-
I've run into an issue where I want to compute the gradient of an implicit function that itself depends on another implicit function. I can do the operation successfully with `FowardDiff`, however I …
-
Currently, values for the llh, gradient, the computed trajectories of states and observables, or the sensitivities are checked in unit tests.
Unfortunately, some bugs, such as incorrect Jacobians or …
-
The current implementation of adjoint sensitivities is functional, but very poorly optimized. Currently it just evaluates the full derivative function for the domain and then extracts the one derivati…
-
Forward/Adjoint Sensitivity
-
Sometimes, one wants to have hierarchically optimized parameters (e.g. sigmas), but also confine them to some box constraints [lb ub]. Therefore, having computed the optimal parameters in the inner lo…
-
Hello,
I tried using the adjoint-family integrators to obtain sensitivities of an arbitrary cost functional
![](https://latex.codecogs.com/gif.latex?%5Cbegin%7Balign*%7D%20%5CPsi%28%5Cvec%7Bp%7D%29%…
-
Use sensitivities to calculate the Jacobian of the cost function in order to speed up the fitting. See [this notebook](https://github.com/pybamm-team/workshop-notebooks/blob/main/2021-09-workshop/Sess…
-
From @dngoldberg in #329
I don't think this is an outright bug, but i think a change in expected usage. I recently used gentim2d and adjoint sensitivities are not being written to the file specif…
-
-
### Description
at the moment simulation is a specific to the battery models and experiment class within pybamm. I'd like to propose a simpler, more general purpose mechanism so that a sequence of …