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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 almost 2 years ago.

10 previous versions



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