LagrangePolynomialApproximation - Cesium Documentation

# LagrangePolynomialApproximation

An `InterpolationAlgorithm` for performing Lagrange interpolation.

Source: Core/LagrangePolynomialApproximation.js, line 14

### 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