Overview

In 1961, C. Zener, then Director of Science at Westinghouse Corpora- tion, and a member of the U. S. National Academy of Sciences who has made important contributions to physics and engineering, published a short article in the Proceedings of the National Academy of Sciences entitled A Mathe- matical Aid in Optimizing Engineering Design. In this article Zener considered the problem of finding an optimal engineering design that can often be expressed as the problem of minimizing a numerical cost function, termed a generalized polynomial, consisting of a sum of terms, where each term is a product of a positive constant and the design variables, raised to arbitrary powers. He observed that if the number of terms exceeds the number of variables by one, the optimal values of the design variables can be easily found by solving a set of linear equations. Furthermore, certain invariances of the relative contribution of each term to the total cost can be deduced. The mathematical intricacies in Zener's method soon raised the curiosity of R. J. Duffin, the distinguished mathematician from Carnegie- Mellon University who joined forces with Zener in laying the rigorous mathematical foundations of optimizing generalized polynomials. Interes- tingly, the investigation of optimality conditions and properties of the optimal solutions in such problems were carried out by Duffin and Zener with the aid of inequalities, rather than the more common approach of the Kuhn-Tucker theory.

Full Product Details

Author:   Mordecai Avriel
Publisher:   Kluwer Academic Publishers Group
Imprint:   Kluwer Academic / Plenum Publishers
Volume:   21
ISBN:  

9780306403811

ISBN 10:   0306403811
Pages:   460
Publication Date:   31 May 1980
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

1. Geometric Programming in Terms of Conjugate Functions.- 2. Geometric Programming.- 3. Optimality Conditions in Generalized Geometric Programming.- 4. Saddle Points and Duality in Generalized Geometric Programming.- 5. Constrained Duality via Unconstrained Duality in Generalized Geometric Programming.- 6. Fenchel's Duality Theorem in Generalized Geometric Programming.- 7. Generalized Geometric Programming Applied to Problems of Optimal Control: I. Theory.- 8. Projection and Restriction Methods in Geometric Programming and Related Problems.- 9. Transcendental Geometric Programs.- 10. Solution of Generalized Geometric Programs.- 11. Current State of the Art of Algorithms and Computer Software for Geometric Programming.- 12. A Comparison of Computational Strategies for Geometric Programs.- 13. Comparison of Generalized Geometric Programming Algorithms.- 14. Solving Geometric Programs Using GRG: Results and Comparisons.- 15. Dual to Primal Conversion in Geometric Programming.- 16. A Modified Reduced Gradient Method for Dual Posynomial Programming.- 17. Global Solutions of Mathematical Programs with Intrinsically Concave Functions.- 18. Interval Arithmetic in Unidimensional Signomial Programming.- 19. Signomial Dual Kuhn-Tucker Intervals.- 20. Optimal Design of Pitched Laminated Wood Beams.- 21. Optimal Design of a Dry-Type Natural-Draft Cooling Tower by Geometric Programming.- 22. Bibliographical Note on Geometric Programming.

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