Large-Scale Convex Optimization

Discover the essential guide to convex optimization with Large-Scale Convex Optimization by Ernest K. Ryu, published by Cambridge University Press in 2022. This comprehensive hardback edition spans 400 pages and offers a unified analysis of first-order optimization methods through the lens of monotone operators.

This book is a must-have resource for graduate students in mathematics, computer science, and engineering. It equips readers with the knowledge to select and design effective splitting methods tailored to their specific problems. Dive into the world of convex optimization and enhance your understanding of algorithms that are crucial in various applications. Whether you're looking to deepen your theoretical knowledge or improve your practical skills, Large-Scale Convex Optimization is the perfect addition to your academic library.