• L1General

• Referenced in 1 article [sw32150]
• L1General - Matlab code for solving L1-regularization problems.

• l1kdeconv

• Referenced in 0 articles [sw19671]
• R package l1kdeconv. Deconvolution for LINCS L1000 Data. LINCS L1000 is a high-througphput technology that allows the gene expression measurement in a large number of ...

• l1_logreg

• Referenced in 1 article [sw25401]
• l1_logreg: A large-scale solver for l1-regularized logistic regression problems. l1_logreg is an implementation of the interior-point method for l1-regularized logistic regression described in the paper, ...

• l1_ls

• Referenced in 9 articles [sw14267]
• l1_ls: Simple Matlab Solver for l1-regularized Least Squares Problems. l1_ls is a Matlab implementation of the interior-point method for ell_1-regularized least squares described in the ...

• L1-MAGIC

• Referenced in 18 articles [sw12430]
• L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, ...

• L1Packv2

• Referenced in 2 articles [sw00497]
• L1Packv2: A Mathematica package for minimizing an L₁-penalized functional

• L1PMA

• Referenced in 2 articles [sw21492]
• L1PMA: a Fortran 77 package for best L 1 piecewise monotonic data smoothing. Fortran 77 software is presented for the calculation of a best L1 ...

• L1pred

• Referenced in 1 article [sw25075]
• L1pred: A Sequence-Based Prediction Tool for Catalytic Residues in Enzymes with the L1-logreg Classifier. To understand enzyme functions, identifying the catalytic residues is a usual ...

• L1TestPack

• Referenced in 12 articles [sw20470]
• L1TestPack: A software to generate test instances for l_1 minimization problems. L1TestPack consists of several Matlab m-files to generate test instances for the so-called Basis ...

• L2CXCV

• Referenced in 2 articles [sw26952]
• L2CXCV: A Fortran 77 package for least squares convex/concave data smoothing. Fortran 77 software is given for least squares smoothing to data values contaminated by ...

• L2CXFT

• Referenced in 9 articles [sw00498]
• A Fortran subroutine applies the method of {\itI. C. Demetriou} and {\itM. J. D. Powell} [IMA J. Numer. Anal. 11, No. 3, 433--448 (1991; Zbl ...

• L2MCX

• Referenced in 1 article [sw14996]
• L2MCX: a Fortran 77 package for least squares data smoothing by nonnegative divided differences.

• L2P

• Referenced in 0 articles [sw05615]
• L2P - Create PNG images of LaTeX math expressions L2P creates PNG images of mathematical expressions formatted in LaTeX. While it can convert a whole ...

• L2Roe

• Referenced in 7 articles [sw18355]
• L2Roe: A low dissipation version of Roe’s approximate Riemann solver for low Mach numbers. A modification of the Roe scheme called L2Roe for low dissipation ...

• L2WPMA

• Referenced in 7 articles [sw04326]
• Fortran software is developed that calculates a best piecewise monotonic approximation to n univariate data contaminated by random errors. The underlying method minimizes the weighted ...

• L3toHorospere

• Referenced in 1 article [sw11225]
• Central projection of hyperbolic space onto a horosphere. A horosphere is a surface in hyperbolic space that is isometric to the Euclidean plane. In order ...

• LA

• Referenced in 0 articles [sw05828]
• The LA library provides a C++ vector and matrix class with an interface to BLAS and LAPACK linear algebra libraries and a few additional features. ...

• la4j

• Referenced in 1 article [sw19682]
• la4j The la4j library is open source and 100% Java library that provides Linear Algebra primitives (matrices and vectors) and algorithms. The library was initially ...

• labdsv

• Referenced in 4 articles [sw04575]
• R package labdsv: Ordination and Multivariate Analysis for Ecology , A variety of ordination and community analyses useful in analysis of datasets in community ecology. ...

• LabelRankT

• Referenced in 3 articles [sw20731]
• LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation. An increasingly important challenge in network analysis is efficient detection and tracking of communities in ...