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Applied Optimization

Applied Optimization

Formulation and Algorithms for Engineering Systems

Ross Baldick

784 pages, parution le 26/04/2006

Résumé

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that they can be solved by existing software. It examines various types of numerical problems and develops techniques for solving them. A number of engineering case studies are used to illustrate in detail the formulation process. The case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form. Five general problem classes are considered: linear systems of equations, non-linear systems of equations, unconstrained optimization, equality constrained optimization, and inequality constrained optimization. The book contains many worked examples and homework exercises and is suitable for students of engineering or operations research taking courses in optimization.

  • Uses case studies to illustrate formulation of problems, emphasizing problem features such as monotonicity, convexity, symmetry, and sparsity
  • Large number of homework exercises and worked examples: solution set available for instructors.
  • Two appendices, of mathematical preliminaries and of proofs, available for downloading

Sommaire

  • Introduction
  • Problems, algorithms, and solutions
  • Transformation of problems
  • Linear Simultaneous Equations:
    • Case studies
    • Algorithms
  • Non-linear Simultaneous Equations:
    • Case studies
    • Algorithms
    • Solution of the case studies
  • Unconstrained Optimization:
    • Case studies
    • Algorithms
    • Solution of the case studies
  • Equality Constrained Optimization:
    • Case studies
    • Algorithms for linear constraints
    • Algorithms for non-linear constraints
  • Inequality Constrained Optimization:
    • Case studies
    • Algorithms for non-negativity constraints
    • Algorithms for linear constraints
    • Solution of the case studies
    • Algorithms for non-linear constraints
    • Solution of the case studies
Voir tout
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Caractéristiques techniques

  PAPIER
Éditeur(s) Cambridge University Press
Auteur(s) Ross Baldick
Parution 26/04/2006
Nb. de pages 784
Format 18 x 25,5
Couverture Relié
Poids 1710g
Intérieur Noir et Blanc
EAN13 9780521855648
ISBN13 978-0-521-85564-8

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