@inproceedings{10906, abstract = {HSF(C) is a tool that automates verification of safety and liveness properties for C programs. This paper describes the verification approach taken by HSF(C) and provides instructions on how to install and use the tool.}, author = {Grebenshchikov, Sergey and Gupta, Ashutosh and Lopes, Nuno P. and Popeea, Corneliu and Rybalchenko, Andrey}, booktitle = {Tools and Algorithms for the Construction and Analysis of Systems}, editor = {Flanagan, Cormac and König, Barbara}, isbn = {9783642287558}, issn = {1611-3349}, location = {Tallinn, Estonia}, pages = {549--551}, publisher = {Springer}, title = {{HSF(C): A software verifier based on Horn clauses}}, doi = {10.1007/978-3-642-28756-5_46}, volume = {7214}, year = {2012}, } @inproceedings{11795, abstract = {We study multiple keyword sponsored search auctions with budgets. Each keyword has multiple ad slots with a click-through rate. The bidders have additive valuations, which are linear in the click-through rates, and budgets, which are restricting their overall payments. Additionally, the number of slots per keyword assigned to a bidder is bounded. We show the following results: (1) We give the first mechanism for multiple keywords, where click-through rates differ among slots. Our mechanism is incentive compatible in expectation, individually rational in expectation, and Pareto optimal. (2) We study the combinatorial setting, where each bidder is only interested in a subset of the keywords. We give an incentive compatible, individually rational, Pareto optimal, and deterministic mechanism for identical click-through rates. (3) We give an impossibility result for incentive compatible, individually rational, Pareto optimal, and deterministic mechanisms for bidders with diminishing marginal valuations.}, author = {Colini-Baldeschi, Riccardo and Henzinger, Monika H and Leonardi, Stefano and Starnberger, Martin}, booktitle = {39th International Colloquium on Automata, Languages, and Programming}, isbn = {9783642315848}, issn = {0302-9743}, location = {Warwick, United Kingdom}, pages = {1–12}, publisher = {Springer Nature}, title = {{On multiple keyword sponsored search auctions with budgets}}, doi = {10.1007/978-3-642-31585-5_1}, volume = {7392}, year = {2012}, } @inbook{5745, author = {Gupta, Ashutosh}, booktitle = {Automated Technology for Verification and Analysis}, isbn = {9783642333859}, issn = {1611-3349}, location = {Thiruvananthapuram, Kerala, India}, pages = {107--121}, publisher = {Springer Berlin Heidelberg}, title = {{Improved Single Pass Algorithms for Resolution Proof Reduction}}, doi = {10.1007/978-3-642-33386-6_10}, volume = {7561}, year = {2012}, } @inproceedings{10907, abstract = {This paper presents a method to create a model of an articulated object using the planar motion in an initialization video. The model consists of rigid parts connected by points of articulation. The rigid parts are described by the positions of salient feature-points tracked throughout the video. Following a filtering step that identifies points that belong to different objects, rigid parts are found by a grouping process in a graph pyramid. Valid articulation points are selected by verifying multiple hypotheses for each pair of parts.}, author = {Artner, Nicole M. and Ion, Adrian and Kropatsch, Walter G.}, booktitle = {Graph-Based Representations in Pattern Recognition}, editor = {Jiang, Xiaoyi and Ferrer, Miquel and Torsello, Andrea}, isbn = {9783642208430}, issn = {1611-3349}, location = {Münster, Germany}, pages = {215--224}, publisher = {Springer}, title = {{Spatio-temporal extraction of articulated models in a graph pyramid}}, doi = {10.1007/978-3-642-20844-7_22}, volume = {6658}, year = {2011}, } @inproceedings{10908, abstract = {We present ABC, a software tool for automatically computing symbolic upper bounds on the number of iterations of nested program loops. The system combines static analysis of programs with symbolic summation techniques to derive loop invariant relations between program variables. Iteration bounds are obtained from the inferred invariants, by replacing variables with bounds on their greatest values. We have successfully applied ABC to a large number of examples. The derived symbolic bounds express non-trivial polynomial relations over loop variables. We also report on results to automatically infer symbolic expressions over harmonic numbers as upper bounds on loop iteration counts.}, author = {Blanc, Régis and Henzinger, Thomas A and Hottelier, Thibaud and Kovács, Laura}, booktitle = {Logic for Programming, Artificial Intelligence, and Reasoning}, editor = {Clarke, Edmund M and Voronkov, Andrei}, isbn = {9783642175107}, issn = {1611-3349}, location = {Dakar, Senegal}, pages = {103--118}, publisher = {Springer Nature}, title = {{ABC: Algebraic Bound Computation for loops}}, doi = {10.1007/978-3-642-17511-4_7}, volume = {6355}, year = {2010}, } @inbook{5940, author = {Juhás, Gabriel and Kazlov, Igor and Juhásová, Ana}, booktitle = {Applications and Theory of Petri Nets}, isbn = {9783642136740}, issn = {0302-9743}, pages = {1--17}, publisher = {Springer Berlin Heidelberg}, title = {{Instance Deadlock: A Mystery behind Frozen Programs}}, doi = {10.1007/978-3-642-13675-7_1}, year = {2010}, } @inproceedings{11800, abstract = {Web search engines have emerged as one of the central applications on the Internet. In fact, search has become one of the most important activities that people engage in on the the Internet. Even beyond becoming the number one source of information, a growing number of businesses are depending on web search engines for customer acquisition. The first generation of web search engines used text-only retrieval techniques. Google revolutionized the field by deploying the PageRank technology – an eigenvector-based analysis of the hyperlink structure – to analyze the web in order to produce relevant results. Moving forward, our goal is to achieve a better understanding of a page with a view towards producing even more relevant results.}, author = {Henzinger, Monika H}, booktitle = {31st International Colloquium on Automata, Languages and Programming}, issn = {1611-3349}, location = {Turku, Finland}, pages = {3}, publisher = {Springer Nature}, title = {{The past, present, and future of web search engines}}, doi = {10.1007/978-3-540-27836-8_2}, volume = {3142}, year = {2004}, } @inproceedings{11801, abstract = {Web search engines have emerged as one of the central applications on the internet. In fact, search has become one of the most important activities that people engage in on the Internet. Even beyond becoming the number one source of information, a growing number of businesses are depending on web search engines for customer acquisition. In this talk I will brief review the history of web search engines: The first generation of web search engines used text-only retrieval techniques. Google revolutionized the field by deploying the PageRank technology – an eigenvector-based analysis of the hyperlink structure- to analyze the web in order to produce relevant results. Moving forward, our goal is to achieve a better understanding of a page with a view towards producing even more relevant results. Google is powered by a large number of PCs. Using this infrastructure and striving to be as efficient as possible poses challenging systems problems but also various algorithmic challenges. I will discuss some of them in my talk.}, author = {Henzinger, Monika H}, booktitle = {2th Annual European Symposium on Algorithms}, isbn = { 3540230254}, issn = {1611-3349}, location = {Bergen, Norway}, pages = {3}, publisher = {Springer Nature}, title = {{Algorithmic aspects of web search engines}}, doi = {10.1007/978-3-540-30140-0_2}, volume = {3221}, year = {2004}, } @inproceedings{11802, abstract = {In this paper we survey algorithmic aspects of Web information retrieval. As an example, we discuss ranking of search engine results using connectivity analysis.}, author = {Henzinger, Monika H}, booktitle = {8th Annual European Symposium on Algorithms}, isbn = {9783540410041}, issn = {1611-3349}, location = {Saarbrücken, Germany}, pages = {1–8}, publisher = {Springer Nature}, title = {{Web information retrieval - an algorithmic perspective}}, doi = {10.1007/3-540-45253-2_1}, volume = {1879}, year = {2000}, } @inproceedings{11803, abstract = {We present the first fully dynamic algorithm for maintaining a minimum spanning tree in time o(√n) per operation. To be precise, the algorithm uses O(n 1/3 log n) amortized time per update operation. The algorithm is fairly simple and deterministic. An immediate consequence is the first fully dynamic deterministic algorithm for maintaining connectivity and, bipartiteness in amortized time O(n 1/3 log n) per update, with O(1) worst case time per query.}, author = {Henzinger, Monika H and King, Valerie}, booktitle = {24th International Colloquium on Automata, Languages and Programming}, isbn = {9783540631651}, issn = {1611-3349}, location = {Bologna, Italy}, pages = {594–604}, publisher = {Springer Nature}, title = {{Maintaining minimum spanning trees in dynamic graphs}}, doi = {10.1007/3-540-63165-8_214}, volume = {1256}, year = {1997}, } @book{4612, editor = {Alur, Rajeev and Henzinger, Thomas A and Sontag, Eduardo D}, isbn = {978-3-540-61155-4}, issn = {0302-9743}, pages = {IX, 619}, publisher = {Springer}, title = {{Hybrid Systems III: Verification and Control}}, doi = {10.1007/BFb0020931}, volume = {1066}, year = {1996}, } @inproceedings{11804, abstract = {This paper shows how a general technique, called lock-step search, used in dynamic graph algorithms, can be used to improve the running time of two problems arising in program verification and communication protocol design. (1)We consider the nonemptiness problem for Streett automata: We are given a directed graph G = (V, E) with n = ¦V¦ and m = ¦E¦, and a collection of pairs of subsets of vertices, called Streett pairs,〈L i , U i 〉, i = 1.k. The question is whether G has a cycle (not necessarily simple) which, for each 1 ≤ i ≤ k, if it contains a vertex from L i then it also contains a vertex of U i . Let b=Σ i=1..k |L i |+|U i |. The previously best algorithm takes time O((m + b) min{n, k}). We present an algorithm that takes time 𝑂(𝑚min{𝑚𝑙𝑜𝑔𝑛,‾‾‾‾‾‾√𝑘,𝑛}+𝑏𝑚𝑖𝑛{𝑙𝑜𝑔𝑛,𝑘}). (2)In communication protocol pruning we are given a directed graph G = (V, E) with l special vertices. The problem is to efficiently maintain the strongly-connected components of the special vertices on a restricted set of edge deletions. Let m i be the number of edges in the strongly connected component of the ith special vertex. The previously best algorithm repeatedly recomputes the strongly-connected components which leads to a running time of O(Σ i m 2i). We present an algorithm with time 𝑂(𝑙√∑𝑖𝑚1.5𝑖).}, author = {Henzinger, Monika H and Telle, Jan Arne}, booktitle = {5th Scandinavian Workshop on Algorithm Theory}, isbn = {9783540614227}, issn = {1611-3349}, location = {Reykjavik, Iceland}, pages = {16–27}, publisher = {Springer Nature}, title = {{Faster algorithms for the nonemptiness of streett automata and for communication protocol pruning}}, doi = {10.1007/3-540-61422-2_117}, volume = {1097}, year = {1996}, } @inproceedings{11910, abstract = {We state a new sampling lemma and use it to improve the running time of dynamic graph algorithms. For the dynamic connectivity problem the previously best randomized algorithm takes expected time O(log3 n) per update, amortized over Ω(m) updates. Using the new sampling lemma, we improve its running time to O(log2 n). There exists a lower bound in the cell probe model for the time per operation of Ω(log n/ log log n) for this problem. Similarly improved running times are achieved for 2-edge connectivity, k-weight minimum spanning tree, and bipartiteness.}, author = {Henzinger, Monika H and Thorup, Mikkel}, booktitle = {23rd International Colloquium on Automata, Languages, and Programming}, isbn = {9783540614401}, issn = {1611-3349}, location = {Paderborn, Germany}, pages = {290--299}, publisher = {Springer Nature}, title = {{Improved sampling with applications to dynamic graph algorithms}}, doi = {10.1007/3-540-61440-0_136}, volume = {1099}, year = {1996}, } @inproceedings{11805, abstract = {In this paper, we present sparse certificates for biconnectivity together with algorithms for updating these certificates. We thus obtain fully-dynamic algorithms for biconnectivity in graphs that run in O(√n log n log⌈m/n⌉) amortized time per operation, where m is the number of edges and n is the number of nodes in the graph. This improves upon the results in [11], in which algorithms were presented running in O(√m) amortized time, and solves the open problem to find certificates to speed up biconnectivity, as stated in [2].}, author = {Henzinger, Monika H and Poutré, Han}, booktitle = {3rd Annual European Symposium on Algorithms}, isbn = {9783540603139}, issn = {1611-3349}, location = {Corfu, Greece}, pages = {171–184}, publisher = {Springer Nature}, title = {{Certificates and fast algorithms for biconnectivity in fully-dynamic graphs}}, doi = {10.1007/3-540-60313-1_142}, volume = {979}, year = {1995}, } @inproceedings{11806, abstract = {This paper presents insertions-only algorithms for maintaining the exact and approximate size of the minimum edge cut and the minimum vertex cut of a graph. The algorithms output the approximate or exact size k in time O(1) or O(log n) and a cut of size k in time linear in its size. The amortized time per insertion is O(1/ε 2) for a (2+ε)-approximation, O((log λ)((log n)/ε)2) for a (1+ε)-approximation, and O(λ log n) for the exact size of the minimum edge cut, where n is the number of nodes in the graph, λ is the size of the minimum cut and ε>0. The (2+ε)-approximation algorithm and the exact algorithm are deterministic, the (1+ε)-approximation algorithm is randomized. The algorithms are optimal in the sense that the time needed for m insertions matches the time needed by the best static algorithm on a m-edge graph. We also present a static 2-approximation algorithm for the size κ of the minimum vertex cut in a graph, which takes time O(n 2 min(√n,κ)). This is a factor of κ faster than the best algorithm for computing the exact size, which takes time O(κ 2 n 2 +κ 3 n 1.5). We give an insertionsonly algorithm for maintaining a (2+ε)-approximation of the minimum vertex cut with amortized insertion time O(n(logκk)/ε).}, author = {Henzinger, Monika H}, booktitle = {22nd International Colloquium on Automata, Languages and Programming}, isbn = {9783540494256}, issn = {1611-3349}, location = {Szeged, Hungary}, pages = {280–291}, publisher = {Springer Nature}, title = {{Approximating minimum cuts under insertions}}, doi = {10.1007/3-540-60084-1_81}, volume = {944}, year = {1995}, }