L1Packv2: A Mathematica package for minimizing an $\ell_1$-penalized functional

Ignace Loris

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

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 languageEnglish
Pages (from-to)895-902
Number of pages8
JournalComputer Physics Communications
Volume179
Publication statusPublished - 2008

Keywords

  • inverse problem
  • sparsity
  • 1-norm
  • minimization
  • compressed sensing

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