Numerical Linear Algebra Packages
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NumericalShadow.jl2Numerical shadow library for Julia language
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ParallelLinalg.jl1Distributed Dense Linear Algebra for Julia
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NumericExtensions.jl56Julia extensions to provide high performance computational support
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ToeplitzMatrices.jl59Fast matrix multiplication and division for Toeplitz matrices in Julia
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IterativeLinearSolvers.jl3Translations of "Templates for the Solution of Linear Systems: Building, Blocks for Iterative Methods" to Julia
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IterativeSolvers.jl358Iterative algorithms for solving linear systems, eigensystems, and singular value problems
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KrylovMethods.jl44Simple and fast Julia implementation of Krylov subspace methods for linear systems.
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Accelereval.jl1A Julia framework for accelerated re-compiled evaluation.
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IncrementalSVD.jl31Simon Funk's approach to collaborative filtering using the singular value decomposition, implemented in Julia.
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RK4.jl0-
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NumericFunctors.jl13Math functions and functors for numerical computations
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NumericFuns.jl13Math functions and functors for numerical computations
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SpecialMatrices.jl38Julia package for working with special matrix types.
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TetGen.jl33Julia's TetGen wrapper
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Elemental.jl69Julia interface to the Elemental linear algebra library.
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JuliaFEM.jl226The 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.
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MiniBall.jl4Julia package for a smallest enclosing sphere for points in arbitrary dimensions
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GenericSVD.jl41Singular Value Decomposition for generic number types
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Cuba.jl72Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.
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RungeKuttaFehlberg.jl0A Julia implementation of the RKF45 method for time integration
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TensorToolbox.jl55Julia package for tensors as multidimensional arrays, with functionalty within Tucker format, Kruskal (CP) format, Hierarchical Tucker format and Tensor Train format.
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FEMBasis.jl11FEMBasis 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.
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TaylorModels.jl58Rigorous function approximation using Taylor models in Julia
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ArnoldiMethod.jl72Implicitly Restarted Arnoldi Method, natively in Julia
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NonlinearEigenproblems.jl89Nonlinear eigenvalue problems in Julia: Iterative methods and benchmarks
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BSplines.jl21A Julia package for working with B-splines
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RandomizedPreconditioners.jl33-
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Sparspak.jl33Direct solution of large sparse systems of linear algebraic equations in pure Julia
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