This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded
Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are pre
This book includes a thorough theoretical and computational analysis of unconstrained and constrained optimization algorithms and combines and integrates the mo
The book is intended for graduate students and researchers in mathematics, computer science, and operational research. The book presents a new derivative-free o
Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the
