Suchergebnisse - f.2 [theory of computation]: analysis of algorithms and (problem OR problems) complexity*

Nearly Optimal Communication and Query Complexity of Bipartite Matching von Blikstad, Joakim, Van Den Brand, Jan, Efron, Yuval, Mukhopadhyay, Sagnik, Nanongkai, Danupon

“… We settle the complexities of the maximum-cardinality bipartite matching problem (BMM …”
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Cut Query Algorithms with Star Contraction von Apers, Simon, Efron, Yuval, Gawrychowski, Pawel, Lee, Troy, Mukhopadhyay, Sagnik, Nanongkai, Danupon

“… We study the complexity of determining the edge connectivity of a simple graph with cut queries. We show …”
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CNF Satisfiability in a Subspace and Related Problems von Arvind, V., Guruswami, Venkatesan

“… (the Union-of-Subspace Avoidance (USA) problem), and finding a common zero of a system of polynomials over F 2 each of which is a product of affine forms …”
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Online Multistage Subset Maximization Problems von Bampis, Evripidis, Escoffier, Bruno, Schewior, Kevin, Teiller, Alexandre

“… ) can be expressed as subset maximization problems : One is given a ground set N = { 1 , ⋯ , n } , a collection F ⊆ 2 N of subsets thereof …”
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On Maximizing Sums of Non-monotone Submodular and Linear Functions von Qi, Benjamin

“… ): given query access to a non-negative submodular function f : 2 N → R ≥ 0 and a linear function ℓ : 2 N …”
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Deterministic Dynamic Matching in O(1) Update Time von Bhattacharya, Sayan, Chakrabarty, Deeparnab, Henzinger, Monika

“… (FOCS), 2016) gave a randomized dynamic algorithm for this problem that has an approximation ratio of 2 and an amortized …”
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Dividing Splittable Goods Evenly and With Limited Fragmentation von Damaschke, Peter

“… We call F the fragmentation and mainly restrict attention to the cases F = 1 and F = 2 . For F = 1 , the max–min and min–max problems are solvable in linear time …”
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On Efficient Noncommutative Polynomial Factorization via Higman Linearization von Arvind, V., Joglekar, Pushkar S.

“… = F q is a finite field, we give a randomized algorithm that runs in time polynomial in s , n and log 2 q that computes a factorization of f as a product f = f 1 f 2 …”
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Multiple-Edge-Fault-Tolerant Approximate Shortest-Path Trees von Bilò, Davide, Gualà, Luciano, Leucci, Stefano, Proietti, Guido

“… ≥ 1 , we study the problem of designing a sparse f -edge-fault-tolerant ( f -EFT) σ …”
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Posimodular Function Optimization von Halldórsson, Magnús M., Ishii, Toshimasa, Makino, Kazuhisa, Takazawa, Kenjiro

“… A function f : 2 V → R on a finite set V is posimodular if f ( X ) + f ( Y ) ≥ f ( X \ Y ) + f ( Y \ X ) , for all X , Y ⊆ V . Posimodular functions often arise in combinatorial optimization such as undirected cut functions …”
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Quadratically Tight Relations for Randomized Query Complexity von Jain, Rahul, Klauck, Hartmut, Kundu, Srijita, Lee, Troy, Santha, Miklos, Sanyal, Swagato, Vihrovs, Jevgēnijs

“… ). The certificate complexity C ( f ) is such a complexity measure for the zero-error randomized query complexity R 0 ( f ): C ( f ) ≤ R 0 ( f ) ≤ C ( f ) 2 …”
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A Tight Algorithm for Strongly Connected Steiner Subgraph on Two Terminals with Demands von Chitnis, Rajesh, Esfandiari, Hossein, Hajiaghayi, MohammadTaghi, Khandekar, Rohit, Kortsarz, Guy, Seddighin, Saeed

“… ≤ i ≠ j ≤ p . The p -SCSS problem is NP-hard, but Feldman and Ruhl [FOCS ’99; SICOMP ’06] gave a novel n O ( p ) time algorithm. In this paper, we investigate …”
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O(f) Bi-criteria Approximation for Capacitated Covering with Hard Capacities von Kao, Mong-Jen, Tu, Hai-Lun, Lee, D. T.

“… We consider capacitated vertex cover with hard capacity constraints (VC-HC) on hypergraphs. In this problem we are given a hypergraph G …”
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f-Sensitivity Distance Oracles and Routing Schemes von Chechik, Shiri, Langberg, Michael, Peleg, David, Roditty, Liam

“… An f-sensitivity distance oracle for a weighted undirected graph G ( V , E ) is a data structure capable of answering restricted distance queries between …”
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Solving Linear Equations Parameterized by Hamming Weight von Arvind, V., Köbler, Johannes, Kuhnert, Sebastian, Torán, Jacobo

“… Given a system of linear equations A x = b over the binary field F 2 and an integer …”
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Local Expanders von Viola, Emanuele, Wigderson, Avi

“… ) more efficient error reduction for randomized algorithms, and (3) more efficient hardness amplification of one-way permutations …”
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Analysis of the impact of the number of edges in connected graphs on the computational complexity of the independent set problem von Malyshev, D. S.

“… Under study is the complexity status of the independent set problem in a class of connected graphs that are defined by functional constraints on the number of edges depending on the number of vertices …”
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Testing the Supermodular-Cut Condition von Tanigawa, Shin-Ichi, Yoshida, Yuichi

“… For a function on a finite set V with f (∅)= f ( V )=0, a digraph D =( V , A ) is called f -connected if it satisfies the f -cut condition, that is, δ D ( X )≥ …”
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Online Metric Tracking and Smoothing von Chen, Sixia, Russell, Alexander

“… ) with an associated cost function c :ℝ→ℝ. Given a signal f 1 , f 2 ,…∈ X the tracker is responsible for producing a sequence a 1 , a 2 …”
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Incremental Medians via Online Bidding von Chrobak, Marek, Kenyon, Claire, Noga, John, Young, Neal E.

“… An incremental algorithm produces a nested sequence of facility sets F 1 ⊆ F 2 ⊆ ⋅⋅⋅ ⊆ F n , where | F k |= k for each  k . Such an algorithm is called c -cost-competitive if the cost of each F k is at most c times the optimum k -median cost …”
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