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/* Graphs.java
* =========================================================================
* This file is part of the GrInvIn project - http://www.grinvin.org
*
* Copyright (C) 2005-2008 Universiteit Gent
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 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
* General Public License for more details.
*
* A copy of the GNU General Public License can be found in the file
* LICENSE.txt provided with the source distribution of this program (see
* the META-INF directory in the source jar). This license can also be
* found on the GNU website at http://www.gnu.org/licenses/gpl.html.
*
* If you did not receive a copy of the GNU General Public License along
* with this program, contact the lead developer, or write to the Free
* Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
* 02110-1301, USA.
*/
package org.grinvin.graphs;
import java.util.logging.Logger;
import org.grinvin.util.Tridiagonal;
/**
* Provides some basic helper methods for graphs.<p>
* Note that adjacency matrix, adjacency list and distance matrix can
* also be obtained from the graph bundle directory, which may cache
* their values.
*/
public final class Graphs {
// do not instantiate this class
private Graphs() {
}
/**
* Returns a boolean adjacency matrix for the given graph. Row and column
* indices correspond to vertex indices. Entries are {@code true}
* when the corresponding vertices are adjacent (and different) and {@code false}
* otherwise.
* Note that the contents of this matrix are valid only for as long as the graph
* given as a parameter remains unaltered.
*/
public static boolean[][] booleanAdjacencyMatrix(GraphView graph) {
int n = graph.getNumberOfVertices();
boolean [][] adj = new boolean [n][n];
for (Edge edge: graph.edges()) {
int from = edge.getFirstEndpoint().getIndex();
int to = edge.getSecondEndpoint().getIndex();
adj[from][to] = true;
adj[to][from] = true;
}
return adj;
}
/**
* Returns the adjacency list representation for the given graph. The resulting array
* contains an array of neighbour indices for every vertex. The length of each array is exactly
* the valency of the corresponding vertex.
*/
public static int[][] adjacencyList(GraphView graph) {
// TODO: can this be done in a more memory efficient way?
int n = graph.getNumberOfVertices();
int[][] list = new int[n][n];
int[] valency = new int[n];
// compute
for (Edge edge: graph.edges()) {
int from = edge.getFirstEndpoint().getIndex();
int to = edge.getSecondEndpoint().getIndex();
list[to][valency[to]++] = from;
if (from != to)
list[from][valency[from]++] = to;
}
// normalize
for (int i = 0; i < n; i++) {
int v = valency[i];
int[] dest = new int[v];
System.arraycopy(list[i], 0, dest, 0, v);
list[i] =dest;
}
return list;
}
/**
* Returns the distance matrix for the given graph. Row and column
* indices correspond to vertex indices. Entries contains the distance
* between corresponding vertices or 0 when vertices are equal or
* belong to different components of the graph.
*/
public static int[][] distanceMatrix(GraphView graph) {
int n = graph.getNumberOfVertices();
int[][] dist = new int[n][n];
// compute the adjacency matrix
for (Edge edge: graph.edges()) {
int from = edge.getFirstEndpoint().getIndex();
int to = edge.getSecondEndpoint().getIndex();
dist[from][to] = 1;
dist[to][from] = 1;
}
int d = 1;
int count;
do {
int d1 = d++;
count = 0;
for (int i = 0; i < n; i++)
for (int j = i + 1; j < n; j++)
if (dist[i][j] == 0)
for (int k = 0; k < n; k++)
if (dist[i][k] == 1 && dist[j][k] == d1) {
dist[i][j] = d;
dist[j][i] = d;
count++;
break;
}
} while (count > 0);
return dist;
}
/**
* Returns the list of eigenvalues of the given graph. These are the eigenvalues
* of the adjacency matrix of the graph. The resulting array contains the
* eigenvalues in descending order.
* If an error occurs during the calculation an array with length 0 is returned.
*/
public static double[] eigenValues(GraphView graph) {
int n = graph.getNumberOfVertices();
if(n==0)
return new double[0];
double [][] adjMatrix = new double [n][n];
for (Edge edge: graph.edges()) {
int from = edge.getFirstEndpoint().getIndex();
int to = edge.getSecondEndpoint().getIndex();
adjMatrix[from][to]++;
adjMatrix[to][from]++;
}
//compute
Tridiagonal matrix = new Tridiagonal(adjMatrix);
double[] eigenValues;
try {
eigenValues = matrix.eigenvalues();
} catch(RuntimeException ex){
Logger.getLogger("org.grinvin").warning("Error while computing the eigenvalues");
eigenValues = new double[0];
}
// round
// TODO: is this necessary?
int precision = 10;
for(int i=0; i < eigenValues.length; i++){
for(int j=0; j < precision; j++)
eigenValues[i] *= 10;
eigenValues[i] = Math.round(eigenValues[i]);
for(int j=0; j < precision; j++)
eigenValues[i] /= 10;
}
//sort
for(int i=0; i < eigenValues.length; i++)
for(int j=eigenValues.length-1; j>i; j--)
if(eigenValues[j] > eigenValues[j-1]){
double tmp = eigenValues[j];
eigenValues[j] = eigenValues[j-1];
eigenValues[j-1] = tmp;
}
return eigenValues;
}
//
private static final int[] DUMMY = new int[0];
//
private static final int[] DUMMY0 = new int[] {0};
/**
* Returns the list with eccentricities for the given graph. The resulting array
* contains an integer for every vertex. If the graph is disconnected the array will
* contain Integer.MAX_VALUE for every vertex.
*/
public static int[] eccentricityList(GraphView graph) {
int[][] distanceMatrix = distanceMatrix(graph);
int n = graph.getNumberOfVertices();
if (n == 0)
return DUMMY;
else if (n==1)
return DUMMY0;
int[] ecc = new int[n];
for (int i=0; i < n; i++) {
int eccentricity = 0;
for (int j=0; j < n; j++) {
int d = distanceMatrix[i][j];
if (d == 0 && i!=j)
eccentricity=Integer.MAX_VALUE;
if ( d > eccentricity)
eccentricity = d;
}
ecc[i]=eccentricity;
}
return ecc;
}
}
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