978-331963386-2
publication_status: published
publisher: Springer
publist_id: '7166'
quality_controlled: '1'
scopus_import: 1
status: public
title: Automated recurrence analysis for almost linear expected runtime bounds
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 10426
year: '2017'
...
---
_id: '639'
abstract:
- lang: eng
text: We study the problem of developing efficient approaches for proving worst-case
bounds of non-deterministic recursive programs. Ranking functions are sound and
complete for proving termination and worst-case bounds of non-recursive programs.
First, we apply ranking functions to recursion, resulting in measure functions,
and show that they provide a sound and complete approach to prove worst-case bounds
of non-deterministic recursive programs. Our second contribution is the synthesis
of measure functions in non-polynomial forms. We show that non-polynomial measure
functions with logarithm and exponentiation can be synthesized through abstraction
of logarithmic or exponentiation terms, Farkas’ Lemma, and Handelman’s Theorem
using linear programming. While previous methods obtain worst-case polynomial
bounds, our approach can synthesize bounds of the form O(n log n) as well as O(nr)
where r is not an integer. We present experimental results to demonstrate that
our approach can efficiently obtain worst-case bounds of classical recursive algorithms
such as Merge-Sort, Closest-Pair, Karatsuba’s algorithm and Strassen’s algorithm.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Amir
full_name: Goharshady, Amir
id: 391365CE-F248-11E8-B48F-1D18A9856A87
last_name: Goharshady
orcid: 0000-0003-1702-6584
citation:
ama: 'Chatterjee K, Fu H, Goharshady AK. Non-polynomial worst case analysis of recursive
programs. In: Majumdar R, Kunčak V, eds. Vol 10427. Springer; 2017:41-63. doi:10.1007/978-3-319-63390-9_3'
apa: 'Chatterjee, K., Fu, H., & Goharshady, A. K. (2017). Non-polynomial worst
case analysis of recursive programs. In R. Majumdar & V. Kunčak (Eds.) (Vol.
10427, pp. 41–63). Presented at the CAV: Computer Aided Verification, Heidelberg,
Germany: Springer. https://doi.org/10.1007/978-3-319-63390-9_3'
chicago: Chatterjee, Krishnendu, Hongfei Fu, and Amir Kafshdar Goharshady. “Non-Polynomial
Worst Case Analysis of Recursive Programs.” edited by Rupak Majumdar and Viktor
Kunčak, 10427:41–63. Springer, 2017. https://doi.org/10.1007/978-3-319-63390-9_3.
ieee: 'K. Chatterjee, H. Fu, and A. K. Goharshady, “Non-polynomial worst case analysis
of recursive programs,” presented at the CAV: Computer Aided Verification, Heidelberg,
Germany, 2017, vol. 10427, pp. 41–63.'
ista: 'Chatterjee K, Fu H, Goharshady AK. 2017. Non-polynomial worst case analysis
of recursive programs. CAV: Computer Aided Verification, LNCS, vol. 10427, 41–63.'
mla: Chatterjee, Krishnendu, et al. Non-Polynomial Worst Case Analysis of Recursive
Programs. Edited by Rupak Majumdar and Viktor Kunčak, vol. 10427, Springer,
2017, pp. 41–63, doi:10.1007/978-3-319-63390-9_3.
short: K. Chatterjee, H. Fu, A.K. Goharshady, in:, R. Majumdar, V. Kunčak (Eds.),
Springer, 2017, pp. 41–63.
conference:
end_date: 2017-07-28
location: Heidelberg, Germany
name: 'CAV: Computer Aided Verification'
start_date: 2017-07-24
date_created: 2018-12-11T11:47:39Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2025-06-02T08:53:47Z
day: '01'
department:
- _id: KrCh
doi: 10.1007/978-3-319-63390-9_3
ec_funded: 1
editor:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Viktor
full_name: Kunčak, Viktor
last_name: Kunčak
external_id:
arxiv:
- '1705.00317'
intvolume: ' 10427'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1705.00317
month: '01'
oa: 1
oa_version: Submitted Version
page: 41 - 63
project:
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication_identifier:
isbn:
- 978-331963389-3
publication_status: published
publisher: Springer
publist_id: '7149'
quality_controlled: '1'
related_material:
record:
- id: '8934'
relation: dissertation_contains
status: public
- id: '7014'
relation: later_version
status: public
scopus_import: 1
status: public
title: Non-polynomial worst case analysis of recursive programs
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10427
year: '2017'
...
---
_id: '645'
abstract:
- lang: eng
text: Markov decision processes (MDPs) are standard models for probabilistic systems
with non-deterministic behaviours. Long-run average rewards provide a mathematically
elegant formalism for expressing long term performance. Value iteration (VI) is
one of the simplest and most efficient algorithmic approaches to MDPs with other
properties, such as reachability objectives. Unfortunately, a naive extension
of VI does not work for MDPs with long-run average rewards, as there is no known
stopping criterion. In this work our contributions are threefold. (1) We refute
a conjecture related to stopping criteria for MDPs with long-run average rewards.
(2) We present two practical algorithms for MDPs with long-run average rewards
based on VI. First, we show that a combination of applying VI locally for each
maximal end-component (MEC) and VI for reachability objectives can provide approximation
guarantees. Second, extending the above approach with a simulation-guided on-demand
variant of VI, we present an anytime algorithm that is able to deal with very
large models. (3) Finally, we present experimental results showing that our methods
significantly outperform the standard approaches on several benchmarks.
alternative_title:
- LNCS
author:
- first_name: Pranav
full_name: Ashok, Pranav
last_name: Ashok
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Przemyslaw
full_name: Daca, Przemyslaw
id: 49351290-F248-11E8-B48F-1D18A9856A87
last_name: Daca
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tobias
full_name: Meggendorfer, Tobias
last_name: Meggendorfer
citation:
ama: 'Ashok P, Chatterjee K, Daca P, Kretinsky J, Meggendorfer T. Value iteration
for long run average reward in markov decision processes. In: Majumdar R, Kunčak
V, eds. Vol 10426. Springer; 2017:201-221. doi:10.1007/978-3-319-63387-9_10'
apa: 'Ashok, P., Chatterjee, K., Daca, P., Kretinsky, J., & Meggendorfer, T.
(2017). Value iteration for long run average reward in markov decision processes.
In R. Majumdar & V. Kunčak (Eds.) (Vol. 10426, pp. 201–221). Presented at
the CAV: Computer Aided Verification, Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-63387-9_10'
chicago: Ashok, Pranav, Krishnendu Chatterjee, Przemyslaw Daca, Jan Kretinsky, and
Tobias Meggendorfer. “Value Iteration for Long Run Average Reward in Markov Decision
Processes.” edited by Rupak Majumdar and Viktor Kunčak, 10426:201–21. Springer,
2017. https://doi.org/10.1007/978-3-319-63387-9_10.
ieee: 'P. Ashok, K. Chatterjee, P. Daca, J. Kretinsky, and T. Meggendorfer, “Value
iteration for long run average reward in markov decision processes,” presented
at the CAV: Computer Aided Verification, Heidelberg, Germany, 2017, vol. 10426,
pp. 201–221.'
ista: 'Ashok P, Chatterjee K, Daca P, Kretinsky J, Meggendorfer T. 2017. Value iteration
for long run average reward in markov decision processes. CAV: Computer Aided
Verification, LNCS, vol. 10426, 201–221.'
mla: Ashok, Pranav, et al. Value Iteration for Long Run Average Reward in Markov
Decision Processes. Edited by Rupak Majumdar and Viktor Kunčak, vol. 10426,
Springer, 2017, pp. 201–21, doi:10.1007/978-3-319-63387-9_10.
short: P. Ashok, K. Chatterjee, P. Daca, J. Kretinsky, T. Meggendorfer, in:, R.
Majumdar, V. Kunčak (Eds.), Springer, 2017, pp. 201–221.
conference:
end_date: 2017-07-28
location: Heidelberg, Germany
name: 'CAV: Computer Aided Verification'
start_date: 2017-07-24
date_created: 2018-12-11T11:47:41Z
date_published: 2017-07-13T00:00:00Z
date_updated: 2021-01-12T08:07:32Z
day: '13'
department:
- _id: KrCh
doi: 10.1007/978-3-319-63387-9_10
ec_funded: 1
editor:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Viktor
full_name: Kunčak, Viktor
last_name: Kunčak
intvolume: ' 10426'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1705.02326
month: '07'
oa: 1
oa_version: Submitted Version
page: 201 - 221
project:
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication_identifier:
isbn:
- 978-331963386-2
publication_status: published
publisher: Springer
publist_id: '7135'
quality_controlled: '1'
scopus_import: 1
status: public
title: Value iteration for long run average reward in markov decision processes
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 10426
year: '2017'
...
---
_id: '6519'
abstract:
- lang: eng
text: 'Graph games with omega-regular winning conditions provide a mathematical
framework to analyze a wide range of problems in the analysis of reactive systems
and programs (such as the synthesis of reactive systems, program repair, and the
verification of branching time properties). Parity conditions are canonical forms
to specify omega-regular winning conditions. Graph games with parity conditions
are equivalent to mu-calculus model checking, and thus a very important algorithmic
problem. Symbolic algorithms are of great significance because they provide scalable
algorithms for the analysis of large finite-state systems, as well as algorithms
for the analysis of infinite-state systems with finite quotient. A set-based symbolic
algorithm uses the basic set operations and the one-step predecessor operators.
We consider graph games with n vertices and parity conditions with c priorities
(equivalently, a mu-calculus formula with c alternations of least and greatest
fixed points). While many explicit algorithms exist for graph games with parity
conditions, for set-based symbolic algorithms there are only two algorithms (notice
that we use space to refer to the number of sets stored by a symbolic algorithm):
(a) the basic algorithm that requires O(n^c) symbolic operations and linear space;
and (b) an improved algorithm that requires O(n^{c/2+1}) symbolic operations but
also O(n^{c/2+1}) space (i.e., exponential space). In this work we present two
set-based symbolic algorithms for parity games: (a) our first algorithm requires
O(n^{c/2+1}) symbolic operations and only requires linear space; and (b) developing
on our first algorithm, we present an algorithm that requires O(n^{c/3+1}) symbolic
operations and only linear space. We also present the first linear space set-based
symbolic algorithm for parity games that requires at most a sub-exponential number
of symbolic operations. '
article_number: '18'
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Wolfgang
full_name: Dvorák, Wolfgang
last_name: Dvorák
- first_name: Monika H
full_name: Henzinger, Monika H
id: 540c9bbd-f2de-11ec-812d-d04a5be85630
last_name: Henzinger
orcid: 0000-0002-5008-6530
- first_name: Veronika
full_name: Loitzenbauer, Veronika
last_name: Loitzenbauer
citation:
ama: 'Chatterjee K, Dvorák W, Henzinger MH, Loitzenbauer V. Improved set-based symbolic
algorithms for parity games. In: Vol 82. Schloss Dagstuhl -Leibniz-Zentrum fuer
Informatik; 2017. doi:10.4230/LIPICS.CSL.2017.18'
apa: 'Chatterjee, K., Dvorák, W., Henzinger, M. H., & Loitzenbauer, V. (2017).
Improved set-based symbolic algorithms for parity games (Vol. 82). Presented at
the CSL: Conference on Computer Science Logic, Stockholm, Sweden: Schloss Dagstuhl
-Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPICS.CSL.2017.18'
chicago: Chatterjee, Krishnendu, Wolfgang Dvorák, Monika H Henzinger, and Veronika
Loitzenbauer. “Improved Set-Based Symbolic Algorithms for Parity Games,” Vol.
82. Schloss Dagstuhl -Leibniz-Zentrum fuer Informatik, 2017. https://doi.org/10.4230/LIPICS.CSL.2017.18.
ieee: 'K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Improved
set-based symbolic algorithms for parity games,” presented at the CSL: Conference
on Computer Science Logic, Stockholm, Sweden, 2017, vol. 82.'
ista: 'Chatterjee K, Dvorák W, Henzinger MH, Loitzenbauer V. 2017. Improved set-based
symbolic algorithms for parity games. CSL: Conference on Computer Science Logic
vol. 82, 18.'
mla: Chatterjee, Krishnendu, et al. Improved Set-Based Symbolic Algorithms for
Parity Games. Vol. 82, 18, Schloss Dagstuhl -Leibniz-Zentrum fuer Informatik,
2017, doi:10.4230/LIPICS.CSL.2017.18.
short: K. Chatterjee, W. Dvorák, M.H. Henzinger, V. Loitzenbauer, in:, Schloss Dagstuhl
-Leibniz-Zentrum fuer Informatik, 2017.
conference:
end_date: 2017-08-24
location: Stockholm, Sweden
name: 'CSL: Conference on Computer Science Logic'
start_date: 2017-08-20
date_created: 2019-06-04T12:42:43Z
date_published: 2017-08-01T00:00:00Z
date_updated: 2025-06-02T08:53:46Z
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doi: 10.4230/LIPICS.CSL.2017.18
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title: Improved set-based symbolic algorithms for parity games
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