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RESEARCH PAPERS: Design Automation Papers

Recent Advances in Gradient Based Unconstrained Optimization Techniques for Large Problems

[+] Author and Article Information
D. F. Shanno

Department of Management Information Systems, College of Business and Public Administration, University of Arizona, Tucson, Ariz. 85721

J. Mech., Trans., and Automation 105(2), 155-159 (Jun 01, 1983) (5 pages) doi:10.1115/1.3258501 History: Received July 06, 1981; Online November 19, 2009

Abstract

The paper surveys recent results in conjugate gradient methods, variable storage variable metric methods, sparse variable metric and finite difference Newton methods, and truncated Newton methods. Both computational and theoretical results will be discussed, as well as currently distributed software.

Copyright © 1983 by ASME
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