NP-hard

Results: 119



#Item
11Graph theory / Mathematics / Computational complexity theory / NP-complete problems / Combinatorial optimization / NP-hard problems / Approximation algorithms / Edsger W. Dijkstra / Travelling salesman problem / Nearest neighbour algorithm / Shortest path problem / Maximal independent set

Random Shortest Paths: Non-Euclidean Instances for Metric Optimization Problems Karl Bringmann1 , Christian Engels2 , Bodo Manthey3 , B. V. Raghavendra Rao4 1 Max Planck Institute for Informatics, .d

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

Language: English - Date: 2016-01-03 06:46:12
12Computational complexity theory / Graph theory / Mathematics / NP-complete problems / Combinatorial optimization / NP-hard problems / Graph coloring / Signal-to-interference-plus-noise ratio / NC / Open set / Independent set / Matching

Capacity of Arbitrary Wireless Networks Olga Goussevskaia Roger Wattenhofer Computer Engineering and

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Source URL: disco.ethz.ch

Language: English - Date: 2014-09-26 08:36:24
13Computational complexity theory / Mathematics / Theory of computation / Operations research / NP-hard problems / Analysis of algorithms / Asymptotic analysis / Big O notation / Mathematical notation / NP / Travelling salesman problem / Gap reduction

CS2101 Due: Tuesday 2nd of December 2014 Problem Set 3 CS2101

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Source URL: www.csd.uwo.ca

Language: English - Date: 2014-11-27 12:00:09
14Mathematics / Combinatorics / Combinatorial optimization / Matroid theory / Discrete mathematics / Matroid / Greedoid / Partition matroid / Matroid oracle

The Complexity of the Matroid-Greedoid Partition Problem Vera Asodi∗ and Christopher Umans† Abstract We show that the maximum matroid-greedoid partition problem is NP-hard to approximate

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Source URL: users.cms.caltech.edu

Language: English - Date: 2008-11-17 17:17:16
15Computational complexity theory / Complexity classes / Theory of computation / NP / P / Reduction / Time complexity

What makes the Arc-Preserving Subsequence problem hard?⋆ Guillaume Blin1 , Guillaume Fertin1 , Romeo Rizzi2 , and St´ephane Vialette3 1 2

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Source URL: pagesperso.lina.univ-nantes.fr

Language: English - Date: 2009-07-03 08:56:58
16Computational 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
17Mathematical 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
18Constructible universe / Operator theory

BERNSTEIN is NP hard A new representation for geometric sets Fractals and intervals

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Source URL: raim2012.u-bourgogne.fr

Language: English - Date: 2012-07-16 09:28:31
19Graph theory / Mathematics / Computational complexity theory / NP-complete problems / Spanning tree / Operations research / Combinatorial optimization / NP-hard problems / Online algorithm / Steiner tree problem / Minimum spanning tree / Travelling salesman problem

CS261: A Second Course in Algorithms Lecture #13: Online Scheduling and Online Steiner Tree∗ Tim Roughgarden† February 16,

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Source URL: theory.stanford.edu

Language: English - Date: 2016-03-01 15:15:38
20NP-complete problems / Computational complexity theory / Analysis of algorithms / Operations research / NP-hard problems / Vertex cover / Travelling salesman problem / Dynamic programming / Parameterized complexity / Independent set / Algorithm / 2-satisfiability

CS261: A Second Course in Algorithms Lecture #19: Beating Brute-Force Search∗ Tim Roughgarden† March 8, 2016 A popular myth is that, for N P -hard problems, there are no algorithms with worst-case running time better

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Source URL: theory.stanford.edu

Language: English - Date: 2016-03-15 10:47:56
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