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2 votes
1 answer
133 views

I have recently noticed that when I change the order of the observations in a sparse array, scikit-learn PCA with svd_solver="arpack" returns different floating point numbers. Is this an ...
5 votes
1 answer
103 views

I am trying to solve a generalized eigenvalue problem in Python by translating a MATLAB script. Both A and B are not positive semi definite. In MATLAB, I'm guessing this makes the ARPACK library fall ...
0 votes
1 answer
69 views

I want to do a "matrix-free eigenvalue evaluation" of a unitary matrix using ARPACK package. Unitary matrix comes from a sparse hermitian matrix, something that happens in many-body problem. ...
0 votes
0 answers
87 views

I am trying to link a library against a local build of arpack. I have compiled arpack itself and I have it as a static binary. I then make this build.rs use std::env; use std::path::Path; fn main() { ...
0 votes
1 answer
162 views

I'm trying to write a program that is going to use both Arpack-ng and MKL routines. I was testing the behavior by running a simple code which use a single call to the function dsaupd, which should ...
1 vote
0 answers
127 views

I'm trying to numerically compute the full set of eigenvectors of a large dense matrix, with the freedom to specify the error tolerance and maximum number of iterations. (The default error tolerance ...
2 votes
0 answers
225 views

I have an eigenvalue problem which I would like to solve using SciPy. In this problem it is strongly preferable to use an iterative solver which will return a subset of the (largest/smallest) ...
0 votes
0 answers
208 views

I need to solve generalised eigenvalue problems that stem from solid mechanics (mass/stiffness matrices, (K-l*M)x=0). The systems dimension range from 500k to 15M degrees of freedom. Matrices are real ...
1 vote
1 answer
162 views

I am creating a custom library (written in C++) that does some numerical stuff with ARPACK-NG. The function is wrapped in pybind11 to provide access to the method from Python in a package. I observe ...
2 votes
0 answers
193 views

I have a large Hermitian sparse matrix, and I'd like to get a few of the eigenvalues with the smallest magnitude. I'm using the "eigs" function in Arpack however I get this error message: ...
0 votes
0 answers
84 views

Since nx.eigenvector_centrality_numpy() using ARPACK, is it mean that nx.eigenvector_centrality_numpy() using Arnoldi iteration instead of the basic power method? because when I try to compute ...
0 votes
1 answer
2k views

I am a beginner at Julia. I want to obtain r eigenvalues and eigenvectors of input symmetric n times n matrix X in increasing order. I heard the computational complexity is O(n^2 r). n is around 1000-...
2 votes
1 answer
608 views

Im working with some roughly 100000x100000 hermitian complex sparse-matrices, with roughly 5% of entries populated, and want to calculate the eigenvalues/eigenvectors. Sofar ive been using Arpack.jl ...
2 votes
2 answers
830 views

I'm trying to set up the Smile machine learning library in Java but I'm having some issues getting some dependencies to work. Currently I am on a Fedora machine, but I'd like this to work on any ...
0 votes
1 answer
94 views

I have the same problem described here CVXPY Quadratic Programming; ArpackNoConvergence error. I would like to try the pertubation/trasformation solution, but i have no idea how to perform it. I have ...

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