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I'd like to add a new problem for the conjugate gradient method for linear systems.
This would be a "medium"/"hard"
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With @amontoison
We'd like to implement a Poisson solver that uses [`Krylov`](https://github.com/JuliaSmoothOptimizers/Krylov.jl) under the hood instead of our custom (preconditioned) conjugate gra…
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This really needs preconditioning, matrices in our field are usually diagonally dominant. This means that preconditioning is hugely helpful as it decreases the total spectral radius that needs to be e…
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I'm trying to write CG with taco, but I'm having difficulties. Here is my starter code, which doesn't compile yet.
```
void conjgrad(taco::Tensor &A, taco::Tensor &b, taco::Tensor &x)
{
taco::F…
sueda updated
7 years ago
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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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```
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…
-
```
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…
-
With efficient `fvp` and `ggnvp` #63 it might be nice to add the Hessian-free optimization algorithm of https://www.cs.toronto.edu/~jmartens/docs/Deep_HessianFree.pdf
This algorithm runs a short co…
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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…
-
```
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…