The Linearization Method for Constrained Optimization: 22 (Springer Series in Computational Mathematics) - Tapa blanda

Pshenichnyj, Boris N.

 
9783642634017: The Linearization Method for Constrained Optimization: 22 (Springer Series in Computational Mathematics)

Sinopsis

Techniques of optimization are applied in many problems to economics, automatic control, engineering etc. This book, written by one of the leading specialists of optimization theory, provides a brief yet quite complete exposition of the most effective method of the solution of optimization problems.

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Reseña del editor

Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simp- le structure and comparatively uncomplicated nonlinear pro- blems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessa- ry to develop a complete new arsenal of methods for obtai- ning numerical results in a reasonable time. The lineariza- tion method is one of the fruits of this research of the last 20 years. It is closely related to Newton's method for solving systems of linear equations, to penalty function me- thods and to methods of nondifferentiable optimization. It requires the efficient solution of quadratic programming problems and this leads to a connection with conjugate gra- dient methods and variable metrics. This book, written by one of the leading specialists of optimization theory, sets out to provide - for a wide readership including engineers, economists and optimization specialists, from graduate student level on - a brief yet quite complete exposition of this most effective method of solution of optimization problems.

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Otras ediciones populares con el mismo título

9783540570370: The Linearization Method for Constrained Optimization: v. 22 (Springer Series in Computational Mathematics)

Edición Destacada

ISBN 10:  3540570373 ISBN 13:  9783540570370
Editorial: Springer, 1994
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