trustOptim (0.8.6)

Trust Region Optimization for Nonlinear Functions with Sparse Hessians.

Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives). See Braun, M. (2014) .

Maintainer: Michael Braun
Author(s): Michael Braun [aut, cre, cph]

License: MPL (>= 2.0)

Uses: Matrix, Rcpp, testthat, knitr
Reverse suggests: bayesGDS, sparseMVN

Released over 2 years ago.