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java.lang.Objectsir.sim.Test
Test class
Constructor Summary | |
Test()
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Method Summary | |
double |
f_to_minimize(double[] theta)
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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)
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Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
public Test()
Method Detail |
public void gradient(double[] x, double[] g)
gradient
in interface Uncmin_methods
x
- The parameter (remember Fortran indexing of arrayx (starting at 1))g
- The computed gradient.public void hessian(double[] x, double[][] h)
hessian
in interface Uncmin_methods
x
- The parameter (remember indexing of arrayx (starting at 1))public double f_to_minimize(double[] theta)
f_to_minimize
in interface Uncmin_methods
public static void main(java.lang.String[] argv)
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