optimization:C＃中的（非线性）优化算法
（非线性）优化库
该库旨在实现不同的数学优化算法，例如规则和共轭梯度下降。 数学由提供支持。
梯度下降算法
弹性误差梯度下降
共轭梯度下降算法
Hager-Zhang（“ CG_DESCENT”）
Polak-Ribière（支持预处理）
弗莱彻-里夫斯
线搜索算法
割线
具有二次步进的Hager-Zhang
成本函数
残差平方和
文件下载
资源详情
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style='color:#111;'> 626B </span>","children":null,"spread":false},{"title":"lineSearch.m <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false},{"title":"phi.m <span style='color:#111;'> 398B </span>","children":null,"spread":false},{"title":"bracket.m <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"Optimization.sln.DotSettings <span style='color:#111;'> 523B </span>","children":null,"spread":false},{"title":"Optimization","children":[{"title":"NuGet.md <span style='color:#111;'> 710B </span>","children":null,"spread":false},{"title":"Optimization.nuspec <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"NumericExtensions.cs <span style='color:#111;'> 780B </span>","children":null,"spread":false},{"title":"packages.config <span style='color:#111;'> 250B </span>","children":null,"spread":false},{"title":"Optimization.csproj <span style='color:#111;'> 4.27KB </span>","children":null,"spread":false},{"title":"Hypotheses","children":[{"title":"IDifferentiableHypothesis.cs <span style='color:#111;'> 2.85KB </span>","children":null,"spread":false},{"title":"IHypothesis.cs <span style='color:#111;'> 833B </span>","children":null,"spread":false},{"title":"RosenbrockHypothesis.cs <span style='color:#111;'> 9.04KB </span>","children":null,"spread":false},{"title":"LinearHypothesis.cs <span style='color:#111;'> 8.04KB </span>","children":null,"spread":false},{"title":"ITwiceDifferentiableHypothesis.cs <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"UnivariateExponentialHypothesis.cs <span style='color:#111;'> 8.67KB </span>","children":null,"spread":false}],"spread":true},{"title":"GradientDescent","children":[{"title":"Conjugate","children":[{"title":"PolakRibiereCG.cs <span style='color:#111;'> 6.04KB </span>","children":null,"spread":false},{"title":"ConjugateGradientDescentBase.cs <span style='color:#111;'> 3.80KB </span>","children":null,"spread":false},{"title":"HagerZhangCG.cs <span style='color:#111;'> 9.00KB </span>","children":null,"spread":false},{"title":"FletcherReevesCG.cs <span style='color:#111;'> 3.49KB </span>","children":null,"spread":false},{"title":"DoublePrecisionCGBase.cs <span style='color:#111;'> 6.70KB </span>","children":null,"spread":false}],"spread":true},{"title":"IGradientDescent.cs <span style='color:#111;'> 974B </span>","children":null,"spread":false},{"title":"Regular","children":[{"title":"ResilientErrorGD.cs <span style='color:#111;'> 6.96KB </span>","children":null,"spread":false},{"title":"GradientDescentBase.cs <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"IInitialCoefficients.cs <span style='color:#111;'> 607B </span>","children":null,"spread":false},{"title":"IOptimizationProblem.cs <span style='color:#111;'> 654B </span>","children":null,"spread":false},{"title":"Cost","children":[{"title":"ResidualSumOfSquaresCostFunction.cs <span style='color:#111;'> 5.14KB </span>","children":null,"spread":false},{"title":"ICostFunction.cs <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"ITwiceDifferentiableCostFunction.cs <span style='color:#111;'> 956B </span>","children":null,"spread":false},{"title":"IDifferentiableCostFunction.cs <span style='color:#111;'> 910B </span>","children":null,"spread":false},{"title":"FunctionValueOptimization.cs <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false}],"spread":true},{"title":"IOptimizationResult.cs <span style='color:#111;'> 657B </span>","children":null,"spread":false},{"title":"Properties","children":[{"title":"AssemblyInfo.cs <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false}],"spread":false},{"title":"OptimizationProblem.cs <span style='color:#111;'> 1.56KB 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style='color:#111;'> 189B </span>","children":null,"spread":false}],"spread":true},{"title":"OptimizationTests","children":[{"title":"packages.config <span style='color:#111;'> 281B </span>","children":null,"spread":false},{"title":"Hypotheses","children":[{"title":"DualLinearHypothesis.cs <span style='color:#111;'> 6.61KB </span>","children":null,"spread":false},{"title":"LinearHypothesisTests.cs <span style='color:#111;'> 3.70KB </span>","children":null,"spread":false}],"spread":true},{"title":"GradientDescent","children":[{"title":"HagerZhangConjugateGradientDescentTests.cs <span style='color:#111;'> 3.67KB </span>","children":null,"spread":false},{"title":"ConjugateGradientDescentTests.cs <span style='color:#111;'> 13.06KB </span>","children":null,"spread":false},{"title":"ResilientErrorGradientDescentTests.cs <span style='color:#111;'> 8.39KB </span>","children":null,"spread":false}],"spread":true},{"title":"Properties","children":[{"title":"AssemblyInfo.cs <span 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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明