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Moved from former wiki page of the same title (Wiki page was removed).
### Introduction
Stan's linear algebra functions assume dense matrices with no special structure. We intend to add speciali…
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We should be able to implement visualization of symmetric and non-symmetric matrix fields via superquadrics (e.g. [1,2]) with moderate effort. For this we might need some changes to Makie.jl, where we…
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The new [`lineax`](https://docs.kidger.site/lineax) library has a bunch of solvers for linear systems, including GMRES, that would be worth exploring to see if there's any benefit compared to `jax` GM…
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Enable a simulate of full 10.3min observation.
Input:
* same as normal
How:
* Choose a gridding setup that can manage the simulation within 1TB ram.
* If we build row by row this means we need to st…
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LOBPCG is a sparse matrix diagonalization method that produces the minimal eigenvalue. This could possibly be a nice alternative to ARPACK for detecting negative modes? It's worth looking into, anyw…
ExpHP updated
4 years ago
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When generating random matrices to serve as the adjacency matrix for a graph, I sometimes get an error where kmeans fails to run(scipy.cluster.vq.kmeans2 if that matters). The error message is "Matrix…
whock updated
9 years ago
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Matthew,
Hi, I asked previously (in another thread) about warnings, and wanted to double back on it one more time. When running SCAT on a large SNP data set (+6000 loci), I often get the message Wa…
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"spd" is for symmetric positive definite. The problem with "cov_matrix" is that they can be used for precision matrices, too, making the declaration look confusing.
This will also match the functi…
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A few of the manifolds we have (the sphere, symmetric positive definite matrices, and Stiefel manifold) have straightforward complex analogs that appear in statistical applications, and the transforms…
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I am trying to do a linear solve with a poorly conditioned, but not terribly conditioned, matrix Sigma (symmetric, positive definite)
The eigenvalues of Sigma are
```
(:S (la/svd Sigma))
#vect…