This package provides an interface to line search algorithms implemented in Julia.

A Julia package to contain non-standard matrix factorizations. At the moment it implements the QL, RQ, and UL factorizations, a combined Cholesky factorization with inverse, and polar decompositions. In the future it may include other factorizations such as the LQ factorization.

This package provides consistent and extensible functional programming infrastructures, and metaprogramming facilities.

The purpose of this package is to provide test problems for JuliaNLSolvers packages.

The is package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.

This package provides the @OptionalData macro and the corresponding OptData type which is a thin wrapper around a nullable value (of type UnionT, Nothing where T). It allows you to load and access globally available data at runtime in a type-stable way.

This package only contains and exports a single function realdot(x, y). It computes real(LinearAlgebra.dot(x, y)) while avoiding computing the imaginary part of LinearAlgebra.dot(x, y) if possible. The real dot product is useful when one treats complex numbers as embedded in a real vector space.

This package provides a combinatorics library for Julia, focusing mostly (as of now) on enumerative combinatorics and permutations.

Julia macros for suppressing and/or capturing output (stdout), warnings (stderr) or both streams at the same time.

This package has the purpose to print data in matrices in a human-readable format.

This package provides tools for working with categorical variables, both with unordered (nominal variables) and ordered categories (ordinal variables), optionally with missing values.

This package provides a set of custom string types of various fixed sizes. Each inline string is a custom primitive type and can benefit from being stack friendly by avoiding allocations/heap tracking in the GC. When used in an array, the elements are able to be stored inline since each one has a fixed size. Currently support inline strings from 1 byte up to 255 bytes.

Static.jl defines a limited set of statically parameterized types and a common interface that is shared between them.

This package contains types with default field values, keyword constructors and (un-)pack macros. Keyword functions can be slow in Julia, however, the normal positional constructor is also provided and could be used in performance critical code.

The goal of RangeArrays is to provide efficient and convenient array data structures where the columns of the arrays are generated (on the fly) by Ranges.

Quaternions are best known for their suitability as representations of 3D rotational orientation. They can also be viewed as an extension of complex numbers.

This package provides a convenient function form of the conditional ifelse. It is similar to Core.ifelse but it is extendable.

Jive.jl is a Julia package to help with writing tests.

This very lightweight package provides primitive functions for construction of objects.

This package provides another JSON package for Julia, with a focus on speed and slick struct mapping.

FuzzyCompletions provides fuzzy completions for a Julia runtime session.

This package compiles regular expressions into Julia code, which is then compiled into low-level machine code by the Julia compiler. The package is designed to generate very efficient code to scan large text data, which is often much faster than handcrafted code. Automa.jl can insert arbitrary Julia code that will be executed in state transitions. This makes it possible, for example, to extract substrings that match a part of a regular expression.

This package offers Python-style general formatting and c-style numerical formatting.

The DualNumbers Julia package defines the Dual type to represent dual numbers, and supports standard mathematical operations on them. Conversions and promotions are defined to allow performing operations on combinations of dual numbers with predefined Julia numeric types.