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Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional ... [More]
Incanter is a Clojure-based, R-like statistical computing and graphics platform for the JVM. Incanter can either be used as a standalone, interactive data analysis system or embedded within other analytics systems, as a modular collection of libraries. Incanter leverages both the power of ... [More]
The Universal Java Matrix Package (UJMP) is an open source Java library that provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra like matrix multiplication or matrix inverse. Operations like mean, correlation, standard deviation, replacement of ... [More]
The goal of this toolbox is to provide a collection of low discrepancy sequences. These random numbers are designed to be used in a Monte-Carlo simulation. For example, low discrepancy sequences provide a higher convergence rate to the Monte-Carlo method when used in numerical integration. The ... [More]
PL/R is a loadable procedural language that enables you to write PostgreSQL functions and triggers in the R programming language. PL/R offers most (if not all) of the capabilities a function writer has in the R language.