Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB, Second Edition
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Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB, Second Edition

by Amir Beck

Mathematics Computer Science Optimization
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A clear introduction to nonlinear optimization theory, algorithms, and applications, with practical examples in Python and MATLAB for students and professionals.

ISBN-13 9781611977615 ASIN 1611977614 Views 56 Publisher SIAM - Society for Industrial and Applied Mathematics Year 2023 Edition 2nd Format Paperback Product Group Book Pages 366 Created March 19, 2026 Updated August 24, 2026
About This Book

This book presents fundamental concepts and methods in nonlinear optimization.

It covers theoretical foundations along with algorithmic approaches and implementation techniques.

Examples and exercises demonstrate applications using Python and MATLAB programming environments.

The text is designed for students and practitioners seeking a structured introduction to the subject.

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I will be using this book for:
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