net.sf.cpsolver.studentsct.filter
Class RandomStudentFilter

java.lang.Object
  net.sf.cpsolver.studentsct.filter.RandomStudentFilter

All Implemented Interfaces:

StudentFilter

public class RandomStudentFilter
extends Object
implements StudentFilter

This student filter accepts every student with the given probability. The choice for each student is remembered, i.e., if the student is passed to the filter multiple times the same answer is returned.

Version:

StudentSct 1.1 (Student Sectioning)
Copyright (C) 2007 Tomáš Müller
muller@unitime.org
Lazenska 391, 76314 Zlin, Czech Republic

This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA

Constructor Summary

RandomStudentFilter(double prob)
Constructor

Method Summary

boolean	accept(Student student) A student is accepted with the given probability
void	setProbability(double prob) Set acceptance probability.

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomStudentFilter

public RandomStudentFilter(double prob)

Constructor

Parameters:

prob - probability of acceptance of a student

Method Detail

accept

public boolean accept(Student student)

A student is accepted with the given probability

Specified by:

accept in interface StudentFilter

setProbability

public void setProbability(double prob)

Set acceptance probability. Update the sets of accepted and rejected students accordingly.

Parameters:

prob - new acceptance probability