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Applied Optimization

Applied Optimization
Formulation and Algorithms for Engineering Systems

$116.00

  • Date Published: May 2006
  • availability: Replaced by 9780521100281
  • format: Hardback
  • isbn: 9780521855648

$116.00
Hardback

Replaced by 9780521100281
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  • 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.

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    Product details

    • Date Published: May 2006
    • format: Hardback
    • isbn: 9780521855648
    • length: 786 pages
    • dimensions: 255 x 180 x 40 mm
    • weight: 1.728kg
    • contains: 180 b/w illus. 369 exercises
    • availability: Replaced by 9780521100281
  • Table of Contents

    List of illustrations
    Preface
    1. Introduction
    2. Problems, algorithms and solutions
    3. Transformation of problems
    Part I: Linear simultaneous equations
    4. Case studies
    5. Algorithms
    Part II: Non-linear simultaneous equations
    6. Case Studies
    7. Algorithms
    8. Solution of the case studies
    Part III: Unconstrained optimization
    9. Case studies
    10 Algorithms
    11. Solution of the case studies
    Part IV: Equality-constrained optimization
    12. Case studies
    13. Algorithms for linear constraints
    14. Algorithms for non-linear constraints
    Part V: Inequality-constrained optimization
    15. Case studies
    16. Algorithms for non-negativity constraints
    17. Algorithms for linear constraints
    18. Solution of the linearly constrained case studies
    19. Algorithms for non-linear constraints
    20. Solution of the non-linearly constrained case studies
    References
    Index
    Appendices.

  • View all resources
    Group Section Name Type Size Sort Order filter vars
    ErrataErrata June 2013pdf96KB0errata errata errata
    General ResourcesAppendicesAppendicespdf250KB0appendices general resources appendices general resourcesappendices
    General ResourcesErrataErrata June 2012pdf96KB1errata general resources errata general resourceserrata
    General ResourcesErrataErrata August 2009pdf84KB2errata general resources errata general resourceserrata
    General ResourcesSlidesInequality-constrained Optimization IIpdf1021KB3slides general resources slides general resourcesslides
    General ResourcesSlidesInequality-constrained Optimization Ipdf1080KB4slides general resources slides general resourcesslides
    General ResourcesSlidesEquality-constrained Optimizationpdf1170KB5slides general resources slides general resourcesslides
    General ResourcesSlidesNon-linear Systems of Equationspdf617KB6slides general resources slides general resourcesslides
    General ResourcesSlidesLinear Systems of Equationspdf605KB7slides general resources slides general resourcesslides
    General ResourcesSlidesThe Three Introductory Chapterspdf2199KB8slides general resources slides general resourcesslides
    General ResourcesSlidesUnconstrained Optimizationpdf1023KB9slides general resources slides general resourcesslides
    General ResourcesSolutionsSolutionspdf2223KB10solutions general resources solutions general resourcessolutions
    General ResourcesTeaching MaterialsInequality-constrained optimization IIpdf1122KB11teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsEquality-constrained optimizationpdf1298KB12teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsNon-Linear systems of Equationspdf760KB13teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsLinear Systems of Equationspdf712KB14teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsInequality-constrained optimization Ipdf1202KB15teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsThe Three Introductory Chapterspdf2442KB16teaching materials general resources teaching materials general resourcesteaching materials
    General ResourcesTeaching MaterialsUnconstrained optimizationpdf1348KB17teaching materials general resources teaching materials general resourcesteaching materials
    Instructor ResourcesSolutionsExercise Solutionspdf2313KB0solutions instructor resources solutions instructor resourcessolutions

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  • Author

    Ross Baldick, University of Texas, Austin
    ROSS BALDICK is a professor of electrical and computer engineering at the University of Texas at Austin. His current research involves optimization and economic theory applied to electric power system operations and the public policy and technical issues associated with electric transmission under deregulation. He is an associate editor of IEEE Transactions on Power Systems and the chairman of the System Economics Sub-Committee of the IEEE Power Engineering

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