Fast, continuous interpolation of discrete datasets in Julia
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Updated
May 14, 2024 - Julia
Fast, continuous interpolation of discrete datasets in Julia
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
Julia library for the string interpolation of HTML and SVG
Tools for working with Fourier space.
A collection of B-spline tools in Julia
Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs
Basic (+chebyshev) interpolation recipes in Julia
Easily smooth your data in Julia
Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.
Kriging estimators for the GeoStats.jl framework
Centripetal Catmull-Rom curves for interpoint traversal
FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.
Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
A package to create and load tabulations of functions. Supports Unitful.
Pure Julia implementation of 1D & 2D cubic Hermite spline interpolation.
Built-in solvers for the GeoStats.jl framework
Monotonic cubic interpolation in Julia
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
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