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Nonlinear Optimization Theory and Algorithms with Python/MATLAB

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Description

Built on the framework of a successful first edition, this book provides a modern introduction to the field of optimization. It establishes the foundations of theory and algorithms while presenting a variety of applications from diverse areas of applied sciences. The text builds connections between theory, algorithms, and actual implementation through a rigorous approach. Readers can explore topics not typically found in other optimization books, such as optimality conditions in sparsity constraints. This resource is designed to guide users through the complexities of nonlinear optimization using practical tools like Python and MATLAB.

Key Features

Provides a modern introduction to nonlinear optimization theory and algorithms.

Includes practical applications from various areas of the applied sciences.

Connects theoretical foundations with actual implementation using Python and MATLAB.

Covers unique topics like optimality conditions in sparsity constraints.

Developed by the Society for Industrial and Applied Mathematics (SIAM).

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 August 2023
Listed Since
28 April 2023

Barcode

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