重叠区间的个数

题目:给定多个可能的重叠的区间,找出重叠区间的个数。

伪代码:

区间的定义如下:

class Interval{
  int start; //起点
  int end;  //止点
  Interval (int a,int b){
    start =a;
    end = b;
  }
}

首先,要定义区间的类,实现Comparable接口,含有起点与止点的值和类型,还要重写用于排序的compareTo函数。

class Point implements Comparable<Point>{
  int value;//数值
    int type;//点的类型,0为起点,1为止点
    Point (int v,int t){
      value = v;
      type = t;
    }
  //还需要实现compareTo函数,以便排序
    public int compareTo(Point p){
      if (this.value == p.value){
        return 0;
      }else if (this.value > p.value){
        return 1;
      }else {
        return -1;
      }
    }
}

其次,区间转换为点,并将点排序,然后统计重叠的个数。

int getOverlappingCount(Interval[] A){
  int max =0,count = 1;
  if (A == null || A.length == 0) return max;
  Point [] points = new Point[A.length*2];
  for (int i=0;i<A.length;i++){//转为可排序的点
      points[2*i] = new Point(A[i].start,0);
      points[2*i+1] = new Point(A[i].end,1);
  }
  Collections.sort(points);//排序
    for(int i =0;i<points.length;i++){
      if(points[i].type==0){
        count++;//起点
          max = Math.max(max,count);
      }else{
        count--;
      }
    }
  return max;
}

R语言

这里没有按照伪代码中给的样式来写,源于没有发现R语言中能采用这种方式来写,在谷歌是发现一个R包intervals,它可以实现overlap功能,也就是我们这里将用到的交集。

两个区间集合之间的重叠个数计算:

> a=matrix(c(1:16),ncol = 2, byrow = TRUE)
> a
     [,1] [,2]
[1,]    1    2
[2,]    3    4
[3,]    5    6
[4,]    7    8
[5,]    9   10
[6,]   11   12
[7,]   13   14
[8,]   15   16
> to <- Intervals(a,closed = c( TRUE, FALSE ),type = "R")
> #集合to
> to
Object of class Intervals
8 intervals over R:
[1, 2)
[3, 4)
[5, 6)
[7, 8)
[9, 10)
[11, 12)
[13, 14)
[15, 16)
> dim(to)
[1] 8 2
> b <- matrix(c(2.121, 8,8, 9,6, 9,11, 12,3, 3),ncol = 2, byrow = TRUE)
> b
       [,1] [,2]
[1,]  2.121    8
[2,]  8.000    9
[3,]  6.000    9
[4,] 11.000   12
[5,]  3.000    3
> from <- Intervals(b,closed = c( FALSE, FALSE ),type = "R")
> # 集合from
> from
Object of class Intervals
5 intervals over R:
(2.121, 8)
(8, 9)
(6, 9)
(11, 12)
(3, 3)
> rownames(from) <- c(1:nrow(from))
> empty(to)
[1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
> empty(from)
[1] FALSE FALSE FALSE FALSE  TRUE
> b1 <- interval_overlap(from, to)
Warning message:
Some empty 'from' intervals encountered. Setting to NA... 
> b1
$`1`
[1] 2 3 4

$`2`
integer(0)

$`3`
[1] 4

$`4`
[1] 6

$`5`
integer(0)

> sum(lengths(b1))
[1] 5

关于区间是开区间还是闭区间,可以通过对closed 设置来改变,不同的区间还可以用append 来附加。

对于输入的是一个集合,计算一个集合内的区间重叠数

例子1

> b <- matrix(c(2, 8,8, 9,6, 9,11, 12,3, 3),ncol = 2, byrow = TRUE)
> b
     [,1] [,2]
[1,]    2    8
[2,]    8    9
[3,]    6    9
[4,]   11   12
[5,]    3    3
> from <- Intervals(b,closed = c( T, T ),type = "R")
> from
Object of class Intervals
5 intervals over R:
[2, 8]
[8, 9]
[6, 9]
[11, 12]
[3, 3]
> b1 <- interval_overlap(from, from)
> b1
[[1]]
[1] 1 2 3 5

[[2]]
[1] 1 2 3

[[3]]
[1] 1 2 3

[[4]]
[1] 4

[[5]]
[1] 1 5

> (sum(lengths(b1))-nrow(b))/2
[1] 4

例子2

> b <- matrix(c(1, 5,10, 15,5, 10,20, 30),ncol = 2, byrow = TRUE)
> b
     [,1] [,2]
[1,]    1    5
[2,]   10   15
[3,]    5   10
[4,]   20   30
> from <- Intervals(b,closed = c( T, T ),type = "R")
> from
Object of class Intervals
4 intervals over R:
[1, 5]
[10, 15]
[5, 10]
[20, 30]
> b1 <- interval_overlap(from, from)
> b1
[[1]]
[1] 1 3

[[2]]
[1] 2 3

[[3]]
[1] 1 2 3

[[4]]
[1] 4

> (sum(lengths(b1))-nrow(b))/2
[1] 2

啦啦啦啦,发现书上的结果错了。

python

这里写代码片

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