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Documents authored by Halman, Nir

Document
DOI: 10.4230/LIPIcs.APPROX-RANDOM.2016.9
A Deterministic Fully Polynomial Time Approximation Scheme For Counting Integer Knapsack Solutions Made Easy

Authors: Nir Halman

Published in: LIPIcs, Volume 60, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2016)

Abstract
Given n elements with nonnegative integer weights w=(w_1,...,w_n), an integer capacity C and positive integer ranges u=(u_1,...,u_n), we consider the counting version of the classic integer knapsack problem: find the number of distinct multisets whose weights add up to at most C. We give a deterministic algorithm that estimates the number of solutions to within relative error epsilon in time polynomial in n, log U and 1/epsilon, where U=max_i u_i. More precisely, our algorithm runs in O((n^3 log^2 U)/epsilon) log (n log U)/epsilon) time. This is an improvement of n^2 and 1/epsilon (up to log terms) over the best known deterministic algorithm by Gopalan et al. [FOCS, (2011), pp. 817-826]. Our algorithm is relatively simple, and its analysis is rather elementary. Our results are achieved by means of a careful formulation of the problem as a dynamic program, using the notion of binding constraints.
Cite as

Nir Halman. A Deterministic Fully Polynomial Time Approximation Scheme For Counting Integer Knapsack Solutions Made Easy. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 60, pp. 9:1-9:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{halman:LIPIcs.APPROX-RANDOM.2016.9,
  author =	{Halman, Nir},
  title =	{{A Deterministic Fully Polynomial Time Approximation Scheme For Counting Integer Knapsack Solutions Made Easy}},
  booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2016)},
  pages =	{9:1--9:11},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-018-7},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{60},
  editor =	{Jansen, Klaus and Mathieu, Claire and Rolim, Jos\'{e} D. P. and Umans, Chris},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2016.9},
  URN =		{urn:nbn:de:0030-drops-66327},
  doi =		{10.4230/LIPIcs.APPROX-RANDOM.2016.9},
  annote =	{Keywords: Approximate counting, integer knapsack, dynamic programming, bounding constraints, \$K\$-approximating sets and functions}
}
Document
DOI: 10.4230/DagSemProc.07471.4
Simple Stochastic Games, Parity Games, Mean Payoff Games and Discounted Payoff Games are all LP-Type Problems

Authors: Nir Halman

Published in: Dagstuhl Seminar Proceedings, Volume 7471, Equilibrium Computation (2008)

Abstract
We show that a Simple Stochastic Game (SSG) can be formulated as an LP-type problem. Using this formulation, and the known algorithm of Sharir and Welzl for LP-type problems, we obtain the first strongly subexponential solution for SSGs (a strongly subexponential algorithm has only been known for binary SSGs). Using known reductions between various games, we achieve the first trongly subexponential solutions for Discounted and Mean Payoff Games. We also give alternative simple proofs for the best known upper bounds for Parity Games and binary SSGs. To the best of our knowledge, the LP-type framework has been used so far only in order to yield linear or close to linear time algorithms for various problems in computational geometry and location theory. Our approach demonstrates the applicability of the LP-type framework in other fields, and for achieving subexponential algorithms. This work has been published in Algorithmica, volume 49 (September 2007), pages 37-50
Cite as

Nir Halman. Simple Stochastic Games, Parity Games, Mean Payoff Games and Discounted Payoff Games are all LP-Type Problems. In Equilibrium Computation. Dagstuhl Seminar Proceedings, Volume 7471, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{halman:DagSemProc.07471.4,
  author =	{Halman, Nir},
  title =	{{Simple Stochastic Games, Parity Games, Mean Payoff Games and Discounted Payoff Games are all LP-Type Problems}},
  booktitle =	{Equilibrium Computation},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7471},
  editor =	{P. Jean-Jacques Herings and Marcin Jurdzinski and Peter Bro Miltersen and Eva Tardos and Bernhard von Stengel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07471.4},
  URN =		{urn:nbn:de:0030-drops-15274},
  doi =		{10.4230/DagSemProc.07471.4},
  annote =	{Keywords: Subexponential algorithm, LP-type framework}
}
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