LagrangePolynomialApproximation

Methods

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.

Returns:

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

Source: Core/LagrangePolynomialApproximation.js, line 24

staticLagrangePolynomialApproximation.interpolateOrderZero(x, xTable, yTable, yStride, result) → Array.<Number>

Interpolates values using Lagrange Polynomial Approximation.

Name	Type	Description
x	Number	The independent variable for which the dependent variables will be interpolated.
xTable	Array.<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	Array.<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	Array.<Number>	optional An existing array into which to store the result.

Returns:

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

Source: Core/LagrangePolynomialApproximation.js, line 41