/* * File: VectorizableDifferentiableVectorFunction.java * Authors: Kevin R. Dixon * Company: Sandia National Laboratories * Project: Cognitive Framework Lite * * Copyright April 26, 2006, Sandia Corporation. Under the terms of Contract * DE-AC04-94AL85000, there is a non-exclusive license for use of this work by * or on behalf of the U.S. Government. Export of this program may require a * license from the United States Government. See CopyrightHistory.txt for * complete details. * * */ package gov.sandia.cognition.math.matrix; import gov.sandia.cognition.annotation.CodeReview; /** * A VectorizableVectorFunction that also define a derivative * (this is needed for GradientDescendable). I would recommend using * MultidimensionalLineMinimizationLearning instead of gradients, though * * @author Kevin R. Dixon * @since 1.0 */ @CodeReview( reviewer="Jonathan McClain", date="2006-05-17", changesNeeded=false, comments="Looks good." ) public interface VectorizableDifferentiableVectorFunction extends VectorizableVectorFunction, DifferentiableVectorFunction { }