Package: RcppDE 0.1.7.2

RcppDE: Global Optimization by Differential Evolution in C++

An efficient C++ based implementation of the 'DEoptim' function which performs global optimization by differential evolution. Its creation was motivated by trying to see if the old approximation "easier, shorter, faster: pick any two" could in fact be extended to achieving all three goals while moving the code from plain old C to modern C++. The initial version did in fact do so, but a good part of the gain was due to an implicit code review which eliminated a few inefficiencies which have since been eliminated in 'DEoptim'.

Authors:Dirk Eddelbuettel extending DEoptim which itself is based on DE-Engine

RcppDE_0.1.7.2.tar.gz
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RcppDE.pdf |RcppDE.html
RcppDE/json (API)

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

Peer review:

Bug tracker:https://github.com/eddelbuettel/rcppde/issues

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

On CRAN:

2 exports 14 stars 8.52 score 2 dependencies 20 dependents 2 mentions 45 scripts 1.1k downloads

Last updated 14 hours agofrom:b6756e61e5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 07 2024
R-4.5-win-x86_64OKOct 07 2024
R-4.5-linux-x86_64OKOct 07 2024
R-4.4-win-x86_64OKOct 07 2024
R-4.4-mac-x86_64OKOct 07 2024
R-4.4-mac-aarch64OKOct 07 2024
R-4.3-win-x86_64OKOct 07 2024
R-4.3-mac-x86_64OKOct 07 2024
R-4.3-mac-aarch64OKOct 07 2024

Exports:DEoptimDEoptim.control

Dependencies:RcppRcppArmadillo

From DEoptim to RcppDE: A case study in porting from C to C++ using Rcpp and RcppArmadillo

Rendered fromRcppDE.Rnwusingutils::Sweaveon Oct 07 2024.

Last update: 2015-09-05
Started: 2013-12-12