Submodular Functions and Optimization (häftad)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
410
Utgivningsdatum
2005-07-01
Upplaga
2
Förlag
Elsevier Science
Illustrationer
illustrations
Volymtitel
Volume 58
Dimensioner
246 x 169 x 20 mm
Vikt
860 g
Antal komponenter
1
Komponenter
52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam
ISSN
01675060
ISBN
9780444520869

Submodular Functions and Optimization

Second Edition

Inbunden,  Engelska, 2005-07-01
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It has widely been recognized that submodular functions play essential roles in efficiently solvable combinatorial optimization problems. Since the publication of the 1st edition of this book fifteen years ago, submodular functions have been showing further increasing importance in optimization, combinatorics, discrete mathematics, algorithmic computer science, and algorithmic economics, and there have been made remarkable developments of theory and algorithms in submodular functions. The 2nd edition of the book supplements the 1st edition with a lot of remarks and with new two chapters: "Submodular Function Minimization" and "Discrete Convex Analysis." The present 2nd edition is still a unique book on submodular functions, which is essential to students and researchers interested in combinatorial optimization, discrete mathematics, and discrete algorithms in the fields of mathematics, operations research, computer science, and economics.
  • Self-contained exposition of the theory of submodular functions
  • Selected up-to-date materials substantial to future developments
  • Polyhedral description of Discrete Convex Analysis
  • Full description of submodular function minimization algorithms
  • Effective insertion of figures
  • Useful in applied mathematics, operations research, computer science, and economics
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Innehållsförteckning

Part I.1. Introduction2. Submodular Systems and Base Polyhedra3. Neoflows4. Submodular Analysis5. Nonlinear Optimizaation with Submodular Constraints

Part II6. Submodular Function Minimization7. Discrete Convex Analysis