Polynomial-time approximation scheme

Results: 52



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The G¨odel Prize 2010 Laudatio for S. Arora and J.S.B. Mitchell The G¨odel Prize 2010 is awarded to Sanjeev Arora and Joseph S.B. Mitchell for their concurrent discovery of a polynomial-time approximation scheme (PTAS)

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Source URL: eatcs.org

Language: English - Date: 2016-09-14 05:18:24
    2Computational complexity theory / Theory of computation / Complexity classes / NP-complete problems / Combinatorial optimization / Packing problems / Approximation algorithms / Knapsack problem / NP / APX

    A Polynomial-Time Approximation Scheme for Maximum Quartet Compatibility

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    Source URL: tandy.cs.illinois.edu

    Language: English - Date: 2015-04-08 19:35:45
    3Computational complexity theory / Mathematics / Theory of computation / Analysis of algorithms / Scheduling / Polynomial-time approximation scheme / Makespan / Time complexity / Partition / Randomized algorithm / Algorithm / Integral

    Truthful Approximation Schemes for Single-Parameter Agents∗ Peerapong Dhangwatnotai† Shahar Dobzinski‡ Shaddin Dughmi§

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    Source URL: theory.stanford.edu

    Language: English - Date: 2011-05-11 07:37:06
    4Computational complexity theory / Complexity classes / Theory of computation / Polynomial-time approximation scheme / APX / Strong NP-completeness / NP

    A PTAS for the Highway Problem Fabrizio Grandoni & Thomas Rothvo Institute of Mathemati s EPFL, Lausanne The Highway Problem

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    Source URL: www.math.washington.edu

    Language: English - Date: 2013-11-01 17:11:36
    5Computational complexity theory / Theory of computation / Complexity classes / Strong NP-completeness / Polynomial-time approximation scheme / Bin / Packing problems / NP-complete problems / Bin packing problem

    Bin Pa king via Dis repan y of Permutations F. Eisenbrand, D. Palv olgyi & T. Rothvo Cargese Workshop 2010

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    Source URL: www.math.washington.edu

    Language: English - Date: 2013-11-01 17:11:36
    6Computational complexity theory / Operations research / Theory of computation / Mathematics / Knapsack problem / Optimization problem / NP / Mathematical optimization / Polynomial-time approximation scheme / Dynamic programming / Time complexity / Isolation lemma

    CS264: Homework #8 Due by midnight on Wednesday, November 19, 2014 Instructions: (1) Students taking the course pass-fail should complete the exercises. Students taking the course for a letter grade should also complete

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    Source URL: theory.stanford.edu

    Language: English - Date: 2014-11-14 09:53:16
    7Computational complexity theory / Theory of computation / Complexity classes / Approximation algorithms / Computational hardness assumptions / Polynomial-time approximation scheme / Time complexity / NC / Reduction / Exponential time hypothesis / NP-hardness / NP

    Approximating the least hypervolume contributor: NP-hard in general, but fast in practice Karl Bringmann1 and Tobias Friedrich2 1

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    Source URL: people.mpi-inf.mpg.de

    Language: English - Date: 2016-01-03 06:44:56
    8Computational complexity theory / Theory of computation / Complexity classes / Polynomial-time approximation scheme / BPP / Time complexity / NP / NC

    Approximating the volume of unions and intersections of high-dimensional geometric objects Karl Bringmann1 and Tobias Friedrich2,3 1

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    Source URL: people.mpi-inf.mpg.de

    Language: English - Date: 2016-01-03 06:44:42
    9Mathematical analysis / Mathematics / Approximation algorithms / Polynomial-time approximation scheme / Pi / NP-hard problems / -net

    Approximating the volume of unions and intersections of high-dimensional geometric objects Karl Bringmann Tobias Friedrich

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    Source URL: people.mpi-inf.mpg.de

    Language: English - Date: 2016-01-03 06:47:38
    10Computational complexity theory / Theory of computation / Operations research / Complexity classes / Combinatorial optimization / Analysis of algorithms / Knapsack problem / Simplex algorithm / Time complexity / Optimization problem / NP / Polynomial-time approximation scheme

    CS264: Beyond Worst-Case Analysis Lecture #15: Smoothed Complexity and Pseudopolynomial-Time Algorithms∗ Tim Roughgarden† November 5, 2014

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    Source URL: theory.stanford.edu

    Language: English - Date: 2014-12-24 22:57:16
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