Training - Courses

Objective: Obtain a quick overview of The MathWorks and its family of products, discuss course set-up, materials, and logistics, and provide a "big picture" view of the course ahead.

• "Big picture" view of what you can do with the optimization tools provide by The MathWorks.

Objective: We'll introduce the student to the fundamentals of applied optimization with a focus on realizing optimization in the MATLAB® environment. The student will learn how to formulate an optimization problem and be introduced to the Optimization Tool in MATLAB® via a hands-on example.

• What is optimization?
• Mathematical problem formulation
• Visual illustration of the problem
• Run an optimization using Optimtool
• Interpret the results

Objective: Implementing objective functions in various ways for later use in optimization functions

• The objective function interface
• Coding guidelines
• Objective functions as input
• Function handle data type
• Handles to m-files
• Anonymous functions

Objective: Working with the various constraints in defining an optimization problem

• Types of constraints
• Defining linear constraints
• Bounds and general linear inequalities
• Linear equations
• Defining nonlinear constraints
• Constraint function interface
• Coding guidelines

Objective: The students will gain knowledge of the Optimization Toolbox algorithms to positively influence their performance by choosing appropriate solvers and options

• Algorithm background
• Choosing the toolbox function
• Optimization parameters and options
• Command line functionality
• Understanding the output

Objective: Introduce the students to alternative framework for solving optimization problems provided by the Genetic Algorithms and Direct Search Toolbox.

• Limits of the Optimization Toolbox product
• Introduction to algorithms in the Genetic Algorithms and Direct Search Toolbox product
• Genetic algorithms in depth
• Interpretation of results