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Dear David,
Thank you so much for this amazing work. I wasn't sure where to ask this question, so I'll ask it here.
It appears to me that SE-Sync is faster and more efficient than SRA given the …
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The Block Krylov Method is potentially unstable in floating-point arithmetic, https://arxiv.org/pdf/2002.01387.pdf (see algorithm 10). A Block Lanczos method can be implemented (algorithm 11 or anothe…
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I'm trying to use `gmres`, and I'm wondering why the method can sometimes terminate with a preconditioner when the residuals are still quite large?
```julia
using IterativeSolvers, AlgebraicMultig…
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Study and consider implementing this approach:
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/5573
There might be something to do about the interpretation of the resulting vectors in te…
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I just wanted to get some clarity on something within the documentation. In particular, I'm trying to understand what the **GPyTorch syntax** means for "Approximate GP". I saw two examples within the …
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In relation to #90, and through [discussions on Gitter](https://gitter.im/JuliaDiffEq/Lobby?at=5986fad645fc670746fc69a7), there is an idea of creating a dual interface to the solvers for linear proble…
jagot updated
4 years ago
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Consider the following matrix:
```julia
>>> A = zeros(15,15);
>>> A[[ 2, 16, 18, 32, 49, 50, 51, 52, 56, 64, 66, 68, 72,
79, 80, 84, 88, 94, 98, 99, 101, 110, 112, 113, …
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Hey, I saw that you added some phiv calculations and was wondering if you tested against ExponentialUtilities.jl to see if there's anything we should upstream for use in DifferentialEquations.jl. FWIW…
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Hi,
As a continuation of the discussion in https://github.com/ITensor/ITensors.jl/issues/98 regarding using KrylovKit, I just wanted to update that I implemented TDVP using ITensors + KrylovKit.exp…
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Hi,
I am convinced that we should go to 2nd order methods, those which actively repel saddles like SFN, but it seems they are not used (?) nearly 5 years after the paper.
Do you maybe know what is t…