Surrounded Regions
Given a 2D board containing ‘X‘ and ‘O‘,
capture all regions surrounded by ‘X‘.
A region is captured by flipping all ‘O‘s into ‘X‘s
in that surrounded region.
For example,
X X X X X O O X X X O X X O X X
After running your function, the board should be:
X X X X X X X X X X X X X O X X
分析：这个题花了不少时间，最后才弄明白怎么做，开始想着判断每个是O的点的上下左右是否是X来断定是否是被围绕的区域，这是明显不对的；然后再考虑遍历二维矩阵，如果元素为O，则判断O是否是被围绕的区域，如果是将此处的值改为X，如果不是将此处的值改为另一个标志‘D’，这样每次求解可以根据点的上下左右来判断，但是这样忽略了当右下角为O的情况；后来改进算法，改为先判断上面一个点和左边一个点，如果其中一个为‘D’，则肯定不能被围绕，然后判断右边和下面的点，如果为‘O’，则递归为求解右边和下边的点的与，这样超时了。
最后搜索到一种方法，遍历二维矩阵，每次遇到‘O’点时找到与此点在同一个连通域的‘O‘，都将其替换为‘P‘，判断此连通域是否有点在边界上，如果有则将所有的点都变换为‘D‘，如果没有则将所有的点都变换为‘X‘。遍历结束后，再将所有‘D‘转换为‘O’。
Accepted 代码如下：
class Solution {
public:
void solve(vector<vector<char>> &board) {
int rows = board.size();
if(rows <= 2){
return;
}
int cols = board[0].size();
if(cols <= 2){
return;
}
for(int i=0; i<rows; ++i){
for(int j=0; j<cols; ++j){
if(board[i][j] == ‘O‘){
bool isSurr = isSurround(board,i,j);
replaceSurround(board,isSurr);
}
}
}
//将D替换为O
for(int i=0; i<rows; ++i){
for(int j=0; j<cols; ++j){
if(board[i][j] == ‘D‘){
board[i][j] = ‘O‘;
}
}
}
}
//判断(m,n)坐标是否被环绕，同时将与(m,n)联通的区域标志为‘P‘
bool isSurround(vector<vector<char>> &board,int m,int n){
bool hasPath = false;
board[m][n] = ‘P‘;
int rows = board.size();
int cols = board[0].size();
for(int i=0; i<rows; ++i){
for(int j=0; j<cols; ++j){
if(board[i][j] == ‘P‘){
if(i == 0){
hasPath = true;
//return false;
}else{
if(board[i-1][j] == ‘O‘){
board[i-1][j] = ‘P‘;
i -= 2; //注意为i=i-2,因为(i-1,j)已经做出判断了,下次判断(i-2,j)的部分
break; //注意为break,更改了i的值，跳出j的循环
}
}
if(j == 0){
hasPath = true;
//return false;
}else{
if(board[i][j-1] == ‘O‘){
board[i][j-1] = ‘P‘;
j -= 2;
continue;
}
}
if(i == rows-1){
hasPath = true;
//return false;
}else{
if(board[i+1][j] == ‘O‘){
board[i+1][j] = ‘P‘;
}
}
if(j == cols-1){
hasPath = true;
//return false;
}else{
if(board[i][j+1] == ‘O‘){
board[i][j+1] = ‘P‘;
}
}
}
}
}
return hasPath ? false:true;
}
//更新联通区域标志为P的点，如果被环绕更新为X,如果不被环绕更新为D
void replaceSurround(vector<vector<char>> &board,bool isSurrounded){
for(int i=0; i<board.size(); ++i){
for(int j=0; j<board[i].size(); ++j){
if(board[i][j] == ‘P‘){
if(isSurrounded){
board[i][j] = ‘X‘;
}else{
board[i][j] = ‘D‘;
}
}
}
}
}
};
2、Sum Root to Leaf Numbers
Given a binary tree containing digits from 0-9 only,
each root-to-leaf path could represent a number.
An example is the root-to-leaf path 1->2->3 which
represents the number 123.
Find the total sum of all root-to-leaf numbers.
For example,
1 / 2 3
The root-to-leaf path 1->2 represents the
number 12.
The root-to-leaf path 1->3 represents the
number 13.
Return the sum = 12 + 13 = 25.
分析：这个题很简单，就是简单的递归。
代码如下：
class Solution {
public:
int sumNumbers(TreeNode *root) {
int sum = 0;
allSum = 0;;
path(root,sum);
return allSum;
}
void path(TreeNode* root,int sum){
if(root == NULL){
return;
}else{
sum = sum*10 + root->val;
if(!root->left && !root->right){
allSum += sum;
return;
}
if(root->left){
path(root->left,sum);
}
if(root->right){
path(root->right,sum);
}
}
}
int allSum;
};
3、Longest Consecutive Sequence
Given an unsorted array of integers, find the length of the longest consecutive elements sequence.
For example,
Given [100, 4, 200, 1, 3, 2],
The longest consecutive elements sequence is [1, 2, 3, 4].
Return its length: 4.
Your algorithm should run in O(n) complexity.
分析：首先不考虑复杂度时，要求连续数的长度，首先考虑到先把数组排序，从头开始，看序列的长度，此时可以采用multiset来实现；但是看到O(n)的复杂度，想到的是set是用红黑树实现的，复杂度为O(nlogn)，但是哈希表结构是未排序的，当遍历到一个值时，需要判断小于此值和大于此值的值是否存在，如果不存在还得继续遍历，还需要保存前一个值，比较复杂，而且hash_map不在C++标准库中，一直显示‘hash_multimap‘ was not declared in this scope
因此采用了multiset，结果是Accepted，但是从内部结构来说却是时间复杂度为O(nlogn)
代码如下：
class Solution {
public:
int longestConsecutive(vector<int> &num) {
if(num.size() <= 1){
return num.size();
}
multiset<int> numSet;
for(int i=0; i<num.size(); ++i){
numSet.insert(num[i]);
}
int maxLen = 1;
for(multiset<int>::iterator iter=numSet.begin(); iter!=numSet.end(); ){
int tempLen = 1;
while(iter!=numSet.end()){
int nextVal = *iter , curVal = *iter;
while(curVal == nextVal){
curVal = *iter;
if(++iter == numSet.end()){
if(tempLen > maxLen){
maxLen = tempLen;
}
return maxLen;
}
nextVal = *iter;
}
--iter;
curVal = *iter;
++iter;
if(curVal+1 == nextVal){
++tempLen;
}else{
break;
}
}
if(tempLen > maxLen){
maxLen = tempLen;
}
}
return maxLen;
}
};
leetcode --day12 Surrounded Regions & Sum Root to Leaf Numbers & Longest Consecutive Sequence
原文地址：http://blog.csdn.net/kuaile123/article/details/25533879
