Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences.

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisti

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from divers

Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization in a clear succinct style, supported by