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Linear programming using MATLAB®

Author: Nikolaos Ploskas; Nikolaos Samaras
Publisher: Cham : Springer, 2017.
Series: Springer optimization and its applications, v. 127.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nikolaos Ploskas; Nikolaos Samaras
ISBN: 9783319659190 3319659197
OCLC Number: 1011371709
Description: 1 online resource (xvii, 637 pages) : illustrations (some color).
Contents: 1. Introduction --
2. Linear Programming Algorithms --
3. Linear Programming Benchmark and Random Problems --
4. Presolve Methods --
5. Scaling Techniques --
6. Pivoting Rules --
7. Basis Inverse and Update Methods --
8. Revised Primal Simplex Algorithm --
9. Exterior Point Simplex Algorithms --
10. Interior Point Method --
11. Sensitivity Analysis --
Appendix: MATLAB's Optimization Toolbox Algorithms --
Appendix: State-of-the-art Linear Programming Solvers;CLP and CPLEX.
Series Title: Springer optimization and its applications, v. 127.
Responsibility: Nikolaos Ploskas, Nikolaos Samaras.

Abstract:

This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components.  Read more...

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