Lines Matching refs:back

67 selects a default algorithm. Call-back routines as well as vector
69 call-back routines will be used for evaluating the objective function,
201 ### User Defined Call-back Routines
268 it must be cast as a `(void*)` type. This pointer will be passed back
270 the objective. In this routine, the pointer can be cast back to the
432 the appropriate TAO interface functions and call-back routines where necessary.
465 formulated as $c_e(x) = 0$ and requires the user to implement a call-back
473 As in the previous call-back routines, the first argument is the TAO solver
479 Generally constrained TAO algorithms also require a second user call-back
493 These call-back functions are then given to the TAO solver using the
799 be passed back to the user.
1519 find a viable step length for the Newton step, it falls back onto a
1711 fall-back (BNTL). They are available via the TAO solvers `TAOBNLS`,
1763 estimation falls back onto using an identity matrix in place of
1782 BNLS safeguards the Newton step by falling back onto a BFGS, scaled
1815 find a viable step length for the Newton step, it falls back onto a
1850 fall-back (BQNKTL). These algorithms are available via
2437   user-call back for evaluating the function value and gradient
2439 - `TaoBRGNSetRegularizerHessianRoutine()` - Provide user call-back