Some accelerated three-term conjugate gradient algorithms implemented purely in R with the same user interface as optim(). The search directions and acceleration scheme are described in Andrei, N. (2013) <doi:10.1016/j.amc.2012.11.097>, Andrei, N. (2013) <doi:10.1016/j.cam.2012.10.002>, and Andrei, N (2015) <doi:10.1007/s11075-014-9845-9>. Line search is done by a hybrid algorithm incorporating the ideas in Oliveia and Takahashi (2020) <doi:10.1145/3423597> and More and Thuente (1994) <doi:10.1145/192115.192132>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | numDeriv |
| Suggests: | testthat |
| Published: | 2021-10-05 |
| Author: | Hao Chi Kiang [cre, aut] |
| Maintainer: | Hao Chi Kiang <hello at hckiang.com> |
| License: | GPL-3 |
| URL: | https://git.sr.ht/~hckiang/ttcg |
| NeedsCompilation: | no |
| CRAN checks: | ttcg results |
| Reference manual: | ttcg.pdf |
| Package source: | ttcg_1.0.1.tar.gz |
| Windows binaries: | r-devel: ttcg_1.0.1.zip, r-release: ttcg_1.0.1.zip, r-oldrel: ttcg_1.0.1.zip |
| macOS binaries: | r-release (arm64): ttcg_1.0.1.tgz, r-oldrel (arm64): ttcg_1.0.1.tgz, r-release (x86_64): ttcg_1.0.1.tgz, r-oldrel (x86_64): ttcg_1.0.1.tgz |
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