matrix-toolkits-java
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fommil
:rocket: High Performance Linear Algebra OOP
Any chance with all of the pointers we will see a sparse matrix slice? ## Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/32167549-slice-linked-sparse-matrix?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github)** We accept bounties via [Bountysource](https://www.bountysource.com/?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github).
This test often fails ## Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/21969634-no-uib-cipr-matrix-symmbandeigenvaluetest-unreliable?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github)** We accept bounties via [Bountysource](https://www.bountysource.com/?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github).
Any plan to introduce a sparse cholesky factorization API ? ## Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/26568368-sparse-cholesky-factorization?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github)** We accept bounties via [Bountysource](https://www.bountysource.com/?utm_campaign=plugin&utm_content=tracker%2F266729&utm_medium=issues&utm_source=github).
We noticed a threading issue with some of our code that uses MTJ and I've isolated the issue to SVD failing under certain conditions. - By failing I mean that...
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](https://github.com/fommil/netlib-java/blob/master/netlib/ARPACK/dsaupd.f) supports the generalized eigenvector problem, but ArpackSym.java...
e.g. (in Scala) ``` scala def pseudoSolve(m: Matrix, b: Vector) = { val svd = SVD.factorize(m) val ps = new BandMatrix(m.numRows(), 0, 0) // calculate pseudo-inverse of sigma svd.getS.zipWithIndex.foreach {...
_Original author: [email protected] (May 16, 2009 11:22:13)_ The API for reading and writing Matrix Market files is both cumbersome and confusing. A simple API would be a welcome improvement. _Original...