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 | |
The Boundary property determines definition area parameters. | ||
The Callback property determines the custom class for calculating values of variables, criterion function and non-linear constraints. | ||
The CoefficientsOrder property determines the coefficients order. | ||
The FunctionGradient property returns criterion function gradient that corresponds to the found solution. | ||
The FunctionString property determines criterion function. | ||
The InitApproximation property determines initial approximations. | ||
The InitApproximationActual property returns actually used initial approximations. | ||
The IntVec property determines array of integer variable attributes. | ||
The LindoSettings property returns parameters of the LINDO unit. | ||
The LinearConstraints property determines parameters of linear constraints. | ||
The MaxIteration property determines the maximum number of iterations, within which the solution is found. | ||
The NonLinearConstraints property determines parameters of non-linear constraints. | ||
The ObjValByIter property returns criterion function values by iterations. | ||
The OptimalFunctionValue property returns the criterion function value that corresponds to the found solution. | ||
The PerformanceInfo property returns information about executed optimization. | ||
The Solution property returns the found solution. | ||
The SolverType property determines the software for solving a non-linear optimization problem. | ||
The Tolerance property determines accuracy. | ||
The UseDerivatives property determines whether analytical derivatives are used in solution search. |
Property name | Brief description | |
The DisplayName property returns the displayed method name. | ||
The ErrorByStatus property returns an error message by the error number. | ||
The Errors property returns a message with all the errors and warnings. | ||
The Name property returns the internal method name. | ||
The PerformanceTime property returns method execution time. | ||
The Status property returns the method execution status. | ||
The SupportsR property returns whether statistical method can be calculated via R package. | ||
The UseR property determines whether statistical method is calculated via the R package. | ||
The WarningByStatus property returns a warning text by its number. | ||
The Warnings property returns the warnings that occurred at method calculation. | ||
The WarningsCount property returns the number of warnings that occurred at the method calculation. | ||
The WarningsNumbers property returns numbers of warnings that occurred at the method calculation. |
Method name | Brief description | |
The ExecuteFromMPI method performs problem's non-linear optimization from specified file by means of LINDO. |
Method Name | Brief description | |
The Clone method clones a statistical method object. | ||
The Execute method executes a statistical method. | ||
The LoadFromXML method loads statistical method settings from XML code. | ||
The SaveToXML method unloads statistical method settings to XML code. |
See also: