adaptive 1d numerical Gauss–Kronrod integration in Julia

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

Basic numerical integration routines for presampled data.

Expectation operators for Distributions.jl objects

Nodes and modes for high order finite element methods

Is there anything we can't make Bayesian?

FEMQuad.jl package contains various of integration schemes for cartesian and tetrahedral domains. The most common integration rules are tabulated and focus is on speed. Each rule has own "label" so we can easily implement several rules with same degree. API is very simple making is easy to utilize package in different FEM projects.

A Julia package to numerically approximate 1d function integrals using any of a variety of different methods.

Grundmann-Möller n-dimensional Simplex Quadrature

Julia port of Gander & Gautschi (2000) quadrature routines

Integration of 1d presampled signals

Tabulation and computation of Gauss-Turán quadrature rules.