Search Results

Mathematical Methods in Optimization of Differential Systems

Download or Read eBook Mathematical Methods in Optimization of Differential Systems PDF written by Viorel Barbu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 271 pages. Available in PDF, EPUB and Kindle.
Mathematical Methods in Optimization of Differential Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 271
Release :
ISBN-10 : 9789401107600
ISBN-13 : 9401107602
Rating : 4/5 (00 Downloads)

Book Synopsis Mathematical Methods in Optimization of Differential Systems by : Viorel Barbu

Book excerpt: 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.


Mathematical Methods in Optimization of Differential Systems Related Books

Mathematical Methods in Optimization of Differential Systems
Language: en
Pages: 271
Authors: Viorel Barbu
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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
Differential Analysis
Language: en
Pages: 0
Authors: T. M. Flett
Categories: Mathematics
Type: BOOK - Published: 2008-11-20 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

T. M. Flett was a Professor of Pure Mathematics at the University of Sheffield from 1967 until his death in 1976. This book, which he had almost finished, has b
Nonlinear Analysis and Global Optimization
Language: en
Pages: 484
Authors: Themistocles M. Rassias
Categories: Mathematics
Type: BOOK - Published: 2021-02-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study
Approximation and Optimization of Discrete and Differential Inclusions
Language: en
Pages: 396
Authors: Elimhan N Mahmudov
Categories: Mathematics
Type: BOOK - Published: 2011-08-25 - Publisher: Elsevier

DOWNLOAD EBOOK

Optimal control theory has numerous applications in both science and engineering. This book presents basic concepts and principles of mathematical programming i
Control and Optimization with Differential-Algebraic Constraints
Language: en
Pages: 351
Authors: Lorenz T. Biegler
Categories: Mathematics
Type: BOOK - Published: 2012-11-01 - Publisher: SIAM

DOWNLOAD EBOOK

A cutting-edge guide to modelling complex systems with differential-algebraic equations, suitable for applied mathematicians, engineers and computational scient
Scroll to top