Sampler

The Sampler class is an abstract base class for creating objects for generating a matrix of random numbers; the matrix is an arbitrary size that must be defined by the child object by calling the setNumberOfRows and setNumberOfCols methods within the constructor of the child class. The other requirement is to override the pure virtual computeSample method. This method has global row and column index as input and must output a single value for populating the sample data matrix.

Support for Sampler objects within the framework is minimal, please refer to the Stochastic Tools documentation for more information and example use.