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Mathematics | Optimization—Theory and Practice

Optimization—Theory and Practice

Forst, Wilhelm, Hoffmann, Dieter

2010, XVIII, 402 p.

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  • Optimization is used in almost all branches of applied sciences today
  • Text appeals to a wide readership because of its real life applications
  • Self-contained text with a rich collection of detailed examples and two-color graphics to assist the reader in full comprehension
  • Book includes many exercises, often supplemented by helpful hints or Matlab/Maple supplements

Optimization is an important field in its own right but also plays a central role in numerous  applied sciences, including operations research, management science, economics, finance, and engineering.

Optimization — Theory and Practice offers a modern and well-balanced presentation of various  optimization techniques and their applications.  The book's  clear structure, sound theoretical basics complemented by insightful illustrations and instructive examples, makes it an ideal introductory textbook and provides the reader with a comprehensive foundation in one of the most fascinating and useful branches of mathematics.

Notable features include:

  • Detailed explanations of theoretic results accompanied by supporting algorithms and exercises, often supplemented by helpful hints or MATLAB®/MAPLE® code fragments;
  • an overview of the MATLAB® Optimization Toolbox and demonstrations of its uses with selected examples;
  • accessibility to readers with a knowledge of multi-dimensional calculus, linear algebra, and basic numerical methods.

Written at an introductory level, this book is intended for advanced undergraduates and graduate students, but may also be used as a reference by academics and professionals in mathematics and the applied sciences.

Content Level » Upper undergraduate

Keywords » MATLAB - Maple - Newton's method - Quasi-Newton method - algebra - algorithms - global optimization - linear algebra - linear optimization - operations research - optimization - tar

Related subjects » Algebra - Computational Science & Engineering - Mathematics - Software Engineering - Theoretical Computer Science

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