Improve Problem-Based Organization and Performance
This category provides details of problem-based solutions and gives suggestions for more specialized tasks. For basic tasks and introductory workflows, see Get Started with Problem-Based Optimization and Equations.
The first section discusses ways to improve performance when creating or tuning a problem.
The second section shows how to improve performance when an objective or constraint contains
for
loops.The third section gives tips for using the problem-based approach effectively.
Topics
Set Up Problems for Efficient Solution
- Create Efficient Optimization Problems
Obtain a faster or more accurate solution when the problem has integer constraints, and avoid loops when creating a problem. - Objective and Constraints Having a Common Function in Serial or Parallel, Problem-Based
Save time when the objective and nonlinear constraint functions share common computations in the problem-based approach. - Tune Solution for Analysis
Techniques for effective use of the analysis capabilities in the problem-based approach. - Supply Derivatives in Problem-Based Workflow
How to include derivative information in problem-based optimization when automatic derivatives do not apply. - Effect of Automatic Differentiation in Problem-Based Optimization
Automatic differentiation lowers the number of function evaluations for solving a problem.
Static Analysis
- Static Analysis of Optimization Expressions
Describes static analysis of optimization expressions, a part of thefcn2optimexpr
algorithm. - Create for Loop for Static Analysis
How to create a for loop in separate function for static analysis. - Convert Constraints in for Loops for Static Analysis
How to create a for loop for constraints in separate function for static analysis.
Tips for Problem-Based Setup
- Use Problem-Based Optimize Live Editor Task Effectively
How to use and understand the problem-based Optimize Live Editor task. - Separate Optimization Model from Data
Create reusable, scalable problems by separating the model from the data. - Named Index for Optimization Variables
Create and work with named indices for variables. - Create Initial Point for Optimization with Named Index Variables
Create initial points forsolve
when the problem has named index variables by using thefindindex
function. - Initialize Optimization Expressions
How initialize optimization expressions in functions, and how to recognize that you need to initialize them. - Integer Constraints in Nonlinear Problem-Based Optimization
Learn how the problem-based optimization functionsprob2struct
andsolve
handle integer constraints. - Obtain Generated Function Details
Find the values of extra parameters in nonlinear functions created byprob2struct
. - Output Function for Problem-Based Optimization
Use an output function in the problem-based approach to record iteration history and to make a custom plot.