Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB
by Amir Beck
This introduction explores nonlinear optimization through its underlying theory, algorithmic approaches, and MATLAB applications. Amir Beck’s book provides a structured resource for readers beginning their study of nonlinear optimization and for those seeking a practical connection between mathematical concepts and computational methods.
About This Book
Introduction to Nonlinear Optimization presents the subject through theory, algorithms, and applications.
The book focuses on nonlinear optimization and includes MATLAB as part of its practical and computational perspective.
It offers an organized introduction for readers seeking to build their understanding of this area of mathematics and computation.
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