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n1qn1  

Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization
View on CRAN: Click here


Download and install n1qn1 package within the R console
Install from CRAN:
install.packages("n1qn1")

Install from Github:
library("remotes")
install_github("cran/n1qn1")

Install by package version:
library("remotes")
install_version("n1qn1", "6.0.1-12")



Attach the package and use:
library("n1qn1")
Maintained by
Matthew Fidler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-30
Latest Update: 2022-10-18
Description:
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 . This version uses manually modified code from 'f2c' to make this a C only binary.
How to cite:
Matthew Fidler (2017). n1qn1: Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization. R package version 6.0.1-12, https://cran.r-project.org/web/packages/n1qn1. Accessed 21 Nov. 2024.
Previous versions and publish date:
6.0.0-1 (2017-10-30 17:39), 6.0.1-3 (2018-09-17 11:00), 6.0.1-6 (2020-03-02 07:00), 6.0.1-7 (2020-03-19 06:20), 6.0.1-8 (2020-06-29 21:50), 6.0.1-9 (2020-07-02 13:10), 6.0.1-10 (2020-11-17 09:30), 6.0.1-11 (2022-10-18 17:42)
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Complete documentation for n1qn1
Functions, R codes and Examples using the n1qn1 R package
Some associated functions: n1qn1 . 
Some associated R codes: n1qn1.R .  Full n1qn1 package functions and examples
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