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Searched refs:L1 (Results 1 – 13 of 13) sorted by relevance

/petsc/share/petsc/datafiles/meshes/
H A Dcube_5tets_ascii.cas39 (39 (12 wall L1 1)())
H A Dcube_5tets.cas19 (39 (12 wall L1)())
/petsc/src/dm/impls/plex/tests/output/
H A Dex1_fluent_2.out12 L1: 1 strata with value/size (1 (12))
/petsc/src/tao/constrained/impls/ipm/
H A Dpdipm.c444 Vec x, L1; in TaoSNESFunction_PDIPM() local
464 L1 = pdipm->x; in TaoSNESFunction_PDIPM()
465 PetscCall(VecPlaceArray(L1, Farr)); /* L1 = 0.0 */ in TaoSNESFunction_PDIPM()
470 PetscCall(MatMultTransposeAdd(tao->jacobian_inequality, tao->DI, L1, L1)); in TaoSNESFunction_PDIPM()
476 PetscCall(MatMultTransposeAdd(pdipm->Jci_xb, pdipm->lambdai_xb, L1, L1)); in TaoSNESFunction_PDIPM()
480 PetscCall(VecScale(L1, -1.0)); in TaoSNESFunction_PDIPM()
484 PetscCall(VecAXPY(L1, 1.0, tao->gradient)); in TaoSNESFunction_PDIPM()
490 PetscCall(MatMultTransposeAdd(tao->jacobian_equality, tao->DE, L1, L1)); in TaoSNESFunction_PDIPM()
496 PetscCall(MatMultTransposeAdd(pdipm->Jce_xfixed, pdipm->lambdae_xfixed, L1, L1)); in TaoSNESFunction_PDIPM()
500 PetscCall(VecResetArray(L1)); in TaoSNESFunction_PDIPM()
[all …]
/petsc/src/tao/leastsquares/tutorials/
H A DtomographyGenerateData.m46 % Reconstruction with solver from XH, with L1/TV regularizer.
49 regType = 'L1'; % 'TV' or 'L1' % TV is better and cleaner for phantom example
/petsc/src/tao/leastsquares/tutorials/output/
H A Dcs1_view_l1dict_alt.out5 L1 smooth epsilon: 1e-06
H A Dcs1_view_l1dict.out5 L1 smooth epsilon: 1e-06
/petsc/doc/changes/
H A D321.md97 - Add function `MatGetRowSumAbs()` to compute vector of L1 norms of rows ([B]AIJ only)
/petsc/lib/petsc/bin/maint/abi-compliance-checker/
H A Dabi-compliance-checker.pl8208 my ($L1, $L2) = @_;
8210 and (index($L1, "retval")!=0 and index($L1, "this")!=0))
8212 if(index($L1, "->")==-1) {
/petsc/doc/manual/
H A Dperformance.md328 within a NUMA domain, and each core has its own L2 and L1 caches.
H A Dtao.md2416 - **L1-norm with Dictionary** -
2425 `-tao_brgn_l1_smooth_epsilon`. For the L1-norm term, the user can
/petsc/src/binding/petsc4py/src/petsc4py/PETSc/
H A DTAO.pyx1852 """Set the smooth L1 epsilon.
/petsc/doc/
H A Dpetsc.bib24104 title = {Scalable training of L1-regularized log-linear models},