Optimization Toolbox
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.
开始
Learn the basics of Optimization Toolbox
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
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