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The Design of Approximation Algorithms
The Design of Approximation Algorithms
David P. Williamson, David B. Shmoys
1st Edition
ISBN #9780521195270
131 Questions
0 Students Work From this Textbook
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Chapters
1
An Introduction to Approximation Algorithms
0 sections
6 questions
2
Greedy Algorithms and Local Search
0 sections
16 questions
3
Rounding Data and Dynamic Programming
0 sections
9 questions
4
Deterministic Rounding of Linear Programs
0 sections
7 questions
5
Random Sampling and Randomized Rounding of Linear Programs
0 sections
14 questions
6
Randomized Rounding of Semidefinite Programs
0 sections
8 questions
7
The Primal-Dual Method
0 sections
10 questions
8
Cuts and Metrics
0 sections
12 questions
9
Further Uses of Greedy and Local Search Algorithms
0 sections
5 questions
10
Further Uses of Rounding Data and Dynamic Programming
0 sections
5 questions
11
Further Uses of Deterministic Rounding of Linear Programs
0 sections
6 questions
12
Further Uses of Random Sampling and Randomized Rounding of Linear Programs
0 sections
6 questions
13
Further Uses of Randomized Rounding of Semidefinite Programs
0 sections
3 questions
14
Further Uses of the Primal-Dual Method
0 sections
5 questions
15
Further Uses of Cuts and Metrics
0 sections
9 questions
16
Techniques in Proving the Hardness of Approximation
0 sections
0 questions
17
Open Problems
0 sections
10 questions
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