?? difffunction.java
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package edu.stanford.nlp.optimization;/** * 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. * * @author <a href="mailto:klein@cs.stanford.edu">Dan Klein</a> * @version 1.0 * @since 1.0 * @see Function */public interface DiffFunction extends Function { /** * Returns the first-derivative vector at the input location. * * @param x a <code>double[]</code> input vector * @return the vector of first partial derivatives. */ double[] derivativeAt(double[] x);}
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