Searched refs:TAOBRGN (Results 1 – 10 of 10) sorted by relevance
64 PetscCall(PetscObjectTypeCompare((PetscObject)tao, TAOBRGN, &isbrgn)); in SetTaoOptionsFromUserOptions()88 PetscCall(PetscObjectTypeCompare((PetscObject)tao, TAOBRGN, &isbrgn)); in TestOutType()153 PetscCall(TaoSetType(tao, TAOBRGN)); in main()
62 PetscCall(TaoSetType(tao, TAOBRGN)); in main()
102 PetscCall(TaoRegister(TAOBRGN, TaoCreate_BRGN)); in TaoRegisterAll()
152 By default, bound-constrained regularized Gauss-Newton `TAOBRGN` is used to solve the underlying op…
2388 The TAOBRGN algorithms is a Gauss-Newton method is used to iteratively solve nonlinear least
151 PetscCall(TaoSetType(tao, TAOBRGN)); in PetscRegressorSetUp_Linear()
226 #define TAOBRGN "brgn" macro
220 - Add lm regularizer to TAOBRGN. This regularizer turns BRGN into a
25 PetscTAOType TAOBRGN
32 BRGN = S_(TAOBRGN)