This is the most comprehensive compilation on combinatorial optiomization I have seen so far. Usually, Papadimitriou's book is a good place for this material - but in many cases, looking for proofs and theorems - I had to use several books: (*) Combinatorial Optimization Algorithms and Complexity by
Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)
β Scribed by Bernhard Korte
- Publisher
- Springer
- Year
- 2012
- Tongue
- English
- Leaves
- 664
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This comprehensive textbook on combinatorial optimization places specialemphasis on theoretical results and algorithms with provably goodperformance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the fundamentals, covers the classical topics (paths, flows, matching, matroids, NP-completeness, approximation algorithms) in detail, and proceeds to advanced and recent topics, some of which have not appeared in a textbook before. Throughout, it contains complete but concise proofs, and also provides numerousexercises and references.
This fifth edition has again been updated, revised, and significantlyextended, with more than 60 new exercises and new material on varioustopics, including Cayley's formula, blocking flows, faster"b"-matching separation, multidimensional knapsack, multicommoditymax-flow min-cut ratio, and sparsest cut. Thus, this book represents the state of the art of combinatorial optimization.
β¦ Table of Contents
Combinatorial Optimization
Preface to the Fifth Edition
Preface to the Fourth Edition
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Table of Contents
1 Introduction
2 Graphs
3 Linear Programming
4 Linear Programming Algorithms
5 Integer Programming
6 Spanning Trees and Arborescences
7 Shortest Paths
8 Network Flows
9 Minimum Cost Flows
10 Maximum Matchings
11 Weighted Matching
12 b-Matchings and T-Joins
13 Matroids
14 Generalizations of Matroids
15 NP-Completeness
16 Approximation Algorithms
17 The Knapsack Problem
18 Bin-Packing
19 Multicommodity Flows and Edge-Disjoint Paths
20 Network Design Problems
21 The Traveling Salesman Problem
22 Facility Location
Notation Index
Author Index
Subject Index
π SIMILAR VOLUMES
This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and, in particular, combinatorial optimization. It offers a unifying approach which is based on two fundamental geometric algorithms: the ellipsoid method for finding a poin
This book develops geometric techniques for proving the polynomial time solvability of problems in convexity theory, geometry, and, in particular, combinatorial optimization. It offers a unifying approach which is based on two fundamental geometric algorithms: the ellipsoid method for finding a poin
<P>Now fully updated in a third edition, this is a comprehensive textbook on combinatorial optimization. It puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. The book contains complete but concise proofs, also for many deep results
This comprehensive textbook on combinatorial optimization puts special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics.It has arisen as the basis of several courses on combinatorial optimization and more special topics at graduate level. Since