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AuthorBerkovitz, Leonard D. author
TitleOptimal Control Theory [electronic resource] / by Leonard D. Berkovitz
ImprintNew York, NY : Springer New York : Imprint: Springer, 1974
Connect tohttp://dx.doi.org/10.1007/978-1-4757-6097-2
Descript X, 306 p. online resource

SUMMARY

This book is an introduction to the mathematical theory of optimal control of processes governed by ordinary differential eq- tions. It is intended for students and professionals in mathematics and in areas of application who want a broad, yet relatively deep, concise and coherent introduction to the subject and to its relati- ship with applications. In order to accommodate a range of mathema- cal interests and backgrounds among readers, the material is arranged so that the more advanced mathematical sections can be omitted wi- out loss of continuity. For readers primarily interested in appli- tions a recommended minimum course consists of Chapter I, the sections of Chapters II, III, and IV so recommended in the introductory secยญ tions of those chapters, and all of Chapter V. The introductory secยญ tion of each chapter should further guide the individual reader toward material that is of interest to him. A reader who has had a good course in advanced calculus should be able to understand the definiยญ tions and statements of the theorems and should be able to follow a substantial portion of the mathematical development. The entire book can be read by someone familiar with the basic aspects of Lebesque integration and functional analysis. For the reader who wishes to find out more about applications we recommend references [2], [13], [33], [35], and [50], of the Bibliography at the end of the book


CONTENT

I. Examples of Control Problems -- II. Formulation of the Control Problem -- III. Existence Theorems with Convexity Assumptions -- IV. Existence Without Convexity -- V. The Maximum Principle and Some of Its Applications -- VI. Proof of the Maximum Principle -- Bibliographical Notes


Mathematics Computer programming Mathematical optimization Mathematics Optimization Programming Techniques



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