Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It cove

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay betw

This well-received book, now in its second edition, continues to provide a number of optimization algorithms which are commonly used in computer-aided engineeri

This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of

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