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RcppBigIntAlgos  

Factor Big Integers with the Parallel Quadratic Sieve
View on CRAN: Click here


Download and install RcppBigIntAlgos package within the R console
Install from CRAN:
install.packages("RcppBigIntAlgos")

Install from Github:
library("remotes")
install_github("cran/RcppBigIntAlgos")

Install by package version:
library("remotes")
install_version("RcppBigIntAlgos", "1.1.0")



Attach the package and use:
library("RcppBigIntAlgos")
Maintained by
Joseph Wood
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-23
Latest Update: 2023-08-16
Description:
Features the multiple polynomial quadratic sieve (MPQS) algorithm for factoring large integers and a vectorized factoring function that returns the complete factorization of an integer. The MPQS is based off of the seminal work of Carl Pomerance (1984) along with the modification of multiple polynomials introduced by Peter Montgomery and J. Davis as outlined by Robert D. Silverman (1987) . Utilizes the C library GMP (GNU Multiple Precision Arithmetic). For smaller integers, a simple Elliptic Curve algorithm is attempted followed by a constrained version of Pollard's rho algorithm. The Pollard's rho algorithm is the same algorithm used by the factorize function in the 'gmp' package.
How to cite:
Joseph Wood (2020). RcppBigIntAlgos: Factor Big Integers with the Parallel Quadratic Sieve. R package version 1.1.0, https://cran.r-project.org/web/packages/RcppBigIntAlgos. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:22), 0.2.2 (2020-04-23 15:10), 0.2.4 (2020-06-22 18:10), 0.3.1 (2020-09-28 15:10), 0.3.3 (2020-10-14 02:00), 0.3.4 (2020-11-04 07:30), 1.0.0 (2020-12-12 18:20), 1.0.1 (2021-01-08 17:10)
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Complete documentation for RcppBigIntAlgos
Functions, R codes and Examples using the RcppBigIntAlgos R package
Some associated functions: divisorsBig . primeFactorizeBig . quadraticSieve . stdThreadMax . 
Some associated R codes: IntegerFactorization.R . RcppExports.R . zzz.R .  Full RcppBigIntAlgos package functions and examples
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