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Introduction to the Theory of Nonlinear Optimization de Johannes Jahn

Introduction to the Theory of Nonlinear Optimization

Autor Johannes Jahn
en Limba Engleză Paperback – 3 iul 2021
This book offers an introduction to optimization theory in normed spaces. The topics covered include existence results, various differentiability notions together with optimality conditions, the contingent cone, a generalization of the Lagrange multiplier rule, duality theory, extended semidefinite optimization, and an investigation of linear quadratic and time minimal control problems. The 4th edition of this book has been extensively revised and a new chapter on discrete-continuous optimization has been added. 
This textbook focuses on the fundamentals, with particular emphasis on their application to problems in the calculus of variations, approximation and optimal control theory. The reader is assumed to have a basic grasp of linear functional analysis.
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Specificații

ISBN-13: 9783030427627
ISBN-10: 3030427625
Pagini: 336
Ilustrații: X, 323 p. 51 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Fourth Edition 2020
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction and Problem Formulation.- Existence Theorems for Minimal Points.- Generalized Derivatives.- Tangent Cones.- Generalized Lagrange Multiplier Rule.- Duality.- Application to Extended Semidefinite Optimization.- Extension to Discrete-Continuous Problems.- Direct Treatment of Special Optimization Problems.

Notă biografică

Johannes Jahn is professor emeritus at the Department of Mathematics of the University of Erlangen-Nürnberg (Germany). His research interests are theory and numerical methods in nonlinear optimization, vector optimization and set optimization. Johannes Jahn is the editor of the book series on "Vector Optimization" published with Springer.

Textul de pe ultima copertă

This book offers an introduction to optimization theory in normed spaces. The topics covered include existence results, various differentiability notions together with optimality conditions, the contingent cone, a generalization of the Lagrange multiplier rule, duality theory, extended semidefinite optimization, and an investigation of linear quadratic and time minimal control problems. The 4th edition of this book has been extensively revised and a new chapter on discrete-continuous optimization has been added. 
This textbook focuses on the fundamentals, with particular emphasis on their application to problems in the calculus of variations, approximation and optimal control theory. The reader is assumed to have a basic grasp of linear functional analysis.

Caracteristici

The extensively revised fourth edition of a standard work in its field Covers important areas of nonlinear optimization with particular emphasis on their applications Includes a new chapter on discrete-continuous optimization