Self-Regularity

Discover the innovative world of optimization with Self-Regularity by Princeton University Press. Published in 2002, this intriguing paperback spans 208 pages, offering a comprehensive framework for understanding primal-dual interior point methods (IPMs) through the lens of self-regularity.

This book skillfully addresses key concepts in linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization challenges, making it an invaluable resource for students, researchers, and professionals in the field. Whether you are delving into mathematical theory or applying practical optimization strategies, Self-Regularity provides the rigorous insight you need. Enhance your understanding and elevate your expertise with this essential title from a respected publisher.