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DIVOutstanding text for graduate students and research workers proposes improvements to existing algorithms, extends their related mathematical theories, and of

This book reviews and discusses recent advances in the development of methods and algorithms for nonlinear optimization and its applications, focusing on the la

The first contemporary comprehensive treatment of optimization without derivatives. This text explains how sampling and model techniques are used in derivative-

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introd

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.