/* * Scalable.java * * Copyright (C) 2002-2009 Alexei Drummond and Andrew Rambaut * * This file is part of BEAST. * See the NOTICE file distributed with this work for additional * information regarding copyright ownership and licensing. * * BEAST 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 * of the License, or (at your option) any later version. * * BEAST 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 BEAST; if not, write to the * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301 USA */ package dr.inference.operators; import dr.inference.model.Bounds; import dr.inference.model.Parameter; /** * A generic interface for objects capable of scaling. * <p/> * A default impelementation for any parameter. * * @author Alexei Drummond * @author Andrew Rambaut * @version $Id: UpDownOperator.java,v 1.25 2005/06/14 10:40:34 rambaut Exp $ */ public interface Scalable { /** * @param factor scaling factor * @param nDims * @return Number of dimentions. * @throws OperatorFailedException */ int scale(double factor, int nDims) throws OperatorFailedException; /** * @return Name for display purposes. */ String getName(); public class Default implements Scalable { private final Parameter parameter; public Default(Parameter p) { this.parameter = p; } public int scale(double factor, int nDims) throws OperatorFailedException { assert nDims <= 0; final int dimension = parameter.getDimension(); for (int i = 0; i < dimension; ++i) { parameter.setParameterValue(i, parameter.getParameterValue(i) * factor); } final Bounds<Double> bounds = parameter.getBounds(); for (int i = 0; i < dimension; i++) { final double value = parameter.getParameterValue(i); if (value < bounds.getLowerLimit(i) || value > bounds.getUpperLimit(i)) { throw new OperatorFailedException("proposed value outside boundaries"); } } return dimension; } // whdc: split scale(...) into two separate methods. public int scaleDo(double factor, int nDims) throws OperatorFailedException { assert nDims <= 0; final int dimension = parameter.getDimension(); for (int i = 0; i < dimension; ++i) { parameter.setParameterValue(i, parameter.getParameterValue(i) * factor); } return dimension; } public int scaleCheck(double factor, int nDims) throws OperatorFailedException { final int dimension = parameter.getDimension(); final Bounds<Double> bounds = parameter.getBounds(); for (int i = 0; i < dimension; i++) { final double value = parameter.getParameterValue(i); if (value < bounds.getLowerLimit(i) || value > bounds.getUpperLimit(i)) { throw new OperatorFailedException("proposed value outside boundaries"); } } return dimension; } public String getName() { return parameter.getParameterName(); } /** * * This method scales values of all dimesions quitely except the last one where is also signals that * all values in all dimensions have been scaled. This prevents repeated firing of Events when in fact * only ONE parameter is changed. * */ public int scaleAllAndNotify(double factor, int nDims) throws OperatorFailedException { assert nDims <= 0; final int dimension = parameter.getDimension(); final int dimMinusOne = dimension-1; for(int i = 0; i < dimMinusOne; ++i) { parameter.setParameterValueQuietly(i, parameter.getParameterValue(i) * factor); } parameter.setParameterValueNotifyChangedAll(dimMinusOne, parameter.getParameterValue(dimMinusOne) * factor); final Bounds<Double> bounds = parameter.getBounds(); for(int i = 0; i < dimension; i++) { final double value = parameter.getParameterValue(i); if( value < bounds.getLowerLimit(i) || value > bounds.getUpperLimit(i) ) { throw new OperatorFailedException("proposed value outside boundaries"); } } return dimension; } } }