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4 edition of Introduction to the theory of nonlinear optimization found in the catalog.

Introduction to the theory of nonlinear optimization

Jahn, Johannes

Introduction to the theory of nonlinear optimization

by Jahn, Johannes

  • 328 Want to read
  • 10 Currently reading

Published by Springer in Berlin, New York .
Written in English

    Subjects:
  • Mathematical optimization,
  • Nonlinear theories

  • Edition Notes

    Includes bibliographical references (p. [253]-274) and index.

    StatementJohannes Jahn.
    Classifications
    LC ClassificationsQA402.5 .J335 2007
    The Physical Object
    Paginationx, 292 p. :
    Number of Pages292
    ID Numbers
    Open LibraryOL23139535M
    ISBN 109783540614074
    LC Control Number2006938674

    Readers will find an elementary introduction to classical nonlinear optimization problems and methods for their solution in this book. The contents start from optimality conditions for unconstrained problems and describe the most common methods for various types of optimization problems (least squares, gradient methods, Newton iteration). This book is available for preorder. This book is available for backorder. There are less than or equal to {{ vailable}} books remaining in stock.

    convex analysis and nonlinear optimization Download convex analysis and nonlinear optimization or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get convex analysis and nonlinear optimization book now. This site is like a library, Use search box in the widget to get ebook that you want.   COMPREHENSIVE COVERAGE OF NONLINEAR PROGRAMMING THEORY AND ALGORITHMS, THOROUGHLY REVISED AND EXPANDED. Nonlinear Programming: Theory and Algorithms—now in an extensively updated Third Edition—addresses the problem of optimizing an objective function in the presence of equality and inequality .

    Download As the Solutions Manual, this book is meant to accompany the maintitle, Nonlinear Programming: Theory and Algorithms, ThirdEdition. This book presents recent developments of keytopics in nonlinear programming (NLP) using a logical andself-contained format. modeling, and financial engineering. This course provides an introduction to the theory and methodology of nonlinear programming. The focus will be on engineering and management science applications of nonlinear optimization. Both single and multi-variable as well as unconstrained and constrained problems are addressed.


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Introduction to the theory of nonlinear optimization by Jahn, Johannes Download PDF EPUB FB2

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.

This book serves as an introductory text to optimization theory in normed spaces. Topics of this book are 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 the investigation of linear quadratic and time minimal control.

A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students.5/5(1).

The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting with the case of differentiable data and the classical results on constrained optimization problems, and continuing with the topic of nonsmooth objects involved in optimization theory, the book concentrates on both theoretical and practical.

This book emerged from the idea that an optimization training should include three basic components: a strong theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and algorithms on actual “real-life” problems. The book is intended to be the basis of such an extensive training.

The book will be of interest to suitably prepared graduate students and researchers who are working on problems in optimal control theory. It may also be of interest to analysts who want to learn something about how functional analysis is used in the theory of optimization." (Brain Borchers, MathDL, April, ).

Introduction to Nonlinear Optimization provides the foundations of the theory of nonlinear optimization, as well as some related algorithms, and presents a variety of applications from diverse areas of applied sciences.

The author combines three pillars of optimization—theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory.

With innovative coverage and a straightforward approach, An Introduction to Optimization, Third Edition is an excellent book for courses in optimization theory and methods at the upper-undergraduate and graduate levels.

It also serves as a useful, self-contained reference for researchers and professionals in a wide array of fields. An Introduction to Nonlinear Optimization Theory by Marius Durea, Radu Strugariu. Publisher: De Gruyter Open ISBN Number of pages: Description: The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization.

Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB Amir Beck This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences.

Introduction to nonlinear optimization: theory, algorithms, and applications with MATLAB / Amir Beck, Technion-Israel Institute of Technology, Kfar Saba, Israel. pages cm.

-- (MOS-SIAM series on optimization) Includes bibliographical references and index. ISBN 1. Mathematical optimization. Nonlinear theories.

MATLAB. I File Size: 2MB. Introduction to Nonlinear Optimization provides the foundations of the theory of nonlinear optimization, as well as some related algorithms, and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization—theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the.

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Berlin ; New York: Springer-Verlag, © (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Johannes Jahn. "This book serves as an introductory text to optimization theory in normed spaces. Topics of this book are 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 the investigation of linear quadratic and time minimal control.

(This is a live list. Edits and additions welcome) Lecture notes: Highly recommended: video lectures by Prof. Boyd at Stanford, this is a rare case where watching live lectures is better than reading a book. * EE Introduction to Linear D.

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"This book offers a very good introduction to differentiable and nondifferentiable nonlinear optimization theory and methods. With no doubt the major strength of this book is the clear and intuitive structure and systematic style of presentation.

Introduction to the Theory of Nonlinear Optimization. Authors (view affiliations) Johannes Jahn; Book. 72 Citations; Calculus of Variations Control Theory Optimal control Optimization Optimization Theory Vector Optimization linear optimization nonlinear optimization.

.Description: This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It presents fundamentals with particular emphasis on the application to problems in the calculus of variations, approximation and.

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization?theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the theory and .