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3D models of optical elements
Software monad for Quantile Regression workflows
Interpolate data using polyharmonic splines
Generate a BSplineCurve primitive representing a circle
Interpolate data with a cubic spline
Generate a cubic B-spline curve that passes through given points
Smooth curve interpolation based on local procedures for a multiple-valued curve
Create a smooth parametrized function from a list of points with flexible control over smoothing
Generate a random surface with B-splines
Make a B-spline representation of a polynomial over an interval
Modify a BSplineCurve object to have explicit settings for certain options
A sigmoidal interpolation function
An improved sigmoidal interpolation function
Create a B-spline curve along a color gradient using two colors
Evaluate a smooth step function based on exponentials
Make a monotonic InterpolatingFunction with continuous second derivative for monotonic data
Give an image an engraved appearance
Quantile regression functions
Create a BSplineSurface primitive representing a disk
Polynomial fit of a given set of data, represented as a spline curve
Perform a pebble stone–like effect on an image
Test if a piece of a graphic is a graphics primitive
Create a polygon from a list of midpoints
Create a chain of Bézier curves that smoothly connects a list of points
Represent a spherical cap in 3D graphics
Generate interpolating nodes from points on a curve
Approximate a parametric surface with different graphics primitives
Get an approximation to a parametric curve
Interpolation and smooth curve fitting based on local procedures
Compute quantile regression fits over a time series, a list of numbers or a list of numeric pairs