arcopt
Adaptive Regularization using Cubics for Optimization
Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | arcopt_0.3.0.tar.gz |
213.6 KiB |
0.3.0 |
rolling linux/noble R-4.5 | arcopt_0.3.0.tar.gz |
213.4 KiB |
0.3.0 |
rolling source/ R- | arcopt_0.3.0.tar.gz |
109.9 KiB |
0.3.0 |
latest linux/jammy R-4.5 | arcopt_0.3.0.tar.gz |
213.6 KiB |
0.3.0 |
latest linux/noble R-4.5 | arcopt_0.3.0.tar.gz |
213.4 KiB |
0.3.0 |
latest source/ R- | arcopt_0.3.0.tar.gz |
109.9 KiB |
0.3.0 |
2026-04-23 source/ R- | arcopt_0.3.0.tar.gz |
0 B |