Combinatorial Optimization: Theory and Algorithms

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Springer Science & Business Media, 27.01.2006 - 597 Seiten

This well-written textbook on combinatorial optimization puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. The book contains complete (but concise) proofs, as well as many deep results, some of which have not appeared in any previous books.

 

Inhalt

Introduction
1
Exercises
9
Maximum Matchings
10
Network Design Problems
20
Exercises
42
3
49
Linear Programming Algorithms
65
Spanning Trees and Arborescences
118
bMatchings and TJoins
271
Exercises
282
References
288
Generalizations of Matroids
323
NPCompleteness
343
The Knapsack Problem
419
BinPacking
427
Exercises
438

Exercises
132
Shortest Paths
140
Exercises
153
References
155
8
160
Minimum Cost Flows
190
3
243
Weighted Matching
245
Multicommodity Flows and EdgeDisjoint Paths
442
Exercises
495
Facility Location
536
References
570
Notation Index
573
Subject Index
585
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