TaoBNCGType#

Determine the conjugate gradient update formula used in the TAOBNCG algorithm.

Synopsis#

Values#

  TAO_BNCG_GD         - basic gradient descent, no CG update
  TAO_BNCG_PCGD       - preconditioned/scaled gradient descent
  TAO_BNCG_HS         - Hestenes-Stiefel
  TAO_BNCG_FR         - Fletcher-Reeves
  TAO_BNCG_PRP        - Polak-Ribiere-Polyak (PRP)
  TAO_BNCG_PRP_PLUS   - Polak-Ribiere-Polyak "plus" (PRP+)
  TAO_BNCG_DY         - Dai-Yuan
  TAO_BNCG_HZ         - Hager-Zhang (CG_DESCENT 5.3)
  TAO_BNCG_DK         - Dai-Kou (2013)
  TAO_BNCG_KD         - Kou-Dai (2015)
  TAO_BNCG_SSML_BFGS  - Self-Scaling Memoryless BFGS (Perry-Shanno)
  TAO_BNCG_SSML_DFP   - Self-Scaling Memoryless DFP
  TAO_BNCG_SSML_BRDN  - Self-Scaling Memoryless (Symmetric) Broyden

See Also#

Tao, TAOBNCG, TaoBNCGSetType(), TaoBNCGGetType()

Level#

advanced

Location#

include/petsctao.h


Index of all Tao routines
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Index of all manual pages