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 book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problem

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.

Optimization happens everywhere. Machine learning is one example of such and gradient descent is probably the most famous algorithm for performing optimization.

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution