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Optimization Decision Table

The following table is designed to help you choose a solver. It does not address multiobjective optimization or equation solving. There are more details on all the solvers inProblems Handled by Optimization Toolbox Functions.

In this table:

  • *意味着相关的解决者中发现Global Optimization Toolbox(Global Optimization Toolbox)functions (licensed separately from Optimization Toolbox™ solvers).

  • fminconapplies to most smooth objective functions with smooth constraints. It is not listed as a preferred solver for least squares or linear or quadratic programming because the listed solvers are usually more efficient.

  • The table has suggested functions, but it is not meant to unduly restrict your choices. For example,fminconcan be effective on some nonsmooth problems.

  • TheGlobal Optimization Toolboxga(Global Optimization Toolbox)andsurrogateopt(Global Optimization Toolbox)functions can address mixed-integer nonlinear programming problems.

  • The Statistics and Machine Learning Toolbox™bayesopt(Statistics and Machine Learning Toolbox)function can address low-dimensional deterministic or stochastic optimization problems with combinations of continuous, integer, or categorical variables.

Note

This table does not list multiobjective solvers nor equation solvers. SeeProblems Handled by Optimization Toolbox Functionsfor a complete list of problems addressed by Optimization Toolbox functions.

Note

Some solvers have several algorithms. For help choosing, seeChoosing the Algorithm.