An Introduction to Optimization for STEM Students
Optimization methods programmed in Fortran90 and Python. Downloadable notes and codes.
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184
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1.5 hours
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Jan 2024
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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.
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2776396
udemy ID
1/24/2020
course created date
5/21/2020
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