public static String getEigenValues(GraphModel g) {
Matrix A = g.getWeightedAdjacencyMatrix();
EigenvalueDecomposition ed = A.eig();
double rv[] = ed.getRealEigenvalues();
double iv[] = ed.getImagEigenvalues();
String res = "";
for (int i = 0; i < rv.length; i++) {
if (iv[i] != 0) res += "" + round(rv[i], 3) + " + " + round(iv[i], 3) + "i";
else res += "" + round(rv[i], 3);
if (i != rv.length - 1) {
res += ",";
}
}
return res;
}
public Object calculate(GraphModel g) {
ZagrebIndexFunctions zif = new ZagrebIndexFunctions(g);
RenderTable ret = new RenderTable();
Vector<String> titles = new Vector<>();
titles.add(" E(G) ");
titles.add(" 1.1 ");
titles.add(" 1.2 ");
titles.add(" 1.3 ");
titles.add(" 1.4 ");
titles.add(" 1.5 ");
titles.add(" 1.6 ");
titles.add(" 1.7 ");
titles.add(" Eigenvalues ");
titles.add(" 2-degree sum ");
titles.add("new query");
ret.setTitles(titles);
Matrix A = g.getWeightedAdjacencyMatrix();
EigenvalueDecomposition ed = A.eig();
double rv[] = ed.getRealEigenvalues();
double sum = 0;
double detA = Math.abs(A.det());
// positiv RV
Double[] prv = new Double[rv.length];
for (int i = 0; i < rv.length; i++) {
prv[i] = Math.abs(rv[i]);
prv[i] = (double) Math.round(prv[i] * 100000d) / 100000d;
sum += prv[i];
}
Arrays.sort(prv, Collections.reverseOrder());
double maxDeg = 0;
double maxDeg2 = 0;
double minDeg = Integer.MAX_VALUE;
ArrayList<Integer> al = AlgorithmUtils.getDegreesList(g);
Collections.sort(al);
maxDeg = al.get(al.size() - 1);
if (al.size() - 2 >= 0) maxDeg2 = al.get(al.size() - 2);
else maxDeg2 = maxDeg;
minDeg = al.get(0);
if (maxDeg2 == 0) maxDeg2 = maxDeg;
double a = 0;
double b = 0;
for (Vertex v : g) {
if (g.getDegree(v) == maxDeg) a++;
if (g.getDegree(v) == minDeg) b++;
}
if (maxDeg == minDeg) b = 0;
double m = g.getEdgesCount();
double n = g.getVerticesCount();
double M12 = zif.getSecondZagreb(1);
double M21 = zif.getFirstZagreb(1);
double M22 = zif.getSecondZagreb(2);
double Mm11 = zif.getFirstZagreb(-2);
Vector<Object> v = new Vector<>();
v.add(sum);
// 1
v.add(Math.sqrt(2 * m));
// 2
v.add(
(2 * Math.sqrt(2 * m * n) * Math.sqrt(prv[0] * prv[prv.length - 1]))
/ (prv[0] + prv[prv.length - 1]));
// 3
v.add((prv[0] * prv[prv.length - 1] * n + 2 * m) / (prv[0] + prv[prv.length - 1]));
// 4
v.add(Math.sqrt(2 * m * n - (Math.pow(n * (prv[0] - prv[prv.length - 1]), 2) / 4)));
// 5
double alpha = n * Math.floor(n / 2) * (1 - (1 / n) * Math.floor(n / 2));
v.add(Math.sqrt(2 * m * n - (Math.pow((prv[0] - prv[prv.length - 1]), 2) * alpha)));
// 6
if (detA == 0) v.add(0);
else v.add(Math.sqrt(2 * m + n * (n - 1) * Math.pow(detA, 2 / n)));
// 7
double up = n * Math.pow(prv[0] - prv[prv.length - 1], 2);
double down = 4 * (prv[0] + prv[prv.length - 1]);
v.add(Math.sqrt(2 * m * n) - (up / down));
// eigenvalues
v.add(getEigenValues(g));
// 2-degree sum
v.add(Utils.getDegreeSum(g, 1));
// new query
double eigenVal_k = prv[prv.length - 1];
int cnt = prv.length - 1;
if (eigenVal_k == 0) {
while (eigenVal_k == 0) {
eigenVal_k = prv[--cnt];
}
}
int numOfNZEigenValue = 0;
for (int i = 0; i < prv.length; i++) {
if (prv[i] != 0) numOfNZEigenValue++;
}
double alpha_k =
numOfNZEigenValue
* Math.floor(numOfNZEigenValue / 2)
* (1 - (1 / numOfNZEigenValue) * Math.floor(numOfNZEigenValue / 2));
System.out.println(alpha_k + " " + numOfNZEigenValue);
System.out.println(prv[0] + " " + eigenVal_k);
v.add(Math.sqrt(2 * m * numOfNZEigenValue - (Math.pow((prv[0] - eigenVal_k), 2) * alpha_k)));
ret.add(v);
return ret;
}