Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17) - Image 1

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Springer Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17)

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Brand: Springer
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This book has grown out of lectures and courses in calculus of variations and optimization taught for many years at the University of Michigan to graduate students at various stages of their careers, and always to a mixed audience of students in mathematics and engineering. It attempts to present a balanced view of the subject, giving some emphasis to its connections with the classical theory and to a number of those problems of economics and engineering which have motivated so many of the present developments, as well as presenting aspects of the current theory, particularly value theory and existence theorems. However, the presentation ofthe theory is connected to and accompanied by many concrete problems of optimization, classical and modern, some more technical and some less so, some discussed in detail and some only sketched or proposed as exercises. No single part of the subject (such as the existence theorems, or the more traditional approach based on necessary conditions and on sufficient conditions, or the more recent one based on value function theory) can give a sufficient representation of the whole subject. This holds particularly for the existence theorems, some of which have been conceived to apply to certain large classes of problems of optimization. For all these reasons it is essential to present many examples (Chapters 3 and 6) before the existence theorems (Chapters 9 and 11-16), and to investigate these examples by means of the usual necessary conditions, sufficient conditions, and value function theory.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1461381673
Category: Books > Subjects > Reference
Domain: Amazon UK
Release Date: 24 October 2011
Listed Since: 12 July 2012

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Springer Optimization―Theory and Applications: Problems with Ordinary Differential Equations: 17 (Stochastic Modelling and Applied Probability, 17)

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