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

Simple, consistent interfaces for any codec.

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

A data structure for mathematical optimization problems

A benchmarking framework for the Julia language

Reduce time-to-first-execution of Julia code

Compatibility across Julia versions

Extensions for Julia's docsystem.

Create NLPModels with JuMP

Linear Operators for Julia

JSON parsing and printing

Statically sized arrays for Julia

Interface for arithmetics on mutable types in Julia

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

Data Structures for Optimization Models

Julia implementation of associative containers that preserve insertion order

Interface for function inversion in Julia

SparseArrays.jl is a Julia stdlib

Naïve combined subexpression elimination in Julia

Interface for transformation functions in Julia

A simple shared suite of common derivative definitions

Special mathematical functions in Julia

Faster closure variable capture

Zlib codecs for TranscodingStreams.jl.

A bzip2 codec for TranscodingStreams.jl.

Project Preferences Package

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

Defines additional irrationals

Interface package for StaticArrays.jl

Fast parsing machinery for basic types in Julia

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Lazy code loading for Julia

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

Light-weight expression manipulation tools

A package which provides an API for querying differentiation results at multiple orders simultaneously