Description: SPGL1 is a Matlab solver
for large-scale one-norm regularized least squares. It is designed to
solve any of the following three problems:
1. Basis pursuit denoise (BPDN):
minimize ||x||_1 subject to ||Ax- b||_2 <= sigma,
2. Basis pursuit (BP):
minimize ||x||_1 subject to Ax = b
3. Lasso:
minimize ||Ax- b||_2 subject to ||x||_1 <= tau,
To Search:
File list (Check if you may need any files):
spgl1-1.8\ChangeLog
.........\Contents.m
.........\COPYING
.........\NormGroupL2_dual.m
.........\NormGroupL2_primal.m
.........\NormGroupL2_project.m
.........\NormL12_dual.m
.........\NormL12_primal.m
.........\NormL12_project.m
.........\NormL1NN_dual.m
.........\NormL1NN_primal.m
.........\NormL1NN_project.m
.........\NormL1_dual.m
.........\NormL1_primal.m
.........\NormL1_project.m
.........\private\ensure.m
.........\.......\heap.c
.........\.......\heap.h
.........\.......\lsqr.m
.........\.......\oneProjector.m
.........\.......\oneProjectorCore.c
.........\.......\oneProjectorCore.h
.........\.......\oneProjectorMex.c
.........\.......\oneProjectorMex.m
.........\.......\oneProjectorMex.mexglx
.........\.......\oneProjectorMex.mexmaci
.........\.......\oneProjectorMex.mexw32
.........\README
.........\spgdemo.m
.........\spgl1.m
.........\spgSetParms.m
.........\spgsetup.m
.........\spg_bp.m
.........\spg_bpdn.m
.........\spg_group.m
.........\spg_lasso.m
.........\spg_mmv.m
.........\private
spgl1-1.8
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