Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab
By: Material type:
TextPublication details: Philadelphia Mathematical Optimization Society 2023Edition: 2ndDescription: xii, 351 p. Includes bibliographical reference and indexISBN: - 9781611977615
Textual
| Item type | Current library | Home library | Status | Barcode | |
|---|---|---|---|---|---|
Textual
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Ratan Tata Library | Ratan Tata Library | Available | RT1528549 |
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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Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab
APA
Beck A., . (2023). Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab. Philadelphia: Mathematical Optimization Society.
Chicago
Beck Amir, . 2023. Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab. Philadelphia: Mathematical Optimization Society.
Harvard
Beck A., . (2023). Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab. Philadelphia: Mathematical Optimization Society.
MLA
Beck Amir, . Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab. Philadelphia: Mathematical Optimization Society. 2023.
