diff --git a/xdocs/tasks.xml b/xdocs/tasks.xml index b156a9acb..5e646333e 100644 --- a/xdocs/tasks.xml +++ b/xdocs/tasks.xml @@ -1,59 +1,123 @@ - - Tasks: Done And To Do - James Strachan - + + Tasks: Done And To Do + - -
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-This page aims to be a handy reference not only of the work done but also of work pending. -Users who want new features should submit patches to this page. Developers who want to lend -a hand can grab tasks from this page. Everyone can see the progress which is being made. -

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+ This page aims to be a handy reference not only of the work done but + also of work pending for the next planned release. Users who want new + features should submit patches to this page in the unclassified section + of this document. Developers who want to lend a hand can grab tasks from + this page. Everyone can see the progress which is being made. +

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- The following is a list of items still TODO for - Math. Contributions are welcome! -

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+ The following is a list of items still TODO for + Math. Contributions are welcome! +

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  • - Fill Me In! - With A High Priority Task -
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  • + Fill Me In! + With A High Priority Task +
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  • - Fill Me In - With A Medium Priority Task -
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  • + Fill Me In + With A Medium Priority Task +
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  • - Fill Me In - With A Low Priority Task -
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  • + Fill Me In + With A Low Priority Task +
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+ + + Tasklist is based on an email from Phil Steitz on May 21, 2003 +
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  • + Add quantiles (1,5,10,25,50,75,90,95,99) to all Univaraite + implementations and bootstrap confidence intervals to StoredUnivariate + implementations. +
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  • + Add higher order moments to StoredUnivariate (UnivariateImpl + if possible). +
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  • + t-test statistic needs to be added and we should probably add the + capability of actually performing t- and chi-square tests at fixed + significance levels (.1, .05, .01, .001). +
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  • + numerical approximation of the t- and chi-square distributions to + enable user-supplied significance levels. +
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  • + The RealMatrixImpl class is missing some key method implementations. + The critical thing is inversion. We need to implement a numerically + sound inversion algorithm. This will enable solve() and also + support general linear regression. +
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  • + ComplexNumber interface and implementation. The only tricky thing + here is making division numerically sound and what extended value + topology to adopt. +
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  • + Bivariate Regression, corellation. This could be done with simple + formulas manipulating arrays and this is probably what we should aim + for in an initial release. Down the road, we should use the + RealMatrixImpl solve() to support general linear regression. +
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  • + Binomial coefficients An "exact" implementation that is + limited to what can be stored in a long exists. This should be + extended to use BigIntegers and potentially to support logarithmic + representations. +
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  • + Newton's method for finding roots +
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  • + Exponential growth and decay +
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  • + Polynomial Interpolation (curve fitting) +
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  • + Sampling from Collections +
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  • + Addition of a Arithmetic Geometric Mean +
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