rbf

Radial Basis Function (RBF) interpolation

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rbf ===

Radial Basis Function (RBF) interpolation

Builds Radial Basis Functions for input and output values of arbitrary dimensionality using standard or custom distance functions. Installation ------------ ```bash $ npm install rbf ``` Usage ----- ```javascript var RBF = require('rbf'); var points = 0, 0, 0, 100 ; // values could be vectors of any dimensionality. // The computed interpolant function will return values or vectors accordingly. var values = 0.0, 1.0 // RBF accepts a distance function as a third parameter : // either one of the following strings or a custom distance function (defaults to 'linear'). // // - linear: r // - cubic: r3 // - quintic: r5 // - thin-plate: r2 log(r) // - gaussian: exp(-(r/epsilon) 2) // - multiquadric: sqrt((r/epsilon) 2 + 1) // - inverse-multiquadric: 1 / sqrt((r/epsilon) 2 + 1) // // epsilon can be provided as a 4th parameter. Defaults to the average // euclidean distance between points. // var rbf = RBF(points, values /, distanceFunction, epsilon /); console.log(rbf(0, 50)); // => 0.5 ``` Examples -------- Partial derivative of a gaussian, original and interpolated with 25 random samples (linear distance function). Lena, original and interpolated with 4000 random samples (about 6% of the original pixels, linear distance function).