Documentation

Optimization Toolbox

Solve linear, quadratic, integer, and nonlinear optimization problems

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.

Optimization Problem Setup

Choose solver, define objective function and constraints, compute in parallel

Nonlinear Optimization

Solve constrained or unconstrained nonlinear problems with one or more objectives, in serial or parallel

Linear Programming and Mixed-Integer Linear Programming

Solve linear programming problems with continuous and integer variables

Quadratic Programming

Solve problems with quadratic objectives and linear constraints

Least Squares

Solve least-squares (curve-fitting) problems

Systems of Nonlinear Equations

Find roots of sets of nonlinear equations

Optimization Results

Understand solver outputs and improve results