mcGlobaloptim: Global optimization using Monte Carlo and Quasi Monte Carlo simulation

The package performs global optimization combining Monte Carlo and Quasi Monte Carlo simulation with a local search. \n The local searches can be easily speeded-up by using a network of local workstations.

Version: 0.1
Depends: R (≥ 2.12.1), utils
Imports: randtoolbox, snow
Published: 2013-10-12
Author: Thierry Moudiki
Maintainer: Thierry Moudiki <thierry.moudiki at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mcGlobaloptim results


Reference manual: mcGlobaloptim.pdf
Package source: mcGlobaloptim_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mcGlobaloptim_0.1.tgz, r-release (x86_64): mcGlobaloptim_0.1.tgz, r-oldrel: mcGlobaloptim_0.1.tgz

Reverse dependencies:

Reverse imports: midasml, ycinterextra


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