|Day 1 of 1|
|Running an Optimization|
Objective: Understand the basic structure and process of solving optimization problems effectively. Use interactive tools to define and solve optimization problems.
|Specifying the Objective Function|
Objective: Implement an objective function as a function file. Use function handles to specify objective functions and extra data.
Objective: Add different kinds of constraints to an optimization problem in MATLAB.
|Choosing a Solver|
Objective: Select an appropriate solver and algorithm by considering the type of optimization problem to be solved.
|Evaluating Results and Improving Performance|
Objective: Interpret the output from the solver and diagnose the progress of an optimization. Increase accuracy and efficiency of an optimization by changing settings.
Objective: Use Global Optimization Toolbox functionality to solve problems where classical algorithms fail or work inefficiently.