fasta

A collection of acceleration schemes for proximal gradient methods for estimating penalized regression parameters described in Goldstein, Studer, and Baraniuk (2016) doi:10.48550/arXiv.1411.3406. Schemes such as Fast Iterative Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009) doi:10.1137/080716542 and the adaptive stepsize rule introduced in Wright, Nowak, and Figueiredo (2009) doi:10.1109/TSP.2009.2016892 are included. You provide the objective function and proximal mappings, and it takes care of the issues like stepsize selection, acceleration, and stopping conditions for you.

Last 30 days

This package has been downloaded 467 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 7,075 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jul 21, 2024 with 216 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.