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nloptr

nloptr is an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization started by Steven G. Johnson, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. It can be used to solve general nonlinear programming problems with nonlinear constraints and lower and upper bounds for the controls, such as

                             min      f(x)
                           x in R^n
                           
                           s.t.       g(x) <= 0
                                      h(x)  = 0
                                lb <=   x  <= ub

The NLopt library is available under the GNU Lesser General Public License (LGPL), and the copyrights are owned by a variety of authors. See the website for information on how to cite NLopt and the algorithms you use. The R interface to NLopt, also under LGPL, can be downloaded from CRAN or GitHub (development version).

Installation

For most versions of R nloptr can be installed from R with

install.packages('nloptr')

Development version

The most recent (experimental) version can be installed from source from GitHub

library('devtools')
install_github("jyypma/nloptr")

For this to work on Windows, you need to have Rtools and NLopt installed, and set an environment variable NLOPT_HOME with the location of the NLopt library.

Disclaimer

This package is distributed in the hope that it may be useful to some. The usual disclaimers apply (downloading and installing this software is at your own risk, and no support or guarantee is provided, I don't take liability and so on), but please let me know if you have any problems, suggestions, comments, etc.

Files

  • NLopt-2.4-win-build.zip - static libraries of NLopt 2.4 compiled for Windows 32-bit and 64-bit.
  • nloptr.pdf - an R vignette describing how to use the R interface to NLopt.
  • INSTALL.windows - description of how to install nloptr from source for Windows.

Changelog

A full version of the changelog can be found on CRAN

DateDescription
27/01/2014Version 1.0.0 merged wrappers from the 'nloptwrap' package.
19/11/2013Version 0.9.6 Added a line in Makevars to replace some code in NLopt to fix compilation on Solaris as requested by Brian Ripley.
12/11/2013Version 0.9.5 Updated references from NLopt version 2.3 to NLopt version 2.4 in installation instructions.in INSTALL.windows. Added a line in Makevars that replaces some code related to type-casting in NLopt-2.4/isres/isres.c. Changed encoding of src/nloptr.c from CP1252 to UTF-8.
09/11/2013Version 0.9.4 updated NLopt to version 2.4.
31/07/2013Version 0.9.3 was a maintainance release.
11/07/2013Version 0.9.2 was a maintainance release.
31/04/2013Version 0.9.0 has a new print_level = 3, and is compiled with NLopt version 2.3 with --with-cxx option. This makes the StoGo algorithm available.
18/11/2011Version 0.8.9 removed some warnings from R CMD check and included some changes to the build process.
28/09/2011Version 0.8.8 updated to compile on Solaris.
03/09/2011Version 0.8.5 includes a working binary for MacOS.
12/08/2011Version 0.8.4 includes a new function nloptr.print.options, and has new options (print_options_doc, and population and ranseed for stochastic global solvers).
24/07/2011Version 0.8.3 has a finite difference derivative checker and includes checks to prevent adding constraints to a problem when the chosen algortihm does not allow for constraints.
09/07/2011Version 0.8.2 is on CRAN with an updated build process and a newer version of NLopt.
13/01/2011Version 0.8.1 contains an option print_level to control intermediate output.

Reference

Steven G. Johnson, The NLopt nonlinear-optimization package, http://ab-initio.mit.edu/nlopt

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Version

Install

install.packages('nloptr')

Monthly Downloads

458,826

Version

1.2.2.2

License

LGPL-3

Maintainer

Last Published

July 2nd, 2020

Functions in nloptr (1.2.2.2)

auglag

Augmented Lagrangian Algorithm
direct

DIviding RECTangles Algorithm for Global Optimization
isres

Improved Stochastic Ranking Evolution Strategy
cobyla

Constrained Optimization by Linear Approximations
ccsaq

Conservative Convex Separable Approximation with Affine Approximation plus Quadratic Penalty
check.derivatives

Check analytic gradients of a function using finite difference approximations
lbfgs

Low-storage BFGS
bobyqa

Bound Optimization by Quadratic Approximation
crs2lm

Controlled Random Search
mlsl

Multi-level Single-linkage
mma

Method of Moving Asymptotes
nloptr.get.default.options

Return a data.frame with all the options that can be supplied to nloptr.
is.nloptr

R interface to NLopt
nl.grad

Numerical Gradients and Jacobians
nloptr-package

R interface to NLopt
nl.opts

Setting NL Options
sbplx

Subplex Algorithm
nloptr.print.options

Print description of nloptr options
tnewton

Preconditioned Truncated Newton
varmetric

Shifted Limited-memory Variable-metric
slsqp

Sequential Quadratic Programming (SQP)
neldermead

Nelder-Mead Simplex
nloptr

R interface to NLopt
print.nloptr

Print results after running nloptr
newuoa

New Unconstrained Optimization with quadratic Approximation
stogo

Stochastic Global Optimization