TaoBNCGType#
Determine the conjugate gradient update formula used in the TAOBNCG algorithm.
Synopsis#
Values#
TAO_BNCG_GD- basic gradient descent, no CG updateTAO_BNCG_PCGD- preconditioned/scaled gradient descentTAO_BNCG_HS- Hestenes-StiefelTAO_BNCG_FR- Fletcher-ReevesTAO_BNCG_PRP- Polak-Ribiere-Polyak (PRP)TAO_BNCG_PRP_PLUS- Polak-Ribiere-Polyak “plus” (PRP+)TAO_BNCG_DY- Dai-YuanTAO_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 DFPTAO_BNCG_SSML_BRDN- Self-Scaling Memoryless (Symmetric) Broyden
See Also#
Tao, TAOBNCG, TaoBNCGSetType(), TaoBNCGGetType()
Level#
advanced
Location#
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages