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  • Coursera Algorithms Programming Assignment 5: Kd-Trees (98分)

    题目地址:http://coursera.cs.princeton.edu/algs4/assignments/kdtree.html

    分析:

    Brute-force implementation. 蛮力实现的方法比较简单,就是逐个遍历每个point进行比较,实现下述API就可以了,没有什么难度。

     1 import java.util.ArrayList;
     2 import java.util.TreeSet;
     3 import edu.princeton.cs.algs4.Point2D;
     4 import edu.princeton.cs.algs4.RectHV;
     5 import edu.princeton.cs.algs4.StdDraw;
     6 /**
     7  * @author evasean www.cnblogs.com/evasean/
     8  */
     9 public class PointSET {
    10     private TreeSet<Point2D> points;
    11     public PointSET() {
    12         // construct an empty set of points
    13         points = new TreeSet<Point2D>();
    14     }
    15 
    16     public boolean isEmpty() {
    17         // is the set empty?
    18         return points.isEmpty();
    19     }
    20 
    21     public int size() {
    22         // number of points in the set
    23         return points.size();
    24     }
    25 
    26     public void insert(Point2D p) {
    27         // add the point to the set (if it is not already in the set)
    28         if(p==null)
    29             throw new IllegalArgumentException("Point2D p is not illegal!");
    30         if(!points.contains(p))
    31             points.add(p);
    32     }
    33 
    34     public boolean contains(Point2D p) {
    35         // does the set contain point p?
    36         if(p==null)
    37             throw new IllegalArgumentException("Point2D p is not illegal!");
    38         return points.contains(p);
    39     }
    40 
    41     public void draw() {
    42         // draw all points to standard draw
    43         for (Point2D p : points) {
    44             p.draw();
    45         }
    46         StdDraw.show();
    47     }
    48 
    49     public Iterable<Point2D> range(RectHV rect) {
    50         // all points that are inside the rectangle (or on the boundary)
    51         if(rect==null)
    52             throw new IllegalArgumentException("RectHV rect is not illegal!");
    53         ArrayList<Point2D> list = new ArrayList<Point2D>();
    54         for(Point2D point : points){
    55             if(rect.contains(point)) list.add(point);
    56         }
    57         return list;
    58     }
    59 
    60     public Point2D nearest(Point2D p) {
    61         // a nearest neighbor in the set to point p; null if the set is empty
    62         if(p==null)
    63             throw new IllegalArgumentException("Point2D p is not illegal!");
    64         if(points.size() == 0) return null;
    65         double neareatDistance = Double.POSITIVE_INFINITY;
    66         Point2D nearest = null;
    67         for(Point2D point : points){
    68             double tmp = p.distanceTo(point);
    69             if(Double.compare(neareatDistance, tmp) == 1){
    70                 neareatDistance = tmp;
    71                 nearest = point;
    72             }
    73                 
    74         }
    75         return nearest;
    76     }
    77 
    78     public static void main(String[] args) {
    79         // unit testing of the methods (optional)
    80     }
    81 }

    2d-tree implementation.

    kd-tree插入时要交替以x坐标和y坐标作为判断依据,比如root节点处比较依据为x坐标,那么当要查找或插入一个新节点point时,比较root节点的x坐标和point的x坐标,如果后者比前者小,那么下一次要比较的就是root->left, 相反下一次要比较的就是root->right。进入下一层级之后,就要使用y坐标作为比较依据。示例如下图:

     

    区域搜索:查找落在给定矩阵区域范围内的所有points。从root开始递归查找,如果给定的矩阵不与当前节点的相关矩阵相交,那么就没有必要继续查找该节点及其子树了。

    最近节点搜索:查找与给定point距离最近的节点。从root开始递归查找其左右子树,如果给定节点point和已经查找到的最近节点的距离比该point与当前遍历节点的相关矩阵距离还近,那么就没必要遍历这个当前节点及其子树了。

      1 import java.util.ArrayList;
      2 import edu.princeton.cs.algs4.Point2D;
      3 import edu.princeton.cs.algs4.RectHV;
      4 import edu.princeton.cs.algs4.StdDraw;
      5 /**
      6  * @author evasean www.cnblogs.com/evasean/
      7  */
      8 public class KdTree {
      9     private Node root;
     10     private class Node {
     11         private Point2D p;
     12         /*
     13          * 节点的value就是包含该节点的矩形空间 其左右子树的矩形空间,就是通过该节点进行水平切分或垂直切分的两个子空间
     14          */
     15         private RectHV rect;
     16         private Node left, right;
     17         private int size;
     18         private boolean xCoordinate; // 标识该节点是否是以x坐标垂直切分
     19 
     20         public Node(Point2D point, RectHV rect, int size, boolean xCoordinate) {
     21             this.p = point;
     22             this.rect = rect;
     23             this.size = size;
     24             this.xCoordinate = xCoordinate;
     25         }
     26     }
     27 
     28     public KdTree() {
     29         // construct an empty set of points
     30     }
     31 
     32     public boolean isEmpty() {
     33         // is the set empty?
     34         return size() == 0;
     35     }
     36 
     37     public int size() {
     38         // number of points in the set
     39         return size(root);
     40     }
     41 
     42     private int size(Node x) {
     43         if (x == null)
     44             return 0;
     45         else
     46             return x.size;
     47     }
     48 
     49     public void insert(Point2D p) {
     50         // add the point to the set (if it is not already in the set)
     51         if (p == null)
     52             throw new IllegalArgumentException("Point2D p is not illegal!");
     53         if (root == null)
     54             root = new Node(p, new RectHV(0.0, 0.0, 1.0, 1.0), 1, true);
     55         else
     56             insert(root, p);
     57         // System.out.println("size="+root.size);
     58     }
     59 
     60     private void insert(Node x, Point2D p) {
     61         if (x.xCoordinate == true) { // x的切分标志是x坐标
     62             int cmp = Double.compare(p.x(), x.p.x());
     63             if (cmp == -1) {
     64                 if (x.left != null)
     65                     insert(x.left, p);
     66                 else {
     67                     RectHV parent = x.rect;
     68                     // 将节点x的矩形空间进行垂直切分后的左侧部分
     69                     double newXmin = parent.xmin();
     70                     double newYmin = parent.ymin();
     71                     double newXmax = x.p.x();
     72                     double newYmax = parent.ymax();
     73                     x.left = new Node(p, new RectHV(newXmin, newYmin, newXmax, newYmax), 1, false);
     74                 }
     75             } else if (cmp == 1) {
     76                 if (x.right != null)
     77                     insert(x.right, p);
     78                 else {
     79                     RectHV parent = x.rect;
     80                     // 将节点x的矩形空间进行垂直切分后的右侧部分
     81                     double newXmin = x.p.x();
     82                     double newYmin = parent.ymin();
     83                     double newXmax = parent.xmax();
     84                     double newYmax = parent.ymax();
     85                     x.right = new Node(p, new RectHV(newXmin, newYmin, newXmax, newYmax), 1, false);
     86                 }
     87             } else { // x.key.x() 与 p.x() 相等
     88                 int cmp2 = Double.compare(p.y(), x.p.y());
     89                 if (cmp2 == -1) {
     90                     if (x.left != null)
     91                         insert(x.left, p);
     92                     else {
     93                         x.left = new Node(p, x.rect, 1, false);
     94                     }
     95                 } else if (cmp2 == 1) {
     96                     if (x.right != null)
     97                         insert(x.right, p);
     98                     else {
     99                         x.right = new Node(p, x.rect, 1, false);
    100                     }
    101                 }
    102             }
    103         } else { // x的切分标志是y坐标
    104             int cmp = Double.compare(p.y(), x.p.y());
    105             if (cmp == -1) {
    106                 if (x.left != null)
    107                     insert(x.left, p);
    108                 else {
    109                     RectHV parent = x.rect;
    110                     // 将节点x的矩形空间进行垂直切分后的左侧部分
    111                     double newXmin = parent.xmin();
    112                     double newYmin = parent.ymin();
    113                     double newXmax = parent.xmax();
    114                     double newYmax = x.p.y();
    115                     x.left = new Node(p, new RectHV(newXmin, newYmin, newXmax, newYmax), 1, true);
    116                 }
    117             } else if (cmp == 1) {
    118                 if (x.right != null)
    119                     insert(x.right, p);
    120                 else {
    121                     RectHV parent = x.rect;
    122                     // 将节点x的矩形空间进行垂直切分后的左侧部分
    123                     double newXmin = parent.xmin();
    124                     double newYmin = x.p.y();
    125                     double newXmax = parent.xmax();
    126                     double newYmax = parent.ymax();
    127                     x.right = new Node(p, new RectHV(newXmin, newYmin, newXmax, newYmax), 1, true);
    128                 }
    129             } else { // x.key.y() 与 p.y()相等
    130                 int cmp2 = Double.compare(p.x(), x.p.x());
    131                 if (cmp2 == -1) {
    132                     if (x.left != null)
    133                         insert(x.left, p);
    134                     else {
    135                         x.left = new Node(p, x.rect, 1, true);
    136                     }
    137                 } else if (cmp2 == 1) {
    138                     if (x.right != null)
    139                         insert(x.right, p);
    140                     else {
    141                         x.right = new Node(p, x.rect, 1, true);
    142                     }
    143                 }
    144             }
    145         }
    146         x.size = 1 + size(x.left) + size(x.right);
    147     }
    148 
    149     public boolean contains(Point2D p) {
    150         // does the set contain point p?
    151         if (p == null)
    152             throw new IllegalArgumentException("Point2D p is not illegal!");
    153         return contains(root, p);
    154     }
    155 
    156     private boolean contains(Node x, Point2D p) {
    157         if(x == null ) return false;
    158         if (x.p.equals(p))
    159             return true;
    160         else {
    161             if(x.xCoordinate == true){
    162                 int cmp = Double.compare(p.x(), x.p.x());
    163                 if(cmp == -1) return contains(x.left,p);
    164                 else if(cmp == 1 ) return contains(x.right,p);
    165                 else{
    166                     int cmp2 = Double.compare(p.y(), x.p.y());
    167                     if(cmp2 == -1) return contains(x.left,p);
    168                     else if(cmp2 == 1 ) return contains(x.right,p);
    169                     else return true;
    170                 }
    171             }else{
    172                 int cmp = Double.compare(p.y(), x.p.y());
    173                 if(cmp == -1) return contains(x.left,p);
    174                 else if(cmp == 1 ) return contains(x.right,p);
    175                 else{
    176                     int cmp2 = Double.compare(p.x(), x.p.x());
    177                     if(cmp2 == -1) return contains(x.left,p);
    178                     else if(cmp2 == 1 ) return contains(x.right,p);
    179                     else return true;
    180                 }    
    181             }
    182         }
    183     }
    184 
    185     public void draw() {
    186         // draw all points to standard draw
    187         StdDraw.setXscale(0, 1);
    188         StdDraw.setYscale(0, 1);
    189         draw(root);
    190     }
    191 
    192     private void draw(Node x) {
    193         if (x == null)
    194             return;
    195         StdDraw.setPenColor(StdDraw.BLACK);
    196         StdDraw.setPenRadius(0.01);
    197         x.p.draw();
    198         if (x.xCoordinate == true) {
    199             StdDraw.setPenColor(StdDraw.RED);
    200             StdDraw.setPenRadius();
    201             Point2D start = new Point2D(x.p.x(), x.rect.ymin());
    202             Point2D end = new Point2D(x.p.x(), x.rect.ymax());
    203             start.drawTo(end);
    204         } else {
    205             StdDraw.setPenColor(StdDraw.BLUE);
    206             StdDraw.setPenRadius();
    207             Point2D start = new Point2D(x.rect.xmin(), x.p.y());
    208             Point2D end = new Point2D(x.rect.xmax(), x.p.y());
    209             start.drawTo(end);
    210         }
    211         draw(x.left);
    212         draw(x.right);
    213     }
    214 
    215     public Iterable<Point2D> range(RectHV rect) {
    216         // all points that are inside the rectangle (or on the boundary)
    217         if (rect == null)
    218             throw new IllegalArgumentException("RectHV rect is not illegal!");
    219         if (root != null)
    220             return range(root, rect);
    221         else
    222             return new ArrayList<Point2D>();
    223     }
    224 
    225     private ArrayList<Point2D> range(Node x, RectHV rect) {
    226         ArrayList<Point2D> points = new ArrayList<Point2D>();
    227         if (x.rect.intersects(rect)) {
    228             if (rect.contains(x.p))
    229                 points.add(x.p);
    230             if (x.left != null)
    231                 points.addAll(range(x.left, rect));
    232             if (x.right != null)
    233                 points.addAll(range(x.right, rect));
    234         }
    235         return points;
    236     }
    237 
    238     public Point2D nearest(Point2D p) {
    239         // a nearest neighbor in the set to point p; null if the set is empty
    240         if (p == null)
    241             throw new IllegalArgumentException("Point2D p is not illegal!");
    242         if (root != null)
    243             return nearest(root, p, root.p);
    244         return null;
    245     }
    246 
    247     /**
    248      * 作业提交提示nearest的时间复杂度偏高,导致作业只有98分,我觉得这样写比较清晰明了,就懒得继续优化
    249      * @param x
    250      * @param p
    251      * @param currNearPoint
    252      * @return
    253      */
    254     private Point2D nearest(Node x, Point2D p, Point2D currNearPoint) {
    255         if(x.p.equals(p)) return x.p;
    256         double currMinDistance = currNearPoint.distanceTo(p);
    257         if (Double.compare(x.rect.distanceTo(p), currMinDistance) >= 0)
    258             return currNearPoint;
    259         else {
    260             double distance = x.p.distanceTo(p);
    261             if (Double.compare(x.p.distanceTo(p), currMinDistance) == -1) {
    262                 currNearPoint = x.p;
    263                 currMinDistance = distance;
    264             }
    265             if (x.left != null)
    266                 currNearPoint = nearest(x.left, p, currNearPoint);
    267             if (x.right != null)
    268                 currNearPoint = nearest(x.right, p, currNearPoint);
    269         }
    270         return currNearPoint;
    271     }
    272 
    273     public static void main(String[] args) {
    274         // unit testing of the methods (optional)
    275     }
    276 }
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  • 原文地址:https://www.cnblogs.com/evasean/p/7367853.html
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