Holistic Numerical Methods

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 MULTI DIMENSION DIRECT SEARCH METHOD (CHAPTER 09.03)

 

Theory : Part 1 of 1

 

By Duc Nguyen

TOPIC DESCRIPTION
 
Learn the theory of Multi-Dimensional Direct Search methods. It includes a simple concept of sequentially minimizing (or maximizing) the objective function with respect to 1 variable at a time, while holding other variables fixed.

 

 
ALL VIDEOS FOR THIS TOPIC
 

Multi Dimensional Direct Search Method of Optimization: Theory [YOUTUBE 13:37]

Multi Dimensional Direct Search Method of Optimization: Example: Part 1 of 2 [YOUTUBE 13:55]

Multi Dimensional Direct Search Method of Optimization: Example: Part 2 of 2 [YOUTUBE 08:41]
COMPLETE RESOURCES
  Get in one place the following: a textbook chapter, a PowerPoint presentation, individual YouTube lecture videos, worksheets to illustrate the method and its convergence, and multiple-choice questions on Multi Dimensional Direct Search Method.

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Copyrights: University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620-5350. All Rights Reserved. Questions, suggestions or comments, contact kaw@eng.usf.edu  This material is based upon work supported by the National Science Foundation under Grant# Creative Commons License0126793, 0341468, 0717624,  0836981, 0836916, 0836805.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  Other sponsors include Maple, MathCAD, USF, FAMU and MSOE.  Based on a work at http://mathforcollege.com/nm.  Holistic Numerical Methods licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

  

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