sir.sim
Class Test

java.lang.Object
  extended bysir.sim.Test
All Implemented Interfaces:
Uncmin_methods

public class Test
extends java.lang.Object
implements Uncmin_methods

Test class


Constructor Summary
Test()
           
 
Method Summary
 double f_to_minimize(double[] theta)
           
 void gradient(double[] x, double[] g)
          Gradient function, in case one wants to do numeric optimization of the likelihood.
 void hessian(double[] x, double[][] h)
          Hessian function, in case one wants to do numeric optimization of the likelihood.
static void main(java.lang.String[] argv)
           
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Test

public Test()
Method Detail

gradient

public void gradient(double[] x,
                     double[] g)
Gradient function, in case one wants to do numeric optimization of the likelihood. Contains an EMPTY body.

Specified by:
gradient in interface Uncmin_methods
Parameters:
x - The parameter (remember Fortran indexing of arrayx (starting at 1))
g - The computed gradient.

hessian

public void hessian(double[] x,
                    double[][] h)
Hessian function, in case one wants to do numeric optimization of the likelihood. Contains an EMPTY body.

Specified by:
hessian in interface Uncmin_methods
Parameters:
x - The parameter (remember indexing of arrayx (starting at 1))

f_to_minimize

public double f_to_minimize(double[] theta)
Specified by:
f_to_minimize in interface Uncmin_methods

main

public static void main(java.lang.String[] argv)