Introduction to nonlinear optimization

theory, algorithms, and applications with MATLAB

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Introduction to nonlinear optimization
Amir Beck
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Last edited by ImportBot
July 18, 2022 | History

Introduction to nonlinear optimization

theory, algorithms, and applications with MATLAB

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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Edition Availability
Cover of: Introduction to Nonlinear Optimization
Introduction to Nonlinear Optimization: Theory, Algorithms and Applications with Python and MATLAB
2023, Society for Industrial and Applied Mathematics
in English
Cover of: Introduction to nonlinear optimization
Introduction to nonlinear optimization: theory, algorithms, and applications with MATLAB
2014, Society for Industrial and Applied Mathematics, Mathematical Optimization Society
in English

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Book Details


Published in

Philadelphia

Table of Contents

Mathematical preliminaries
Optimality conditions for unconstrained optimization
Least squares
The gradient method
Newton's method
Convex sets
Convex functions
Convex optimization
Optimization over a convex set
Optimality conditions for linearly constrained problems
The KKT conditions
Duality.

Edition Notes

Includes bibliographical references (pages 277-279) and index.

Series
MOS-SIAM series on optimization

Classifications

Dewey Decimal Class
519.6
Library of Congress
QA402.5 .B4224 2014

The Physical Object

Pagination
xii, 282 pages
Number of pages
282

ID Numbers

Open Library
OL31035542M
ISBN 13
9781611973648
LCCN
2014029493

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 18, 2022 Edited by ImportBot import existing book
November 13, 2020 Created by MARC Bot Imported from Library of Congress MARC record.