com.itemanalysis.psychometrics.optimization

Interface DiffFloatFunction

All Superinterfaces:

FloatFunction

public interface DiffFloatFunction
extends FloatFunction

An interface for once-differentiable double-valued functions over double arrays. NOTE: it'd be good to have an AbstractDiffFunction that wrapped a Function with a finite-difference approximation.

Since:

1.0

Author:

Dan Klein

See Also:

Function

Method Summary

Modifier and Type	Method and Description
float[]	derivativeAt(float[] x) Returns the first-derivative vector at the input location.

Methods inherited from interface com.itemanalysis.psychometrics.optimization.FloatFunction

domainDimension, valueAt

Method Detail

derivativeAt

float[] derivativeAt(float[] x)

Returns the first-derivative vector at the input location.

Parameters:

x - a double[] input vector

Returns:

the vector of first partial derivatives.