Earlier quoted context omitted.
I've been using PROPACK lately to perform SVD on a gigantic matrix, and it kicks ass. It's a fortran and/or MATLAB package for SVD of large sparse or "structured" matrices. http://soi.stanford.edu/~rmunk/PROPACK/ You just have to provide a matrix-vector product function, specify a few parameters (how many singular values to find, should it compute the singular vectors, maximum number of iterations, etc) and it takes…
I'd be interested in trying it out, can you send it my way a la sbuss a cise d ufl d edu Cheers
Ask HN: what linear algebra do you use most often for practical problems?
21–30 of 31 posts
Re: Ask HN: what linear algebra do you use most often for practical problems?
#22I'm using SVD in building a porn recommendation engine. (Very NSFW, and the recommendation engine itself isn't live yet: http://fapseek.com )
Re: Ask HN: what linear algebra do you use most often for practical problems?
#23I'm using SVD in building a porn recommendation engine. (Very NSFW, and the recommendation engine itself isn't live yet: http://fapseek.com )
Re: Ask HN: what linear algebra do you use most often for practical problems?
#24You can save a ton of time by formulating a linear algebra problem as a shortest path problem; you can end up using dijkstra's algorithm to enumerate the possible solutions. http://en.wikipedia.org/wiki/Knapsack_problem
I don't get it (at all). Can you elaborate?
Re: Ask HN: what linear algebra do you use most often for practical problems?
#25Re: Ask HN: what linear algebra do you use most often for practical problems?
#26I'm using SVD in building a porn recommendation engine. (Very NSFW, and the recommendation engine itself isn't live yet: http://fapseek.com )
maybe you could opensource your dataset? ;) (no, no, I'm after votes not images)