PETSc version 3.16.6

TAOBQNKTR

Bounded Quasi-Newton-Krylov Trust Region method for nonlinear minimization with bound constraints. This method approximates the Hessian-vector product using a limited-memory quasi-Newton formula, and iteratively inverts the Hessian with a Krylov solver. The quasi-Newton matrix and its settings can be accessed via the prefix `-tao_bqnk_`

Options Database Keys

	-tao_bqnk_max_cg_its	- maximum number of bounded conjugate-gradient iterations taken in each Newton loop
	-tao_bqnk_init_type	- trust radius initialization method ("constant", "direction", "interpolation")
	-tao_bqnk_update_type	- trust radius update method ("step", "direction", "interpolation")
	-tao_bqnk_as_type	- active-set estimation method ("none", "bertsekas")

Level

beginner

Location

src/tao/bound/impls/bqnk/bqnktr.c
Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages