Optimization Using Pattern Search Method: MATLAB Programming
4.2 (118 ratings)
18,956 students enrolled

# Optimization Using Pattern Search Method: MATLAB Programming

A Quick Way to Learn and Solve Optimization Problems in MATLAB. A Course for Beginners.
New
4.2 (118 ratings)
18,956 students enrolled
Created by Dr. Karthik K
Last updated 6/2020
English
English
Current price: \$13.99 Original price: \$19.99 Discount: 30% off
23 hours left at this price!
30-Day Money-Back Guarantee
This course includes
• 1 hour on-demand video
• 1 Practice Test
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• Running direct search optimization problems in MATLAB
• Specifying objective functions
• Specifying constraints
• Vectorizing objective function and constraints
• Obtaining local and global optima
• Parallel computing
Course content
Expand all 21 lectures 48:59
+ Direct/Pattern Search with MATLAB
14 lectures 38:39
How Pattern Search Works?
02:47
What is Direct/Pattern Search ?
00:28
Unconstrained Pattern Search Minimization
02:58
Pattern Search with a Linear Inequality Constraint
02:46
Pattern Search with a Linear Equality Constraint
03:36
Pattern Search with Bounds
03:15
Pattern Search with Nonlinear Constraints
02:30
Obtain Function Value And Minimizing Point
01:40
Using a Complete Poll in a Generalized Pattern Search
04:50
Vectorize the Objective and Constraint Functions
01:48
Compute in Parallel
02:03
Maximizing an Objective Function
02:05
Stopping Criteria
05:09
Exit Flag and Output
02:44
Quiz on Optimization
5 questions
Practice test on optimization
6 questions
Requirements
• MATLAB installed in your laptop/desktop computer
Description

This course introduces applied direct search optimization in the MATLAB environment, focusing on using Global Optimization Toolbox. Various kinds of optimization problems are solved in this course. At the end of this course, you will be able to solve the optimization problems using the MATLAB. The complete MATLAB programs included in the class are also available for download.  Happy learning.

NB: This course is designed most straightforwardly to utilize your time wisely.

Who this course is for:
• Anyone who is interested to solve optimization problems.
• Researchers who want to publish ISI papers in this field.
• Students who are working on optimization problems.