An Introduction to Optimization for STEM Students
Optimization methods programmed in Fortran90 and Python. Downloadable notes and codes.
4.32 (14 reviews)
185
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.
Loading charts...
Related Topics
2776396
udemy ID
24/01/2020
course created date
21/05/2020
course indexed date
Bot
course submited by