An Introduction to Optimization for STEM Students

Optimization methods programmed in Fortran90 and Python. Downloadable notes and codes.
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Udemy
platform
English
language
Engineering
category
instructor
An Introduction to Optimization for STEM Students
184
students
1.5 hours
content
Jan 2024
last update
$34.99
regular price

What you will learn

Basic Techniques in Engineering Optimization

Newtons and Secant methods for one dimensional unconstrained problems.

Golden search bracketed method for one-dimensional unconstrained problems.

Univariate search for multi-dimensional unconstrained problems.

Steepest Ascent Method for multi-dimensional unconstrained problems.

Newton’s Method for a multi-dimensional unconstrained problem.

Lagrange multiplier method for multi-dimensional equality constraint problems.

Lagrange multiplier method for multi-dimensional inequality constraint problems.

Related Topics
2776396
udemy ID
1/24/2020
course created date
5/21/2020
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