org.orekit.propagation.semianalytical.dsst.utilities.hansen

Class HansenTesseralLinear

java.lang.Object

org.orekit.propagation.semianalytical.dsst.utilities.hansen.HansenTesseralLinear

public class HansenTesseralLinear
extends Object

Hansen coefficients K(t,n,s) for t!=0 and n < 0.

Implements Collins 4-236 or Danielson 2.7.3-(9) for Hansen Coefficients and Collins 4-240 for derivatives. The recursions are transformed into composition of linear transformations to obtain the associated polynomials for coefficients and their derivatives - see Petre's paper

Author:

Petre Bazavan, Lucian Barbulescu

Constructor Summary

Constructors

Constructor and Description
HansenTesseralLinear(int nMax, int s, int j, int n0, int maxHansen) Constructor.

Method Summary

Modifier and Type	Method and Description
void	computeInitValues(double e2, double chi, double chi2) Compute the values for the first four coefficients and their derivatives by means of series.
double	getDerivative(int mnm1, double chi) Compute the value of the derivative dKj-n-1, s / de².
double	getValue(int mnm1, double chi) Compute the value of the Hansen coefficient Kj-n-1, s.

Methods inherited from class java.lang.Object

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

Constructor Detail

HansenTesseralLinear

public HansenTesseralLinear(int nMax,
                            int s,
                            int j,
                            int n0,
                            int maxHansen)

Constructor.

Parameters:

nMax - the maximum (absolute) value of n parameter

s - s parameter

j - j parameter

n0 - the minimum (absolute) value of n

maxHansen - maximum power of e2 in Hansen expansion

Method Detail

computeInitValues

public void computeInitValues(double e2,
                              double chi,
                              double chi2)

Compute the values for the first four coefficients and their derivatives by means of series.

Parameters:

e2 - e²

chi - Χ

chi2 - Χ²

getValue

public double getValue(int mnm1,
                       double chi)

Compute the value of the Hansen coefficient K_j^{-n-1, s}.

Parameters:

mnm1 - -n-1

chi - χ

Returns:

the coefficient K_j^{-n-1, s}

getDerivative

public double getDerivative(int mnm1,
                            double chi)

Compute the value of the derivative dK_j^{-n-1, s} / de².

Parameters:

mnm1 - -n-1

chi - χ

Returns:

the derivative dK_j^{-n-1, s} / de²