Trust region algorithm for nonlinear optimization. Efficient when the Hessian of the objective function is sparse (i.e., relatively few nonzero cross-partial derivatives).
| Version: | 0.8.5 |
| Depends: | R (≥ 3.1.2), Rcpp (≥ 0.11.3), Matrix (≥ 1.1.4) |
| LinkingTo: | Rcpp, RcppEigen (≥ 0.3.2.3) |
| Suggests: | testthat, knitr |
| Published: | 2015-02-04 |
| Author: | Michael Braun [aut, cre, cph] |
| Maintainer: | Michael Braun <braunm at smu.edu> |
| License: | MPL (≥ 2.0) |
| Copyright: | (c) 2015 Michael Braun |
| URL: | http://coxprofs.cox.smu.edu/braunm |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | trustOptim citation info |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | trustOptim results |
| Reference manual: | trustOptim.pdf |
| Vignettes: |
Using trustOptim Quick demo |
| Package source: | trustOptim_0.8.5.tar.gz |
| Windows binaries: | r-devel: trustOptim_0.8.5.zip, r-release: trustOptim_0.8.5.zip, r-oldrel: trustOptim_0.8.5.zip |
| OS X Mavericks binaries: | r-release: trustOptim_0.8.5.tgz, r-oldrel: trustOptim_0.8.5.tgz |
| Old sources: | trustOptim archive |
| Reverse imports: | gpDDE |
| Reverse suggests: | bayesGDS |
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