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Optimization Methods for Unconstrained Functions of Several Variables

        

Optimization Methods for Unconstrained Functions of Several Variables

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Direct search methods including the simplex, the Hooke-Jeeves and the Powell’s conjugate direction methods, and gradient based methods including steepest descent, Newton, quasi Newton , and conjugate gradient methods.
Material Type: Presentation
Technical Format: PowerPoint
Date Added to MERLOT: April 29, 2009
Date Modified in MERLOT: April 01, 2014
Author:
Send email to salamah@kfupm.edu.sa
Keywords: simplex, quasi Newton, conjugate gradient, conjugate directions, steepest descent, Newton, Hooke-Jeeves

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Primary Audience: College General Ed
Mobile Compatibility: Not specified at this time
Technical Requirements: PowerPoint
Language: English
Cost Involved: no
Source Code Available: no
Accessiblity Information Available: unsure
Creative Commons: unsure

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