Information about optimization data and algorithm parameters. More...

Inheritance diagram for IG.Num.IOptimizationData:

Properties
int	NumParameters `[get, set]`
	Number of parameters. More...

int	NumObjectives `[get, set]`
	Number of objective functions (normally 1 for this type, but can be 0). More...

int	NumConstraints `[get, set]`
	Number of constraints. More...

int	NumEqualityConstraints `[get, set]`
	Number of equality constraints. More...

bool	CopyReferences `[get, set]`
	Indicates whether just references can be copied when setting optimization parameters or results or auxiliary data. If false then deep copy is always be performed. Default is false. More...

IVector	InitialGuess `[get, set]`
	Gets or sets initial guess used in optimization. More...

IVector	InitialStep `[get, set]`
	Gets or sets initial step used in optimization. More...

double	Tolerance `[get, set]`
	Gets or sets the main tolerance (its exact meaning depends on the algorithm in use). More...

int	MaxIterations `[get, set]`
	Gets or sets maximal number of iterations. More...

int	MaxAnalyses `[get, set]`
	Gets or sets maximal number of analyses. More...

Detailed Description

Information about optimization data and algorithm parameters.

Properties on this kind of classes usually have public getters and setters. It is a habit to protect the whole object inside another class, and access individual components by properties and methods that can be more restrictive.

$A Igor Jan08 Jun08;

Property Documentation

int IG.Num.IOptimizationData.NumParameters

getset

Number of parameters.

int IG.Num.IOptimizationData.NumObjectives

getset

Number of objective functions (normally 1 for this type, but can be 0).

int IG.Num.IOptimizationData.NumConstraints

getset

Number of constraints.

int IG.Num.IOptimizationData.NumEqualityConstraints

getset

Number of equality constraints.

bool IG.Num.IOptimizationData.CopyReferences

getset

Indicates whether just references can be copied when setting optimization parameters or results or auxiliary data. If false then deep copy is always be performed. Default is false.

IVector IG.Num.IOptimizationData.InitialGuess

getset

Gets or sets initial guess used in optimization.

IVector IG.Num.IOptimizationData.InitialStep

getset

Gets or sets initial step used in optimization.

double IG.Num.IOptimizationData.Tolerance

getset

Gets or sets the main tolerance (its exact meaning depends on the algorithm in use).

int IG.Num.IOptimizationData.MaxIterations

getset

Gets or sets maximal number of iterations.

int IG.Num.IOptimizationData.MaxAnalyses

getset

Gets or sets maximal number of analyses.

The documentation for this interface was generated from the following file:

igbase/optimization/OptimizationInputData.cs