LagrangePolynomialApproximation

Functions for performing Lagrange interpolation.

staticLagrangePolynomialApproximation.getRequiredDataPoints(degree)

Given the desired degree, returns the number of data points required for interpolation.

Name	Type	Description
`degree`	Number	The desired degree of interpolation.

The number of required data points needed for the desired degree of interpolation.

staticLagrangePolynomialApproximation.interpolateOrderZero(x, xTable, yTable, yStride, result) → Number[]

Interpolates values using Lagrange Polynomial Approximation.

Name	Type	Description
`x`	Number	The independent variable for which the dependent variables will be interpolated.
`xTable`	Number[]	The array of independent variables to use to interpolate. The values in this array must be in increasing order and the same value must not occur twice in the array.
`yTable`	Number[]	The array of dependent variables to use to interpolate. For a set of three dependent values (p,q,w) at time 1 and time 2 this should be as follows: {p1, q1, w1, p2, q2, w2}.
`yStride`	Number	The number of dependent variable values in yTable corresponding to each independent variable value in xTable.
`result`	Number[]	optional An existing array into which to store the result.

The array of interpolated values, or the result parameter if one was provided.