Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
MIT License
ODE integration using Taylor's method, and more, in Julia
Kernel density estimators for Julia
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Julia package for function approximation
Library for simple upwind finite differences
A Julia library of summation-by-parts (SBP) operators used in finite difference, Fourier pseudosp...
Interpolations making use of cached data
Cross-architecture parallel algorithms for Julia's GPU backends, from a unified KernelAbstraction...
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
Fast operator-overloading Jacobian & Hessian sparsity detection.
Implementation of a Partial Least Squares Regressor
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with poly...
Fast, continuous interpolation of discrete datasets in Julia
Finite-element toolbox in Julia
Structure-preserving numerical methods for dispersive shallow water models