Optimization Using Pattern Search Method: MATLAB Programming
Optimization Using Pattern Search Method: MATLAB Programming, available at $44.99, has an average rating of 4.6, with 21 lectures, 2 quizzes, based on 146 reviews, and has 19993 subscribers.
You will learn about Running direct search optimization problems in MATLAB Specifying objective functions Specifying constraints Vectorizing objective function and constraints Obtaining local and global optima Parallel computing This course is ideal for individuals who are Anyone who is interested to solve optimization problems. or Researchers who want to publish ISI papers in this field. or Students who are working on optimization problems. It is particularly useful for Anyone who is interested to solve optimization problems. or Researchers who want to publish ISI papers in this field. or Students who are working on optimization problems.
Enroll now: Optimization Using Pattern Search Method: MATLAB Programming
Summary
Title: Optimization Using Pattern Search Method: MATLAB Programming
Price: $44.99
Average Rating: 4.6
Number of Lectures: 21
Number of Quizzes: 2
Number of Published Lectures: 21
Number of Published Quizzes: 2
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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.
Target Audiences
- 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.
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.
Course Curriculum
Chapter 1: Introduction to Optimization
Lecture 1: Welcome to the course
Lecture 2: Local optima and Global optima
Lecture 3: Single local solution, Multiple local solutions and Single global solution
Chapter 2: Objective or Fitness Functions
Lecture 1: What is Objective Function ?
Lecture 2: MATLAB Script For Single Objective Function
Lecture 3: MATLAB Script For Vectorized Function Call
Lecture 4: Passing Extra Parameters, Fixed Variables, or Data in the Objective Functions
Chapter 3: Direct/Pattern Search with MATLAB
Lecture 1: How Pattern Search Works?
Lecture 2: What is Direct/Pattern Search ?
Lecture 3: Unconstrained Pattern Search Minimization
Lecture 4: Pattern Search with a Linear Inequality Constraint
Lecture 5: Pattern Search with a Linear Equality Constraint
Lecture 6: Pattern Search with Bounds
Lecture 7: Pattern Search with Nonlinear Constraints
Lecture 8: Obtain Function Value And Minimizing Point
Lecture 9: Using a Complete Poll in a Generalized Pattern Search
Lecture 10: Vectorize the Objective and Constraint Functions
Lecture 11: Compute in Parallel
Lecture 12: Maximizing an Objective Function
Lecture 13: Stopping Criteria
Lecture 14: Exit Flag and Output
Instructors
-
Karthik Karunakaran, Ph.D.
Transforming Real-World Problems with the Power of AI-ML
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 4 votes
- 3 stars: 35 votes
- 4 stars: 51 votes
- 5 stars: 52 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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