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Over in [opengeophysics/scratchpad](https://github.com/opengeophysics/scratchpad/), @prisae and I have been working on using SimPEG to invert empymod simulations. One piece we wrote to facilitate this…
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All,
As Laplacian could be computed using finite difference techniques (e.g., second derivative or first derivative of the first derivative ) or spectral methods, It will be helpful to mention the t…
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@mlange05 , @navjotk , @ggorman
There is a lot of new finite difference functions (not one liners) required for the adjoint TTI. You can see it in the new notebook. Do you think we want to keep the s…
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I think there is a problem with the `central` difference code.
Here is a simply example:
```
julia> Calculus.derivative(x -> x/(x+ 1.4424183196362515e-9),2e-8,:central)
-39.33717713979761
```
``…
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```julia
julia> function f(x,p)
hess = FiniteDiff.finite_difference_hessian(y -> sum(y.^3), x)
return hess * p
end
f (generic function with 1 method)
julia> x=rand(3)
3-e…
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I'm trying to understand finite different propagation and am looking at the documentation here:
https://opticspy.github.io/lightpipes/manual.html#free-space-propagation
I'm confused by a couple of…
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git commit hash:
commit 13388d1f620c2c4ae849d84d0e3ef7fea40216db
Following are the validation plots to check for correctness of modelVerify for the PACT and poisson examples. Plots are made for …
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## Description
As discussed over in #2839, the ODE methods are not `fvar` compatible, and it would be a significant amount of work to do so. This means that any downstream methods depending on `fva…
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Thank you very much for the great contribution to formalizing scientific computing!
Can you please let me know when we can expect PDE support in SciLean?
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* It should be possible to compute gradients in massively parallel way, i.e. instead of sequentially running parallel calculations for every gradient, N independent serial calculation should be run. I…