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Abstract
L1Packv2 is a Mathematica package that contains a number of algorithms that can be used for the minimization of an l1-penalized least squares functional. The algorithms can handle a mix of penalized and unpenalized variables. Several instructive examples are given. Also, an implementation that yields an exact output whenever exact data are given is provided.
Original language | English |
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Pages (from-to) | 895-902 |
Number of pages | 8 |
Journal | Computer Physics Communications |
Volume | 179 |
Publication status | Published - 2008 |
Keywords
- inverse problem
- sparsity
- 1-norm
- minimization
- compressed sensing
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Dive into the research topics of 'L1Packv2: A Mathematica package for minimizing an $\ell_1$-penalized functional'. Together they form a unique fingerprint.Activities
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Princeton University (External organisation)
Ignace Loris (Member)
1 Sep 2006 → …Activity: Membership › Membership of external research organisation