Proceedings of the AMS-IMS-SIAM Summer Research Conference held at the University of Washington, July 1995.

Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the

The position taken in this collection of pedagogically written essays is that conjugate gradient algorithms and finite element methods complement each other ext

The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, a

This book details algorithms for large-scale unconstrained and bound constrained optimization. It shows optimization techniques from a conjugate gradient algori