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.

Specifying Constraints  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.

Global Optimization  Objective: Use Global Optimization Toolbox functionality to solve problems where classical algorithms fail or work inefficiently.
