desmoj.core.dist

Interface UniformRandomGenerator

All Known Implementing Classes:

LinearCongruentialRandomGenerator, MersenneTwisterRandomGenerator

public interface UniformRandomGenerator

Interface for uniform pseudo random number generators to be used by the distribution classes to compute their samples. Random generators of this type must return uniform distributed double values. Note that two constructors have to be implemented. One constructor without parameters to construct a UniformRandomGenerator with seed zero, and another constructor with a parameter of type long to pass the initial seed value to the pseudo random generation algorithm.

Version:

DESMO-J, Ver. 2.5.1c copyright (c) 2015

Author:

Tim Lechler Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Method Summary

Modifier and Type	Method and Description
double	nextDouble() Returns the next uniform distributed [0,1] double pseudo random number from the random generator's stream.
void	setSeed(long seed) Set the seed to be used by the pseudo random number generating algorithm.

Method Detail

nextDouble

double nextDouble()

Returns the next uniform distributed [0,1] double pseudo random number from the random generator's stream.

Returns:

double : The next uniformly distributed [0,1] double value

setSeed

void setSeed(long seed)

Set the seed to be used by the pseudo random number generating algorithm. Setting the seed to a specific value forces the random generator to produce identical streams of pseudo random numbers. This is necessary to ensure that experiments in simulation can be made under identical conditions, thus enabling modelers to compare results of experiments.

Parameters:

seed - long : The seed to be used for creating the folowing stream of pseudo random numbers