Homotopy and Augmented Lagrangian Method
-- Implementation from Fixed-Point MPUs to Many-Core CPUs/GPUs
Allen Y. Yang, Arvind Ganesh, Zihan Zhou,
Andrew Wagner, Victor Shia, Shankar Sastry, and Yi Ma
Notice: It is important that you
read and understand the copyright of the following software packages as
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This project is partially supported by NSF TRUST Center at UC Berkeley, ARO MURI W911NF-06-1-0076, ARL MAST-CTA W911NF-08-2-0004.
The package contains a consolidated implementation of nine l-1 minimization algorithms in MATLAB. Each function uses a consistent set of parameters (e.g., stopping criterion and tolerance) to interface with our benchmark scripts.
The package also contains a script to generate the synthetic data shown in the paper .
|Single-Core l-1 Minimization Library in C
Fixed-Point l-1 Minimization for Mobile Platforms
|Many-Core l-1 Minimization Library in C/CUDA
Other Public l-1