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As I understand it, `es!` gives the Schur decomposition of a matrix by calling MKL [`gees`](https://software.intel.com/content/www/us/en/develop/documentation/mkl-developer-reference-c/top/lapack-rout…
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Here is my numerical problem: I want to compute a Hamiltonian square root of a given skew-Hamiltonian matrix.
The following article [Structure-Preserving Schur Methods for Computing Square Roots of…
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In SumOfSquares, we have pairs of commuting matrices `A`, `B` and need to compute an orthogonal transformation `X` such that `X * A = B * X`. This is implemented in `orthogonal_transformation_to`. It …
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Some applications require an arbitrary sorting of eigenvalues in a Schur decomposition. Currently, `ordschur` supports re-ordering with a logical `select` vector that effectively groups the eigenvalu…
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Aside from the differences of BLAS and LAPACK in Julia and Matlab, it maybe meaningful to compare the algorithms between Julia and Matlab. For instance, `sqrtm` function requires to do a Schur decompo…
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### Is your feature request related to a problem? Please describe.
Hello,
I am currently implementing the subspace iteration algorithm to obtain eigenvalues of a PDE operator [1]. In this algorith…
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With the latest release (v0.13) nalgebra now supports Rust-native implementations of the following matrix factorizations:
> In particular, this release includes pure-rust implementations of the fol…
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Hi there,
I am trying to compute the initial and terminal states of cells from time series experiments with the codes in the attached cellrank_check_script.txt.
It worked when I ran the s…
xyxuq updated
6 months ago
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Hello,
I have a non-symmetric square metric and would like to get an [eigendecomposition](https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix). As far as I see, only symmetric matrices are s…
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I am reading your paper . Your idea of using QR decomposition instead of traditional Schur Complement is awesome. I have run your source code `rootba`. The result image is shown in the end of the iss…