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https://issues.apache.org/jira/browse/MATH-998?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13695394#comment-13695394
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Alexander Nozik commented on MATH-998:
--------------------------------------
OK, it is clear about RealVector.
For example something like this:
{code}
interface VetorToDoubleMapping{
double value(RealVector vector)
RealVector gradient(RealVector vector)
}
{code}
Very useful for multivariate optimization like simplex.
And something like this:
{code}
interface VetorToVectorMapping{
RealVector value(RealVector vector)
RealMatrix jacobian(RealVector vector)
}
{code}
I will try to post everything properly next time. Thanks for the comment.
> Minor design suggestions for RealVector and MultivariateDifferentiableFunction
> ------------------------------------------------------------------------------
>
> Key: MATH-998
> URL: https://issues.apache.org/jira/browse/MATH-998
> Project: Commons Math
> Issue Type: Wish
> Affects Versions: 3.1, 3.2
> Reporter: Alexander Nozik
> Priority: Minor
>
> I am working on some kind of data analysis framework and using Math as a
> platform. There are some minor inconveniences in the architecture wich i want
> to note.
> The first problem concerning RealVector clas. It has a lot of features (too
> much from my point of view) but does not implements any simple interface.
> Also it is not connected with geometry package wich is not a problem in my
> case, but seems strange.
> The second problem is MultivariateDifferentiableFunction. It extends
> MultivariateFunction, but since 3.1 it uses DerivativeStructure wich is good
> for symbolic calculations but is not convinient for empirical and user
> defined functions. Perhaps it would be usefull to introduce some additional
> interfaces for vector to double and vector to vector differentiable functions?
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