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Symmetry data and utilities related to crystallography and X-ray scattering
Quantile regression functions
Functions for making software monads
Software monad for Quantile Regression workflows
Interpolate data with a monotonic piecewise cubic Hermite interpolant
Transfinite interpolation of functions representing boundary curves of a surface
Create an interpolation augmented with first derivatives of circles through consecutive point triples
Find a rational interpolation of a function
Interpolation and smooth curve fitting based on local procedures
Perform interpolation in n-dimensional space for irregularly spaced data
Construct an interpolating polynomial approximation of a function using the Padua points
Make a monotonic InterpolatingFunction with continuous second derivative for monotonic data
Interpolate over values given at the vertices of a polygon
Find a rational interpolation of a function defined parametrically
Interpolate data using Akima's method or modifications of it
Evaluate the piecewise spherical linear interpolant of given data
Interpolate data using polyharmonic splines
Interpolate data with a cubic spline
A sigmoidal interpolation function
An improved sigmoidal interpolation function
Generate Padua points for bivariate interpolation and cubature
Evaluate a smooth step function based on exponentials
Smooth curve interpolation based on local procedures for a multiple-valued curve
Convert an InterpolatingFunction to a Piecewise representation
Generate a biarc through two points
Make a B-spline representation of a polynomial over an interval
Generate a cubic B-spline curve that passes through given points
Find an economized rational approximation to a function
Find a mini-max approximation of a function defined parametrically
Generate the companion matrix for the Newton interpolating polynomial of a given set of points
Find a mini-max approximation of a function
Obtain the domain of an InterpolatingFunction object
Compute the control points of a Bézier curve that interpolates a given set of points
Calculate integer 2D point locations along a line using Bresenham's method
Generate interpolating nodes from points on a curve
Numerically integrate a function using the Padua points
Extract data from an InterpolatingFunction object
Interpolate from built-in thermodynamic data at various temperatures and pressures
Get a named easing function, representing rate of change of a parameter over time
Creation of- and classification with ensembles of classifiers
Smooth noisy data using local regression
Explore the properties of a Stirling cycle, from expansion curves to efficiency
Morph an image from one shape into another
Evaluate a finite orthogonal polynomial series
Evaluate Euler's false logarithmic series
Compute the Dixon resultant with respect to a set of polynomials and variables