ATMI - Atmospheric Impact Simulation
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Public Member Functions | Public Attributes | List of all members
samplings Class Reference

This class gathers more sequential realizations of the atmosphere. More...

Public Member Functions

 __init__ (self, atmospheres)
 The constructor for the class.
 
 copula (self)
 This method calculates the copula matrix.
 
 correlated_sample (self, N)
 This method samples one realization for each one of the atmospheres, inducing the correlations.
 
 correlated_sample_gaussian (self, N)
 This method samples one realization for each one of the atmospheres, inducing the correlations.
 
 covariance (self)
 This method calculates the covariance matrix for all the variables.
 
 sample (self, N)
 This method samples indipendently one realization for each one of the atmospheres, using the pdfs of their variables.
 

Public Attributes

 atmospheres
 The different realizations describing the atmosphere.
 
 values
 The values for each variable of each realization.
 

Detailed Description

This class gathers more sequential realizations of the atmosphere.

More details.

Constructor & Destructor Documentation

◆ __init__()

__init__ ( self,
atmospheres )

The constructor for the class.

Parameters
selfThe object pointer.
atmospheresThe different realizations describing the atmosphere.

Member Function Documentation

◆ copula()

copula ( self)

This method calculates the copula matrix.

Parameters
selfThe object pointer.

◆ correlated_sample()

correlated_sample ( self,
N )

This method samples one realization for each one of the atmospheres, inducing the correlations.

It not assumes gaussian probability.

Parameters
selfThe object pointer.
NThe number of desired samplings.

◆ correlated_sample_gaussian()

correlated_sample_gaussian ( self,
N )

This method samples one realization for each one of the atmospheres, inducing the correlations.

It assumes gaussian probability.

Parameters
selfThe object pointer.
NThe number of desired samplings.

◆ covariance()

covariance ( self)

This method calculates the covariance matrix for all the variables.

Parameters
selfThe object pointer.

◆ sample()

sample ( self,
N )

This method samples indipendently one realization for each one of the atmospheres, using the pdfs of their variables.

Parameters
selfThe object pointer.
NThe number of desired samplings.

Member Data Documentation

◆ atmospheres

atmospheres

The different realizations describing the atmosphere.

◆ values

values

The values for each variable of each realization.


The documentation for this class was generated from the following file: