mlSparse.setReal(4.0, 0, 1); mlSparse.setReal(2.0, 1, 0); mlSparse.setImaginary(2.0, 1, 0); mlSparse.setImaginary(6.0, 2, 1);
for (int column = 0; column < sparse.getN(); column++) { while (count < jc[column + 1]) { sparse.setImaginary(ad2[count], ir[count], column); count++;
for (int column = 0; column < sparse.getN(); column++) { while(count < jc[column+1]) { sparse.setImaginary(ad2[count], ir[count], column); count++;
for (int column = 0; column < sparse.getN(); column++) { while (count < jc[column + 1]) { sparse.setImaginary(ad2[count], ir[count], column); count++;
for (int column = 0; column < sparse.getN(); column++) { while(count < jc[column+1]) { sparse.setImaginary(ad2[count], ir[count], column); count++;
for (int column = 0; column < sparse.getN(); column++) { while (count < jc[column + 1]) { sparse.setImaginary(ad2[count], ir[count], column); count++;