DiffEqSensitivity-Review
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ODINN-SciML
A Review of Sensitivity Methods for Differential Equations
- Fixes a bug in the enthalpy inverse function - Initial implementation of a benchmarking loop for comparing adjoint performance TODO: why is checkpointing always slower and requiring more allocations...
@vboussange I am having problems including your bib file into the latex file. I am working in a centralized `bibliography.bib` file that collects all the needed entries among the bibliographies...
Blank issue used to add contributors to the project using the `all-contributors` [bot](https://allcontributors.org).
https://github.com/ODINN-SciML/DiffEqSensitivity-Review/blob/34b2d28f76f236d1e22a5107d1f4a193d0700977/tex/sections/methods-intro.tex#L20 is not clear and unconnected from the rest. It needs more context.
- [ ] The structure in the form of questions in the introduction could be whether improved, or paragraph could simply be concatenated without questions. - [ ] Also, it...
Checkpointing is mentioned in https://github.com/ODINN-SciML/DiffEqSensitivity-Review/blob/34b2d28f76f236d1e22a5107d1f4a193d0700977/tex/sections/software.tex#L131 but introduced later. It should be introduced upstream.
Two points here - [ ] The context for the abstract is quite long. We could synthesize it, going more straight to the point of the paper. I would also...
Check on this post: https://scicomp.stackexchange.com/questions/34202/example-where-autodiff-works-but-symbolic-differentiation-will-not
- `IfElse` is not really used anymore - Don't need to import Flux for `mse`, it is quite a heavy dependency
This thread is to discuss how to introduce symbolic differentiation in the review paper. It may be worth noticing that symbolic differentiation actually gives a different result that AD, specially...
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A Review of Sensitivity Methods for Differential Equations