当前选项名称和旧选项名称

许多选项名称在 R2016a 中都发生了更改。optimset 仅使用旧的选项名称。optimoptions 既接受旧名称也接受更改后的名称。但是，当您使用旧的名称-值对组设置选项时，optimoptions 会显示当前名称等效值。例如，旧的 TolX 选项等效于当前的 StepTolerance 选项。

options = optimoptions('fsolve','TolX',1e-4)

options = 

  fsolve options:

   Options used by current Algorithm ('trust-region-dogleg'):
   (Other available algorithms: 'levenberg-marquardt', 'trust-region-reflective')

   Set properties:
               StepTolerance: 1.0000e-04

   Default properties:
                   Algorithm: 'trust-region-dogleg'
              CheckGradients: 0
                     Display: 'final'
    FiniteDifferenceStepSize: 'sqrt(eps)'
        FiniteDifferenceType: 'forward'
           FunctionTolerance: 1.0000e-06
      MaxFunctionEvaluations: '100*numberOfVariables'
               MaxIterations: 400
         OptimalityTolerance: 1.0000e-06
                   OutputFcn: []
                     PlotFcn: []
    SpecifyObjectiveGradient: 0
                    TypicalX: 'ones(numberOfVariables,1)'
                 UseParallel: 0

   Show options not used by current Algorithm ('trust-region-dogleg')

下表提供相同的信息。第一个表按旧选项名称的字母顺序列出选项，第二个表按当前选项名称的字母顺序列出选项。这些表仅包括那些存在不同或具有不同值的名称，并且仅列出旧选项和当前选项中存在差异的那些值。有关 Global Optimization Toolbox 求解器中的更改，请参阅R2016a 中的选项变更 (Global Optimization Toolbox)。

按旧名称顺序排列的选项表

旧名称	当前名称	旧值	当前值
`AlwaysHonorConstraints`	`HonorBounds`	`'bounds'`, `'none'`	`true`, `false`
`BranchingRule`	`BranchRule`
`CutGenMaxIter`	`CutMaxIterations`
`DerivativeCheck`	`CheckGradients`	`'on'`, `'off'`	`true`, `false`
`FinDiffRelStep`	`FiniteDifferenceStepSize`
`FinDiffType`	`FiniteDifferenceType`
`GoalsExactAchieve`	`EqualityGoalCount`
`GradConstr`	`SpecifyConstraintGradient`	`'on'`, `'off'`	`true`, `false`
`GradObj`	`SpecifyObjectiveGradient`	`'on'`, `'off'`	`true`, `false`
`Hessian`	`HessianApproximation`	`'user-supplied'`, `'bfgs'`, `'lbfgs'`, `'fin-diff-grads'`, `'on'`, `'off'`	`'bfgs'`, `'lbfgs'`, `'finite-difference'` 当 `HessianFcn` 或 `HessianMultiplyFcn` 非空时将被忽略。
`HessFcn`	`HessianFcn`
`HessMult`	`HessianMultiplyFcn`
`HessUpdate`（在 R2022a 中针对 `fminunc` 进行了更改）	`HessianApproximation`	`"bfgs"`, `"lbfgs"`, `{"lbfgs",Positive Integer}`, `"dfp"`, `"steepdesc"`	`"bfgs"`, `"lbfgs"`, `{"lbfgs",Positive Integer}`
`IPPreprocess`	`IntegerPreprocess`
`Jacobian`	`SpecifyObjectiveGradient`
`JacobMult`	`JacobianMultiplyFcn`
`LPMaxIter`	`LPMaxIterations`
`MaxFunEvals`	`MaxFunctionEvaluations`
`MaxIter`	`MaxIterations`
`MaxNumFeasPoints`	`MaxFeasiblePoints`
`MinAbsMax`	`AbsoluteMaxObjectiveCount`
`PlotFcns`	`PlotFcn`
`RelObjThreshold`	`ObjectiveImprovementThreshold`
`RootLPMaxIter`	`RootLPMaxIterations`
`ScaleProblem`	`ScaleProblem`	`'obj-and-constr'`, `'none'`	`true`, `false`
`SubproblemAlgorithm`	`SubproblemAlgorithm`	`'cg'`, `'ldl-factorization'`	`'cg'`, `'factorization'`
`TolCon`	`ConstraintTolerance`
`TolFun`（用法 1）	`OptimalityTolerance`
`TolFun`（用法 2）	`FunctionTolerance`
`TolFunLP`	`LPOptimalityTolerance`
`TolGapAbs`	`AbsoluteGapTolerance`
`TolGapRel`	`RelativeGapTolerance`
`TolInteger`	`IntegerTolerance`
`TolX`	`StepTolerance`

按当前名称顺序排列的选项列表

当前名称	旧名称	当前值	旧值
`AbsoluteGapTolerance`	`TolGapAbs`
`AbsoluteMaxObjectiveCount`	`MinAbsMax`
`BranchRule`	`BranchingRule`
`CheckGradients`	`DerivativeCheck`	`true`, `false`	`'on'`, `'off'`
`ConstraintTolerance`	`TolCon`
`CutMaxIterations`	`CutGenMaxIter`
`EqualityGoalCount`	`GoalsExactAchieve`
`FiniteDifferenceStepSize`	`FinDiffRelStep`
`FiniteDifferenceType`	`FinDiffType`
`FunctionTolerance`	`TolFun`（用法 2）
`HessianApproximation`（用于 `fmincon`）	`Hessian`	`'bfgs'`, `'lbfgs'`, `'finite-difference'` 当 `HessianFcn` 或 `HessianMultiplyFcn` 非空时将被忽略。	`'user-supplied'`, `'bfgs'`, `'lbfgs'`, `'fin-diff-grads'`, `'on'`, `'off'`
`HessianApproximation` (`fminunc`)（在 R2022a 中针对 `fminunc` 进行了更改）	`HessUpdate`	`"bfgs"`, `"lbfgs"`, `{"lbfgs",Positive Integer}`	`"bfgs"`, `"lbfgs"`, `{"lbfgs",Positive Integer}`, `"dfp"`, `"steepdesc"`
`HessianFcn`	`HessFcn`
`HessianMultiplyFcn`	`HessMult`
`HonorBounds`	`AlwaysHonorConstraints`	`true`, `false`	`'bounds'`, `'none'`
`IntegerPreprocess`	`IPPreprocess`
`IntegerTolerance`	`TolInteger`
`JacobianMultiplyFcn`	`JacobMult`
`LPMaxIterations`	`LPMaxIter`
`LPOptimalityTolerance`	`TolFunLP`
`MaxFeasiblePoints`	`MaxNumFeasPoints`
`MaxFunctionEvaluations`	`MaxFunEvals`
`MaxIterations`	`MaxIter`
`ObjectiveImprovementThreshold`	`RelObjThreshold`
`OptimalityTolerance`	`TolFun`（用法 1）
`PlotFcn`	`PlotFcns`
`RelativeGapTolerance`	`TolGapRel`
`RootLPMaxIterations`	`RootLPMaxIter`
`ScaleProblem`	`ScaleProblem`	`true`, `false`	`'obj-and-constr'`, `'none'`
`SpecifyConstraintGradient`	`GradConstr`	`true`, `false`	`'on'`, `'off'`
`SpecifyObjectiveGradient`	`GradObj` 或 `Jacobian`	`true`, `false`	`'on'`, `'off'`
`StepTolerance`	`TolX`
`SubproblemAlgorithm`	`SubproblemAlgorithm`	`'cg'`, `'factorization'`	`'cg'`, `'ldl-factorization'`

另请参阅

主题

优化选项参考