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
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
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
Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are b