## Interface MonteCarloProcess

• ### Method Summary

All Methods
Modifier and Type Method Description
MonteCarloProcess clone()
Create and return a clone of this process.
MonteCarloProcess getCloneWithModifiedData​(Map<String,​Object> dataModified)
Returns a clone of this model where the specified properties have been modified.
MonteCarloProcess getCloneWithModifiedModel​(ProcessModel model)
Returns a clone of this model where the specified properties have been modified.
int getNumberOfFactors()
int getNumberOfPaths()
IndependentIncrements getStochasticDriver()
• ### Methods inherited from interface net.finmath.montecarlo.process.Process

getModel, getMonteCarloWeights, getNumberOfComponents, getProcessValue, getProcessValue, getTime, getTimeDiscretization, getTimeIndex
• ### Method Detail

• #### getNumberOfPaths

int getNumberOfPaths()
Returns:
Returns the numberOfPaths.
• #### getNumberOfFactors

int getNumberOfFactors()
Returns:
Returns the numberOfFactors.
• #### getStochasticDriver

IndependentIncrements getStochasticDriver()
Returns:
Returns the stochastic driver used to generate this process
• #### getCloneWithModifiedModel

MonteCarloProcess getCloneWithModifiedModel​(ProcessModel model)
Returns a clone of this model where the specified properties have been modified. Note that there is no guarantee that a model reacts on a specification of a properties in the parameter map dataModified. If data is provided which is ignored by the model no exception may be thrown.
Parameters:
model - The model to be used.
Returns:
A clone of this model (or this model if no parameter was modified).
• #### getCloneWithModifiedData

MonteCarloProcess getCloneWithModifiedData​(Map<String,​Object> dataModified)
Returns a clone of this model where the specified properties have been modified. Note that there is no guarantee that a model reacts on a specification of a properties in the parameter map dataModified. If data is provided which is ignored by the model no exception may be thrown.
Parameters:
dataModified - Key-value-map of parameters to modify.
Returns:
A clone of this model (or this model if no parameter was modified).
• #### clone

MonteCarloProcess clone()
Create and return a clone of this process. The clone is not tied to any model, but has the same process specification, that is, if the model is the same, it would generate the same paths.
Specified by:
clone in interface Process
Returns:
Clone of the process