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* '''What was the first question concerning Octave you could not find an answer to rather quickly? ''Of course more than one question can be stated. We try to improve based on this each year! Includes learning how to use it, code, website, GSoC application, …'''''
* '''What was the first question concerning Octave you could not find an answer to rather quickly? ''Of course more than one question can be stated. We try to improve based on this each year! Includes learning how to use it, code, website, GSoC application, …'''''


In my opinion some ideas on the website have very little information. In fact I am interested in sparse matrices as a project for my proposal (taken the idea from the ideas page) but there is almost no explanation of some points.
In my opinion some ideas on the website have very little information. In fact I am interested in sparse matrices as a project for my proposal (taken the idea from the ideas page) but there is almost no explanation of some points I am interested in like :
 
*Improve QR factorization functions, using idea based on CSPARSE cs_dmsol.m
 
*Improve QR factorization by replacing CXSPARSE code with SPQR code, and make the linear solve return 2-norm solutions for ill-conditioned matrices  based on this new code
 
*Implement fourth argument to the sprand and sprandn, and addition arguments to sprandsym that the leading brand implements. (That last one seems to be more a self-TODO-note more than an idea for the student)
 
 
I mean, it would be useful to students that maybe have never worked with such algorithms and libraries a brief description of why do you want to perform that changes. In fact I have discover that the cs_dmsol.m function that implements "coarse Dulmage-Mendelsohn decomposition" is already included in the code file "sparse-dmsolve.cc" (am I wrong?). To sum up a more detailed description would be nice, because for you maybe are 15 minutes more of writing but for us are hours of searching. Thanks :)


== P: Prerequisites ==
== P: Prerequisites ==
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