Local, cubic interpolations in up to four dimensions
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Updated
Jul 28, 2021 - Julia
Local, cubic interpolations in up to four dimensions
My code and report of course of numerical analysis
Provides custom pure-julia numerical methods for the differentiation, interpolation, minimisation and root finding of univariate and multivariate functions.
Geostatistical models for the GeoStats.jl framework
REST API for DIVAnd
Geostatistical estimation solvers for the GeoStats.jl framework
Smoothed linear interpolation and inversion of its intiderivative.
A Julia package for univariate interpolation
1-D Normal Splines in Julia
Scalar-valued local function approximation across a real-valued vector space
Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
🍍 HTM.jl: Hyperscript Tagged Markup in Julia.
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
Built-in solvers for the GeoStats.jl framework
Monotonic cubic interpolation in Julia
Pure Julia implementation of 1D & 2D cubic Hermite spline interpolation.
Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia
A package to create and load tabulations of functions. Supports Unitful.
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.
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