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Dear jax team,
this is just a friendly bump on the implementation of eigendecomposition and batched SVD on GPU. Are you planning on implementing these?
Should I want to implement it myself, wou…
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The default clustering method of JPlag is SpectralClustering, which uses `org.apache.commons.math3.linear.EigenDecomposition` for the eigenvalue decomposition.
EigenDecomposition has a hard-coded …
uuqjz updated
9 months ago
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The eigen-decomposition of symmetric, positive definite matrices should return real and strictly positive eigenvalues.
However, if the matrix has (very?) small entries, some eigenvalues are rounded…
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Every iteration of DFT computes an [eigendecomposition](https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix) at ([line 49](https://github.com/graphcore-research/pyscf-ipu/blob/8c00822b023be9e…
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The [matrixtools.py](https://github.com/sandialabs/pyGSTi/blob/ad0c1a5cbcdf081419d8b68ded0ae0da067da66b/pygsti/tools/matrixtools.py) file is almost 3000 lines long. Some functions in this file are muc…
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### Is your feature request related to a problem? Please describe.
Currently, [eigsh](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.eigsh.html) provides an eigendecompositi…
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I found that 1024 x 1024 size was maximum for the following code. Performance profiling did not yield the reason, as memory of max. 8 max was being used without any evidence of leakage and CPU 1% all …
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For a certain 4x4 symmetric matrix, nalgebra does not compute a correct eigendecomposition. The maximum relative error in the recomposed matrix is 3.4 (so 340% off). As far as I can tell, this is beca…
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I thought it would be nice to add some plotting functionality to animate for metrics. I mentioned this to @acse-ej321 on the last meeting since she showed nice figures in the past.
And potentially …
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When `Eigen::SelfAdjointEigenSolver` (called during KAK decomposition) finds repeated eigenvalues in a matrix, the eigenvectors and their order are not uniquely determined. Rounding errors lead to dif…