hydroScalingAPI.util.ordDiffEqSolver
Class Rossler

java.lang.Object
  hydroScalingAPI.util.ordDiffEqSolver.Rossler

All Implemented Interfaces:

BasicFunction

public class Rossler
extends java.lang.Object
implements BasicFunction

A sample implementation of the BasicFunction with the equations for the Rossler attractor (See Chaos literature). Also see examples hydroScalingAPI.examples.ordDiffEqns

Author:

Ricardo Mantilla

Constructor Summary

Rossler(float a, float b, float c)
Creates new Rossler

Method Summary

double[]	eval(double[] input) The double version of the Lorenz equations
double[]	eval(double[] input, double time) The double version of the Lorenz equations since eqns are time independent
float[]	eval(float[] input) The float version of the Lorenz equations
float[]	eval(float[] input, float time) The float version of the Lorenz equations since eqns are time independent

Methods inherited from class java.lang.Object

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

Constructor Detail

Rossler

public Rossler(float a,
               float b,
               float c)

Creates new Rossler

Parameters:

a - The parameter a

b - The parameter b

c - The parameter c

Method Detail

eval

public float[] eval(float[] input)

The float version of the Lorenz equations

Specified by:

eval in interface BasicFunction

Parameters:

input - The values where the function is to be evaluated

Returns:

The value of the function

eval

public float[] eval(float[] input,
                    float time)

The float version of the Lorenz equations since eqns are time independent

Specified by:

eval in interface BasicFunction

Parameters:

input - The values where the function is to be evaluated

time - The time at which the function is to be evaluated

Returns:

The value of the function

eval

public double[] eval(double[] input)

The double version of the Lorenz equations

Specified by:

eval in interface BasicFunction

Parameters:

input - The values where the function is to be evaluated

Returns:

The value of the function

eval

public double[] eval(double[] input,
                     double time)

The double version of the Lorenz equations since eqns are time independent

Specified by:

eval in interface BasicFunction

Parameters:

input - The values where the function is to be evaluated

time - The time at which the function is to be evaluated

Returns:

The value of the function