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## 🚀 Feature
I want to add batch preconditioned conjugate gradient (including its gradient) to the torch api.
## Motivation
This feature exists in as scipy, as scipy.linalg.cg. I'd like a tor…
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Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
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Using litebird_sim internal destriper, I noticed that the CG algorithm is behaving weirdly when playing with values of the threshold (i.e. the minimum discrepancy between the estimated baselines and t…
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Line 21: uniquely -- is it used to indicate "solely"?
Line 70: patch-based -- not sure what it means. It does not appear to be "standard" terminology.
Line 82, 83: Shur -> Schur
Line 84: it's spe…
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Has anyone implemented a preconditioned conjugate gradient solver using the incomplete Cholesky factorization? I am assuming that giving the function wrappers ic0, ico2 and sv_solve this can be impl…
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The request for using the conjugate gradient (CG) method for minimization was raised recently. Here is what I posted at FOCUS repository about my limited experience of using CG. You can have a look an…
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Hi,
Could you add information about the Preconditioner format.
If one use the Wikipeida convention ([The Preconditioned Conjugate Gradient Method](https://en.wikipedia.org/wiki/Conjugate_gradien…
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## 🚀 Feature
Conjugate gradient descent, and Linear operator as implemented in scipy needs to have a place in pytorch for faster gpu calculations.
## Motivation
Conjugate gradient Descent a…
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When the `basic_lp` test is run with the solver selected as the MKL CG solver (indirect), the solver times out and then the solver status is maximum iterations reached and it doesn't converge. Sample …
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Working with @elise-palethorpe we see that the preconditioned conjugate gradient solver is much slower than expected. See #2654
In particular, benchmarks on solving the Poisson equation on a doubly…