admmsolver
SpM-lab / admmsolver
Fast and general ADMM (alternating direction method of multipliers) solver
1 1 Open issues / PRsUpdated: 2026-07-18
Overview
A fast and general ADMM solver
Typical use cases
- Solve optimization problems with ADMM
README
A fast and general ADMM solver
Installation
pip3 install admmsolver
Implementation note
How to develop using VS code + docker
- Install
Remote Developmentextension of VS code. - Clone the repository and open the cloned directory by VS code.
- You will be asked if you want to reopen the directory in a container. Say yes!
(The first time you start a docker container, a docker image is built. This takes a few minutes). - Once you login in the container, all required Python packages are pre-installed and
PYTHONPATHis set tosrc. - To run all unit tests and static type checkes by
mypy, use./bin/runtests.sh.
Note:
- The cloned git repository on your host file system is mounted on the working directory in the container. Created files in the container will be persisted even after the container stops.
- The full list of what are installed in the container will be found in
.devcontainer/Dockerfile. - If you customize
Dockerfileand build an image for debugging, execute the command shown below on your host machine.
docker build -f .devcontainer/Dockerfile .
Source: https://github.com/SpM-lab/admmsolver README
Richness
Richness = how many of docs / examples / tests are in place, shown as 0–3 stars (1 star = 1 item; the checklist below is the breakdown). Software listed by hand (without repository data) is not assessed and is left out when filtering by a richness of 1 or more.
- Yes: README
- Yes: LICENSE
- No: docs
- No: examples
- Yes: tests
- No: CITATION
- No: release
Information
- Primary language
- Jupyter Notebook
- Languages
- Jupyter Notebook, Python, Dockerfile, Shell
- License
- MIT
- Provider
- github