Provides a Julia wrapper for the PATH Solver for solving mixed complementarity problems

A few preconditioners for iterative solvers.

Functionality for working efficiently with block diagonal matrices.

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Finds relationships between the parameters of a mathematical model

Add virtual padding to the edges of an array

Interface for arithmetics on mutable types in Julia

Structures of Arrays that behave like Arrays of Structures

Structures of Arrays that behave like Arrays of Structures

Lattice reduction and other lattice tools in Julia

Julia implementation for the BFloat16 number type

Reverse automated differentiation from source

Julia versions of the CompEcon routines by Miranda and Fackler.

Interpolation and related operations on grids

Fixed-width integers similar to builtin ones

Finite fields for Julia

A Julia package for generating timeseries surrogates

Optimal addition-chain exponentiation for Julia

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

String-like views of arbitrary Julia byte arrays

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

A fast and flexible Structural Equation Modelling Framework

Geometric Numerical Integration in Julia

Simple and fast Julia implementation of Krylov subspace methods for linear systems.

Graph layout algorithms in pure Julia

A posit arithmetic emulator.

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Reachability analysis for closed-loop control systems in Julia

"Programming the Finite Element Method" by I M Smith, D V Griffiths and L Margetts

Efficient storage and handling of nested arrays in Julia

"Programming the Finite Element Method" by I M Smith, D V Griffiths and L Margetts

Bijection datatype for Julia.

Symbolic Computations in Julia using Maxima

Software Defined Solid Modeling

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Julia Package for discrete-time linear Gaussian parametric filtering systems, namely KF, EKF, UKF, GM-PHD

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

A Julia library for parallel sparse matrix multiplication using shared memory

No need to train, he's a smooth operator

Tensor algebra abstract type interoperability setup