An edition of Introduction to nonlinear optimization
(2014)
Introduction to nonlinear optimization
theory, algorithms, and applications with MATLAB
by Amir Beck
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1
Introduction to Nonlinear Optimization: Theory, Algorithms and Applications with Python and MATLAB
2023, Society for Industrial and Applied Mathematics
in English
1611977614 9781611977615
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Introduction to nonlinear optimization: theory, algorithms, and applications with MATLAB
2014, Society for Industrial and Applied Mathematics, Mathematical Optimization Society
in English
1611973643 9781611973648
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Book Details
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.
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| July 18, 2022 | Edited by ImportBot | import existing book |
| November 13, 2020 | Created by MARC Bot | import new book |