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package de.lmu.ifi.dbs.elki.data;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2011
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program 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 Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import java.util.List;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Vector;
/**
* Specialized class implementing a one-dimensional double vector without using
* an array. Saves a little bit of memory, albeit we cannot avoid boxing as long as
* we want to implement the interface.
*
* @author Erich Schubert
*/
public class OneDimensionalDoubleVector extends AbstractNumberVector<OneDimensionalDoubleVector, Double> {
/**
* The actual data value
*/
double val;
/**
* Constructor.
*
* @param val Value
*/
public OneDimensionalDoubleVector(double val) {
this.val = val;
}
@Override
public int getDimensionality() {
return 1;
}
@Override
public double doubleValue(int dimension) {
assert (dimension == 1) : "Non-existant dimension accessed.";
return val;
}
@Override
public long longValue(int dimension) {
assert (dimension == 1) : "Non-existant dimension accessed.";
return (long) val;
}
@Override
public Double getValue(int dimension) {
assert (dimension == 1) : "Incorrect dimension requested for 1-dimensional vector.";
return this.val;
}
@Override
public Vector getColumnVector() {
return new Vector(new double[] { val });
}
@Override
public Matrix getRowVector() {
return new Matrix(new double[][] { { val } });
}
@Override
public OneDimensionalDoubleVector nullVector() {
return new OneDimensionalDoubleVector(0.0);
}
@Override
public OneDimensionalDoubleVector negativeVector() {
return new OneDimensionalDoubleVector(-this.val);
}
@Override
public OneDimensionalDoubleVector plus(OneDimensionalDoubleVector fv) {
return new OneDimensionalDoubleVector(this.val + fv.val);
}
@Override
public OneDimensionalDoubleVector minus(OneDimensionalDoubleVector fv) {
return new OneDimensionalDoubleVector(this.val - fv.val);
}
@Override
public Double scalarProduct(OneDimensionalDoubleVector fv) {
return this.val * fv.val;
}
@Override
public OneDimensionalDoubleVector multiplicate(double k) {
return new OneDimensionalDoubleVector(this.val * k);
}
@Override
public OneDimensionalDoubleVector newInstance(double[] values) {
assert (values.length == 1) : "Incorrect dimensionality for 1-dimensional vector.";
return new OneDimensionalDoubleVector(values[0]);
}
@Override
public OneDimensionalDoubleVector newInstance(Vector values) {
assert (values.getDimensionality() == 1) : "Incorrect dimensionality for 1-dimensional vector.";
return new OneDimensionalDoubleVector(values.get(0));
}
@Override
public OneDimensionalDoubleVector newInstance(Double[] values) {
assert (values != null) : "newInstace(null) is not allowed.";
assert (values.length == 1) : "Incorrect dimensionality for 1-dimensional vector.";
return new OneDimensionalDoubleVector(values[0]);
}
@Override
public OneDimensionalDoubleVector newInstance(List<Double> values) {
assert (values != null) : "newInstace(null) is not allowed.";
assert (values.size() == 1) : "Incorrect dimensionality for 1-dimensional vector.";
return new OneDimensionalDoubleVector(values.get(0));
}
}
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