Mathematical software

SPGL1
Referenced in 196 articles [sw08365]
SPGL1: A solver for large-scale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... pursuit problem seeks a minimum one-norm solution of an underdetermined least-squares problem. Basis...

Jellyfish
Referenced in 29 articles [sw12431]
large-scale matrix completion. This paper develops Jellyfish, an algorithm for solving data-processing problems ... problems solvable by Jellyfish include matrix completion problems and least-squares problems regularized ... number of processors. On large-scale matrix completion tasks, Jellyfish is orders of magnitude more...

SEISCOPE
Referenced in 6 articles [sw19396]
such large-scale minimization problems have to be solved. Traveltime tomography, least-squares migration...

LSA
Referenced in 5 articles [sw22887]
unconstrained and box constrained optimization and large-scale systems of nonlinear equations. Subroutines PLIS ... PLIP, intended for dense general optimization problems, are based on limited-memory variable metric methods ... PNET, also intended for dense general optimization problems, is based on an inexact truncated Newton ... PGAC, intended for sparse nonlinear least-squares problems, are based on modifications and corrections...

LibCVM
Referenced in 1 article [sw18879]
been used on a large range of problems, including network intrusion detection, face detection ... large-scale classification supports Core Vector Data Description (CVDD) for large-scale novelty detection supports ... Core Vector Regression (CVR) for large-scale sparse least-squares regression Pending features: multiclass CVM/BVM...

SPGL1