Module: HermitePolynomialApproximation

An InterpolationAlgorithm for performing Hermite interpolation.
Source:

Methods

(static) getRequiredDataPoints(degree, inputOrderopt) → {Number}

Given the desired degree, returns the number of data points required for interpolation.
Parameters:
Name Type Attributes Default Description
degree Number The desired degree of interpolation.
inputOrder Number <optional>
0 The order of the inputs (0 means just the data, 1 means the data and its derivative, etc).
Source:
Throws:
Returns:
The number of required data points needed for the desired degree of interpolation.
Type
Number

(static) interpolate(x, xTable, yTable, yStride, inputOrder, outputOrder, resultopt) → {Array.<Number>}

Interpolates values using Hermite Polynomial Approximation.
Parameters:
Name Type Attributes 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.
inputOrder Number The number of derivatives supplied for input.
outputOrder Number The number of derivatives desired for output.
result Array.<Number> <optional>
An existing array into which to store the result.
Source:
Returns:
The array of interpolated values, or the result parameter if one was provided.
Type
Array.<Number>

(static) interpolateOrderZero(x, xTable, yTable, yStride, resultopt) → {Array.<Number>}

Interpolates values using Hermite Polynomial Approximation.
Parameters:
Name Type Attributes 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.
Source:
Returns:
The array of interpolated values, or the result parameter if one was provided.
Type
Array.<Number>