HansenTesseralLinear (OREKIT 12.1.2 API)

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

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	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 dK_j^{-n-1, s} / de².
`double`	`getValue(int mnm1, double chi)`	Compute the value of the Hansen coefficient K_j^{-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