optimistix

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Possibly of interest

1

You are probably aware of this. But on the off chance it wasn't on your radar this might be useful for optimistix: https://github.com/google/autobound

nstarman

Using `optimistix` with an `equinox` model

2

Hi everyone, thanks for the great library and apologies in advance for this basic question. I'm trying to find the true minimum of a small neural network, and I thought...

frostedoyster

Incompatibility with jax 0.4.27

1

Running the basic example produces:  when using the dependencies  Switching to 0.4.26 on both jax and jaxlib removes the error

tjltjl

New line searches

3

- [ ] Hager--Zhang - [ ] Moré--Thunte c.f. also zoom.

patrick-kidger

Zero implicit gradients when using `ImplicitAdjoint` with CG solver

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Hi @patrick-kidger and @packquickly, I was trying to implement the following meta-learning example from jax-opt in optimistix: [Few-shot Adaptation with Model Agnostic Meta-Learning ](https://jaxopt.github.io/stable/notebooks/implicit_diff/maml.html). However, I ran into an issue...

itk22

Extracting intermediate function values/ losses from the solve

4

Dear optimistix team, First of all, thank you for your effort in developing optimistix. I have recently transitioned from JAXOpt, and I love it! I was wondering if it is...

itk22

Incompatibility of least_squares and custom_vjp

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I'm running into some trouble applying `optimistix.least_squares(fn, LevenbergMarquardt(...), x0)` to certain problems. From the error message below, my understanding of the root cause is that forward-mode autodiff cannot be used...

ahwillia

Will constrained optimization be supported?

4

Hi, thank you for the amazing library! I was wondering if minimizing with user-specified bounds, or algorithms like projected gradient descent are supported? If not, what would be the best...

zhouxian

Behavior of BFGS

2

Hi, I'm not sure if this is the desired behavior, but BFGS directly stops if `f(y0) == 0`. As an example : ```python from optimistix import minimise, BFGS, rms_norm import...

NightWinkle

Error in "optimistix/docs/examples /optimise_diffeq.ipynb"

1

Hi, I was trying to run the example given in "optimistix/docs/examples /optimise_diffeq.ipynb". For some reason I am receiving error "--------------------------------------------------------------------------- ValueError Traceback (most recent call last) __________________________________________________________________ Cell 4 line...

KhayrullevJokhongir