Linear Programming with MATLAB

Häftad, Engelska, 2007

Del i serien MOS-SIAM Series on Optimization

701 kr

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Beskrivning

This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems.Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, and nonlinear functions and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors.

Produktinformation

Utgivningsdatum:2007-11-30
Mått:152 x 229 x undefined mm
Vikt:512 g
Format:Häftad
Språk:Engelska
Serie:MOS-SIAM Series on Optimization
Antal sidor:277
Förlag:Society for Industrial & Applied Mathematics,U.S.
ISBN:9780898716436

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT

Mer om författaren

Michael C. Ferris is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison. Olvi L. Mangasarian is John von Neumann Professor Emeritus of Mathematics and Computer Sciences at the University of Wisconsin-Madison. Stephen J. Wright is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison.

Innehållsförteckning

Contents: PrefaceChapter 1: IntroductionChapter 2. Linear Algebra: A Constructive ApproachChapter 3: The Simplex MethodChapter 4: DualityChapter 5: Solving Large Linear ProgramsChapter 6: Sensitivity and Parametric Linear ProgrammingChapter 7: Quadratic Programming and Complementarity ProblemsChapter 8: Interior-Point MethodsChapter 9: Approximation and ClassificationAppendix A: Linear Algebra, Convexity, and Nonlinear FunctionsAppendix B: Summary of Available MATLAB CommandsBibliographyIndex.