Advances in Geometric Programming

Advances in Geometric Programming PDF Author: Mordecai Avriel
Publisher: Springer Science & Business Media
ISBN: 1461582857
Category : Mathematics
Languages : en
Pages : 457

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Book Description
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.

Advances in Geometric Programming

Advances in Geometric Programming PDF Author: Mordecai Avriel
Publisher: Springer Science & Business Media
ISBN: 1461582857
Category : Mathematics
Languages : en
Pages : 457

Get Book Here

Book Description
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.

Applied Geometric Programming

Applied Geometric Programming PDF Author: Charles S. Beightler
Publisher: John Wiley & Sons
ISBN:
Category : Mathematics
Languages : en
Pages : 612

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Book Description
Constrained optimization problems: basic concepts; Posynomial geometric programming; Practical aspect of G.P. problem-solving; Signomial geometric programming; Tactics for handling posynomial programs with loose constraints and degreess of difficulty; Extensions of geometric programming to non-standard forms; Reversed constraints and transformations to posynomial programs; Solutions of signomial programs through condensation; The underlying primal structure and its use in computation; Selected applications of geometric programming;

Research and Development Progress Report

Research and Development Progress Report PDF Author: United States. Office of Saline Water
Publisher:
ISBN:
Category : Saline water conversion
Languages : en
Pages : 918

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Book Description


Geometric Programming: Theory and Application

Geometric Programming: Theory and Application PDF Author: Richard James Duffin
Publisher:
ISBN:
Category : Engineering design
Languages : en
Pages : 304

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Book Description


SIAM Journal on Applied Mathematics

SIAM Journal on Applied Mathematics PDF Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 716

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Book Description


Generalized Polynomial Programming

Generalized Polynomial Programming PDF Author: Gary Edmund Blau
Publisher:
ISBN:
Category : Programming (Mathematics)
Languages : en
Pages : 448

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Book Description


National Union Catalog

National Union Catalog PDF Author:
Publisher:
ISBN:
Category : Union catalogs
Languages : en
Pages : 660

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Book Description
Includes entries for maps and atlases.

N-dimensional Transportation Problems: Algorithm for Linear Problems and Application of Geometric Programming for Nonlinear Problems

N-dimensional Transportation Problems: Algorithm for Linear Problems and Application of Geometric Programming for Nonlinear Problems PDF Author: Mark Masanobu Mekaru
Publisher:
ISBN:
Category : Linear programming
Languages : en
Pages : 428

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Book Description


Annual Commencement

Annual Commencement PDF Author: Stanford University
Publisher:
ISBN:
Category :
Languages : en
Pages : 556

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Book Description


Convex Optimization

Convex Optimization PDF Author: Stephen P. Boyd
Publisher: Cambridge University Press
ISBN: 9780521833783
Category : Business & Economics
Languages : en
Pages : 744

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Book Description
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.