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Item Details
| Title:
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SUBMODULAR FUNCTIONS AND OPTIMIZATION
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| Volume: |
Volume 58 |
| By: |
Satoru Fujishige |
| Format: |
Hardback |
| List price:
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£111.00 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0444520864 |
| ISBN 13: |
9780444520869 |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
26 July, 2005 |
| Edition: |
2nd edition |
| Series: |
Annals of Discrete Mathematics |
| Pages: |
410 |
| Description: |
It has widely been recognized that submodular functions play essential roles in efficiently solvable combinatorial optimization problems. This book features : self-contained exposition of the theory of submodular functions; polyhedral description of Discrete Convex Analysis; and, a description of submodular function minimization algorithms. |
| Synopsis: |
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.Key features:- 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. |
| Publication: |
UK |
| Imprint: |
Elsevier Science Ltd |
| Returns: |
Non-returnable |
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