History log of /petsc/src/ksp/pc/impls/mg/mgadapt.c (Results 26 – 38 of 38)
Revision Date Author Comments
# 08401ef6 04-Apr-2022 Pierre Jolivet <pierre@joliv.et>

Remove some PetscCheckFalse()


# f882803c 26-Mar-2022 Satish Balay <balay@mcs.anl.gov>

Merge branch 'jacobf/2022-02-23/variadic-chkerr' into 'main'

Variadic CHKERRQ()

See merge request petsc/petsc!4889


# 9566063d 25-Mar-2022 Jacob Faibussowitsch <jacob.fai@gmail.com>

The great renaming:

- CHKERRQ() -> PetscCall()
- CHKERRV() -> PetscCallVoid()
- CHKERRMPI() -> PetscCallMPI()
- CHKERRABORT() -> PetscCallAbort()
- CHKERRCONTINUE() -> PetscCallContinue()
- CHKERRXX

The great renaming:

- CHKERRQ() -> PetscCall()
- CHKERRV() -> PetscCallVoid()
- CHKERRMPI() -> PetscCallMPI()
- CHKERRABORT() -> PetscCallAbort()
- CHKERRCONTINUE() -> PetscCallContinue()
- CHKERRXX() -> PetscCallThrow()
- CHKERRCXX() -> PetscCallCXX()
- CHKERRCUDA() -> PetscCallCUDA()
- CHKERRCUBLAS() -> PetscCallCUBLAS()
- CHKERRCUSPARSE() -> PetscCallCUSPARSE()
- CHKERRCUSOLVER() -> PetscCallCUSOLVER()
- CHKERRCUFFT() -> PetscCallCUFFT()
- CHKERRCURAND() -> PetscCallCURAND()
- CHKERRHIP() -> PetscCallHIP()
- CHKERRHIPBLAS() -> PetscCallHIPBLAS()
- CHKERRHIPSOLVER() -> PetscCallHIPSOLVER()
- CHKERRQ_CEED() -> PetscCallCEED()
- CHKERR_FORTRAN_VOID_FUNCTION() -> PetscCallFortranVoidFunction()
- CHKERRMKL() -> PetscCallMKL()
- CHKERRMMG() -> PetscCallMMG()
- CHKERRMMG_NONSTANDARD() -> PetscCallMMG_NONSTANDARD()
- CHKERRCGNS() -> PetscCallCGNS()
- CHKERRPTSCOTCH() -> PetscCallPTSCOTCH()
- CHKERRSTR() -> PetscCallSTR()
- CHKERRTC() -> PetscCallTC()

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# 5f80ce2a 24-Feb-2022 Jacob Faibussowitsch <jacob.fai@gmail.com>

chkerr and friends wrapped


# 1241a243 13-Feb-2022 Satish Balay <balay@mcs.anl.gov>

Merge branch 'jacobf/2022-01-05/c99' into 'main'

Feature: C99 and C++11

See merge request petsc/petsc!4700


# 2c71b3e2 11-Feb-2022 Jacob Faibussowitsch <jacob.fai@gmail.com>

rename PetscAssert() -> PetscCheck() and PetscAssertDebug() -> PetscAssert()


# 9ace16cd 28-Jan-2022 Jacob Faibussowitsch <jacob.fai@gmail.com>

add PetscAssert() and PetscAssertFalse()


# 98921bda 28-Jan-2022 Jacob Faibussowitsch <jacob.fai@gmail.com>

SETERRQ[1-9]+ begone


# e2450a9f 26-Aug-2020 Satish Balay <balay@mcs.anl.gov>

Merge branch 'balay/sowing-1.1.26' into 'master'

sowing: update to version 1.1.26+

See merge request petsc/petsc!3091


# ee300463 26-Aug-2020 Satish Balay <balay@mcs.anl.gov>

doc: fix build errors


# ee90678e 26-Aug-2020 Satish Balay <balay@mcs.anl.gov>

Merge branch 'knepley/feature-plex-adaptive-interpolation' into 'master'

Knepley/feature plex adaptive interpolation

See merge request petsc/petsc!3018


# 557cf195 31-Jan-2019 Matthew G. Knepley <knepley@gmail.com>

DM+SNES: Preliminary adaptive interpolation
- Using the scheme from BootstrapAMG with some modifications to apply to GMG
- Moved adaptive interpolation into DM from Plex
- Added event for adaptation

DM+SNES: Preliminary adaptive interpolation
- Using the scheme from BootstrapAMG with some modifications to apply to GMG
- Moved adaptive interpolation into DM from Plex
- Added event for adaptation
- Added routine to check an interpolator
- Added viewer for coarse and fine vectors used for interpolation optimization
- Add coarse space determined by eigenvectors
- Right now adaptive interpolation is unweighted

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# f3b08a26 06-Feb-2019 Matthew G. Knepley <knepley@gmail.com>

PCMG: Added adaptive interpolation
- Added coarse vectors to resolve at each level
- Added adaptation flag and API
- Added option -pc_mg_adapt_interp to turn on adaptation
- Use -dm_interpolator_ada

PCMG: Added adaptive interpolation
- Added coarse vectors to resolve at each level
- Added adaptation flag and API
- Added option -pc_mg_adapt_interp to turn on adaptation
- Use -dm_interpolator_adapt_k to set subspace size and -dm_interpolator_adapt_use_poly to select type of functions
- Doc fixes for functions
- Fix options for construction of a vanilla coarse space
- Require Galerkin matrices for adaptive interpolation
- Fixed problem with composed eigenvalue
- Normalize eigenvector in smoothing loop
- Added option to use generalized eigenvector basis (For some reason, this is worse on test problems)
- Make adaptive allocation happen only initially, protect adaptive functions from invalid levels

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