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MATLAB-在optimoptions和optimset之间进行选择 Choose Between optimoptions and optimset

Choose Between optimoptions and optimset
在optimoptions和optimset之间进行选择
原文链接:https://ww2.mathworks.cn/help/optim/ug/optimoptions-and-optimset.html
可使用网页自带的微软翻译进行翻译,加粗表示有二级菜单。

以前, 建议的设置选项的方法是使用optimset。现在的一般建议是使用optimoptions, 下面列出了一些注意事项。

optimset依旧有效, 并且它是为求解器设置选项的唯一方法, 这些选项在没有Optimization Toolbox优化工具箱™许可证的情况下可用: fminbnd、 fminsearch、 fzero和lsqnonneg.

注意
其他一些工具箱使用优化选项, 并要求您传入optimset集 (而不是optimoptions创建的选项。检查工具箱的文档。、

optimoptions通过求解器组织选项, 比optimset更有针对性和更全面的显示:

  1. 仅创建和修改应用于求解器的选项
  2. 显示特定算法的选项选择和默认值
  3. 显示有关求解器选项和其他可用求解器算法的详细信息的链接

intlinprog仅使用optimoptions。

创建选项的主要区别在于:

  1. 对于optimoptions, 可以将求解器名称作为第一个参数。
options = optimoptions(SolverName,Name,Value,...)
  1. 对于optimset, 语法不包括求解器名称。
options = optimset(Name,Value,...)

在这两种情况下, 都可以使用点表示法查询或更改选项。请参阅 Set and Change Options设置和更改选项View Options查看选项.

例如,optimoptions的显示与optimset的显示进行比较.

options = optimoptions(@fminunc,'SpecifyObjectiveGradient',true)

options = 

  fminunc options:

   Options used by current Algorithm ('trust-region'):
   (Other available algorithms: 'quasi-newton')

   Set properties:
    SpecifyObjectiveGradient: 1

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

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



options = optimset('GradObj','on')
options = 

  struct with fields:

                   Display: []
               MaxFunEvals: []
                   MaxIter: []
                    TolFun: []
                      TolX: []
               FunValCheck: []
                 OutputFcn: []
                  PlotFcns: []
           ActiveConstrTol: []
                 Algorithm: []
    AlwaysHonorConstraints: []
           DerivativeCheck: []
               Diagnostics: []
             DiffMaxChange: []
             DiffMinChange: []
            FinDiffRelStep: []
               FinDiffType: []
         GoalsExactAchieve: []
                GradConstr: []
                   GradObj: 'on'
                   HessFcn: []
                   Hessian: []
                  HessMult: []
               HessPattern: []
                HessUpdate: []
          InitBarrierParam: []
     InitTrustRegionRadius: []
                  Jacobian: []
                 JacobMult: []
              JacobPattern: []
                LargeScale: []
                  MaxNodes: []
                MaxPCGIter: []
             MaxProjCGIter: []
                MaxSQPIter: []
                   MaxTime: []
             MeritFunction: []
                 MinAbsMax: []
        NoStopIfFlatInfeas: []
            ObjectiveLimit: []
      PhaseOneTotalScaling: []
            Preconditioner: []
          PrecondBandWidth: []
            RelLineSrchBnd: []
    RelLineSrchBndDuration: []
              ScaleProblem: []
                   Simplex: []
       SubproblemAlgorithm: []
                    TolCon: []
                 TolConSQP: []
                TolGradCon: []
                    TolPCG: []
                 TolProjCG: []
              TolProjCGAbs: []
                  TypicalX: []
               UseParallel: []
;