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Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab

By: Material type: TextTextPublication details: Philadelphia Mathematical Optimization Society 2023Edition: 2ndDescription: xii, 351 p. Includes bibliographical reference and indexISBN:
  • 9781611977615
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Summary: Built on the framework of the successful first edition, this book serves as a modern introduction to the field of optimization. The author’s objective is to provide the foundations of theory and algorithms of nonlinear optimization as well as to present a variety of applications from diverse areas of applied sciences. Introduction to Nonlinear Optimization gradually yet rigorously builds connections between theory, algorithms, applications, and actual implementation.
Item type: Textual
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Built on the framework of the successful first edition, this book serves as a modern introduction to the field of optimization. The author’s objective is to provide the foundations of theory and algorithms of nonlinear optimization as well as to present a variety of applications from diverse areas of applied sciences. Introduction to Nonlinear Optimization gradually yet rigorously builds connections between theory, algorithms, applications, and actual implementation.

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