Computer Science 210

Data Structures

Fall 2018, Siena College

Distance BlueJ Project

Click here to download a BlueJ project for Distance.

Distance Source Code

The Java source code for Distance is below. Click on a file name to download it.

/* * Example Distance -- includes a method that returns the distance * between two points in the plane * * Jim Teresco, The College of Saint Rose, CSC 202, Fall 2012 * Updated for Siena College, CSIS 210, Fall 2016 * * $Id$ */ import java.text.DecimalFormat; import java.util.Random; public class Distance { // a method to compute the distance between two points -- takes 4 parameters // first two are (x,y) of one point, last two are (x,y) of the other public static double distance(double x1, double y1, double x2, double y2) { double xDiff = x1 - x2; double yDiff = y1 - y2; return Math.sqrt(xDiff*xDiff + yDiff*yDiff); } // a main method to try this out public static void main(String[] args) { // compute the distance between the origin and (1,0) double dist1 = distance(0,0,1,0); System.out.println("(0,0) to (1,0) is " + dist1); // compute the distance between the origin and (1,1) double dist2 = distance(0,0,1,1); System.out.println("(0,0) to (1,1) is " + dist2); // we can print the result immediately without storing it in a // variable System.out.println("(3,4) to (-2,9.7) is " + distance(3,4,-2,9.7)); // setup for random number generation and result formatting Random randGen = new Random(); DecimalFormat df = new DecimalFormat("0.000"); // now we'll compute some random distances between points in // (0,0) to (1,1) for (int count = 0; count < 10; count++) { // it's important that we generate and save random numbers // in variables for our points, because we want to make // sure we use the SAME random numbers for both the // distance computation and the printout of the points! double x1 = randGen.nextDouble(); double y1 = randGen.nextDouble(); double x2 = randGen.nextDouble(); double y2 = randGen.nextDouble(); System.out.println("(" + df.format(x1) + "," + df.format(y1) + ") to (" + df.format(x2) + "," + df.format(y2) + ") is " + df.format(distance(x1,y1,x2,y2))); } } }