public static double[] rowSums(IMatrix m) {
int size = Math.max(m.nCols(), m.nRows());
double toret[] = new double[size];
for (int i = 0; i < size; i++) toret[i] = 0;
for (int i = 0; i < size; i++) for (int j = 0; j < size; j++) toret[i] += m.get(i, j);
return toret;
}
/**
* Matrix transpose
*
* @param m
* @return
*/
public static IMatrix transpose(IMatrix m) {
IMatrix g = new GuavaMatrix();
for (Cell<Integer, Integer, Double> k : m.getValueRange()) {
int li = k.getRowKey();
int ri = k.getColumnKey();
g.set(ri, li, m.get(li, ri));
}
return g;
}
/**
* Matrix divide
*
* @param left
* @param r
* @return
*/
public static IMatrix div(IMatrix left, double r) {
IMatrix g = new GuavaMatrix();
for (Cell<Integer, Integer, Double> l : left.getValueRange()) {
int li = l.getRowKey();
int ri = l.getColumnKey();
g.incr(li, ri, (left.get(li, ri) / r));
}
return g;
}
public static IMatrix regularizedLaplacianMatrix(IMatrix m) {
IMatrix tmp = MatrixOp.prod(m, MatrixOp.transpose(m));
int size = tmp.nCols();
IMatrix i = diagonal(1, size);
IMatrix d = diagonal(rowSums(tmp));
IMatrix laplacian = new GuavaMatrix();
for (int ii = 0; ii < size; ii++)
for (int ji = 0; ji < size; ji++)
laplacian.set(
ii, ji, (d.get(ii, ji) - tmp.get(ii, ji)) / Math.sqrt(d.get(ii, ii) * d.get(ji, ji)));
return laplacian;
}
/**
* MAtrix difference
*
* @param left
* @param right
* @return
*/
public static IMatrix diff(IMatrix left, IMatrix right) {
Set<Cell<Integer, Integer, Double>> iter = left.getValueRange();
iter.addAll(right.getValueRange());
IMatrix g = new GuavaMatrix();
for (Cell<Integer, Integer, Double> x : iter) {
g.set(
x.getRowKey(),
x.getColumnKey(),
left.get(x.getRowKey(), x.getColumnKey()) - right.get(x.getRowKey(), x.getColumnKey()));
}
return g;
}
/**
* Matrix product
*
* @param left
* @param right
* @return
*/
public static IMatrix prod(IMatrix left, IMatrix right) {
IMatrix g = new GuavaMatrix();
double size = (left.getValueRange().size() * right.getValueRange().size());
System.out.println(size + " ~~~ ");
double i = 0;
for (Cell<Integer, Integer, Double> l : left.getValueRange()) {
int li = (Integer) l.getColumnKey();
for (Cell<Integer, Integer, Double> r : right.getValueRange()) {
int ri = (Integer) r.getRowKey();
if (li == ri) {
double lv = (Double) left.get(l.getRowKey(), l.getColumnKey());
double rv = (Double) right.get(r.getRowKey(), r.getColumnKey());
// System.out.println(lv+" "+rv+" "+lv*rv);
g.incr((Integer) l.getRowKey(), (Integer) r.getColumnKey(), lv * rv);
}
i++;
// updateProgress((double) i / (double) size);
}
}
System.out.println("Done!");
return g;
}
/**
* Matrix divide
*
* @param left
* @param right
* @return
*/
public static IMatrix div(IMatrix left, IMatrix right) {
IMatrix g = new GuavaMatrix();
for (Cell<Integer, Integer, Double> l : left.getValueRange()) {
for (Cell<Integer, Integer, Double> r : right.getValueRange()) {
int li = l.getColumnKey();
int ri = l.getRowKey();
if (li == ri) {
double lv = (Double) left.get(li, ri);
double rv = (Double) right.get(r.getRowKey(), r.getColumnKey());
// System.out.println(lv+" "+rv+" "+lv*rv);
g.incr((Integer) l.getRowKey(), (Integer) r.getColumnKey(), lv / rv);
}
}
}
return g;
}
public static IMatrix diagonal(double val, int size) {
IMatrix tmp = new GuavaMatrix();
for (int i = 0; i < size; i++) tmp.set(i, i, val);
return tmp;
}
public static IMatrix diagonal(double... d) {
IMatrix tmp = new GuavaMatrix();
for (int i = 0; i < d.length; i++) tmp.set(i, i, d[i]);
return tmp;
}