org.cesiumjs.cs.core.interpolation

Class LinearApproximation

java.lang.Object

org.cesiumjs.cs.core.interpolation.LinearApproximation

All Implemented Interfaces:

InterpolationAlgorithm

@JsType(isNative=true)
public class LinearApproximation
extends Object
implements InterpolationAlgorithm

An InterpolationAlgorithm for performing linear interpolation.

Author:

Serge Silaev aka iSergio

Constructor Summary

Constructors

Constructor and Description
LinearApproximation()

Method Summary

Modifier and Type	Method and Description
static int	getRequiredDataPoints(double degree) Given the desired degree, returns the number of data points required for interpolation.
static LinearApproximation	instance() Get instance if algorithm.
static double[]	interpolateOrderZero(double x, double[] xTable, double[] yTable, double yStride) Interpolates values using Lagrange Polynomial Approximation.
static double[]	interpolateOrderZero(double x, double[] xTable, double[] yTable, double yStride, double[] result) Interpolates values using Lagrange Polynomial Approximation.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LinearApproximation

public LinearApproximation()

Method Detail

instance

@JsProperty(namespace="Cesium",
            name="LinearApproximation")
public static LinearApproximation instance()

Get instance if algorithm. In this moment i don't invented more

Returns:

Instance instance. See example.

getRequiredDataPoints

@JsMethod(namespace="Cesium.LinearApproximation")
public static int getRequiredDataPoints(double degree)

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

Parameters:

degree - The desired degree of interpolation.

Returns:

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

interpolateOrderZero

@JsMethod(namespace="Cesium.LinearApproximation")
public static double[] interpolateOrderZero(double x,
                                                                                              double[] xTable,
                                                                                              double[] yTable,
                                                                                              double yStride)

Interpolates values using Lagrange Polynomial Approximation.

Parameters:

x - The independent variable for which the dependent variables will be interpolated.

xTable - 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 - 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 - The number of dependent variable values in yTable corresponding to each independent variable value in xTable.

Returns:

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

interpolateOrderZero

@JsMethod(namespace="Cesium.LinearApproximation")
public static double[] interpolateOrderZero(double x,
                                                                                              double[] xTable,
                                                                                              double[] yTable,
                                                                                              double yStride,
                                                                                              double[] result)

Interpolates values using Lagrange Polynomial Approximation.

Parameters:

x - The independent variable for which the dependent variables will be interpolated.

xTable - 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 - 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 - The number of dependent variable values in yTable corresponding to each independent variable value in xTable.

result - An existing array into which to store the result.

Returns:

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