Introduction
The InterpolationKernels package provides a library of interpolation kernels for Julia. As suggested by their name, interpolations kernels are mostly designed for interpolation, they can be thought as smart functions that know their derivative and that implement optimized computation of interpolation weights.
The source code is on GitHub.
Table of contents
- Installation
- Basic usage
- Kernels
- Rectangular interpolation kernel
- Triangular interpolation kernel
- Quadratic B-spline
- Cubic B-spline
- Cubic splines
- Cardinal cubic splines
- Catmull & Rom kernel
- Mitchell & Netravali kernels
- Lanczos re-sampling kernels
- Interpolation
- Reference
Index
InterpolationKernels.BSplineInterpolationKernels.BSplinePrimeInterpolationKernels.CardinalCubicSplineInterpolationKernels.CardinalCubicSplinePrimeInterpolationKernels.CatmullRomSplineInterpolationKernels.CatmullRomSplinePrimeInterpolationKernels.CubicSplineInterpolationKernels.CubicSplinePrimeInterpolationKernels.KernelInterpolationKernels.LanczosKernelInterpolationKernels.LanczosKernelPrimeInterpolationKernels.LeftAnchoredSupportInterpolationKernels.MitchellNetravaliSplineInterpolationKernels.MitchellNetravaliSplinePrimeInterpolationKernels.RightAnchoredSupportInterpolationKernels.SupportInterpolationKernels.SymmetricSupportInterpolationKernels.briefInterpolationKernels.compute_offset_and_weightsInterpolationKernels.compute_weightsInterpolationKernels.infimumInterpolationKernels.iscardinalInterpolationKernels.isnormalizedInterpolationKernels.supportInterpolationKernels.supremum