Discrete Optimization
eBook - PDF

Discrete Optimization

  1. 472 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Discrete Optimization

About this book

This book treats the fundamental issues and algorithmic strategies emerging as the core of the discipline of discrete optimization in a comprehensive and rigorous fashion. Following an introductory chapter on computational complexity, the basic algorithmic results for the two major models of polynomial algorithms are introduced--models using matroids and linear programming. Further chapters treat the major non-polynomial algorithms: branch-and-bound and cutting planes. The text concludes with a chapter on heuristic algorithms.Several appendixes are included which review the fundamental ideas of linear programming, graph theory, and combinatorics--prerequisites for readers of the text. Numerous exercises are included at the end of each chapter.

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Yes, you can access Discrete Optimization by R. Gary Parker,Ronald L. Rardin in PDF and/or ePUB format, as well as other popular books in Mathematics & Discrete Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780125450751
eBook ISBN
9781483294803
Topic
Mathematics
Subtopic
Discrete Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Discrete Optimization
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Chapter 1. Introduction to Discrete Optimization
  8. Chapter 2. Computational Complexity
  9. Chapter 3. Polynomial Algorithms—Matroids
  10. Chapter 4. Polynomial Algorithms—Linear Programming
  11. Chapter 5. Nonpolynomial Algorithms—Partial Enumeration
  12. Chapter 6. Nonpolynomial Algorithms—Polyhedral Description
  13. Chapter 7. Nonexact Algorithms
  14. Appendix A: Vectors, Matrices and Convex Sets
  15. Appendix B: Graph Theory Fundamentals
  16. Appendix C: Linear Programming Fundamentals
  17. References
  18. Index