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Stable Parametric Programming

Name: Stable Parametric Programming
Brand: Springer
SKU: 9780792371397
Price: 116.16 EUR
Availability: InStock

Автор: S. Zlobec

Език:

Корици: С твърди корици

Издател: Springer

Наличност: Външен склад в ограничено количество

Изпращаме след 13-18 дни

116.16 € 227.18 лв

Optimality and stability are two important notions in applied mathematics. This book is a study of t...

Информация за книгата

Автор

S. Zlobec

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2001

страници

322

EAN

9780792371397

ISBN

0792371399

Enbook ID

05250888

Издател

Springer

Теглоt

1470

Размери

155 x 235 x 21

Пълно описание

Optimality and stability are two important notions in applied mathematics. This book is a study of these notions and their relationship in linear and convex parametric programming models. It begins with a survey of basic optimality conditions in nonlinear programming. Then new results in convex programming, using LFS functions, for single-objective, multi-objective, differentiable and non-smooth programs are introduced. Parametric programming models are studied using basic tools of point-to-set topology. Stability of the models is introduced, essentially, as continuity of the feasible set of decision variables under continuous perturbations of the parameters. Perturbations that preserve this continuity are regions of stability. It is shown how these regions can be identified. The main results on stability are characterizations of locally and globally optimal parameters for stable and also for unstable perturbations. The results are straightened for linear models and bi-level programs. Some of the results are extended to abstract spaces after considering parameters as `controls'. Illustrations from diverse fields, such as data envelopment analysis, management, von Stackelberg games of market economy, and navigation problems are given and several case studies are solved by finding optimal parameters. The book has been written in an analytic spirit. Many results appear here for the first time in book form. §Audience: The book is written at the level of a first-year graduate course in optimization for students with varied backgrounds interested in modeling of real-life problems. It is expected that the reader has been exposed to a prior elementary course in optimization, such as linear or non-linear programming. The last section of the book requires some knowledge of functional analysis.

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