Worst-case complexity

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11Exercise 7: Lost in complexity Task 1: Why is everything so hard?!? In this exercise, we always consider connected, simple, weighted graphs G = (V, E, W ), restrict message size to O(log n) bits, and assess worst-case ro

Exercise 7: Lost in complexity Task 1: Why is everything so hard?!? In this exercise, we always consider connected, simple, weighted graphs G = (V, E, W ), restrict message size to O(log n) bits, and assess worst-case ro

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

Language: English - Date: 2014-12-02 10:37:59
12CS261: 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

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
13Computing Fundamentals Salvatore Filippone  2012–2013

Computing Fundamentals Salvatore Filippone 2012–2013

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Source URL: people.uniroma2.it

Language: English - Date: 2014-09-23 08:12:56
14Parameterized Average-Case Complexity of the Hypervolume Indicator Karl Bringmann Tobias Friedrich

Parameterized Average-Case Complexity of the Hypervolume Indicator Karl Bringmann Tobias Friedrich

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

Language: English - Date: 2016-01-03 06:45:47
15Computing Fundamentals Salvatore Filippone  2013–2014

Computing Fundamentals Salvatore Filippone 2013–2014

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Source URL: people.uniroma2.it

Language: English - Date: 2014-09-23 08:13:16
16Fault Tolerant External Memory Algorithms Gerth Stølting Brodal1 , Allan Grønlund Jørgensen1,? , and Thomas Mølhave1,? BRICS, MADALGO?? , Department of Computer Science, Aarhus University, Denmark. {gerth,jallan,thom

Fault Tolerant External Memory Algorithms Gerth Stølting Brodal1 , Allan Grønlund Jørgensen1,? , and Thomas Mølhave1,? BRICS, MADALGO?? , Department of Computer Science, Aarhus University, Denmark. {gerth,jallan,thom

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Source URL: users.cs.duke.edu

Language: English - Date: 2015-07-24 06:57:56
17Modeling Real-World Data Sets Susanne Albers Department of Computer Science, Technische Universität München Boltzmannstr. 3, 85748 Garching, Germany

Modeling Real-World Data Sets Susanne Albers Department of Computer Science, Technische Universität München Boltzmannstr. 3, 85748 Garching, Germany

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Source URL: drops.dagstuhl.de

Language: English - Date: 2015-06-11 03:07:17
18Sorting and Selection on Dynamic Data∗ Aris Anagnostopoulos† Ravi Kumar‡  Mohammad Mahdian‡

Sorting and Selection on Dynamic Data∗ Aris Anagnostopoulos† Ravi Kumar‡ Mohammad Mahdian‡

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Source URL: bioinfo.ict.ac.cn

Language: English - Date: 2014-11-28 11:05:21
19CS264: Beyond Worst-Case Analysis Lecture #1: Three Motivating Examples∗ Tim Roughgarden† September 22,

CS264: Beyond Worst-Case Analysis Lecture #1: Three Motivating Examples∗ Tim Roughgarden† September 22,

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Source URL: theory.stanford.edu

Language: English - Date: 2014-11-02 12:29:21
20Tight Bounds for Parallel Randomized Load Balancing [Extended Abstract] ∗  Christoph Lenzen

Tight Bounds for Parallel Randomized Load Balancing [Extended Abstract] ∗ Christoph Lenzen

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

Language: English - Date: 2015-05-29 10:12:02