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Applied Optimization

Applied Optimization

Applied Optimization

Formulation and Algorithms for Engineering Systems
Ross Baldick, University of Texas, Austin
January 2009
Paperback
9780521100281
$104.00
USD
Paperback
USD
eBook

    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.

    Product details

    January 2009
    Paperback
    9780521100281
    792 pages
    244 × 170 × 40 mm
    1.24kg
    180 b/w illus. 369 exercises
    Available

    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.
    Resources for
    Type
    The Three Introductory Chapters
    Size: 2.21 MB
    Type: application/pdf
    Appendices
    Size: 249.69 KB
    Type: application/pdf
    Non-linear Systems of Equations
    Size: 658.69 KB
    Type: application/pdf
    Linear Systems of Equations
    Size: 648.52 KB
    Type: application/pdf
    Inequality-constrained Optimization II
    Size: 1.05 MB
    Type: application/pdf
    Inequality-constrained Optimization I
    Size: 1.13 MB
    Type: application/pdf
    Equality-constrained Optimization
    Size: 1.21 MB
    Type: application/pdf
    Unconstrained Optimization
    Size: 1.04 MB
    Type: application/pdf
    Errata - only applicable to copies purchased before March 2019
    Size: 99.7 KB
    Type: application/pdf
    Solutions
    Size: 2.23 MB
    Type: application/pdf
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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