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n1qn1: Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS 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.

Version: 6.0.1-12
Depends: R (≥ 3.2)
Imports: Rcpp (≥ 0.12.3)
LinkingTo: RcppArmadillo (≥ 0.5.600.2.0), Rcpp (≥ 0.12.3)
Suggests: testthat, covr
Published: 2024-09-17
DOI: 10.32614/CRAN.package.n1qn1
Author: Matthew Fidler [aut, cre], Wenping Wang [aut], Claude Lemarechal [aut, ctb], Joseph Bonnans [ctb], 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]
Maintainer: Matthew Fidler <matthew.fidler at gmail.com>
BugReports: https://github.com/nlmixr2/n1qn1c/issues
License: CeCILL-2
URL: https://github.com/nlmixr2/n1qn1c
NeedsCompilation: yes
Materials: README NEWS
In views: Optimization
CRAN checks: n1qn1 results

Documentation:

Reference manual: n1qn1.pdf

Downloads:

Package source: n1qn1_6.0.1-12.tar.gz
Windows binaries: r-devel: n1qn1_6.0.1-12.zip, r-release: n1qn1_6.0.1-12.zip, r-oldrel: n1qn1_6.0.1-12.zip
macOS binaries: r-release (arm64): n1qn1_6.0.1-12.tgz, r-oldrel (arm64): n1qn1_6.0.1-12.tgz, r-release (x86_64): n1qn1_6.0.1-12.tgz, r-oldrel (x86_64): n1qn1_6.0.1-12.tgz
Old sources: n1qn1 archive

Reverse dependencies:

Reverse imports: nlmixr2est
Reverse linking to: nlmixr2est
Reverse suggests: nlmixr2

Linking:

Please use the canonical form https://CRAN.R-project.org/package=n1qn1 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.