---
_id: '1682'
abstract:
- lang: eng
  text: 'We study the problem of robust satisfiability of systems of nonlinear equations,
    namely, whether for a given continuous function f:K→ ℝn on a finite simplicial
    complex K and α &gt; 0, it holds that each function g: K → ℝn such that ||g -
    f || ∞ &lt; α, has a root in K. Via a reduction to the extension problem of maps
    into a sphere, we particularly show that this problem is decidable in polynomial
    time for every fixed n, assuming dimK ≤ 2n - 3. This is a substantial extension
    of previous computational applications of topological degree and related concepts
    in numerical and interval analysis. Via a reverse reduction, we prove that the
    problem is undecidable when dim K &gt; 2n - 2, where the threshold comes from
    the stable range in homotopy theory. For the lucidity of our exposition, we focus
    on the setting when f is simplexwise linear. Such functions can approximate general
    continuous functions, and thus we get approximation schemes and undecidability
    of the robust satisfiability in other possible settings.'
article_number: '26'
author:
- first_name: Peter
  full_name: Franek, Peter
  last_name: Franek
- first_name: Marek
  full_name: Krcál, Marek
  id: 33E21118-F248-11E8-B48F-1D18A9856A87
  last_name: Krcál
citation:
  ama: Franek P, Krcál M. Robust satisfiability of systems of equations. <i>Journal
    of the ACM</i>. 2015;62(4). doi:<a href="https://doi.org/10.1145/2751524">10.1145/2751524</a>
  apa: Franek, P., &#38; Krcál, M. (2015). Robust satisfiability of systems of equations.
    <i>Journal of the ACM</i>. ACM. <a href="https://doi.org/10.1145/2751524">https://doi.org/10.1145/2751524</a>
  chicago: Franek, Peter, and Marek Krcál. “Robust Satisfiability of Systems of Equations.”
    <i>Journal of the ACM</i>. ACM, 2015. <a href="https://doi.org/10.1145/2751524">https://doi.org/10.1145/2751524</a>.
  ieee: P. Franek and M. Krcál, “Robust satisfiability of systems of equations,” <i>Journal
    of the ACM</i>, vol. 62, no. 4. ACM, 2015.
  ista: Franek P, Krcál M. 2015. Robust satisfiability of systems of equations. Journal
    of the ACM. 62(4), 26.
  mla: Franek, Peter, and Marek Krcál. “Robust Satisfiability of Systems of Equations.”
    <i>Journal of the ACM</i>, vol. 62, no. 4, 26, ACM, 2015, doi:<a href="https://doi.org/10.1145/2751524">10.1145/2751524</a>.
  short: P. Franek, M. Krcál, Journal of the ACM 62 (2015).
date_created: 2018-12-11T11:53:27Z
date_published: 2015-08-01T00:00:00Z
date_updated: 2021-01-12T06:52:30Z
day: '01'
department:
- _id: UlWa
- _id: HeEd
doi: 10.1145/2751524
intvolume: '        62'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1402.0858
month: '08'
oa: 1
oa_version: Preprint
publication: Journal of the ACM
publication_status: published
publisher: ACM
publist_id: '5466'
quality_controlled: '1'
scopus_import: 1
status: public
title: Robust satisfiability of systems of equations
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 62
year: '2015'
...
---
_id: '1710'
abstract:
- lang: eng
  text: 'We consider the hollow on the half-plane {(x, y) : y ≤ 0} ⊂ ℝ2 defined by
    a function u : (-1, 1) → ℝ, u(x) &lt; 0, and a vertical flow of point particles
    incident on the hollow. It is assumed that u satisfies the so-called single impact
    condition (SIC): each incident particle is elastically reflected by graph(u) and
    goes away without hitting the graph of u anymore. We solve the problem: find the
    function u minimizing the force of resistance created by the flow. We show that
    the graph of the minimizer is formed by two arcs of parabolas symmetric to each
    other with respect to the y-axis. Assuming that the resistance of u ≡ 0 equals
    1, we show that the minimal resistance equals π/2 - 2arctan(1/2) ≈ 0.6435. This
    result completes the previously obtained result [SIAM J. Math. Anal., 46 (2014),
    pp. 2730-2742] stating in particular that the minimal resistance of a hollow in
    higher dimensions equals 0.5. We additionally consider a similar problem of minimal
    resistance, where the hollow in the half-space {(x1,...,xd,y) : y ≤ 0} ⊂ ℝd+1
    is defined by a radial function U satisfying the SIC, U(x) = u(|x|), with x =
    (x1,...,xd), u(ξ) &lt; 0 for 0 ≤ ξ &lt; 1, and u(ξ) = 0 for ξ ≥ 1, and the flow
    is parallel to the y-axis. The minimal resistance is greater than 0.5 (and coincides
    with 0.6435 when d = 1) and converges to 0.5 as d → ∞.'
author:
- first_name: Arseniy
  full_name: Akopyan, Arseniy
  id: 430D2C90-F248-11E8-B48F-1D18A9856A87
  last_name: Akopyan
  orcid: 0000-0002-2548-617X
- first_name: Alexander
  full_name: Plakhov, Alexander
  last_name: Plakhov
citation:
  ama: Akopyan A, Plakhov A. Minimal resistance of curves under the single impact
    assumption. <i>Society for Industrial and Applied Mathematics</i>. 2015;47(4):2754-2769.
    doi:<a href="https://doi.org/10.1137/140993843">10.1137/140993843</a>
  apa: Akopyan, A., &#38; Plakhov, A. (2015). Minimal resistance of curves under the
    single impact assumption. <i>Society for Industrial and Applied Mathematics</i>.
    SIAM. <a href="https://doi.org/10.1137/140993843">https://doi.org/10.1137/140993843</a>
  chicago: Akopyan, Arseniy, and Alexander Plakhov. “Minimal Resistance of Curves
    under the Single Impact Assumption.” <i>Society for Industrial and Applied Mathematics</i>.
    SIAM, 2015. <a href="https://doi.org/10.1137/140993843">https://doi.org/10.1137/140993843</a>.
  ieee: A. Akopyan and A. Plakhov, “Minimal resistance of curves under the single
    impact assumption,” <i>Society for Industrial and Applied Mathematics</i>, vol.
    47, no. 4. SIAM, pp. 2754–2769, 2015.
  ista: Akopyan A, Plakhov A. 2015. Minimal resistance of curves under the single
    impact assumption. Society for Industrial and Applied Mathematics. 47(4), 2754–2769.
  mla: Akopyan, Arseniy, and Alexander Plakhov. “Minimal Resistance of Curves under
    the Single Impact Assumption.” <i>Society for Industrial and Applied Mathematics</i>,
    vol. 47, no. 4, SIAM, 2015, pp. 2754–69, doi:<a href="https://doi.org/10.1137/140993843">10.1137/140993843</a>.
  short: A. Akopyan, A. Plakhov, Society for Industrial and Applied Mathematics 47
    (2015) 2754–2769.
date_created: 2018-12-11T11:53:36Z
date_published: 2015-07-14T00:00:00Z
date_updated: 2021-01-12T06:52:41Z
day: '14'
department:
- _id: HeEd
doi: 10.1137/140993843
ec_funded: 1
intvolume: '        47'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1410.3736
month: '07'
oa: 1
oa_version: Preprint
page: 2754 - 2769
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Society for Industrial and Applied Mathematics
publication_status: published
publisher: SIAM
publist_id: '5423'
quality_controlled: '1'
scopus_import: 1
status: public
title: Minimal resistance of curves under the single impact assumption
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 47
year: '2015'
...
---
_id: '1792'
abstract:
- lang: eng
  text: Motivated by recent ideas of Harman (Unif. Distrib. Theory, 2010) we develop
    a new concept of variation of multivariate functions on a compact Hausdorff space
    with respect to a collection D of subsets. We prove a general version of the Koksma-Hlawka
    theorem that holds for this notion of variation and discrepancy with respect to
    D. As special cases, we obtain Koksma-Hlawka inequalities for classical notions,
    such as extreme or isotropic discrepancy. For extreme discrepancy, our result
    coincides with the usual Koksma-Hlawka theorem. We show that the space of functions
    of bounded D-variation contains important discontinuous functions and is closed
    under natural algebraic operations. Finally, we illustrate the results on concrete
    integration problems from integral geometry and stereology.
acknowledgement: F.P. is supported by the Graduate School of IST Austria, A.M.S is
  supported by the Centre for Stochastic Geometry and Advanced Bioimaging funded by
  a grant from the Villum Foundation.
author:
- first_name: Florian
  full_name: Pausinger, Florian
  id: 2A77D7A2-F248-11E8-B48F-1D18A9856A87
  last_name: Pausinger
  orcid: 0000-0002-8379-3768
- first_name: Anne
  full_name: Svane, Anne
  last_name: Svane
citation:
  ama: Pausinger F, Svane A. A Koksma-Hlawka inequality for general discrepancy systems.
    <i>Journal of Complexity</i>. 2015;31(6):773-797. doi:<a href="https://doi.org/10.1016/j.jco.2015.06.002">10.1016/j.jco.2015.06.002</a>
  apa: Pausinger, F., &#38; Svane, A. (2015). A Koksma-Hlawka inequality for general
    discrepancy systems. <i>Journal of Complexity</i>. Academic Press. <a href="https://doi.org/10.1016/j.jco.2015.06.002">https://doi.org/10.1016/j.jco.2015.06.002</a>
  chicago: Pausinger, Florian, and Anne Svane. “A Koksma-Hlawka Inequality for General
    Discrepancy Systems.” <i>Journal of Complexity</i>. Academic Press, 2015. <a href="https://doi.org/10.1016/j.jco.2015.06.002">https://doi.org/10.1016/j.jco.2015.06.002</a>.
  ieee: F. Pausinger and A. Svane, “A Koksma-Hlawka inequality for general discrepancy
    systems,” <i>Journal of Complexity</i>, vol. 31, no. 6. Academic Press, pp. 773–797,
    2015.
  ista: Pausinger F, Svane A. 2015. A Koksma-Hlawka inequality for general discrepancy
    systems. Journal of Complexity. 31(6), 773–797.
  mla: Pausinger, Florian, and Anne Svane. “A Koksma-Hlawka Inequality for General
    Discrepancy Systems.” <i>Journal of Complexity</i>, vol. 31, no. 6, Academic Press,
    2015, pp. 773–97, doi:<a href="https://doi.org/10.1016/j.jco.2015.06.002">10.1016/j.jco.2015.06.002</a>.
  short: F. Pausinger, A. Svane, Journal of Complexity 31 (2015) 773–797.
date_created: 2018-12-11T11:54:02Z
date_published: 2015-12-01T00:00:00Z
date_updated: 2023-09-07T11:41:25Z
day: '01'
department:
- _id: HeEd
doi: 10.1016/j.jco.2015.06.002
intvolume: '        31'
issue: '6'
language:
- iso: eng
month: '12'
oa_version: None
page: 773 - 797
publication: Journal of Complexity
publication_status: published
publisher: Academic Press
publist_id: '5320'
quality_controlled: '1'
related_material:
  record:
  - id: '1399'
    relation: dissertation_contains
    status: public
scopus_import: 1
status: public
title: A Koksma-Hlawka inequality for general discrepancy systems
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '2015'
...
---
_id: '1793'
abstract:
- lang: eng
  text: We present a software platform for reconstructing and analyzing the growth
    of a plant root system from a time-series of 3D voxelized shapes. It aligns the
    shapes with each other, constructs a geometric graph representation together with
    the function that records the time of growth, and organizes the branches into
    a hierarchy that reflects the order of creation. The software includes the automatic
    computation of structural and dynamic traits for each root in the system enabling
    the quantification of growth on fine-scale. These are important advances in plant
    phenotyping with applications to the study of genetic and environmental influences
    on growth.
article_number: e0127657
author:
- first_name: Olga
  full_name: Symonova, Olga
  id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
  last_name: Symonova
- first_name: Christopher
  full_name: Topp, Christopher
  last_name: Topp
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
citation:
  ama: 'Symonova O, Topp C, Edelsbrunner H. DynamicRoots: A software platform for
    the reconstruction and analysis of growing plant roots. <i>PLoS One</i>. 2015;10(6).
    doi:<a href="https://doi.org/10.1371/journal.pone.0127657">10.1371/journal.pone.0127657</a>'
  apa: 'Symonova, O., Topp, C., &#38; Edelsbrunner, H. (2015). DynamicRoots: A software
    platform for the reconstruction and analysis of growing plant roots. <i>PLoS One</i>.
    Public Library of Science. <a href="https://doi.org/10.1371/journal.pone.0127657">https://doi.org/10.1371/journal.pone.0127657</a>'
  chicago: 'Symonova, Olga, Christopher Topp, and Herbert Edelsbrunner. “DynamicRoots:
    A Software Platform for the Reconstruction and Analysis of Growing Plant Roots.”
    <i>PLoS One</i>. Public Library of Science, 2015. <a href="https://doi.org/10.1371/journal.pone.0127657">https://doi.org/10.1371/journal.pone.0127657</a>.'
  ieee: 'O. Symonova, C. Topp, and H. Edelsbrunner, “DynamicRoots: A software platform
    for the reconstruction and analysis of growing plant roots,” <i>PLoS One</i>,
    vol. 10, no. 6. Public Library of Science, 2015.'
  ista: 'Symonova O, Topp C, Edelsbrunner H. 2015. DynamicRoots: A software platform
    for the reconstruction and analysis of growing plant roots. PLoS One. 10(6), e0127657.'
  mla: 'Symonova, Olga, et al. “DynamicRoots: A Software Platform for the Reconstruction
    and Analysis of Growing Plant Roots.” <i>PLoS One</i>, vol. 10, no. 6, e0127657,
    Public Library of Science, 2015, doi:<a href="https://doi.org/10.1371/journal.pone.0127657">10.1371/journal.pone.0127657</a>.'
  short: O. Symonova, C. Topp, H. Edelsbrunner, PLoS One 10 (2015).
date_created: 2018-12-11T11:54:02Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-02-23T14:06:33Z
day: '01'
ddc:
- '000'
department:
- _id: MaJö
- _id: HeEd
doi: 10.1371/journal.pone.0127657
file:
- access_level: open_access
  checksum: d20f26461ca575276ad3ed9ce4bfc787
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:15:30Z
  date_updated: 2020-07-14T12:45:16Z
  file_id: '5150'
  file_name: IST-2016-454-v1+1_journal.pone.0127657.pdf
  file_size: 1850825
  relation: main_file
file_date_updated: 2020-07-14T12:45:16Z
has_accepted_license: '1'
intvolume: '        10'
issue: '6'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '06'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '5318'
pubrep_id: '454'
quality_controlled: '1'
related_material:
  record:
  - id: '9737'
    relation: research_data
    status: public
scopus_import: 1
status: public
title: 'DynamicRoots: A software platform for the reconstruction and analysis of growing
  plant roots'
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: 10
year: '2015'
...
---
_id: '1805'
abstract:
- lang: eng
  text: 'We consider the problem of deciding whether the persistent homology group
    of a simplicial pair (K,L) can be realized as the homology H∗(X) of some complex
    X with L ⊂ X ⊂ K. We show that this problem is NP-complete even if K is embedded
    in double-struck R3. As a consequence, we show that it is NP-hard to simplify
    level and sublevel sets of scalar functions on double-struck S3 within a given
    tolerance constraint. This problem has relevance to the visualization of medical
    images by isosurfaces. We also show an implication to the theory of well groups
    of scalar functions: not every well group can be realized by some level set, and
    deciding whether a well group can be realized is NP-hard.'
author:
- first_name: Dominique
  full_name: Attali, Dominique
  last_name: Attali
- first_name: Ulrich
  full_name: Bauer, Ulrich
  id: 2ADD483A-F248-11E8-B48F-1D18A9856A87
  last_name: Bauer
  orcid: 0000-0002-9683-0724
- first_name: Olivier
  full_name: Devillers, Olivier
  last_name: Devillers
- first_name: Marc
  full_name: Glisse, Marc
  last_name: Glisse
- first_name: André
  full_name: Lieutier, André
  last_name: Lieutier
citation:
  ama: 'Attali D, Bauer U, Devillers O, Glisse M, Lieutier A. Homological reconstruction
    and simplification in R3. <i>Computational Geometry: Theory and Applications</i>.
    2015;48(8):606-621. doi:<a href="https://doi.org/10.1016/j.comgeo.2014.08.010">10.1016/j.comgeo.2014.08.010</a>'
  apa: 'Attali, D., Bauer, U., Devillers, O., Glisse, M., &#38; Lieutier, A. (2015).
    Homological reconstruction and simplification in R3. <i>Computational Geometry:
    Theory and Applications</i>. Elsevier. <a href="https://doi.org/10.1016/j.comgeo.2014.08.010">https://doi.org/10.1016/j.comgeo.2014.08.010</a>'
  chicago: 'Attali, Dominique, Ulrich Bauer, Olivier Devillers, Marc Glisse, and André
    Lieutier. “Homological Reconstruction and Simplification in R3.” <i>Computational
    Geometry: Theory and Applications</i>. Elsevier, 2015. <a href="https://doi.org/10.1016/j.comgeo.2014.08.010">https://doi.org/10.1016/j.comgeo.2014.08.010</a>.'
  ieee: 'D. Attali, U. Bauer, O. Devillers, M. Glisse, and A. Lieutier, “Homological
    reconstruction and simplification in R3,” <i>Computational Geometry: Theory and
    Applications</i>, vol. 48, no. 8. Elsevier, pp. 606–621, 2015.'
  ista: 'Attali D, Bauer U, Devillers O, Glisse M, Lieutier A. 2015. Homological reconstruction
    and simplification in R3. Computational Geometry: Theory and Applications. 48(8),
    606–621.'
  mla: 'Attali, Dominique, et al. “Homological Reconstruction and Simplification in
    R3.” <i>Computational Geometry: Theory and Applications</i>, vol. 48, no. 8, Elsevier,
    2015, pp. 606–21, doi:<a href="https://doi.org/10.1016/j.comgeo.2014.08.010">10.1016/j.comgeo.2014.08.010</a>.'
  short: 'D. Attali, U. Bauer, O. Devillers, M. Glisse, A. Lieutier, Computational
    Geometry: Theory and Applications 48 (2015) 606–621.'
date_created: 2018-12-11T11:54:06Z
date_published: 2015-06-03T00:00:00Z
date_updated: 2023-02-23T10:59:19Z
day: '03'
department:
- _id: HeEd
doi: 10.1016/j.comgeo.2014.08.010
ec_funded: 1
intvolume: '        48'
issue: '8'
language:
- iso: eng
month: '06'
oa_version: None
page: 606 - 621
project:
- _id: 255D761E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '318493'
  name: Topological Complex Systems
publication: 'Computational Geometry: Theory and Applications'
publication_status: published
publisher: Elsevier
publist_id: '5305'
quality_controlled: '1'
related_material:
  record:
  - id: '2812'
    relation: earlier_version
    status: public
scopus_import: 1
status: public
title: Homological reconstruction and simplification in R3
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 48
year: '2015'
...
---
_id: '1828'
abstract:
- lang: eng
  text: We construct a non-linear Markov process connected with a biological model
    of a bacterial genome recombination. The description of invariant measures of
    this process gives us the solution of one problem in elementary probability theory.
article_processing_charge: No
author:
- first_name: Arseniy
  full_name: Akopyan, Arseniy
  id: 430D2C90-F248-11E8-B48F-1D18A9856A87
  last_name: Akopyan
  orcid: 0000-0002-2548-617X
- first_name: Sergey
  full_name: Pirogov, Sergey
  last_name: Pirogov
- first_name: Aleksandr
  full_name: Rybko, Aleksandr
  last_name: Rybko
citation:
  ama: Akopyan A, Pirogov S, Rybko A. Invariant measures of genetic recombination
    process. <i>Journal of Statistical Physics</i>. 2015;160(1):163-167. doi:<a href="https://doi.org/10.1007/s10955-015-1238-5">10.1007/s10955-015-1238-5</a>
  apa: Akopyan, A., Pirogov, S., &#38; Rybko, A. (2015). Invariant measures of genetic
    recombination process. <i>Journal of Statistical Physics</i>. Springer. <a href="https://doi.org/10.1007/s10955-015-1238-5">https://doi.org/10.1007/s10955-015-1238-5</a>
  chicago: Akopyan, Arseniy, Sergey Pirogov, and Aleksandr Rybko. “Invariant Measures
    of Genetic Recombination Process.” <i>Journal of Statistical Physics</i>. Springer,
    2015. <a href="https://doi.org/10.1007/s10955-015-1238-5">https://doi.org/10.1007/s10955-015-1238-5</a>.
  ieee: A. Akopyan, S. Pirogov, and A. Rybko, “Invariant measures of genetic recombination
    process,” <i>Journal of Statistical Physics</i>, vol. 160, no. 1. Springer, pp.
    163–167, 2015.
  ista: Akopyan A, Pirogov S, Rybko A. 2015. Invariant measures of genetic recombination
    process. Journal of Statistical Physics. 160(1), 163–167.
  mla: Akopyan, Arseniy, et al. “Invariant Measures of Genetic Recombination Process.”
    <i>Journal of Statistical Physics</i>, vol. 160, no. 1, Springer, 2015, pp. 163–67,
    doi:<a href="https://doi.org/10.1007/s10955-015-1238-5">10.1007/s10955-015-1238-5</a>.
  short: A. Akopyan, S. Pirogov, A. Rybko, Journal of Statistical Physics 160 (2015)
    163–167.
date_created: 2018-12-11T11:54:14Z
date_published: 2015-07-01T00:00:00Z
date_updated: 2021-01-12T06:53:28Z
day: '01'
department:
- _id: HeEd
doi: 10.1007/s10955-015-1238-5
ec_funded: 1
intvolume: '       160'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: arxiv.org/abs/1406.5313
month: '07'
oa: 1
oa_version: Preprint
page: 163 - 167
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '291734'
  name: International IST Postdoc Fellowship Programme
publication: Journal of Statistical Physics
publication_status: published
publisher: Springer
publist_id: '5276'
quality_controlled: '1'
scopus_import: 1
status: public
title: Invariant measures of genetic recombination process
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 160
year: '2015'
...
---
_id: '1938'
abstract:
- lang: eng
  text: 'We numerically investigate the distribution of extrema of ''chaotic'' Laplacian
    eigenfunctions on two-dimensional manifolds. Our contribution is two-fold: (a)
    we count extrema on grid graphs with a small number of randomly added edges and
    show the behavior to coincide with the 1957 prediction of Longuet-Higgins for
    the continuous case and (b) we compute the regularity of their spatial distribution
    using discrepancy, which is a classical measure from the theory of Monte Carlo
    integration. The first part suggests that grid graphs with randomly added edges
    should behave like two-dimensional surfaces with ergodic geodesic flow; in the
    second part we show that the extrema are more regularly distributed in space than
    the grid Z2.'
acknowledgement: "F.P. was supported by the Graduate School of IST Austria. S.S. was
  partially supported by CRC1060 of the DFG\r\nThe authors thank Olga Symonova and
  Michael Kerber for sharing their implementation of the persistence algorithm. "
author:
- first_name: Florian
  full_name: Pausinger, Florian
  id: 2A77D7A2-F248-11E8-B48F-1D18A9856A87
  last_name: Pausinger
  orcid: 0000-0002-8379-3768
- first_name: Stefan
  full_name: Steinerberger, Stefan
  last_name: Steinerberger
citation:
  ama: Pausinger F, Steinerberger S. On the distribution of local extrema in quantum
    chaos. <i>Physics Letters, Section A</i>. 2015;379(6):535-541. doi:<a href="https://doi.org/10.1016/j.physleta.2014.12.010">10.1016/j.physleta.2014.12.010</a>
  apa: Pausinger, F., &#38; Steinerberger, S. (2015). On the distribution of local
    extrema in quantum chaos. <i>Physics Letters, Section A</i>. Elsevier. <a href="https://doi.org/10.1016/j.physleta.2014.12.010">https://doi.org/10.1016/j.physleta.2014.12.010</a>
  chicago: Pausinger, Florian, and Stefan Steinerberger. “On the Distribution of Local
    Extrema in Quantum Chaos.” <i>Physics Letters, Section A</i>. Elsevier, 2015.
    <a href="https://doi.org/10.1016/j.physleta.2014.12.010">https://doi.org/10.1016/j.physleta.2014.12.010</a>.
  ieee: F. Pausinger and S. Steinerberger, “On the distribution of local extrema in
    quantum chaos,” <i>Physics Letters, Section A</i>, vol. 379, no. 6. Elsevier,
    pp. 535–541, 2015.
  ista: Pausinger F, Steinerberger S. 2015. On the distribution of local extrema in
    quantum chaos. Physics Letters, Section A. 379(6), 535–541.
  mla: Pausinger, Florian, and Stefan Steinerberger. “On the Distribution of Local
    Extrema in Quantum Chaos.” <i>Physics Letters, Section A</i>, vol. 379, no. 6,
    Elsevier, 2015, pp. 535–41, doi:<a href="https://doi.org/10.1016/j.physleta.2014.12.010">10.1016/j.physleta.2014.12.010</a>.
  short: F. Pausinger, S. Steinerberger, Physics Letters, Section A 379 (2015) 535–541.
date_created: 2018-12-11T11:54:49Z
date_published: 2015-03-06T00:00:00Z
date_updated: 2021-01-12T06:54:12Z
day: '06'
department:
- _id: HeEd
doi: 10.1016/j.physleta.2014.12.010
intvolume: '       379'
issue: '6'
language:
- iso: eng
month: '03'
oa_version: None
page: 535 - 541
publication: Physics Letters, Section A
publication_status: published
publisher: Elsevier
publist_id: '5152'
quality_controlled: '1'
scopus_import: 1
status: public
title: On the distribution of local extrema in quantum chaos
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 379
year: '2015'
...
---
_id: '2035'
abstract:
- lang: eng
  text: "Considering a continuous self-map and the induced endomorphism on homology,
    we study the eigenvalues and eigenspaces of the latter. Taking a filtration of
    representations, we define the persistence of the eigenspaces, effectively introducing
    a hierarchical organization of the map. The algorithm that computes this information
    for a finite sample is proved to be stable, and to give the correct answer for
    a sufficiently dense sample. Results computed with an implementation of the algorithm
    provide evidence of its practical utility.\r\n"
acknowledgement: This research is partially supported by the Toposys project FP7-ICT-318493-STREP,
  by ESF under the ACAT Research Network Programme, by the Russian Government under
  mega project 11.G34.31.0053, and by the Polish National Science Center under Grant
  No. N201 419639.
author:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Grzegorz
  full_name: Jablonski, Grzegorz
  id: 4483EF78-F248-11E8-B48F-1D18A9856A87
  last_name: Jablonski
  orcid: 0000-0002-3536-9866
- first_name: Marian
  full_name: Mrozek, Marian
  last_name: Mrozek
citation:
  ama: Edelsbrunner H, Jablonski G, Mrozek M. The persistent homology of a self-map.
    <i>Foundations of Computational Mathematics</i>. 2015;15(5):1213-1244. doi:<a
    href="https://doi.org/10.1007/s10208-014-9223-y">10.1007/s10208-014-9223-y</a>
  apa: Edelsbrunner, H., Jablonski, G., &#38; Mrozek, M. (2015). The persistent homology
    of a self-map. <i>Foundations of Computational Mathematics</i>. Springer. <a href="https://doi.org/10.1007/s10208-014-9223-y">https://doi.org/10.1007/s10208-014-9223-y</a>
  chicago: Edelsbrunner, Herbert, Grzegorz Jablonski, and Marian Mrozek. “The Persistent
    Homology of a Self-Map.” <i>Foundations of Computational Mathematics</i>. Springer,
    2015. <a href="https://doi.org/10.1007/s10208-014-9223-y">https://doi.org/10.1007/s10208-014-9223-y</a>.
  ieee: H. Edelsbrunner, G. Jablonski, and M. Mrozek, “The persistent homology of
    a self-map,” <i>Foundations of Computational Mathematics</i>, vol. 15, no. 5.
    Springer, pp. 1213–1244, 2015.
  ista: Edelsbrunner H, Jablonski G, Mrozek M. 2015. The persistent homology of a
    self-map. Foundations of Computational Mathematics. 15(5), 1213–1244.
  mla: Edelsbrunner, Herbert, et al. “The Persistent Homology of a Self-Map.” <i>Foundations
    of Computational Mathematics</i>, vol. 15, no. 5, Springer, 2015, pp. 1213–44,
    doi:<a href="https://doi.org/10.1007/s10208-014-9223-y">10.1007/s10208-014-9223-y</a>.
  short: H. Edelsbrunner, G. Jablonski, M. Mrozek, Foundations of Computational Mathematics
    15 (2015) 1213–1244.
date_created: 2018-12-11T11:55:20Z
date_published: 2015-10-01T00:00:00Z
date_updated: 2021-01-12T06:54:53Z
day: '01'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1007/s10208-014-9223-y
ec_funded: 1
file:
- access_level: open_access
  checksum: 3566f3a8b0c1bc550e62914a88c584ff
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:08:10Z
  date_updated: 2020-07-14T12:45:26Z
  file_id: '4670'
  file_name: IST-2016-486-v1+1_s10208-014-9223-y.pdf
  file_size: 1317546
  relation: main_file
file_date_updated: 2020-07-14T12:45:26Z
has_accepted_license: '1'
intvolume: '        15'
issue: '5'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1213 - 1244
project:
- _id: 255D761E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '318493'
  name: Topological Complex Systems
publication: Foundations of Computational Mathematics
publication_status: published
publisher: Springer
publist_id: '5022'
pubrep_id: '486'
quality_controlled: '1'
scopus_import: 1
status: public
title: The persistent homology of a self-map
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: 15
year: '2015'
...
---
_id: '1399'
abstract:
- lang: eng
  text: This thesis is concerned with the computation and approximation of intrinsic
    volumes. Given a smooth body M and a certain digital approximation of it, we develop
    algorithms to approximate various intrinsic volumes of M using only measurements
    taken from its digital approximations. The crucial idea behind our novel algorithms
    is to link the recent theory of persistent homology to the theory of intrinsic
    volumes via the Crofton formula from integral geometry and, in particular, via
    Euler characteristic computations. Our main contributions are a multigrid convergent
    digital algorithm to compute the first intrinsic volume of a solid body in R^n
    as well as an appropriate integration pipeline to approximate integral-geometric
    integrals defined over the Grassmannian manifold.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Florian
  full_name: Pausinger, Florian
  id: 2A77D7A2-F248-11E8-B48F-1D18A9856A87
  last_name: Pausinger
  orcid: 0000-0002-8379-3768
citation:
  ama: Pausinger F. On the approximation of intrinsic volumes. 2015.
  apa: Pausinger, F. (2015). <i>On the approximation of intrinsic volumes</i>. Institute
    of Science and Technology Austria.
  chicago: Pausinger, Florian. “On the Approximation of Intrinsic Volumes.” Institute
    of Science and Technology Austria, 2015.
  ieee: F. Pausinger, “On the approximation of intrinsic volumes,” Institute of Science
    and Technology Austria, 2015.
  ista: Pausinger F. 2015. On the approximation of intrinsic volumes. Institute of
    Science and Technology Austria.
  mla: Pausinger, Florian. <i>On the Approximation of Intrinsic Volumes</i>. Institute
    of Science and Technology Austria, 2015.
  short: F. Pausinger, On the Approximation of Intrinsic Volumes, Institute of Science
    and Technology Austria, 2015.
date_created: 2018-12-11T11:51:48Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-09-07T11:41:25Z
day: '01'
degree_awarded: PhD
department:
- _id: HeEd
language:
- iso: eng
month: '06'
oa_version: None
page: '144'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '5808'
related_material:
  record:
  - id: '1662'
    relation: part_of_dissertation
    status: public
  - id: '1792'
    relation: part_of_dissertation
    status: public
  - id: '2255'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
title: On the approximation of intrinsic volumes
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2015'
...
---
_id: '1424'
abstract:
- lang: eng
  text: We consider the problem of statistical computations with persistence diagrams,
    a summary representation of topological features in data. These diagrams encode
    persistent homology, a widely used invariant in topological data analysis. While
    several avenues towards a statistical treatment of the diagrams have been explored
    recently, we follow an alternative route that is motivated by the success of methods
    based on the embedding of probability measures into reproducing kernel Hilbert
    spaces. In fact, a positive definite kernel on persistence diagrams has recently
    been proposed, connecting persistent homology to popular kernel-based learning
    techniques such as support vector machines. However, important properties of that
    kernel enabling a principled use in the context of probability measure embeddings
    remain to be explored. Our contribution is to close this gap by proving universality
    of a variant of the original kernel, and to demonstrate its effective use in twosample
    hypothesis testing on synthetic as well as real-world data.
acknowledgement: This work was partially supported by the Austrian Science FUnd, project
  no. KLI 00012.
alternative_title:
- Advances in Neural Information Processing Systems
author:
- first_name: Roland
  full_name: Kwitt, Roland
  last_name: Kwitt
- first_name: Stefan
  full_name: Huber, Stefan
  id: 4700A070-F248-11E8-B48F-1D18A9856A87
  last_name: Huber
  orcid: 0000-0002-8871-5814
- first_name: Marc
  full_name: Niethammer, Marc
  last_name: Niethammer
- first_name: Weili
  full_name: Lin, Weili
  last_name: Lin
- first_name: Ulrich
  full_name: Bauer, Ulrich
  id: 2ADD483A-F248-11E8-B48F-1D18A9856A87
  last_name: Bauer
  orcid: 0000-0002-9683-0724
citation:
  ama: 'Kwitt R, Huber S, Niethammer M, Lin W, Bauer U. Statistical topological data
    analysis-A kernel perspective. In: Vol 28. Neural Information Processing Systems;
    2015:3070-3078.'
  apa: 'Kwitt, R., Huber, S., Niethammer, M., Lin, W., &#38; Bauer, U. (2015). Statistical
    topological data analysis-A kernel perspective (Vol. 28, pp. 3070–3078). Presented
    at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information
    Processing Systems.'
  chicago: Kwitt, Roland, Stefan Huber, Marc Niethammer, Weili Lin, and Ulrich Bauer.
    “Statistical Topological Data Analysis-A Kernel Perspective,” 28:3070–78. Neural
    Information Processing Systems, 2015.
  ieee: 'R. Kwitt, S. Huber, M. Niethammer, W. Lin, and U. Bauer, “Statistical topological
    data analysis-A kernel perspective,” presented at the NIPS: Neural Information
    Processing Systems, Montreal, Canada, 2015, vol. 28, pp. 3070–3078.'
  ista: 'Kwitt R, Huber S, Niethammer M, Lin W, Bauer U. 2015. Statistical topological
    data analysis-A kernel perspective. NIPS: Neural Information Processing Systems,
    Advances in Neural Information Processing Systems, vol. 28, 3070–3078.'
  mla: Kwitt, Roland, et al. <i>Statistical Topological Data Analysis-A Kernel Perspective</i>.
    Vol. 28, Neural Information Processing Systems, 2015, pp. 3070–78.
  short: R. Kwitt, S. Huber, M. Niethammer, W. Lin, U. Bauer, in:, Neural Information
    Processing Systems, 2015, pp. 3070–3078.
conference:
  end_date: 2015-12-12
  location: Montreal, Canada
  name: 'NIPS: Neural Information Processing Systems'
  start_date: 2015-12-07
date_created: 2018-12-11T11:51:56Z
date_published: 2015-12-01T00:00:00Z
date_updated: 2021-01-12T06:50:38Z
day: '01'
department:
- _id: HeEd
intvolume: '        28'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://papers.nips.cc/paper/5887-statistical-topological-data-analysis-a-kernel-perspective
month: '12'
oa: 1
oa_version: Submitted Version
page: 3070 - 3078
publication_status: published
publisher: Neural Information Processing Systems
publist_id: '5782'
quality_controlled: '1'
status: public
title: Statistical topological data analysis-A kernel perspective
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 28
year: '2015'
...
---
_id: '9737'
article_processing_charge: No
author:
- first_name: Olga
  full_name: Symonova, Olga
  id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
  last_name: Symonova
- first_name: Christopher
  full_name: Topp, Christopher
  last_name: Topp
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
citation:
  ama: Symonova O, Topp C, Edelsbrunner H. Root traits computed by DynamicRoots for
    the maize root shown in fig 2. 2015. doi:<a href="https://doi.org/10.1371/journal.pone.0127657.s001">10.1371/journal.pone.0127657.s001</a>
  apa: Symonova, O., Topp, C., &#38; Edelsbrunner, H. (2015). Root traits computed
    by DynamicRoots for the maize root shown in fig 2. Public Library of Science.
    <a href="https://doi.org/10.1371/journal.pone.0127657.s001">https://doi.org/10.1371/journal.pone.0127657.s001</a>
  chicago: Symonova, Olga, Christopher Topp, and Herbert Edelsbrunner. “Root Traits
    Computed by DynamicRoots for the Maize Root Shown in Fig 2.” Public Library of
    Science, 2015. <a href="https://doi.org/10.1371/journal.pone.0127657.s001">https://doi.org/10.1371/journal.pone.0127657.s001</a>.
  ieee: O. Symonova, C. Topp, and H. Edelsbrunner, “Root traits computed by DynamicRoots
    for the maize root shown in fig 2.” Public Library of Science, 2015.
  ista: Symonova O, Topp C, Edelsbrunner H. 2015. Root traits computed by DynamicRoots
    for the maize root shown in fig 2, Public Library of Science, <a href="https://doi.org/10.1371/journal.pone.0127657.s001">10.1371/journal.pone.0127657.s001</a>.
  mla: Symonova, Olga, et al. <i>Root Traits Computed by DynamicRoots for the Maize
    Root Shown in Fig 2</i>. Public Library of Science, 2015, doi:<a href="https://doi.org/10.1371/journal.pone.0127657.s001">10.1371/journal.pone.0127657.s001</a>.
  short: O. Symonova, C. Topp, H. Edelsbrunner, (2015).
date_created: 2021-07-28T06:20:13Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-02-23T10:14:42Z
day: '01'
department:
- _id: MaJö
- _id: HeEd
doi: 10.1371/journal.pone.0127657.s001
month: '06'
oa_version: Published Version
publisher: Public Library of Science
related_material:
  record:
  - id: '1793'
    relation: used_in_publication
    status: public
status: public
title: Root traits computed by DynamicRoots for the maize root shown in fig 2
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1816'
abstract:
- lang: eng
  text: Watermarking techniques for vector graphics dislocate vertices in order to
    embed imperceptible, yet detectable, statistical features into the input data.
    The embedding process may result in a change of the topology of the input data,
    e.g., by introducing self-intersections, which is undesirable or even disastrous
    for many applications. In this paper we present a watermarking framework for two-dimensional
    vector graphics that employs conventional watermarking techniques but still provides
    the guarantee that the topology of the input data is preserved. The geometric
    part of this framework computes so-called maximum perturbation regions (MPR) of
    vertices. We propose two efficient algorithms to compute MPRs based on Voronoi
    diagrams and constrained triangulations. Furthermore, we present two algorithms
    to conditionally correct the watermarked data in order to increase the watermark
    embedding capacity and still guarantee topological correctness. While we focus
    on the watermarking of input formed by straight-line segments, one of our approaches
    can also be extended to circular arcs. We conclude the paper by demonstrating
    and analyzing the applicability of our framework in conjunction with two well-known
    watermarking techniques.
acknowledgement: 'Work by Martin Held and Stefan Huber was supported by Austrian Science
  Fund (FWF): L367-N15 and P25816-N15.'
author:
- first_name: Stefan
  full_name: Huber, Stefan
  id: 4700A070-F248-11E8-B48F-1D18A9856A87
  last_name: Huber
  orcid: 0000-0002-8871-5814
- first_name: Martin
  full_name: Held, Martin
  last_name: Held
- first_name: Peter
  full_name: Meerwald, Peter
  last_name: Meerwald
- first_name: Roland
  full_name: Kwitt, Roland
  last_name: Kwitt
citation:
  ama: Huber S, Held M, Meerwald P, Kwitt R. Topology-preserving watermarking of vector
    graphics. <i>International Journal of Computational Geometry and Applications</i>.
    2014;24(1):61-86. doi:<a href="https://doi.org/10.1142/S0218195914500034">10.1142/S0218195914500034</a>
  apa: Huber, S., Held, M., Meerwald, P., &#38; Kwitt, R. (2014). Topology-preserving
    watermarking of vector graphics. <i>International Journal of Computational Geometry
    and Applications</i>. World Scientific Publishing. <a href="https://doi.org/10.1142/S0218195914500034">https://doi.org/10.1142/S0218195914500034</a>
  chicago: Huber, Stefan, Martin Held, Peter Meerwald, and Roland Kwitt. “Topology-Preserving
    Watermarking of Vector Graphics.” <i>International Journal of Computational Geometry
    and Applications</i>. World Scientific Publishing, 2014. <a href="https://doi.org/10.1142/S0218195914500034">https://doi.org/10.1142/S0218195914500034</a>.
  ieee: S. Huber, M. Held, P. Meerwald, and R. Kwitt, “Topology-preserving watermarking
    of vector graphics,” <i>International Journal of Computational Geometry and Applications</i>,
    vol. 24, no. 1. World Scientific Publishing, pp. 61–86, 2014.
  ista: Huber S, Held M, Meerwald P, Kwitt R. 2014. Topology-preserving watermarking
    of vector graphics. International Journal of Computational Geometry and Applications.
    24(1), 61–86.
  mla: Huber, Stefan, et al. “Topology-Preserving Watermarking of Vector Graphics.”
    <i>International Journal of Computational Geometry and Applications</i>, vol.
    24, no. 1, World Scientific Publishing, 2014, pp. 61–86, doi:<a href="https://doi.org/10.1142/S0218195914500034">10.1142/S0218195914500034</a>.
  short: S. Huber, M. Held, P. Meerwald, R. Kwitt, International Journal of Computational
    Geometry and Applications 24 (2014) 61–86.
date_created: 2018-12-11T11:54:10Z
date_published: 2014-03-16T00:00:00Z
date_updated: 2021-01-12T06:53:23Z
day: '16'
ddc:
- '000'
department:
- _id: HeEd
doi: 10.1142/S0218195914500034
file:
- access_level: open_access
  checksum: be45c133ab4d43351260e21beaa8f4b1
  content_type: application/pdf
  creator: system
  date_created: 2018-12-12T10:08:43Z
  date_updated: 2020-07-14T12:45:17Z
  file_id: '4704'
  file_name: IST-2016-443-v1+1_S0218195914500034.pdf
  file_size: 991734
  relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: '        24'
issue: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 61 - 86
publication: International Journal of Computational Geometry and Applications
publication_status: published
publisher: World Scientific Publishing
publist_id: '5290'
pubrep_id: '443'
quality_controlled: '1'
scopus_import: 1
status: public
title: Topology-preserving watermarking of vector graphics
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2014'
...
---
_id: '1842'
abstract:
- lang: eng
  text: We prove polynomial upper bounds of geometric Ramsey numbers of pathwidth-2
    outerplanar triangulations in both convex and general cases. We also prove that
    the geometric Ramsey numbers of the ladder graph on 2n vertices are bounded by
    O(n3) and O(n10), in the convex and general case, respectively. We then apply
    similar methods to prove an (Formula presented.) upper bound on the Ramsey number
    of a path with n ordered vertices.
acknowledgement: Marek Krčál was supported by the ERC Advanced Grant No. 267165.
author:
- first_name: Josef
  full_name: Cibulka, Josef
  last_name: Cibulka
- first_name: Pu
  full_name: Gao, Pu
  last_name: Gao
- first_name: Marek
  full_name: Krcál, Marek
  id: 33E21118-F248-11E8-B48F-1D18A9856A87
  last_name: Krcál
- first_name: Tomáš
  full_name: Valla, Tomáš
  last_name: Valla
- first_name: Pavel
  full_name: Valtr, Pavel
  last_name: Valtr
citation:
  ama: Cibulka J, Gao P, Krcál M, Valla T, Valtr P. On the geometric ramsey number
    of outerplanar graphs. <i>Discrete &#38; Computational Geometry</i>. 2014;53(1):64-79.
    doi:<a href="https://doi.org/10.1007/s00454-014-9646-x">10.1007/s00454-014-9646-x</a>
  apa: Cibulka, J., Gao, P., Krcál, M., Valla, T., &#38; Valtr, P. (2014). On the
    geometric ramsey number of outerplanar graphs. <i>Discrete &#38; Computational
    Geometry</i>. Springer. <a href="https://doi.org/10.1007/s00454-014-9646-x">https://doi.org/10.1007/s00454-014-9646-x</a>
  chicago: Cibulka, Josef, Pu Gao, Marek Krcál, Tomáš Valla, and Pavel Valtr. “On
    the Geometric Ramsey Number of Outerplanar Graphs.” <i>Discrete &#38; Computational
    Geometry</i>. Springer, 2014. <a href="https://doi.org/10.1007/s00454-014-9646-x">https://doi.org/10.1007/s00454-014-9646-x</a>.
  ieee: J. Cibulka, P. Gao, M. Krcál, T. Valla, and P. Valtr, “On the geometric ramsey
    number of outerplanar graphs,” <i>Discrete &#38; Computational Geometry</i>, vol.
    53, no. 1. Springer, pp. 64–79, 2014.
  ista: Cibulka J, Gao P, Krcál M, Valla T, Valtr P. 2014. On the geometric ramsey
    number of outerplanar graphs. Discrete &#38; Computational Geometry. 53(1), 64–79.
  mla: Cibulka, Josef, et al. “On the Geometric Ramsey Number of Outerplanar Graphs.”
    <i>Discrete &#38; Computational Geometry</i>, vol. 53, no. 1, Springer, 2014,
    pp. 64–79, doi:<a href="https://doi.org/10.1007/s00454-014-9646-x">10.1007/s00454-014-9646-x</a>.
  short: J. Cibulka, P. Gao, M. Krcál, T. Valla, P. Valtr, Discrete &#38; Computational
    Geometry 53 (2014) 64–79.
date_created: 2018-12-11T11:54:18Z
date_published: 2014-11-14T00:00:00Z
date_updated: 2021-01-12T06:53:33Z
day: '14'
department:
- _id: UlWa
- _id: HeEd
doi: 10.1007/s00454-014-9646-x
intvolume: '        53'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1310.7004
month: '11'
oa: 1
oa_version: Submitted Version
page: 64 - 79
publication: Discrete & Computational Geometry
publication_status: published
publisher: Springer
publist_id: '5260'
scopus_import: 1
status: public
title: On the geometric ramsey number of outerplanar graphs
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 53
year: '2014'
...
---
_id: '1876'
abstract:
- lang: eng
  text: We study densities of functionals over uniformly bounded triangulations of
    a Delaunay set of vertices, and prove that the minimum is attained for the Delaunay
    triangulation if this is the case for finite sets.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Nikolai
  full_name: Dolbilin, Nikolai
  last_name: Dolbilin
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Alexey
  full_name: Glazyrin, Alexey
  last_name: Glazyrin
- first_name: Oleg
  full_name: Musin, Oleg
  last_name: Musin
citation:
  ama: Dolbilin N, Edelsbrunner H, Glazyrin A, Musin O. Functionals on triangulations
    of delaunay sets. <i>Moscow Mathematical Journal</i>. 2014;14(3):491-504. doi:<a
    href="https://doi.org/10.17323/1609-4514-2014-14-3-491-504">10.17323/1609-4514-2014-14-3-491-504</a>
  apa: Dolbilin, N., Edelsbrunner, H., Glazyrin, A., &#38; Musin, O. (2014). Functionals
    on triangulations of delaunay sets. <i>Moscow Mathematical Journal</i>. Independent
    University of Moscow. <a href="https://doi.org/10.17323/1609-4514-2014-14-3-491-504">https://doi.org/10.17323/1609-4514-2014-14-3-491-504</a>
  chicago: Dolbilin, Nikolai, Herbert Edelsbrunner, Alexey Glazyrin, and Oleg Musin.
    “Functionals on Triangulations of Delaunay Sets.” <i>Moscow Mathematical Journal</i>.
    Independent University of Moscow, 2014. <a href="https://doi.org/10.17323/1609-4514-2014-14-3-491-504">https://doi.org/10.17323/1609-4514-2014-14-3-491-504</a>.
  ieee: N. Dolbilin, H. Edelsbrunner, A. Glazyrin, and O. Musin, “Functionals on triangulations
    of delaunay sets,” <i>Moscow Mathematical Journal</i>, vol. 14, no. 3. Independent
    University of Moscow, pp. 491–504, 2014.
  ista: Dolbilin N, Edelsbrunner H, Glazyrin A, Musin O. 2014. Functionals on triangulations
    of delaunay sets. Moscow Mathematical Journal. 14(3), 491–504.
  mla: Dolbilin, Nikolai, et al. “Functionals on Triangulations of Delaunay Sets.”
    <i>Moscow Mathematical Journal</i>, vol. 14, no. 3, Independent University of
    Moscow, 2014, pp. 491–504, doi:<a href="https://doi.org/10.17323/1609-4514-2014-14-3-491-504">10.17323/1609-4514-2014-14-3-491-504</a>.
  short: N. Dolbilin, H. Edelsbrunner, A. Glazyrin, O. Musin, Moscow Mathematical
    Journal 14 (2014) 491–504.
date_created: 2018-12-11T11:54:29Z
date_published: 2014-07-01T00:00:00Z
date_updated: 2022-03-03T11:47:09Z
day: '01'
department:
- _id: HeEd
doi: 10.17323/1609-4514-2014-14-3-491-504
external_id:
  arxiv:
  - '1211.7053'
intvolume: '        14'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1211.7053
month: '07'
oa: 1
oa_version: Submitted Version
page: 491 - 504
publication: Moscow Mathematical Journal
publication_identifier:
  issn:
  - '16093321'
publication_status: published
publisher: Independent University of Moscow
publist_id: '5220'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Functionals on triangulations of delaunay sets
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2014'
...
---
_id: '1929'
abstract:
- lang: eng
  text: We propose an algorithm for the generalization of cartographic objects that
    can be used to represent maps on different scales.
acknowledgement: We would like to offer our special thanks to students of the Department
  of Mathematics of Demidov Yaroslavl State University A. A. Gorokhov and V. N. Knyazev
  for participation in developing the program and assistance in preparation of test
  data. This work was supported by grant 11.G34.31.0053 from the government of the
  Russian Federation.
article_processing_charge: No
article_type: original
author:
- first_name: V V
  full_name: Alexeev, V V
  last_name: Alexeev
- first_name: V G
  full_name: Bogaevskaya, V G
  last_name: Bogaevskaya
- first_name: M M
  full_name: Preobrazhenskaya, M M
  last_name: Preobrazhenskaya
- first_name: A Y
  full_name: Ukhalov, A Y
  last_name: Ukhalov
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
- first_name: Olga
  full_name: Yakimova, Olga
  last_name: Yakimova
citation:
  ama: Alexeev VV, Bogaevskaya VG, Preobrazhenskaya MM, Ukhalov AY, Edelsbrunner H,
    Yakimova O. An algorithm for cartographic generalization that preserves global
    topology. <i>Journal of Mathematical Sciences</i>. 2014;203(6):754-760. doi:<a
    href="https://doi.org/10.1007/s10958-014-2165-8">10.1007/s10958-014-2165-8</a>
  apa: Alexeev, V. V., Bogaevskaya, V. G., Preobrazhenskaya, M. M., Ukhalov, A. Y.,
    Edelsbrunner, H., &#38; Yakimova, O. (2014). An algorithm for cartographic generalization
    that preserves global topology. <i>Journal of Mathematical Sciences</i>. Springer.
    <a href="https://doi.org/10.1007/s10958-014-2165-8">https://doi.org/10.1007/s10958-014-2165-8</a>
  chicago: Alexeev, V V, V G Bogaevskaya, M M Preobrazhenskaya, A Y Ukhalov, Herbert
    Edelsbrunner, and Olga Yakimova. “An Algorithm for Cartographic Generalization
    That Preserves Global Topology.” <i>Journal of Mathematical Sciences</i>. Springer,
    2014. <a href="https://doi.org/10.1007/s10958-014-2165-8">https://doi.org/10.1007/s10958-014-2165-8</a>.
  ieee: V. V. Alexeev, V. G. Bogaevskaya, M. M. Preobrazhenskaya, A. Y. Ukhalov, H.
    Edelsbrunner, and O. Yakimova, “An algorithm for cartographic generalization that
    preserves global topology,” <i>Journal of Mathematical Sciences</i>, vol. 203,
    no. 6. Springer, pp. 754–760, 2014.
  ista: Alexeev VV, Bogaevskaya VG, Preobrazhenskaya MM, Ukhalov AY, Edelsbrunner
    H, Yakimova O. 2014. An algorithm for cartographic generalization that preserves
    global topology. Journal of Mathematical Sciences. 203(6), 754–760.
  mla: Alexeev, V. V., et al. “An Algorithm for Cartographic Generalization That Preserves
    Global Topology.” <i>Journal of Mathematical Sciences</i>, vol. 203, no. 6, Springer,
    2014, pp. 754–60, doi:<a href="https://doi.org/10.1007/s10958-014-2165-8">10.1007/s10958-014-2165-8</a>.
  short: V.V. Alexeev, V.G. Bogaevskaya, M.M. Preobrazhenskaya, A.Y. Ukhalov, H. Edelsbrunner,
    O. Yakimova, Journal of Mathematical Sciences 203 (2014) 754–760.
date_created: 2018-12-11T11:54:46Z
date_published: 2014-11-16T00:00:00Z
date_updated: 2022-05-24T10:39:06Z
day: '16'
department:
- _id: HeEd
doi: 10.1007/s10958-014-2165-8
intvolume: '       203'
issue: '6'
language:
- iso: eng
month: '11'
oa_version: None
page: 754 - 760
publication: Journal of Mathematical Sciences
publication_identifier:
  eissn:
  - 1573-8795
  issn:
  - 1072-3374
publication_status: published
publisher: Springer
publist_id: '5165'
quality_controlled: '1'
scopus_import: '1'
status: public
title: An algorithm for cartographic generalization that preserves global topology
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 203
year: '2014'
...
---
_id: '1930'
abstract:
- lang: eng
  text: (Figure Presented) Data acquisition, numerical inaccuracies, and sampling
    often introduce noise in measurements and simulations. Removing this noise is
    often necessary for efficient analysis and visualization of this data, yet many
    denoising techniques change the minima and maxima of a scalar field. For example,
    the extrema can appear or disappear, spatially move, and change their value. This
    can lead to wrong interpretations of the data, e.g., when the maximum temperature
    over an area is falsely reported being a few degrees cooler because the denoising
    method is unaware of these features. Recently, a topological denoising technique
    based on a global energy optimization was proposed, which allows the topology-controlled
    denoising of 2D scalar fields. While this method preserves the minima and maxima,
    it is constrained by the size of the data. We extend this work to large 2D data
    and medium-sized 3D data by introducing a novel domain decomposition approach.
    It allows processing small patches of the domain independently while still avoiding
    the introduction of new critical points. Furthermore, we propose an iterative
    refinement of the solution, which decreases the optimization energy compared to
    the previous approach and therefore gives smoother results that are closer to
    the input. We illustrate our technique on synthetic and real-world 2D and 3D data
    sets that highlight potential applications.
acknowledgement: RTRA Digiteoproject; ERC grant; SNF award; Intel Doctoral Fellowship;
  MPC-VCC
author:
- first_name: David
  full_name: Günther, David
  last_name: Günther
- first_name: Alec
  full_name: Jacobson, Alec
  last_name: Jacobson
- first_name: Jan
  full_name: Reininghaus, Jan
  id: 4505473A-F248-11E8-B48F-1D18A9856A87
  last_name: Reininghaus
- first_name: Hans
  full_name: Seidel, Hans
  last_name: Seidel
- first_name: Olga
  full_name: Sorkine Hornung, Olga
  last_name: Sorkine Hornung
- first_name: Tino
  full_name: Weinkauf, Tino
  last_name: Weinkauf
citation:
  ama: Günther D, Jacobson A, Reininghaus J, Seidel H, Sorkine Hornung O, Weinkauf
    T. Fast and memory-efficient topological denoising of 2D and 3D scalar fields.
    <i>IEEE Transactions on Visualization and Computer Graphics</i>. 2014;20(12):2585-2594.
    doi:<a href="https://doi.org/10.1109/TVCG.2014.2346432">10.1109/TVCG.2014.2346432</a>
  apa: Günther, D., Jacobson, A., Reininghaus, J., Seidel, H., Sorkine Hornung, O.,
    &#38; Weinkauf, T. (2014). Fast and memory-efficient topological denoising of
    2D and 3D scalar fields. <i>IEEE Transactions on Visualization and Computer Graphics</i>.
    IEEE. <a href="https://doi.org/10.1109/TVCG.2014.2346432">https://doi.org/10.1109/TVCG.2014.2346432</a>
  chicago: Günther, David, Alec Jacobson, Jan Reininghaus, Hans Seidel, Olga Sorkine
    Hornung, and Tino Weinkauf. “Fast and Memory-Efficient Topological Denoising of
    2D and 3D Scalar Fields.” <i>IEEE Transactions on Visualization and Computer Graphics</i>.
    IEEE, 2014. <a href="https://doi.org/10.1109/TVCG.2014.2346432">https://doi.org/10.1109/TVCG.2014.2346432</a>.
  ieee: D. Günther, A. Jacobson, J. Reininghaus, H. Seidel, O. Sorkine Hornung, and
    T. Weinkauf, “Fast and memory-efficient topological denoising of 2D and 3D scalar
    fields,” <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol.
    20, no. 12. IEEE, pp. 2585–2594, 2014.
  ista: Günther D, Jacobson A, Reininghaus J, Seidel H, Sorkine Hornung O, Weinkauf
    T. 2014. Fast and memory-efficient topological denoising of 2D and 3D scalar fields.
    IEEE Transactions on Visualization and Computer Graphics. 20(12), 2585–2594.
  mla: Günther, David, et al. “Fast and Memory-Efficient Topological Denoising of
    2D and 3D Scalar Fields.” <i>IEEE Transactions on Visualization and Computer Graphics</i>,
    vol. 20, no. 12, IEEE, 2014, pp. 2585–94, doi:<a href="https://doi.org/10.1109/TVCG.2014.2346432">10.1109/TVCG.2014.2346432</a>.
  short: D. Günther, A. Jacobson, J. Reininghaus, H. Seidel, O. Sorkine Hornung, T.
    Weinkauf, IEEE Transactions on Visualization and Computer Graphics 20 (2014) 2585–2594.
date_created: 2018-12-11T11:54:46Z
date_published: 2014-12-31T00:00:00Z
date_updated: 2021-01-12T06:54:09Z
day: '31'
department:
- _id: HeEd
doi: 10.1109/TVCG.2014.2346432
intvolume: '        20'
issue: '12'
language:
- iso: eng
month: '12'
oa_version: None
page: 2585 - 2594
publication: IEEE Transactions on Visualization and Computer Graphics
publication_status: published
publisher: IEEE
publist_id: '5164'
quality_controlled: '1'
scopus_import: 1
status: public
title: Fast and memory-efficient topological denoising of 2D and 3D scalar fields
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2014'
...
---
_id: '2012'
abstract:
- lang: eng
  text: The classical sphere packing problem asks for the best (infinite) arrangement
    of non-overlapping unit balls which cover as much space as possible. We define
    a generalized version of the problem, where we allow each ball a limited amount
    of overlap with other balls. We study two natural choices of overlap measures
    and obtain the optimal lattice packings in a parameterized family of lattices
    which contains the FCC, BCC, and integer lattice.
acknowledgement: We thank Herbert Edelsbrunner for his valuable discussions and ideas
  on the topic of this paper.  The second author has been supported by the Max Planck
  Center for Visual Computing and Communication
article_number: '1401.0468'
article_processing_charge: No
arxiv: 1
author:
- first_name: Mabel
  full_name: Iglesias Ham, Mabel
  id: 41B58C0C-F248-11E8-B48F-1D18A9856A87
  last_name: Iglesias Ham
- first_name: Michael
  full_name: Kerber, Michael
  last_name: Kerber
  orcid: 0000-0002-8030-9299
- first_name: Caroline
  full_name: Uhler, Caroline
  id: 49ADD78E-F248-11E8-B48F-1D18A9856A87
  last_name: Uhler
  orcid: 0000-0002-7008-0216
citation:
  ama: Iglesias Ham M, Kerber M, Uhler C. Sphere packing with limited overlap. <i>arXiv</i>.
    doi:<a href="https://doi.org/10.48550/arXiv.1401.0468">10.48550/arXiv.1401.0468</a>
  apa: Iglesias Ham, M., Kerber, M., &#38; Uhler, C. (n.d.). Sphere packing with limited
    overlap. <i>arXiv</i>. <a href="https://doi.org/10.48550/arXiv.1401.0468">https://doi.org/10.48550/arXiv.1401.0468</a>
  chicago: Iglesias Ham, Mabel, Michael Kerber, and Caroline Uhler. “Sphere Packing
    with Limited Overlap.” <i>ArXiv</i>, n.d. <a href="https://doi.org/10.48550/arXiv.1401.0468">https://doi.org/10.48550/arXiv.1401.0468</a>.
  ieee: M. Iglesias Ham, M. Kerber, and C. Uhler, “Sphere packing with limited overlap,”
    <i>arXiv</i>. .
  ista: Iglesias Ham M, Kerber M, Uhler C. Sphere packing with limited overlap. arXiv,
    1401.0468.
  mla: Iglesias Ham, Mabel, et al. “Sphere Packing with Limited Overlap.” <i>ArXiv</i>,
    1401.0468, doi:<a href="https://doi.org/10.48550/arXiv.1401.0468">10.48550/arXiv.1401.0468</a>.
  short: M. Iglesias Ham, M. Kerber, C. Uhler, ArXiv (n.d.).
date_created: 2018-12-11T11:55:12Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2023-10-18T08:06:45Z
day: '01'
department:
- _id: HeEd
- _id: CaUh
doi: 10.48550/arXiv.1401.0468
external_id:
  arxiv:
  - '1401.0468'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://cccg.ca/proceedings/2014/papers/paper23.pdf
month: '01'
oa: 1
oa_version: Submitted Version
publication: arXiv
publication_status: submitted
publist_id: '5064'
status: public
title: Sphere packing with limited overlap
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '2043'
abstract:
- lang: eng
  text: Persistent homology is a popular and powerful tool for capturing topological
    features of data. Advances in algorithms for computing persistent homology have
    reduced the computation time drastically – as long as the algorithm does not exhaust
    the available memory. Following up on a recently presented parallel method for
    persistence computation on shared memory systems [1], we demonstrate that a simple
    adaption of the standard reduction algorithm leads to a variant for distributed
    systems. Our algorithmic design ensures that the data is distributed over the
    nodes without redundancy; this permits the computation of much larger instances
    than on a single machine. Moreover, we observe that the parallelism at least compensates
    for the overhead caused by communication between nodes, and often even speeds
    up the computation compared to sequential and even parallel shared memory algorithms.
    In our experiments, we were able to compute the persistent homology of filtrations
    with more than a billion (109) elements within seconds on a cluster with 32 nodes
    using less than 6GB of memory per node.
author:
- first_name: Ulrich
  full_name: Bauer, Ulrich
  id: 2ADD483A-F248-11E8-B48F-1D18A9856A87
  last_name: Bauer
  orcid: 0000-0002-9683-0724
- first_name: Michael
  full_name: Kerber, Michael
  last_name: Kerber
  orcid: 0000-0002-8030-9299
- first_name: Jan
  full_name: Reininghaus, Jan
  id: 4505473A-F248-11E8-B48F-1D18A9856A87
  last_name: Reininghaus
citation:
  ama: 'Bauer U, Kerber M, Reininghaus J. Distributed computation of persistent homology.
    In:  McGeoch C, Meyer U, eds. <i>Proceedings of the Workshop on Algorithm Engineering
    and Experiments</i>. Society of Industrial and Applied Mathematics; 2014:31-38.
    doi:<a href="https://doi.org/10.1137/1.9781611973198.4">10.1137/1.9781611973198.4</a>'
  apa: 'Bauer, U., Kerber, M., &#38; Reininghaus, J. (2014). Distributed computation
    of persistent homology. In C.  McGeoch &#38; U. Meyer (Eds.), <i>Proceedings of
    the Workshop on Algorithm Engineering and Experiments</i> (pp. 31–38). Portland,
    USA: Society of Industrial and Applied Mathematics. <a href="https://doi.org/10.1137/1.9781611973198.4">https://doi.org/10.1137/1.9781611973198.4</a>'
  chicago: Bauer, Ulrich, Michael Kerber, and Jan Reininghaus. “Distributed Computation
    of Persistent Homology.” In <i>Proceedings of the Workshop on Algorithm Engineering
    and Experiments</i>, edited by Catherine  McGeoch and Ulrich Meyer, 31–38. Society
    of Industrial and Applied Mathematics, 2014. <a href="https://doi.org/10.1137/1.9781611973198.4">https://doi.org/10.1137/1.9781611973198.4</a>.
  ieee: U. Bauer, M. Kerber, and J. Reininghaus, “Distributed computation of persistent
    homology,” in <i>Proceedings of the Workshop on Algorithm Engineering and Experiments</i>,
    Portland, USA, 2014, pp. 31–38.
  ista: 'Bauer U, Kerber M, Reininghaus J. 2014. Distributed computation of persistent
    homology. Proceedings of the Workshop on Algorithm Engineering and Experiments.
    ALENEX: Algorithm Engineering and Experiments, 31–38.'
  mla: Bauer, Ulrich, et al. “Distributed Computation of Persistent Homology.” <i>Proceedings
    of the Workshop on Algorithm Engineering and Experiments</i>, edited by Catherine  McGeoch
    and Ulrich Meyer, Society of Industrial and Applied Mathematics, 2014, pp. 31–38,
    doi:<a href="https://doi.org/10.1137/1.9781611973198.4">10.1137/1.9781611973198.4</a>.
  short: U. Bauer, M. Kerber, J. Reininghaus, in:, C.  McGeoch, U. Meyer (Eds.), Proceedings
    of the Workshop on Algorithm Engineering and Experiments, Society of Industrial
    and Applied Mathematics, 2014, pp. 31–38.
conference:
  end_date: 2014-01-05
  location: Portland, USA
  name: 'ALENEX: Algorithm Engineering and Experiments'
  start_date: 2014-01-05
date_created: 2018-12-11T11:55:23Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2021-01-12T06:54:56Z
day: '01'
department:
- _id: HeEd
doi: 10.1137/1.9781611973198.4
ec_funded: 1
editor:
- first_name: Catherine
  full_name: ' McGeoch, Catherine'
  last_name: ' McGeoch'
- first_name: Ulrich
  full_name: Meyer, Ulrich
  last_name: Meyer
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1310.0710
month: '01'
oa: 1
oa_version: Submitted Version
page: 31 - 38
project:
- _id: 255D761E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '318493'
  name: Topological Complex Systems
publication: Proceedings of the Workshop on Algorithm Engineering and Experiments
publication_status: published
publisher: Society of Industrial and Applied Mathematics
publist_id: '5008'
quality_controlled: '1'
scopus_import: 1
status: public
title: Distributed computation of persistent homology
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '2044'
abstract:
- lang: eng
  text: We present a parallel algorithm for computing the persistent homology of a
    filtered chain complex. Our approach differs from the commonly used reduction
    algorithm by first computing persistence pairs within local chunks, then simplifying
    the unpaired columns, and finally applying standard reduction on the simplified
    matrix. The approach generalizes a technique by Günther et al., which uses discrete
    Morse Theory to compute persistence; we derive the same worst-case complexity
    bound in a more general context. The algorithm employs several practical optimization
    techniques, which are of independent interest. Our sequential implementation of
    the algorithm is competitive with state-of-the-art methods, and we further improve
    the performance through parallel computation.
author:
- first_name: Ulrich
  full_name: Bauer, Ulrich
  id: 2ADD483A-F248-11E8-B48F-1D18A9856A87
  last_name: Bauer
  orcid: 0000-0002-9683-0724
- first_name: Michael
  full_name: Kerber, Michael
  last_name: Kerber
  orcid: 0000-0002-8030-9299
- first_name: Jan
  full_name: Reininghaus, Jan
  id: 4505473A-F248-11E8-B48F-1D18A9856A87
  last_name: Reininghaus
citation:
  ama: 'Bauer U, Kerber M, Reininghaus J. Clear and Compress: Computing Persistent
    Homology in Chunks. In: Bremer P-T, Hotz I, Pascucci V, Peikert R, eds. <i>Topological
    Methods in Data Analysis and Visualization III</i>. Mathematics and Visualization.
    Springer; 2014:103-117. doi:<a href="https://doi.org/10.1007/978-3-319-04099-8_7">10.1007/978-3-319-04099-8_7</a>'
  apa: 'Bauer, U., Kerber, M., &#38; Reininghaus, J. (2014). Clear and Compress: Computing
    Persistent Homology in Chunks. In P.-T. Bremer, I. Hotz, V. Pascucci, &#38; R.
    Peikert (Eds.), <i>Topological Methods in Data Analysis and Visualization III</i>
    (pp. 103–117). Springer. <a href="https://doi.org/10.1007/978-3-319-04099-8_7">https://doi.org/10.1007/978-3-319-04099-8_7</a>'
  chicago: 'Bauer, Ulrich, Michael Kerber, and Jan Reininghaus. “Clear and Compress:
    Computing Persistent Homology in Chunks.” In <i>Topological Methods in Data Analysis
    and Visualization III</i>, edited by Peer-Timo Bremer, Ingrid Hotz, Valerio Pascucci,
    and Ronald Peikert, 103–17. Mathematics and Visualization. Springer, 2014. <a
    href="https://doi.org/10.1007/978-3-319-04099-8_7">https://doi.org/10.1007/978-3-319-04099-8_7</a>.'
  ieee: 'U. Bauer, M. Kerber, and J. Reininghaus, “Clear and Compress: Computing Persistent
    Homology in Chunks,” in <i>Topological Methods in Data Analysis and Visualization
    III</i>, P.-T. Bremer, I. Hotz, V. Pascucci, and R. Peikert, Eds. Springer, 2014,
    pp. 103–117.'
  ista: 'Bauer U, Kerber M, Reininghaus J. 2014.Clear and Compress: Computing Persistent
    Homology in Chunks. In: Topological Methods in Data Analysis and Visualization
    III. , 103–117.'
  mla: 'Bauer, Ulrich, et al. “Clear and Compress: Computing Persistent Homology in
    Chunks.” <i>Topological Methods in Data Analysis and Visualization III</i>, edited
    by Peer-Timo Bremer et al., Springer, 2014, pp. 103–17, doi:<a href="https://doi.org/10.1007/978-3-319-04099-8_7">10.1007/978-3-319-04099-8_7</a>.'
  short: U. Bauer, M. Kerber, J. Reininghaus, in:, P.-T. Bremer, I. Hotz, V. Pascucci,
    R. Peikert (Eds.), Topological Methods in Data Analysis and Visualization III,
    Springer, 2014, pp. 103–117.
date_created: 2018-12-11T11:55:23Z
date_published: 2014-03-19T00:00:00Z
date_updated: 2021-01-12T06:54:56Z
day: '19'
department:
- _id: HeEd
doi: 10.1007/978-3-319-04099-8_7
ec_funded: 1
editor:
- first_name: Peer-Timo
  full_name: Bremer, Peer-Timo
  last_name: Bremer
- first_name: Ingrid
  full_name: Hotz, Ingrid
  last_name: Hotz
- first_name: Valerio
  full_name: Pascucci, Valerio
  last_name: Pascucci
- first_name: Ronald
  full_name: Peikert, Ronald
  last_name: Peikert
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: http://arxiv.org/abs/1303.0477
month: '03'
oa: 1
oa_version: Submitted Version
page: 103 - 117
project:
- _id: 255D761E-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '318493'
  name: Topological Complex Systems
publication: Topological Methods in Data Analysis and Visualization III
publication_status: published
publisher: Springer
publist_id: '5007'
quality_controlled: '1'
scopus_import: 1
series_title: Mathematics and Visualization
status: public
title: 'Clear and Compress: Computing Persistent Homology in Chunks'
type: book_chapter
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
---
_id: '6853'
abstract:
- lang: eng
  text: This monograph presents a short course in computational geometry and topology.
    In the first part the book covers Voronoi diagrams and Delaunay triangulations,
    then it presents the theory of alpha complexes which play a crucial role in biology.
    The central part of the book is the homology theory and their computation, including
    the theory of persistence which is indispensable for applications, e.g. shape
    reconstruction. The target audience comprises researchers and practitioners in
    mathematics, biology, neuroscience and computer science, but the book may also
    be beneficial to graduate students of these fields.
alternative_title:
- SpringerBriefs in Applied Sciences and Technology
article_processing_charge: No
author:
- first_name: Herbert
  full_name: Edelsbrunner, Herbert
  id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
  last_name: Edelsbrunner
  orcid: 0000-0002-9823-6833
citation:
  ama: 'Edelsbrunner H. <i>A Short Course in Computational Geometry and Topology</i>.
    1st ed. Cham: Springer Nature; 2014. doi:<a href="https://doi.org/10.1007/978-3-319-05957-0">10.1007/978-3-319-05957-0</a>'
  apa: 'Edelsbrunner, H. (2014). <i>A Short Course in Computational Geometry and Topology</i>
    (1st ed.). Cham: Springer Nature. <a href="https://doi.org/10.1007/978-3-319-05957-0">https://doi.org/10.1007/978-3-319-05957-0</a>'
  chicago: 'Edelsbrunner, Herbert. <i>A Short Course in Computational Geometry and
    Topology</i>. 1st ed. SpringerBriefs in Applied Sciences and Technology. Cham:
    Springer Nature, 2014. <a href="https://doi.org/10.1007/978-3-319-05957-0">https://doi.org/10.1007/978-3-319-05957-0</a>.'
  ieee: 'H. Edelsbrunner, <i>A Short Course in Computational Geometry and Topology</i>,
    1st ed. Cham: Springer Nature, 2014.'
  ista: 'Edelsbrunner H. 2014. A Short Course in Computational Geometry and Topology
    1st ed., Cham: Springer Nature, IX, 110p.'
  mla: Edelsbrunner, Herbert. <i>A Short Course in Computational Geometry and Topology</i>.
    1st ed., Springer Nature, 2014, doi:<a href="https://doi.org/10.1007/978-3-319-05957-0">10.1007/978-3-319-05957-0</a>.
  short: H. Edelsbrunner, A Short Course in Computational Geometry and Topology, 1st
    ed., Springer Nature, Cham, 2014.
date_created: 2019-09-06T09:22:33Z
date_published: 2014-01-01T00:00:00Z
date_updated: 2022-03-04T07:47:54Z
day: '01'
department:
- _id: HeEd
doi: 10.1007/978-3-319-05957-0
edition: '1'
language:
- iso: eng
month: '01'
oa_version: None
page: IX, 110
place: Cham
publication_identifier:
  eisbn:
  - 9-783-3190-5957-0
  eissn:
  - 2191-5318
  isbn:
  - 9-783-3190-5956-3
  issn:
  - 2191-530X
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: available as eBook via catalog IST BookList
    relation: other
    url: https://koha.app.ist.ac.at/cgi-bin/koha/opac-detail.pl?biblionumber=356106
  - description: available via catalog IST BookList
    relation: other
    url: https://koha.app.ist.ac.at/cgi-bin/koha/opac-detail.pl?biblionumber=373842
scopus_import: '1'
series_title: SpringerBriefs in Applied Sciences and Technology
status: public
title: A Short Course in Computational Geometry and Topology
type: book
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2014'
...
