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This is needed when incorporating curvature information into optimization
There's PyTorch implementation of symmetric matrix square root op [here](https://github.com/msubhransu/matrix-sqrt) but the…
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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…
-
```
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…
-
~I suspect that this bug is because the cholesky decomposition fills the lower-triangular elements with zeros (as mentioned in @194, and from [here](https://github.com/JuliaArrays/StaticArrays.jl/blob…
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KrylovKit.jl uses an absolute convergence criterion `norm(residual) < tol`. Some packages, like ArnoldiMethod.jl and Arpack.jl, use a slightly different criterion `norm(residual) < tol * |λ|` where `λ…
-
```
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…
-
If we had a true Matrix lerp(), then we could do things like support Hero animations regardless of how transformed the hero was (instead of now, where the Hero and the Navigator have to be axis-aligne…
-
```
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…