Comments (3)
Hey, yes, I should still write the utility functions. Right now the API is more or less similar to ARPACK (a function for matrix -> schur and one that does some post-processing with partial schur -> eigen). The eigs
function in Arpack.jl is actually implemented in Julia itself and does more or less what you have there.
from arnoldimethod.jl.
Here is the version that is working for me in LG.
function eigs(A; kwargs...)
schr =partialschur(A; kwargs...)
vals, vectors = partialeigen(schr[1])
reved = (kwargs[:which] == LR() || kwargs[:which] == LM())
k = get(kwargs, :nev, length(vals))
k = min(k, length(vals))
perm = 1:k
if vals[1] isa(Real)
perm = sortperm(vals, rev=reved)
perm = perm[1:k]
end
λ = vals[perm]
Q = vectors[:, perm]
return λ, Q
end
I can make a PR. I don't know about the other corner cases. These work for my needs which are mostly limited to Adjacency and Laplacian Matrices of graphs.
from arnoldimethod.jl.
So, the order of the eigenvalues has been fixed now when calling partialschur
. Also the eigenvalues appear in the PartialSchur
struct as decomp.eigenvalues
. Further, partialeigen
retains the order.
In the end eigs
is basically no different from calling partialeigen(partialschur(...)[1])
then. I would be fine with a PR that implements this! Maybe it's good to throw when the method did not converge (?).
from arnoldimethod.jl.
Related Issues (20)
- UUID mismatch in Project.toml and JuliaRegistries/General Package.toml HOT 1
- TagBot trigger issue HOT 9
- matrix-free example HOT 6
- Move to JuliaLinearAlgebra HOT 3
- outdated page link HOT 4
- partialschur finds only one of three degenerate eigenvectors HOT 13
- partial_schur not respecting argument nev HOT 4
- Improved & early locking of converged Ritz vectors HOT 1
- Error tagging new release
- Steer convergence HOT 1
- Use a Krylov-Schur implementation to make life easier HOT 1
- Overly strict type constraint in partialeigen HOT 1
- Eigenvalues of rank deficient matrices are not sorted correctly. HOT 4
- Handle some edge cases better
- Feature request: Allow an initial start-vector HOT 11
- Feature Request -- support for Lanczos HOT 7
- Incorrect results HOT 13
- BigFloat matrix in partialschur() does not work HOT 9
- Segmentation fault when asking for zero eigenvalues HOT 1
- Eigenvalues are sorted in Julia 1.2, breaking the tests here
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from arnoldimethod.jl.