Stat Assembly > Stat Assembly Classes > SmNonLinearOptimization
Assembly: Stat;
Namespace: Prognoz.Platform.Interop.Stat;
The SmNonLinearOptimization class implements algorithm of optimization for an arbitrary function under non-linear constraints.
The SmNonLinearOptimization class is used to solve function minimization problem.
Class to get analog of the SmNonLinearOptimization class:
None;
Class to get analog of the SmNonLinearOptimization class object:
SmNonLinearOptimizationClass;
Property name | Brief description | |
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The Boundary property determines definition area parameters. | |
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The Callback property determines the custom class for calculating values of variables, criterion function and non-linear constraints. | |
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The CoefficientsOrder property determines the coefficients order. | |
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The FunctionGradient property returns criterion function gradient that corresponds to the found solution. | |
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The FunctionString property determines criterion function. | |
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The InitApproximation property determines initial approximations. | |
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The InitApproximationActual property returns actually used initial approximations. | |
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The IntVec property determines array of integer variable attributes. | |
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The LindoSettings property returns parameters of the LINDO unit. | |
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The LinearConstraints property determines parameters of linear constraints. | |
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The MaxIteration property determines the maximum number of iterations, within which the solution is found. | |
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The NonLinearConstraints property determines parameters of non-linear constraints. | |
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The ObjValByIter property returns criterion function values by iterations. | |
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The OptimalFunctionValue property returns the criterion function value that corresponds to the found solution. | |
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The PerformanceInfo property returns information about executed optimization. | |
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The Solution property returns the found solution. | |
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The SolverType property determines the software for solving a non-linear optimization problem. | |
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The Tolerance property determines accuracy. | |
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The UseDerivatives property determines whether analytical derivatives are used in solution search. |
Property name | Brief description | |
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The DisplayName property returns the displayed method name. | |
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The ErrorByStatus property returns an error message by the error number. | |
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The Errors property returns a message with all the errors and warnings. | |
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The Name property returns the internal method name. | |
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The PerformanceTime property returns method execution time. | |
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The Status property returns the method execution status. | |
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The SupportsR property returns whether statistical method can be calculated via R package. | |
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The UseR property determines whether statistical method is calculated via the R package. | |
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The WarningByStatus property returns a warning text by its number. | |
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The Warnings property returns the warnings that occurred at method calculation. | |
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The WarningsCount property returns the number of warnings that occurred at the method calculation. | |
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The WarningsNumbers property returns numbers of warnings that occurred at the method calculation. |
Method name | Brief description | |
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The ExecuteFromMPI method performs problem's non-linear optimization from specified file by means of LINDO. |
Method Name | Brief description | |
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The Clone method clones a statistical method object. | |
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The Execute method executes a statistical method. | |
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The LoadFromXML method loads statistical method settings from XML code. | |
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The SaveToXML method unloads statistical method settings to XML code. |
See also: