Skip to main content

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.

Project details


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 hashes)

Uploaded source

Built Distribution

scsprox-0.1.0a2-py2.py3-none-any.whl (12.3 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page