The R programming language has gained some popularity in recent years. It is widely used for developing statistical software and data analysis but also for Monte Carlo simulations. Such Monte Carlo simulations require high-quality (pseudo) random numbers. Roland Schmid and Riccardo Porreca of Mirai Solutions have written an R package providing access to the TRNG… Continue reading R as random
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.18 is a bug-fix and maintenance release and can be… Continue reading New TRNG release
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.17 is a bug fix and maintenance release.
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.16 is a bug fix and maintenance release. A class… Continue reading New TRNG release
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for… Continue reading New TRNG release
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.14 is a bug fix and maintenance release introcucing compatibility… Continue reading New TRNG release
As I pointed out earlier the open source software repository BerliOS will be closed at the end of this year. For this reason, Tina’s Random Number Generator Library is on GitHub now. You may checkout the whole version history starting from version 4.0 to the latest version 4.13 from the repository rabauke/trng4.
Recently, the Fraunhofer Institute for Open Communication Systems announced to close BerliOS, its open source software repository, on 31.12.2011. BerliOS has been the home for Tina’s Random Number Generator Library (TRNG) for many years. Now, I have to find a new hosting platform for my little software project until the end of this year. Maybe,… Continue reading BerliOS will be closed
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.13 is a bug fix and maintenance release. If you… Continue reading New TRNG release
A new version of TRNG (Tina’s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI or others. The new version 4.12 is a bug fix and maintenance release. If you… Continue reading New TRNG release