BB: Solving and Optimizing Large-Scale Nonlinear Systems

Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("BB").

Version: 2019.10-1
Depends: R (≥ 2.6.1)
Imports: stats, quadprog
Suggests: setRNG, survival, Hmisc, numDeriv
Published: 2019年10月18日
Author: Ravi Varadhan [aut, cph, trl], Paul Gilbert [aut, cre], Marcos Raydan [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), JM Martinez [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), EG Birgin [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.), W LaCruz [ctb] (with co-authors, wrote original algorithms in fortran. These provided some guidance for implementing R code in the BB package.)
Maintainer: Paul Gilbert <pgilbert.ttv9z at ncf.ca>
License: GPL-3
Copyright: 2008-2020, Ravi Varadhan
NeedsCompilation: no
Citation: BB citation info
Materials: NEWS
CRAN checks: BB results

Documentation:

Reference manual: BB.html , BB.pdf

Downloads:

Package source: BB_2019.10-1.tar.gz
Windows binaries: r-devel: BB_2019.10-1.zip, r-release: BB_2019.10-1.zip, r-oldrel: BB_2019.10-1.zip
macOS binaries: r-release (arm64): BB_2019.10-1.tgz, r-oldrel (arm64): BB_2019.10-1.tgz, r-release (x86_64): BB_2019.10-1.tgz, r-oldrel (x86_64): BB_2019.10-1.tgz
Old sources: BB archive

Reverse dependencies:

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