SuanShu, a Java numerical and statistical library

com.numericalmethod.suanshu.analysis.function.matrix
Interface RntoMatrix

All Superinterfaces:
Function
All Known Implementing Classes:
AutoCorrelation, AutoCorrelationFunction, AutoCovariance, AutoCovarianceFunction, HessianFunction, JacobianFunction, R1toConstantMatrix, R1toMatrix, R2toMatrix

public interface RntoMatrix
extends Function

This interface represents a Rn → Matrix space function.

The function takes n real arguments and output a real matrix.

 M = f(x1, x2, ..., xn)
 


Nested Class Summary
 
Nested classes/interfaces inherited from interface com.numericalmethod.suanshu.analysis.function.Function
Function.EvaluationException
 
Method Summary
 Matrix evaluate(double... x)
          A RntoMatrix function, f, takes a double array double[], {x0, x1, ..., xn} and maps it to a Matrix, M = f(x0, x1, ..., xn)
 
Methods inherited from interface com.numericalmethod.suanshu.analysis.function.Function
dimension4Domain, dimension4Range
 

Method Detail

evaluate

Matrix evaluate(double... x)
A RntoMatrix function, f, takes a double array double[],
{x0, x1, ..., xn}
and maps it to a Matrix,
M = f(x0, x1, ..., xn)

Parameters:
x - {x} = {x0, x1, ... xn}
Returns:
M = f({x}) as output

SuanShu, a Java numerical and statistical library

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