pyL1min is a general purpose norm-1 (l1) minimization solver written in Python. It is based on NumPy/SciPy, CVXOPT ( FFTW enabled) to solve l1 minimization problems that are based on interior point methods.

You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software.
The test.py program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. You need to install matplotlib to plot diagrams.

Note: pyL1min can handle complex as well as real vectors.

Project Activity

See All Activity >

Categories

Mathematics

Follow pyL1min

pyL1min Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of pyL1min!

Additional Project Details

Registered

2014-05-05