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) .


Reference manual

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install.packages("trustOptim")

0.8.7.4 by Michael Braun, 9 months ago


https://braunm.github.io/trustOptim/, https://github.com/braunm/trustOptim/


Report a bug at https://github.com/braunm/trustOptim/issues


Browse source code at https://github.com/cran/trustOptim


Authors: Michael Braun [aut, cre, cph] (ORCID:


Documentation:   PDF Manual  


MPL (>= 2.0) license


Imports Matrix, Rcpp, methods

Suggests testthat, knitr

Linking to Rcpp, RcppEigen


Imported by ZIPFA, sfaR.

Suggested by aghq, factorana, sparseMVN.


See at CRAN