Rigorous function approximation using Taylor models in Julia

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Simon Funk's approach to collaborative filtering using the singular value decomposition, implemented in Julia.

A Julia package for working with B-splines

Fast matrix multiplication and division for Toeplitz matrices in Julia

Julia package for working with special matrix types.

Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.

Julia's TetGen wrapper

Julia interface to the Elemental linear algebra library.

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

Julia extensions to provide high performance computational support

Math functions and functors for numerical computations

Math functions and functors for numerical computations

Julia package for a smallest enclosing sphere for points in arbitrary dimensions

Numerical shadow library for Julia language

A Julia implementation of the RKF45 method for time integration

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Translations of "Templates for the Solution of Linear Systems: Building, Blocks for Iterative Methods" to Julia

Distributed Dense Linear Algebra for Julia

A Julia framework for accelerated re-compiled evaluation.