Support for the Woodbury matrix identity for Julia

`@pack!` and `@unpack` macros

Truncated singular value decomposition with partial reorthogonalization

Simple, consistent interfaces for any codec.

Mathematical functions related to statistics.

Basic statistics for Julia

A statistics-focused namespace for packages to share functions

Interface package for StaticArrays.jl

Statically sized arrays for Julia

Special mathematical functions in Julia

SparseArrays.jl is a Julia stdlib

Extra sorting algorithms extending Julia's sorting API

Generation of Sobol low-discrepancy sequence (LDS) for the Julia language

A Julia interface for the SCS conic programming solver

Archive of functions that emulate R's d-p-q-r functions for probability distributions

Richardson extrapolation in Julia

Lazy code loading for Julia

Julia macro for re-exporting one module from another

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Back to the stone age!

Prime numbers in Julia

Project Preferences Package

Reduce time-to-first-execution of Julia code

Uniform Interface for positive definite matrices of various structures

Fast parsing machinery for basic types in Julia

Types with default field values, keyword constructors and (un-)pack macros

Julia implementation of associative containers that preserve insertion order

Julia math built-ins which return NaN and accumulator functions which ignore NaN

For working with dimensions of arrays by name

Interface for arithmetics on mutable types in Julia

Missing value support for Julia

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

A data structure for mathematical optimization problems

MacroTools provides a library of tools for working with Julia code and expressions.

Julia package for various special functions based on `log` and `exp`.

A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

A Julia package for rank-1 lattice rules

A general-purpose toolbox for efficient Kronecker-based algebra.

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)