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.
Nonlinear and multiobjective optimization
Solvers for nonlinear least squares, data fitting, and nonlinear equations
Quadratic and linear programming
Mixed-integer linear programming
Optimization app for defining and solving optimization problems and monitoring solution progress
Acceleration of constrained nonlinear solvers with Parallel Computing Toolbox™