2013.12.27 01:18
Given two sorted integer arrays A and B, merge B into A as one sorted array.
Note:
You may assume that A has enough space to hold additional elements from B. The number of elements initialized in A and B are m and n respectively.
Solution1:
First solution is simple and foolish enough, just put them together and sort it.
Time complexity is O((m + n) * log(m + n)), space complexity is O(1).
Accepted code:
1 #include <algorithm> 2 using namespace std; 3 4 class Solution { 5 public: 6 void merge(int A[], int m, int B[], int n) { 7 // IMPORTANT: Please reset any member data you declared, as 8 // the same Solution instance will be reused for each test case. 9 for(int i = m; i < m + n; ++i){ 10 A[i] = B[i - m]; 11 } 12 sort(A, A + m + n); 13 } 14 };
Solution2:
Merge two arrays with O(m + n) extra space. Time complexity is O(m + n), space complexity is O(m + n). In-place merge seems more efficient, but somewhat a little tricky to understand. I'll put my in-place merge solution here when I grab the idea.
Time complexity is O(m + n), space complexity is O(m + n).
Accepted code:
1 #include <cstdlib> 2 using namespace std; 3 4 class Solution { 5 public: 6 void merge(int A[], int m, int B[], int n) { 7 // IMPORTANT: Please reset any member data you declared, as 8 // the same Solution instance will be reused for each test case. 9 int *C = nullptr; 10 11 if(nullptr == A || nullptr == B || m < 0 || n <= 0){ 12 return; 13 } 14 15 C = new(nothrow) int[m + n]; 16 if(nullptr == C){ 17 printf("Error: bad memory allocation."); 18 exit(0); 19 } 20 int i, j, k; 21 22 i = j = k = 0; 23 while(i < m && j < n){ 24 if(A[i] < B[j]){ 25 C[k++] = A[i++]; 26 }else{ 27 C[k++] = B[j++]; 28 } 29 } 30 while(i < m){ 31 C[k++] = A[i++]; 32 } 33 while(j < n){ 34 C[k++] = B[j++]; 35 } 36 memcpy(A, C, (m + n) * sizeof(A[0])); 37 delete[] C; 38 } 39 };
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