Matt Haberland

In https://github.com/mdhaber/jacobi/pull/1, @HDembinski and I talked a bit about my plan to add a private elementwise differentiation function. The rationale for writing it rather than just using Jacobi was that...

> I would hazard a guess that `optimize._numdiff.approx_derivative` would offer 90% of what people wanted. Perhaps we could make that public? Sure, that would be great in `optimize` as a...

> I would assume that they would differentiate anything, including the general non-elementwise R^n --> R^m. I think there's a misunderstanding. `jacobian` would be for $\mathbf{R}^n \rightarrow \mathbf{R}^m$ functions. (What...

@chrisb83 It sounded like this looked close to you before, so I thought I'd check in again. Happy New Year!

No, but it looks an unrelated server timeout.

I think it's safe to ignore.

Thanks for the review @chrisb83!

@drew-parsons it looks like that issue was resolved. Does the test pass now?

@cowden do you have time to finish this soon? It should be very easy now that gh-17051 merged, and it would be nice to finish before SciPy 1.10 branches (soon).

@cowden I went ahead and committed my suggestions because I thought we were branching 1.10 this weekend, but it looks like we have until Tuesday. Would you like to revert...