org.orekit.propagation.semianalytical.dsst.utilities

Class LnsCoefficients

java.lang.Object

org.orekit.propagation.semianalytical.dsst.utilities.LnsCoefficients

public class LnsCoefficients
extends Object

Compute the L_n^s(γ).

The fomula used is:
L_n^s(γ) = ( R / a )ⁿV_nsQ^ns(γ)

Author:

Lucian Barbulescu

Constructor Summary

Constructors

Constructor and Description
LnsCoefficients(int nMax, int sMax, double[][] Qns, TreeMap<CoefficientsFactory.NSKey,Double> Vns, double roa) Create a set of Lns(γ) coefficients.

Method Summary

Modifier and Type	Method and Description
double	getdLnsdGamma(int n, int s) Get the value of dLns / dγ (γ).
double	getLns(int n, int s) Get the value of Lns(γ).

Methods inherited from class java.lang.Object

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

Constructor Detail

LnsCoefficients

public LnsCoefficients(int nMax,
                       int sMax,
                       double[][] Qns,
                       TreeMap<CoefficientsFactory.NSKey,Double> Vns,
                       double roa)

Create a set of L_n^s(γ) coefficients.

Parameters:

nMax - maximum value for n

sMax - maximum value for s

Qns - the Q^ns(γ) coefficients

Vns - the V_ns coefficients

roa - (R / a)

Method Detail

getLns

public double getLns(int n,
                     int s)

Get the value of L_n^s(γ).

Parameters:

n - n index

s - s index

Returns:

L_n^s(γ)

getdLnsdGamma

public double getdLnsdGamma(int n,
                            int s)

Get the value of dL_n^s / dγ (γ).

Parameters:

n - n index

s - s index

Returns:

L_n^s(γ)