An Introduction to Optimization for Engineering Students

An Introduction to Optimization for Engineering Students

A basic introduction to optimization methods for engineering students which is often taught as part of an undergraduate-level engineering numerical methods class.  The material covered here is at that level, and includes one-dimensional optimization using Newton's and golden-search methods, multi-dimensional unconstrained optimization using direct and gradient methods, and constrained optimization using Lagrange multipliers.  Students should have basic computer programming skills using a language such as C, C++, Fortran90, MATLAB, or Python, and have a basic knowledge of multivariable calculus and linear algebra.  Course notes and codes (written in Fortran90) are available for download. 

Write your own optimization codes for basic optimization problems in engineering and related fields.

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What you will learn

• Basic Techniques in Engineering Optimization

Rating: 4.05556

Level: Intermediate Level

Duration: 1.5 hours

Instructor: Robert Spall