二分查找

使用二分法处理有序的数时非常有效的方法，能大大提高算法的效率。

描述
Given a sorted array of integers, find the starting and ending position of a given target value.
Your algorithm’s runtime complexity must be in the order of O(log n).
If the target is not found in the array, return [-1, -1].
For example, Given [5, 7, 7, 8, 8, 10] and target value 8, return [3, 4].

 1  #include <iostream>
 2 
 3 int binarySeachch(int A[],int length,int target)
 4 {
 5     int head =0;
 6     int tail = length-1;
 7 
 8     while(head <= tail)
 9     {
10         int cur = (head+tail)/2;
11 
12         if(target > A[cur])
13         {
14             head = cur+1;
15         }
16         else if(target < A[cur])
17         {
18             tail = cur-1;
19         }
20         else 
21             return cur;
22     }
23     return -1;
24 }
25 
26 int lowerBound(int A[],int length,int target)
27 {
28     int head = 0;
29     int tail = length-1;
30     int cur = (head+tail)/2;
31     while(head < tail)
32     {
33         if(A[cur] >= target)
34         {
35             tail=cur;
36         }
37         else
38         {
39             head = cur + 1;
40         }
41         cur = (head+tail)/2;  //notice
42     }
43     if(A[cur]>=target)
44         return cur;
45     else
46         return -1;
47 }
48 
49 int upperBound(int A[],int length,int target)
50 {
51     int head = 0;
52     int tail= length-1;
53     int cur = (head+tail)/2;
54 
55     while(head < tail)
56     {
57         if(A[cur] <= target)
58         {
59             head = cur+1;
60         }
61         else if(A[cur] > target)
62         {
63             tail = cur;
64         }
65         cur = (head+tail)/2;
66     }
67     if(A[cur] > target)
68         return cur;
69     else
70         return -1;
71 }
72 
73 
74 int main()
75 {
76     int A[] = {5,7,7,8,8,9};
77     
78     std::cout << lowerBound(A, 6, 8)<< std::endl;
79     std::cout << upperBound(A, 6, 8) << std::endl;
80  
81      return 0;
82 }    

 

实例2：

Write an efficient algorithm that searches for a value in an m x n matrix. This matrix has the following properties:

• Integers in each row are sorted in ascending from left to right.
• Integers in each column are sorted in ascending from top to bottom.

For example,

Consider the following matrix:

[
  [1,   4,  7, 11, 15],
  [2,   5,  8, 12, 19],
  [3,   6,  9, 16, 22],
  [10, 13, 14, 17, 24],
  [18, 21, 23, 26, 30]
]

Given target = 5, return true.

Given target = 20, return false.

class Solution {
public:
    bool searchMatrix(vector<vector<int>>& matrix, int target) {
        int row  = matrix.size();
        int column = matrix.front().size();
        
        for(int i=0;i<row;i++)
        {
            if(matrix[i][column-1] < target)  continue;
            
            else if(matrix[i][column-1] > target)
            {
                if(binary_search(matrix[i].begin(), matrix[i].end(), target))
                    return true;
            }
            else 
                return true;
        }
        return false;
    }
};