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.
Choose solver, define objective function and constraints, compute in parallel
Solve constrained or unconstrained nonlinear problems with one or more objectives, in serial or parallel
Solve linear programming problems with continuous and integer variables
Solve problems with quadratic objectives and linear constraints
Solve least-squares (curve-fitting) problems
Find roots of sets of nonlinear equations
Understand solver outputs and improve results