A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
OTHER License
Interpolations making use of cached data
A shape preserving spline implementation in Julia
Probabilistic programming via source rewriting
A collection of numerical algorithms for Julia.
Calculus functions in Julia
Julia package for function approximation
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
Algebraic Multigrid in Julia
Abstract operators for large scale optimization in Julia
Fast, continuous interpolation of discrete datasets in Julia
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Julia package for Schur decomposition of matrices with generic element types
A common interface for quadrature and numerical integration for the SciML scientific machine lear...
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with poly...