:orphan: # TAOBQNLS Bounded Quasi-Newton Line Search method for nonlinear minimization with bound constraints. This method approximates the action of the inverse-Hessian with a limited memory quasi-Newton formula. The quasi-Newton matrix and its options are accessible via the prefix `-tao_bqnls_` ## Options Database Keys - ***-tao_bnk_max_cg_its -*** maximum number of bounded conjugate-gradient iterations taken in each Newton loop - ***-tao_bnk_as_type -*** active-set estimation method ("none", "bertsekas") - ***-tao_bnk_epsilon -*** (developer) tolerance for small pred/actual ratios that trigger automatic step acceptance - ***-tao_bnk_as_tol -*** (developer) initial tolerance used in estimating bounded active variables (-as_type bertsekas) - ***-tao_bnk_as_step -*** (developer) trial step length used in estimating bounded active variables (-as_type bertsekas) ## See Also `TAOBNK` ## Level beginner ## Location src/tao/bound/impls/bqnls/bqnls.c ## Examples src/tao/unconstrained/tutorials/burgers_spectral.c
src/tao/unconstrained/tutorials/rosenbrock3.c
src/tao/unconstrained/tutorials/spectraladjointassimilation.c
src/ts/tutorials/ex20opt_p.c
--- [Edit on GitLab](https://gitlab.com/petsc/petsc/-/edit/release/src/tao/bound/impls/bqnls/bqnls.c) [Index of all Tao routines](index.md) [Table of Contents for all manual pages](/manualpages/index.md) [Index of all manual pages](/manualpages/singleindex.md)