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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
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
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
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
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.
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