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Date: Wed, 29 Apr 2015 20:15:07 +0000 (UTC)
From: "Thomas Neidhart (JIRA)" <jira@apache.org>
To: issues@commons.apache.org
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Subject: [jira] [Commented] (MATH-1143) Helper methods to
 FiniteDifferencesDifferentiator
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    [ https://issues.apache.org/jira/browse/MATH-1143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14520131#comment-14520131 ] 

Thomas Neidhart commented on MATH-1143:
---------------------------------------

Examples:

evaluation
{code}
    public static double derivative(UnivariateDifferentiableFunction f, double x, int order) {
        DerivativeStructure ds = f.value(new DerivativeStructure(1, order, 0, x));
        return ds.getPartialDerivative(order);
    }
{code}

derivative function
{code}
    public static UnivariateFunction derivative(final UnivariateDifferentiableFunction f, final int order) {
        return new UnivariateFunction() {

            @Override
            public double value(double x) {
                DerivativeStructure ds = f.value(new DerivativeStructure(1, order, 0, x));
                return ds.getPartialDerivative(order);
            }

        };
    }
{code}

> Helper methods to FiniteDifferencesDifferentiator
> -------------------------------------------------
>
>                 Key: MATH-1143
>                 URL: https://issues.apache.org/jira/browse/MATH-1143
>             Project: Commons Math
>          Issue Type: Improvement
>            Reporter: Alexander Nozik
>            Priority: Trivial
>
> A DerivativeStructure and UnivariateDifferentiableFunction are great tools if one needs to investigate the whole function but are not convenient if one just needs derivative in a given point.
> Perhaps you could add some helper methods to FiniteDifferencesDifferentiator or to utility class like FunctionUtils. Also it would be good to have helper methods to get the derivatives of UnivariateDifferentiableFunction or MultivariateDifferentiableFunction as simple Univariate or Multivariate functions (or vector-functions).


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