Holistic Numerical Methods

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 MULTI DIMENSIONAL GRADIENT METHOD (CHAPTER 09.04)

 

Theory : Part 1 of 2

 

By Duc Nguyen

TOPIC DESCRIPTION
 
Learn the Multi-Dimensional Gradient Method of optimization via an overview of the gradient based methods, gradient and Hessian of an objective function (with multi-variables).

 

 
ALL VIDEOS FOR THIS TOPIC
 

Multi Dimensional Gradient Method of Optimization: Theory: Part 1 of 2 [YOUTUBE 11:34]

Multi Dimensional Gradient Method of Optimization: Theory: Part 2 of 2 [YOUTUBE 14:33]

Multi Dimensional Gradient Method of Optimization: Example: Part 1 of 2 [YOUTUBE 13:50]

Multi Dimensional Gradient Method of Optimization: Example: Part 2 of 2 [YOUTUBE 04:44]
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 Gradient 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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