Traces and emergence of nonlinear programming
Traces and emergence of nonlinear programming
Traces and emergence of nonlinear programming
Traces and emergence of nonlinear programming
The book contains reproductions of the most important papers that gave birth to the first developments in nonlinear programming. Of particular interest is W. Karush's often quoted Master Thesis, which is published for the first time. The anthology includes an extensive prelimina…
"This is a thoroughly rewritten and substantially expanded of our best-selling nonlinear programming book. The treatment focuses on iterative algorithms for constrained and unconstrained optimization. Lagrange multipliers and duality, large scale problems, and the interface betw…
The third edition of the book is a thoroughly rewritten version of the 1999 2nd edition. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised. This book provides a comprehensive and accessible presenta…
The third edition of the book is a thoroughly rewritten version of the 1999 2nd edition. New material was included, some of the old material was discarded, and a large portion of the remainder was reorganized or revised. This book provides a comprehensive and accessible presenta…
"This book introduces and explains the mathematics behind convex and linear optimization, focusing on developing insights in problem complexity, modelling and algorithms. Although many introductory books pay little attention to nonlinear optimization, convex problems deserve att…
"This book introduces and explains the mathematics behind convex and linear optimization, focusing on developing insights in problem complexity, modeling and algorithms. Although many introductory books pay little attention to nonlinear optimization, convex problems deserve atte…
"This book introduces and explains the mathematics behind convex and linear optimization, focusing on developing insights in problem complexity, modelling and algorithms. Although many introductory books pay little attention to nonlinear optimization, convex problems deserve att…