package mikera.example;

import mikera.indexz.Index;
import mikera.indexz.Indexz;
import mikera.matrixx.AMatrix;
import mikera.matrixx.Matrixx;
import mikera.matrixx.Matrix;
import mikera.matrixx.impl.SparseRowMatrix;
import mikera.util.Rand;
import mikera.vectorz.AVector;
import mikera.vectorz.impl.RepeatedElementVector;
import mikera.vectorz.impl.SparseIndexedVector;

/**
 * Demonstration class showing usage of sparse matrix functionality.
 * 
 * @author Mike
 *
 */
public class SparseMatrix {
	private static int SIZE=32000; // size of large NxN matrix
	private static int DSIZE=100; // dense elements per row in large matrix
	private static int CSIZE=200; // dense elements per row for target matrix
	private static int SSIZE=2000; // size of smaller NxN matrix
	private static long start=0;
	
	private static void printTime(String msg) {
		long now=System.currentTimeMillis();
		System.out.println(msg+(now-start)+"ms");
		startTimer();
	}
	
	private static void startTimer() {
		start=System.currentTimeMillis();
	}
	
	public static void main(String[] args) {
		// We want a SparseRowMatrix, because we are going to multiply it with a second dense matrix
		// This means that a row-oriented sparse format is better for the first matrix
		SparseRowMatrix m=SparseRowMatrix.create(SIZE,SIZE);
		
		// First task is to construct the large sparse matrix
		startTimer();
		
		for (int i=0; i