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 mos
Analysis and Design of Algorithms for Combinatorial Problems
β Scribed by G. Ausiello and M. Lucertini (Eds.)
- Publisher
- Elsevier Science Ltd
- Year
- 1985
- Tongue
- English
- Leaves
- 335
- Series
- North-Holland Mathematics Studies 109 / Annals of Discrete Mathematics 25
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Content:
General Editor
Page ii
Edited by
Page iii
Copyright page
Page iv
Foreword
Pages v-vii
Giorgio Ausiello, Mario Lucertini
Strongly Equivalent Directed Hypergraphs Original Research Article
Pages 1-25
G. Ausiello, A. D'atri, D. Sacca'
A Local-Ratio Theorem for Approximating the Weighted Vertex Cover Problem Original Research Article
Pages 27-45
R. Bar-Yehuda, S. Even
Dynamic Programming Parallel Procedures for SIMD Architectures Original Research Article
Pages 47-63
Paola Bertolazzi
Simulations Among Classes of Random Access Machines and Equivalence Among Numbers Succinctly Represented Original Research Article
Pages 65-89
A. Bertoni, G. Mauri, N. Sabadini
A Realistic Approach to VLSI Relational Database Processing Original Research Article
Pages 91-108
M.A. Bonuccelli, E. Lodi, F. Luccio, P. Maestrini, L. Pagli
On Counting Becs Original Research Article
Pages 109-124
R. Casas, J. DΓaz, M. VergΓ©s
Rigid Extensions of Graph Maps Original Research Article
Pages 125-143
I.S. Filotti
Algebraic Methods for Trie Statistics Original Research Article
Pages 145-188
Philippe Flajolet, Mireille Regnier, Dominique Sotteau
Easy Solutions for the KβCenter Problem or the Dominating Set Problem on Random Graphs Original Research Article
Pages 189-209
Dorit S. Hochbaum
Network Design with Multiple Demand: A New Approach Original Research Article
Pages 211-237
M. Lucertini, G. Paletta
How to Find Long Paths Efficiently Original Research Article
Pages 239-254
B. Monien
Compact Channel Routing of Multiterminal Nets Original Research Article
Pages 255-279
M. Sarrafzadeh, F.P. Preparata
Consistency of Quadratic Boolean Equations and the KΓΆnig-EgervΓ‘ry Property for Graphs Original Research Article
Pages 281-290
Bruno Simeone
On Some Relationships Between Combinatorics and Probabilistic Analysis Original Research Article
Pages 291-309
M. Talamo, A. MarchettiβSpaccamela, M. Protasi
A Threshold for Multiple Edge Coverings in Random Hypergraphs Original Research Article
Pages 311-319
C. Vercellis
π SIMILAR VOLUMES
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
<span>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
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