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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 |
DOI: | 10.32614/CRAN.package.ttcg |
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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These binaries (installable software) and packages are in development.
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