Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization R package n1qn1 version 6.0.1-14 CRAN Task View: Optimization (https://CRAN.R-project.org/view=Optimization) Provides 'Scilab' 'n1qn1'. This takes more memory than traditional L-BFGS. The n1qn1 routine is useful since it allows prespecification of a Hessian. If the Hessian is near enough the truth in optimization it can speed up the optimization problem. The algorithm is described in the 'Scilab' optimization documentation located at <https://www.scilab.org/sites/default/files/optimization_in_scilab.pdf>. This version uses manually modified code from 'f2c' to make this a C only binary. Software Depends: R (>= 3.2) Imports: Rcpp (>= 0.12.3) LinkingTo: RcppArmadillo (>= 0.5.600.2.0), Rcpp (>= 0.12.3) Suggests: testthat (>= 3.0.0), covr Matthew Fidler <matthew.fidler@gmail.com> Comprehensive R Archive Network (CRAN) Matthew Fidler [aut, cre], Wenping Wang [aut], Claude Lemarechal [aut, ctb], Joseph Bonnans [ctb], Bill Denney [ctb] (ORCID: <https://orcid.org/0000-0002-5759-428X>), Jean-Charles Gilbert [ctb], Claudia Sagastizabal [ctb], Stephen L. Campbell, [ctb], Jean-Philippe Chancelier [ctb], Ramine Nikoukhah [ctb], Dirk Eddelbuettel [ctb], Bruno Jofret [ctb], INRIA [cph] CeCILL-2 2026-04-06 application/tgz https://CRAN.R-project.org/package=n1qn1 doi:10.32614/CRAN.package.n1qn1