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Update ArpackSym.java to support the generalized eigenvector problem. #56

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shilad opened this issue Jan 19, 2015 · 4 comments
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@shilad
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shilad commented Jan 19, 2015

Right now MTJ's ArpackSym.java supports A*x = lambda*x.

I'm looking for a fast sparse solver for A*x = lambda*M*x. It looks like dsaupd supports the generalized eigenvector problem, but ArpackSym.java doesn't yet implement it.

Thanks for the excellent library!

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@fommil
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fommil commented Jan 20, 2015

I'd accept a pull request in that area with good tests.

@shilad
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shilad commented Jan 23, 2015

Thanks. I'm attempting to work around it. If I can't, I'll create a PR for it.

@fommil
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fommil commented Jan 23, 2015

that'd be great. Do you know ARPACK and the examples that it comes with? I basically translated the simple symmetric solver into java to get ArpackSym.

@fommil
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fommil commented Jan 23, 2015

(it's probably easer to do than you think... netlib-java should support all the ARPACK routines that you need)

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