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Mathematical Methods in Optimization of Differential Systems

Mathematical Methods in Optimization of Differential Systems

Mathematical Methods in Optimization of Differential Systems
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Mathematical Methods in Optimization of Differential Systems Hardback - 1994 - 1994th Edition

by Barbu, Viorel

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Kluwer Academic Pub, 1994. Hardcover. New. 1994 edition. 272 pages. 10.00x6.75x1.00 inches.
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Details

  • Title Mathematical Methods in Optimization of Differential Systems
  • Author Barbu, Viorel
  • Binding Hardback
  • Edition number 1994th
  • Edition 1994
  • Condition New
  • Pages 262
  • Volumes 1
  • Language ENG
  • Publisher Kluwer Academic Pub
  • Publication date 1994
  • Bookseller's Inventory # x-0792331761
  • ISBN 9780792331766 / 0792331761
  • Weight 1.24 lbs (0.56 kg)
  • Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
  • Category Science
  • Library of Congress Catalogue Number 94037359
  • Dewey Decimal Code 003.850
  • Quantity available 2

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Reader reviews for Mathematical Methods in Optimization of Differential Systems

From the publisher

This work is a revised and enlarged edition of a book with the same title published in Romanian by the Publishing House of the Romanian Academy in 1989. It grew out of lecture notes for a graduate course given by the author at the University if Ia i and was initially intended for students and readers primarily interested in applications of optimal control of ordinary differential equations. In this vision the book had to contain an elementary description of the Pontryagin maximum principle and a large number of examples and applications from various fields of science. The evolution of control science in the last decades has shown that its meth- ods and tools are drawn from a large spectrum of mathematical results which go beyond the classical theory of ordinary differential equations and real analy- ses. Mathematical areas such as functional analysis, topology, partial differential equations and infinite dimensional dynamical systems, geometry, played and will continue to play an increasing role in the development of the control sciences. On the other hand, control problems is a rich source of deep mathematical problems. Any presentation of control theory which for the sake of accessibility ignores these facts is incomplete and unable to attain its goals. This is the reason we considered necessary to widen the initial perspective of the book and to include a rigorous mathematical treatment of optimal control theory of processes governed by ordi- nary differential equations and some typical problems from theory of distributed parameter systems.

First line

The modern theory of optimization has extended and developed the classical concept of gradient into several directions in order to treat and solve nonsmooth problems.
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