Introduction to nonlinear optimization: Theory, algorithms, and applications with python and matlab
- 2nd
- Philadelphia Mathematical Optimization Society 2023
- xii, 351 p. Includes bibliographical reference and index
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.