Optimization Toolbox™ provides functions for finding parameters that minimize or maximize objectives while satisfying constraints. The toolbox includes solvers for linear programming, mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares. You can use these solvers to find optimal solutions to continuous and discrete problems, perform tradeoff analyses, and incorporate optimization methods into algorithms and applications.
Solve linear and nonlinear least-squares problems, data fittingproblems, and nonlinear equations.Learn more
Discover more about Optimization Toolbox by exploring these resources.
Explore documentation for Optimization Toolbox functions and features, including release notes and examples.
Browse the list of available Optimization Toolbox functions.
View system requirements for the latest release of Optimization Toolbox.
Optimization Toolbox requires: MATLAB
Use Optimization Toolbox to solve scientific and engineering challenges: