This book presents comprehensive state-of-the-art theoretical analysis of the fundamental Newtonian and Newtonian-related approaches to solving optimization and

A comprehensive treatment of semismooth Newton methods in function spaces: from their foundations to recent progress in the field. This book is appropriate for

This book contains different developments of infinite dimensional convex programming in the context of convex analysis, including duality, minmax and Lagrangian

After more than three decades of research, the subject of complementarity problems and its numerous extensions has become a well-established and fruitful discip

Analyses Lagrange multiplier theory and demonstrates its impact on the development of numerical algorithms for variational problems in function spaces.