RcppAlgos: High Performance Tools for Combinatorics and Computational Mathematics

Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. Utilizes parallel programming via 'RcppThread' for maximal performance. Also makes use of the RMatrix class from the 'RcppParallel' library. There are combination/permutation functions with constraint parameters that allow for generation of all combinations/permutations of a vector meeting specific criteria (e.g. finding all combinations such that the sum is between two bounds). Capable of generating specific combinations/permutations (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are useful for problems common in computational mathematics. Some of these functions make use of the fast integer division library 'libdivide' by <http://ridiculousfish.com>. The primeSieve function is based on the segmented sieve of Eratosthenes implementation by Kim Walisch. It is also efficient for large numbers by using the cache friendly improvements originally developed by Tomás Oliveira. Finally, there is a prime counting function that implements Legendre's formula based on the algorithm by Kim Walisch.

Package details

AuthorJoseph Wood
MaintainerJoseph Wood <[email protected]>
LicenseGPL (>= 2)
Version2.3.1
URL https://github.com/jwood000/RcppAlgos https://gmplib.org/ http://primesieve.org/ https://github.com/kimwalisch/primesieve https://github.com/kimwalisch/primecount http://libdivide.com/ http://sweet.ua.pt/tos/software/prime_sieve.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RcppAlgos")

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RcppAlgos documentation built on March 21, 2019, 5:04 p.m.