Fast proximal operators from CVXPY problems with CySCS
Project description
Converts a CVXPY problem and a dict of CVXPY variables to a fast proximal operator object, which uses CySCS to provide fast evaluation, via one-time matrix stuffing, CySCS factorization caching, and automatic warm-starting of variables.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scsprox-0.1.0a2.tar.gz
(7.8 kB
view details)
Built Distribution
File details
Details for the file scsprox-0.1.0a2.tar.gz.
File metadata
- Download URL: scsprox-0.1.0a2.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2d1387cab73628d8ef33c89baabb7e010e6a14ea7d0e9dce17415598f2b57398 |
|
| MD5 | 15684dd207effdb9311c7ca63f180110 |
|
| BLAKE2b-256 | c554edf2ea3c09c51a236ed818b5a14913a90aa8370cdc2ab404e8b8f4face5f |
File details
Details for the file scsprox-0.1.0a2-py2.py3-none-any.whl.
File metadata
- Download URL: scsprox-0.1.0a2-py2.py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 815648388ad06937d750781577eea75f17466ce2e419fe415ecca0ef690e2e8b |
|
| MD5 | 92f88f69ac00e1930719fe266d589943 |
|
| BLAKE2b-256 | 420af9c1ac71df856254e4e0b8353b4c67aa1c60fe90d985f71b059a1c79868f |
