Convex Optimization—Theory, Algorithms and Applications

Discover the groundbreaking insights in "Convex Optimization—Theory, Algorithms and Applications" by Balendu Bhooshan Upadhyay. Scheduled for release in 2025 by Springer Verlag, this comprehensive hardback edition spans 703 pages and delves into the intricate world of optimization. The book expertly covers a wide range of topics, from gradient-based optimization algorithms to innovative metaheuristic approaches like particle swarm optimization. It skillfully navigates the intersection of optimization theory and deep learning, providing readers with fresh research perspectives in artificial intelligence, machine learning, and various modern scientific fields. Whether you are a student, researcher, or professional, this essential resource will enhance your understanding of convex optimization and its applications. Don't miss out on this pivotal addition to your library!