Analysis and Design of Algorithms for Combinatorial Problems ( Volume 25 )

Publication series :Volume 25

Author: Ausiello   G.;Lucertini   M.  

Publisher: Elsevier Science‎

Publication year: 1985

E-ISBN: 9780080872209

P-ISBN(Paperback): 9780444876997

P-ISBN(Hardback):  9780444876997

Subject: O157.1 portfolio analysis

Language: ENG

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Description

Combinatorial problems have been from the very beginning part of the history of mathematics. By the Sixties, the main classes of combinatorial problems had been defined. During that decade, a great number of research contributions in graph theory had been produced, which laid the foundations for most of the research in graph optimization in the following years. During the Seventies, a large number of special purpose models were developed.

The impressive growth of this field since has been strongly determined by the demand of applications and influenced by the technological increases in computing power and the availability of data and software. The availability of such basic tools has led to the feasibility of the exact or well approximate solution of large scale realistic combinatorial optimization problems and has created a number of new combinatorial problems.

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Foreword

pp.:  6 – 10

Contents

pp.:  10 – 12

Chapter 2. A local-ratio theorem for approximating the weighted vertex cover problem

pp.:  38 – 58

Chapter 3. Dynamic programming parallel procedures for SIMD architectures

pp.:  58 – 76

Chapter 4. Simulations among classes of random access machines and equivalence among numbers succinctly represented

pp.:  76 – 102

Chapter 5. A realistic approach to VLSI relational data-base processing

pp.:  102 – 120

Chapter 6. On counting BECS

pp.:  120 – 136

Chapter 7. Rigid extensions of graph maps

pp.:  136 – 156

Chapter 8. Algebraic methods for trie statistics

pp.:  156 – 200

Chapter 9. Easy solutions for the K-center problem or the dominating set problem on random graphs

pp.:  200 – 222

Chapter 10. Network design with multiple demand: a new approach

pp.:  222 – 250

Chapter 11. How to find long paths efficiently

pp.:  250 – 266

Chapter 12. Compact channel routing of multiterminal nets

pp.:  266 – 292

Chapter 13. Consistency of quadratic boolean equations and the König–Egerváry property for graphs

pp.:  292 – 302

Chapter 14. On some relationships between combinatorics and probabilistic analysis

pp.:  302 – 322

Chapter 15. A threshold for multiple edge coverings in random hypergraphs

pp.:  322 – 336

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