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qntwrsm / ProximalMethods.jl

Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.
MIT License
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Bug in ADMM algorithm #14

Closed qntwrsm closed 1 year ago

qntwrsm commented 1 year ago

Bug in stopping criteria and residual calculation of the ADMM algorithm

qntwrsm commented 1 year ago

@JuliaRegistrator register

JuliaRegistrator commented 1 year ago

Registration pull request created: JuliaRegistries/General/72595

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.1 -m "<description of version>" b86ba7e556bac4d57700b3b65265dead6d084f20
git push origin v0.1.1