Class MCPSolution

java.lang.Object
  Solution
      ParticleSolution
          MCPSolution

Direct Known Subclasses:

MCPDrawSolution

public class MCPSolution

extends ParticleSolution

MCPSolution -- contains the Monte Carlo simulations

Version:

$Revision: 1.16 $

See Also:

ParticleSolution, Solution

Field Summary

protected double[][]	currentState A vector with the position of the particles
protected boolean	distributionUpToDate Whether the distribution function is up to date
protected int	numberOfRealisations The number of test particles in the simulation
protected java.util.Random	random Random number generator
protected double	stateDensity The amount of mass each test particle represents

Fields inherited from class Solution

df, dfm, dfp, dg, dgm, dgp, dx, f, f0, fm, fp, g, gm, gp, ic, initialMoments, mesh, method, scheme, time, topic, x, x_0, x_1, xOffset, xSize, y_0, y_1, yOffset, ySize

Constructor Summary

MCPSolution(RunData runData)
Creates a MCPSolution object.

Method Summary

void	discretize(ShapeFunction function) Discretize the initial Shape function and initialize the moments Initializes a new set of particles, the number being determined by the numerical scheme parameter.
protected void	generateDistribution() Generates the distribution function from the set of test particles.
double	getValue(double arg) Linear interpolation of the solution.
double	getValue(int index) Gives the value of the function for an index
boolean	hasOption(java.lang.String option) Tells whether the solution implements a option
double[]	limits() Calculates the limits of the solution.
double	momentsDeviation(int m) Calculates the deviation from the m:th initial moment.
boolean	next(RunData runData) Advance the solution forward one step in time.
void	plot(java.awt.Canvas plotArea, java.awt.Image offScrImage, boolean headers) Plots the solution
boolean	previous(RunData runData) Take the solution backward one step to initialize 3 time level schemes; not appropriate in this context.

Methods inherited from class Solution

calculateMoments, getTime, getWinSize, incTime, limits, measure, output, rescale, setIC, setMethod, setScheme, setTime, setTopic, updateHeaders

Methods inherited from class java.lang.Object

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

Field Detail

numberOfRealisations

protected int numberOfRealisations

The number of test particles in the simulation

currentState

protected double[][] currentState

A vector with the position of the particles

stateDensity

protected double stateDensity

The amount of mass each test particle represents

distributionUpToDate

protected boolean distributionUpToDate

Whether the distribution function is up to date

random

protected java.util.Random random

Random number generator

Constructor Detail

MCPSolution

public MCPSolution(RunData runData)

Creates a MCPSolution object. discretize must be called before next is called for the first time.

Parameters:

runData - The run time parameters

See Also:

Solution.next(RunData), Solution.discretize(ShapeFunction)

Method Detail

next

public boolean next(RunData runData)

Advance the solution forward one step in time. The equation is set by the internal variable topic and the numerical scheme by the internal variable scheme

Specified by:

next in class Solution

Parameters:

runData - List of run parameters

Returns:

True if a scheme is implemented for that equation

See Also:

RunData

hasOption

public boolean hasOption(java.lang.String option)

Tells whether the solution implements a option

Specified by:

hasOption in class Solution

Parameters:

option - The the option to implement

Returns:

True if the option is implemented

See Also:

vmarket.topicNames, vmarket.schemeNames

plot

public void plot(java.awt.Canvas plotArea,
                 java.awt.Image offScrImage,
                 boolean headers)

Plots the solution

Overrides:

plot in class Solution

Parameters:

plotArea - The plot area

offScrImage - The off screen image to draw on

headers - Whether to draw headers

previous

public boolean previous(RunData runData)

Take the solution backward one step to initialize 3 time level schemes; not appropriate in this context.

Specified by:

previous in class Solution

Parameters:

runData - List of run parameters

Returns:

False since it is not used here

See Also:

RunData

discretize

public void discretize(ShapeFunction function)

Discretize the initial Shape function and initialize the moments Initializes a new set of particles, the number being determined by the numerical scheme parameter.

Specified by:

discretize in class Solution

Parameters:

function - The initial shape to be approximated

See Also:

Solution.setScheme(java.lang.String)

momentsDeviation

public double momentsDeviation(int m)

Calculates the deviation from the m:th initial moment.

Overrides:

momentsDeviation in class Solution

Parameters:

m - The order of the moment

Returns:

The deviation of the m:th moment from the beginning

limits

public double[] limits()

Calculates the limits of the solution.

Returns:

A vector consisting of {min(solution), max(solution)}

getValue

public double getValue(int index)

Gives the value of the function for an index

Overrides:

getValue in class Solution

Parameters:

index - The index for which to get the value

Returns:

The value of the distribution function at a given index

getValue

public double getValue(double arg)

Linear interpolation of the solution. Assumes a uniform mesh.

Overrides:

getValue in class Solution

Parameters:

arg - Argument

Returns:

A linear interpolation of the function for a given argument

generateDistribution

protected void generateDistribution()

Generates the distribution function from the set of test particles. Assumes a uniform mesh.