Package: n1qn1 6.0.1-12

Matthew Fidler

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.

Authors: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]

n1qn1_6.0.1-12.tar.gz
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n1qn1.pdf |n1qn1.html
n1qn1/json (API)
NEWS

# Install 'n1qn1' in R:
install.packages('n1qn1', repos = c('https://nlmixr2.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/nlmixr2/n1qn1c/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

2 exports 1 stars 4.26 score 2 dependencies 9 dependents 4 scripts 1.4k downloads

Last updated 2 months agofrom:1a6bbf0634. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 26 2024
R-4.5-win-x86_64OKSep 26 2024
R-4.5-linux-x86_64OKSep 26 2024
R-4.4-win-x86_64OKSep 26 2024
R-4.4-mac-x86_64OKSep 26 2024
R-4.4-mac-aarch64OKSep 26 2024
R-4.3-win-x86_64OKSep 26 2024
R-4.3-mac-x86_64OKSep 26 2024
R-4.3-mac-aarch64OKSep 26 2024

Exports:.n1qn1ptrn1qn1

Dependencies:RcppRcppArmadillo