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Probably this is not related with the package itself, but I would greatly appreciate your help. I have the same code running in two different computers with the same version of Julia (1.7.2) and Arpac…
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[scipy.linalg.eigh](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.eigh.html) supports solutions to the generalized eigenvalue problem (i.e. when `b is not None`). [jax.scipy.linalg…
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For sparse symmetric 10Kx10K A and B (B is diagonal), generalized problem is solved for the 15 smallest eigenvalues via
+ SymGEigsSolver in 20 secs
+ converting A v = lambda B v into the standard …
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The bug can be easely reproduced using the following input for [C6H3Cl3](https://media.yambo-code.eu/robots/databases/tests/C6H3Cl3.tar.gz) and comparing with `02_ALDA_diago_ws`
N.B.: you need to u…
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```
d, v, nconv = eigs(Symmetric(K), Symmetric(M); nev=neigvs, which=:SM, tol=tol, maxiter=maxiter, explicittransform=:none, check = 1)
```
This call converges for 0.5.3 just fine. No eigenvalues …
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The code below prints:
cvxpy.__version__= 1.1.0a1
installed_solvers: ['CPLEX', 'CVXOPT', 'ECOS', 'ECOS_BB', 'GLPK', 'GLPK_MI', 'OSQP', 'SCS']
optimal value= 32.1560630476085
x.valu…
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Implement the solution for the [general eigenvalue](https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix#Generalized_eigenvalue_problem) problem
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I'm a student who just got my undergraduate degree in math, and I've got an idea for an exciting video (maybe even a series). In 3B1B's video on eigenvectors, he covers the basic idea of vectors that …
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Hi! I'm trying to solve a generalized eigenvalue problem on huge 100kx100k sparse matrices (that are not generally positive definite). I'm using the default shift invert solver. The SparseLU solver th…
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Further to recent discussions about inertia tensor, I've written a C++ function that given an inertia tensor (actually any symmetric matrix), returns the three eigenvalues in order of size. Feel free…