| Port variant | std |
| Summary | Limited-memory BFGS Optimization |
| Package version | 1.2.1.2 |
| Homepage | No known homepage |
| Keywords | cran |
| Maintainer | CRAN Automaton |
| License | Not yet specified |
| Other variants | There are no other variants. |
| Ravenports | Buildsheet | History |
| Ravensource | Port Directory | History |
| Last modified | 23 APR 2026, 14:06:01 UTC |
| Port created | 23 APR 2026, 14:06:01 UTC |
| single | lbfgs: Limited-memory BFGS Optimization A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem of minimizing an objective, given its gradient, by iteratively computing approximations of the inverse Hessian matrix. The OWL-QN algorithm finds the optimum of an objective plus the L1-norm of the problem's parameters. The package offers a fast and memory-efficient implementation of these optimization routines, which is particularly suited for high-dimensional problems. |
| Build (only) |
gmake:primary:std R:primary:std icu:dev:std R:docs:std |
| Build and Runtime | R-Rcpp:single:std |
| Runtime (only) |
R:primary:std R:nls:std |
| main | mirror://CRAN/src/contrib https://loki.dragonflybsd.org/cranfiles/ |
| R-GauPro:std | Gaussian Process Fitting |
| R-splitfngr:std | Combined Evaluation and Split Access of Functions |