Comments (8)
johnmyleswhite
commented on May 16, 2024
Yes, I'd love to transfer ownership to @JuliaOpt. Your test request is fixed by 7c88fa6
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johnmyleswhite
commented on May 16, 2024
I need admin rights for JuliaOpt before I can make the transfer.
When the transfer is complete, we'll want to make sure that I, @timholy and @lindahua all have commit privileges.
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mlubin
commented on May 16, 2024
Cool, I've given you permission to transfer the repo.
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johnmyleswhite
commented on May 16, 2024
Thanks. Done. Is it alright if I announce the new URL on the mailing list?
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mlubin
commented on May 16, 2024
Sure. The URL should also be updated in METADATA. I've set up a team for Optim contributors, and I'll leave you with admin access to manage permissions.
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johnmyleswhite
commented on May 16, 2024
I think I've updated METADATA correctly. I'm a little behind after my week off and may not have interacted correctly with the new branches. I pushed changes to devel.
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mlubin
commented on May 16, 2024
Changes should go to metadata-v2 now.
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johnmyleswhite
commented on May 16, 2024
Thanks! Fixed.
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Related Issues (20)
- What does a constant `Gradient norm` indicate? HOT 1
- Use of `default_options` in `fminbox.jl`?
- Using StaticArrays in NewtonMethod() optimization with simultaneous cost, gradient and hessian calculation HOT 1
- Restart and store trace HOT 2
- Docstring for `optimize` HOT 1
- For ParticleSwarm, `upper` default to type that errors if `lower` is passed HOT 1
- Differences in brent implementation of brent.jl and brentmin.jl HOT 2
- patch 1.7.4 -> 1.7.5 breaks Accelerated/MomentumGradientDescent() HOT 3
- Hessian being called separately using only_fgh!() HOT 1
- NamedTuple switch broke add_default_options HOT 1
- Verbose option HOT 1
- Optim with BFGS, LBGFS gives wrong result HOT 1
- Not showing candidate solutions? HOT 2
- Interior point Newton violates the non-linear constraint in high-dimensional problems HOT 2
- meaning of f_calls_limit is misleading HOT 7
- BHHH for Likelihood Optimization HOT 3
- Type error when constructing `MultivariateOptimizationResults` when using `Float32` and `IPNewton` HOT 2
- Can Optimize set the cutoff for the value of the objective function? HOT 1
- Noisy optimization HOT 1
- Absolute function tolerance HOT 1
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