Search Results - f.2 [theory of computation]: analysis of algorithms and problems complexity

Molybdenum Disorder in Hydrated Sedovite, Ideally U(MoO4)2·nH2O, a Microporous Nanocrystalline Mineral Characterized by Three-Dimensional Electron Diffraction, Density Functional Theory Computations, and Complexity Analysis by Steciuk, Gwladys, Kiefer, Boris, Hornfeck, Wolfgang, Kasatkin, Anatoly V, Plášil, Jakub

“… The difficulty of isolating enough pure material limits studies to techniques that can access the nanoscale combined with theoretical analyses…”
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Complexity Theory and Algorithms for Graph Problems Driven by Comparative Analysis of Large-Scale Biological Networks by Chen, Wenbin

“…Many large-scale biological networks analysis problems reduce to problems on graphs, for which neither the underlying theory of their computational complexity nor the efficient algorithms are well studied…”
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Cut Query Algorithms with Star Contraction by 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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Nearly Optimal Communication and Query Complexity of Bipartite Matching by 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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CNF Satisfiability in a Subspace and Related Problems by 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 by 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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Deterministic Dynamic Matching in O(1) Update Time by 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 by 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 Maximizing Sums of Non-monotone Submodular and Linear Functions by 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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On Efficient Noncommutative Polynomial Factorization via Higman Linearization by 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 by 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 by 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 by 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 by 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 by 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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Solving Linear Equations Parameterized by Hamming Weight by 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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f-Sensitivity Distance Oracles and Routing Schemes by 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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Local Expanders by 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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Online Metric Tracking and Smoothing by 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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Testing the Supermodular-Cut Condition by 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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