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Linear Programming with MATLAB

Linear Programming with MATLAB

Linear Programming with MATLAB Paperback / softback - 2008 - 1st Edition

by Michael C. Ferris

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Paperback / softback. New. A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.
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Details

  • Title Linear Programming with MATLAB
  • Author Michael C. Ferris
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 280
  • Volumes 1
  • Language ENG
  • Publisher Society for Industrial and Applied Mathematic
  • Publication date 2008-07
  • Illustrated Yes
  • Bookseller's Inventory # A9780898716436
  • ISBN 9780898716436 / 0898716438
  • Weight 1.06 lbs (0.48 kg)
  • Dimensions 9.72 x 6.85 x 0.55 in (24.69 x 17.40 x 1.40 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2007061748
  • Dewey Decimal Code 519.72
  • Quantity available 2

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From the publisher

This textbook provides a self-contained introduction to linear programming using MATLAB(R) 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, 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. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming.

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