144 lines
5.0 KiB
Java
144 lines
5.0 KiB
Java
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/*************************************************************************
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* Compilation: javac ClosestPair.java
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* Execution: java ClosestPair < input.txt
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* Dependencies: Point2D.java
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*
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* Given N points in the plane, find the closest pair in N log N time.
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*
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* Note: could speed it up by comparing square of Euclidean distances
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* instead of Euclidean distances.
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*
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*************************************************************************/
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import java.util.Arrays;
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import edu.princeton.cs.introcs.StdIn;
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import edu.princeton.cs.introcs.StdOut;
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public class ClosestPair {
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// closest pair of points and their Euclidean distance
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private Point2D best1, best2;
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private double bestDistance = Double.POSITIVE_INFINITY;
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public ClosestPair(Point2D[] points) {
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int N = points.length;
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if (N <= 1) return;
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// sort by x-coordinate (breaking ties by y-coordinate)
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Point2D[] pointsByX = new Point2D[N];
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for (int i = 0; i < N; i++) pointsByX[i] = points[i];
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Arrays.sort(pointsByX, Point2D.X_ORDER);
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// check for coincident points
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for (int i = 0; i < N-1; i++) {
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if (pointsByX[i].equals(pointsByX[i+1])) {
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bestDistance = 0.0;
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best1 = pointsByX[i];
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best2 = pointsByX[i+1];
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return;
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}
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}
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// sort by y-coordinate (but not yet sorted)
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Point2D[] pointsByY = new Point2D[N];
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for (int i = 0; i < N; i++) pointsByY[i] = pointsByX[i];
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// auxiliary array
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Point2D[] aux = new Point2D[N];
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closest(pointsByX, pointsByY, aux, 0, N-1);
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}
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// find closest pair of points in pointsByX[lo..hi]
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// precondition: pointsByX[lo..hi] and pointsByY[lo..hi] are the same sequence of points
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// precondition: pointsByX[lo..hi] sorted by x-coordinate
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// postcondition: pointsByY[lo..hi] sorted by y-coordinate
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private double closest(Point2D[] pointsByX, Point2D[] pointsByY, Point2D[] aux, int lo, int hi) {
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if (hi <= lo) return Double.POSITIVE_INFINITY;
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int mid = lo + (hi - lo) / 2;
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Point2D median = pointsByX[mid];
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// compute closest pair with both endpoints in left subarray or both in right subarray
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double delta1 = closest(pointsByX, pointsByY, aux, lo, mid);
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double delta2 = closest(pointsByX, pointsByY, aux, mid+1, hi);
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double delta = Math.min(delta1, delta2);
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// merge back so that pointsByY[lo..hi] are sorted by y-coordinate
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merge(pointsByY, aux, lo, mid, hi);
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// aux[0..M-1] = sequence of points closer than delta, sorted by y-coordinate
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int M = 0;
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for (int i = lo; i <= hi; i++) {
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if (Math.abs(pointsByY[i].x() - median.x()) < delta)
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aux[M++] = pointsByY[i];
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}
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// compare each point to its neighbors with y-coordinate closer than delta
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for (int i = 0; i < M; i++) {
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// a geometric packing argument shows that this loop iterates at most 7 times
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for (int j = i+1; (j < M) && (aux[j].y() - aux[i].y() < delta); j++) {
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double distance = aux[i].distanceTo(aux[j]);
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if (distance < delta) {
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delta = distance;
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if (distance < bestDistance) {
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bestDistance = delta;
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best1 = aux[i];
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best2 = aux[j];
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// StdOut.println("better distance = " + delta + " from " + best1 + " to " + best2);
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}
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}
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}
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}
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return delta;
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}
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public Point2D either() { return best1; }
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public Point2D other() { return best2; }
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public double distance() {
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return bestDistance;
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}
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// is v < w ?
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private static boolean less(Comparable v, Comparable w) {
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return (v.compareTo(w) < 0);
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}
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// stably merge a[lo .. mid] with a[mid+1 ..hi] using aux[lo .. hi]
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// precondition: a[lo .. mid] and a[mid+1 .. hi] are sorted subarrays
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private static void merge(Comparable[] a, Comparable[] aux, int lo, int mid, int hi) {
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// copy to aux[]
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for (int k = lo; k <= hi; k++) {
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aux[k] = a[k];
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}
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// merge back to a[]
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int i = lo, j = mid+1;
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for (int k = lo; k <= hi; k++) {
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if (i > mid) a[k] = aux[j++];
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else if (j > hi) a[k] = aux[i++];
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else if (less(aux[j], aux[i])) a[k] = aux[j++];
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else a[k] = aux[i++];
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}
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}
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public static void main(String[] args) {
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int N = StdIn.readInt();
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Point2D[] points = new Point2D[N];
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for (int i = 0; i < N; i++) {
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double x = StdIn.readDouble();
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double y = StdIn.readDouble();
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points[i] = new Point2D(x, y);
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}
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ClosestPair closest = new ClosestPair(points);
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StdOut.println(closest.distance() + " from " + closest.either() + " to " + closest.other());
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}
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}
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