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NO.1
思路:递归。
代码实现:
class Solution { public: bool IsBalanced_Solution(TreeNode* pRoot) { return dfs(pRoot)!=-1; } int dfs(TreeNode* root) { if(root==nullptr) return 0; int left=dfs(root->left); if(left==-1) return -1; int right=dfs(root->right); if(right==-1) return -1; return abs(left-right)<=1?max(left,right)+1:-1; } };
NO.2
算法思路:
⼆维前缀和矩阵的应⽤。
a. 初始化⼆维前缀和矩阵;
b. 枚举所有的⼦矩阵,求出最⼤⼦矩阵。
代码实现:
#include <iostream> using namespace std; const int N = 110; int n; int dp[N][N]; int main() { int x; cin >> n; for (int i = 1; i <= n; i++) { for (int j = 1; j <= n; j++) { cin >> x; dp[i][j] = dp[i - 1][j] + dp[i][j - 1] - dp[i - 1][j - 1] + x; } } int ret = -127 * N; for (int x1 = 1; x1 <= n; x1++) { for (int y1 = 1; y1 <= n; y1++) { for (int x2 = x1; x2 <= n; x2++) { for (int y2 = y1; y2 <= n; y2++) { ret = max(ret, dp[x2][y2] - dp[x1 - 1][y2] - dp[x2][y1 - 1] + dp[x1 - 1][y1 - 1]); } } } } cout << ret << endl; return 0; }
NO.3
思路:滑动窗口,分别统计字符串中和窗口内0和1的数量,当窗口内字符串的数量为原字符串的一半,且该窗口内0和1的数量是外面字符串中0和1数量的一半时,就有两种方法。
代码实现:
#include <iostream> #include <string> using namespace std; int n; string s; int main() { cin >> n >> s; int sum[2] = { 0 }; // 统计字符串中所有 0 和 1 的个数 for (auto ch : s) { sum[ch - '0']++; } int left = 0, right = 0, ret = 0, half = n / 2; int count[2] = { 0 }; // 统计窗⼝内 0 和 1 的个数 while (right < n - 1) // 细节问题 { count[s[right] - '0']++; while (right - left + 1 > half) { count[s[left++] - '0']--; } if (right - left + 1 == half) { if (count[0] * 2 == sum[0] && count[1] * 2 == sum[1]) { ret += 2; } } right++; } cout << ret << endl; return 0; }
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