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G'day Adam, Firstly let me thank you for your comments regarding my question. * Adam Kleczkowski <ak133@cam.ac.uk> [040506 10:54]: > This is getting very off-topic (not related directly to GSL), so probably > should be moved to private e-mail rather than being discussed in the GSL > group. I would offer a alternative opinion. This question relates to fitting of data using GSL. If the functionality is not available then a discussion of what is needed will help someone (possibly even me) to write code to implement it. My problem is a particular case of a more general fitting issue. For example a lot of experimental observables have a hard bound on one side of a measurement (excluded due to kinematic constraints) and yet on the other a 1 \sigma error bar which is quite large. Admittedly these results come from a boot strap analysis of a number of measurements and that would be the ideal way to approach this problem. However one doesn't always have access to _all_ the details of a previous measurement... Saying that, I don't want to start an argument over "what is relevant for GSL", but I did want to point out that the real world is somewhat more interesting (and limited) than the idealised cases that have been implemented. :-) Cheers, S.
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