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We are encountering gradients that are incorrect in specific regime. Specifically, we have:
- A custom solver, where the error estimate depends on a second call to the drift function or times
- Ada…
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- Provide the theoretical framework and mathematical formalism that the code is based on, including the use of plane-wave basis sets and pseudopotentials.
- Develop a Block Davidson algorithm for sol…
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## *Repository Creation Request*
Use this to get your experiment repository created or updated on GitHub under Virtual Labs organization.
1. #### Coordinating Institute: IIT Bombay
2. #### Appr…
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Hi, I’m not sure if this is the right place to post my question - I couldn’t find a more suitable option.
Thank you for sharing this great work!
I have a quick question: phono3py typically calc…
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Adapted one-sided differences gives a `NaN` *input* while receiving finite values from the function.
```julia
(jl_yIAkgW) pkg> st
Status `/tmp/jl_yIAkgW/Project.toml`
[26cc04aa] FiniteDifferen…
tpapp updated
5 months ago
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Hi everyone, have a Happy New Year.
We are most of the time using variational circuits that depend on some tunable parameters. We have been using scipy methods to find the optimal parameters, and …
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```def update_weights(inputs, outputs, weights, lr):
original_weights = deepcopy(weights)
temp_weights = deepcopy(weights)
updated_weights = deepcopy(weights)
original_loss = feed…
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Hi, I'm the main dev over at [MethodOfLines.jl](https://github.com/SciML/MethodOfLines.jl), a symbolic Finite Difference PDE Discretizer built on Symbolics and SymbolicUtils.
We're currently using …
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tl;dr The finite_difference methods for the gradient and jacobian (but not hessian) temporarily mutate the input `x` vector in order to compute the derivatives. I think this is unwise since there is n…
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Hi!
I'm the lead developer over at [MethodOfLines.jl](https://github.com/SciML/MethodOfLines.jl), and it's come time for me to implement flux limiters for use when solving Hyperbolic PDEs. In try…