trustOptim: 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) <doi:10.18637/jss.v060.i04>.
Version:
0.8.7.3
Depends:
R (≥ 3.6)
Imports:
Matrix (≥ 1.2.18),
Rcpp (≥ 1.0.3), methods
Published:
2021年10月11日
Author:
Michael Braun
ORCID iD
[aut, cre, cph]
Maintainer:
Michael Braun <braunm at smu.edu>
Copyright:
(c) 2015-2021 Michael Braun
NeedsCompilation:
yes
SystemRequirements:
C++11
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=trustOptim
to link to this page.