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authorJérémy Zurcher <jeremy@asynk.ch>2013-03-27 16:59:27 +0100
committerJérémy Zurcher <jeremy@asynk.ch>2013-11-15 17:38:45 +0100
commitece8b76a204847d664acb45bc5dc2e296fccc763 (patch)
tree83e05a2c252225b47a7c581c36e29a74c59f15ef /Algorithms/Part-I/5-KdTrees/Speed.java
parent60d3bf03904bc4f691d98b63ece8a1a7a482f182 (diff)
downloadcoursera-algs-I.zip
coursera-algs-I.tar.gz
Algorithms-I : 5-KdTrees: add Speed.javaalgs-I
Diffstat (limited to 'Algorithms/Part-I/5-KdTrees/Speed.java')
-rw-r--r--Algorithms/Part-I/5-KdTrees/Speed.java43
1 files changed, 43 insertions, 0 deletions
diff --git a/Algorithms/Part-I/5-KdTrees/Speed.java b/Algorithms/Part-I/5-KdTrees/Speed.java
new file mode 100644
index 0000000..ff8c535
--- /dev/null
+++ b/Algorithms/Part-I/5-KdTrees/Speed.java
@@ -0,0 +1,43 @@
+
+public class Speed
+{
+
+ public static void measure(Point2D p, KdTree k0)
+ {
+ Point2D np;
+ long t0;
+ long d0;
+
+ t0 = System.nanoTime();
+ np = k0.nearest(p);
+ d0 = System.nanoTime() - t0;
+
+ StdOut.printf("Nearest Point: %s => %s %.3f [ms]\n", p, np, d0/1000.0);
+ }
+
+ public static void main(String[] args)
+ {
+ String filename = args[0];
+ In in = new In(filename);
+
+ KdTree kdtree = new KdTree();
+ while (!in.isEmpty()) {
+ double x = in.readDouble();
+ double y = in.readDouble();
+ Point2D p = new Point2D(x, y);
+ kdtree.insert(p);
+ }
+
+ measure(new Point2D(0.5, 0.5), kdtree);
+ measure(new Point2D(0.5, 0.5), kdtree);
+ measure(new Point2D(0.3, 0.5), kdtree);
+ measure(new Point2D(0.3, 0.5), kdtree);
+ measure(new Point2D(0.5, 0.3), kdtree);
+ measure(new Point2D(0.5, 0.3), kdtree);
+ measure(new Point2D(0.2, 0.7), kdtree);
+ measure(new Point2D(0.2, 0.7), kdtree);
+ measure(new Point2D(0.1, 0.8), kdtree);
+ measure(new Point2D(0.1, 0.8), kdtree);
+
+ }
+}