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## Re: Optimisation of statistic calculations

**From**: |
Ben Pfaff |

**Subject**: |
Re: Optimisation of statistic calculations |

**Date**: |
Wed, 03 Nov 2004 16:24:52 -0800 |

**User-agent**: |
Gnus/5.1006 (Gnus v5.10.6) Emacs/21.3 (gnu/linux) |

John Darrington <address@hidden> writes:
>* 2. Use a generic optimization module. GSL provides one that could be*
>* hooked in to PSPP. Different statistical estimation procedures use*
>* the same backend algorithms (e.g., sorting for nonparametric routines*
>* and Newton-Rhapson for generalized linear models). A single optimizer,*
>* or other backend routines, can eliminate a lot of redundancy.*
>* *
>* I briefly looked at the gsl manual, but couldn't see any mention of*
>* this. Can you give me a reference to where this is documented?*
I think that this is a suggestion about how to reduce code (not
time) redundancy, by taking advantage of algorithms implemented
in GSL. It's a good idea but orthogonal to avoiding doing the
same calculations repeatedly.
--
Ben Pfaff <address@hidden>
Fall 2004 CS140 teaching assistant
CS140 webpage: http://www.stanford.edu/class/cs140