In a 2D grid of `0`s and `1`s, we change at most one `0` to a `1`.

After, what is the size of the largest island? (An island is a 4-directionally connected group of 1s).

Example 1:

Input: [[1, 0], [0, 1]]
Output: 3
Explanation: Change one 0 to 1 and connect two 1s, then we get an island with area = 3.

Example 2:

Input: [[1, 1], [1, 0]]
Output: 4
Explanation: Change the 0 to 1 and make the island bigger, only one island with area = 4.

Example 3:

Input: [[1, 1], [1, 1]]
Output: 4
Explanation: Can't change any 0 to 1, only one island with area = 4.

Notes:

  • 1 <= grid.length = grid[0].length <= 50.
  • 0 <= grid[i][j] <= 1.

这道题在只有0和1的矩阵中用相连的1来表示小岛,现在说是有一个把0变为1的机会,这样原本不相邻的岛就有可能变的相邻了,从而组成一个更大的岛,让求出可能组成的最大的岛屿的面积,也就是相连的1的个数。在 LeetCode 中关于岛屿的题其实也做过许多,比如 [Number of Distinct Islands II](http://www.cnblogs.com/grandyang/p/8542820.html),[Max Area of Island](http://www.cnblogs.com/grandyang/p/7712724.html),[Number of Distinct Islands](http://www.cnblogs.com/grandyang/p/7698778.html),[Number of Islands II](http://www.cnblogs.com/grandyang/p/5190419.html),和 [Number of Islands](http://www.cnblogs.com/grandyang/p/4402656.html)。其实大多题目的本质都是用 DFS 或者 BFS 去遍历所有相连的1,当然这道题也不例外。博主最开始的想法是首先用 DFS 来找出每个岛屿,然后把同一个岛屿的位置坐标都放到同一个 HashSet 中,这样就有了很多 HashSet,然后遍历所有的0的位置,对每个0位置,遍历其周围4个邻居,然后看邻居位置有没有属于岛屿的,有的话就把该岛屿的 HashSet 编号记录下来,遍历完4个邻居后,在把所有的相连的岛屿中的1个数加起来(因为 HashSet 可以直接求出集合中数字的总个数),每次更新结果 res 即可。这种方法是可以通过 OJ 的,速度还比下面展示的两种方法要快,就是代码比较长,没有下面方法的简洁,这里就不贴了。下面的这两种方法其实都是从每个0开始处理,先把0替换成1,然后再用 DFS 来找所有相连的1的个数,具体如何找就跟之前的岛屿的题目没啥区别了,这里就不细讲了,参见代码如下:


解法一:

class Solution {
public:
int largestIsland(vector<vector<int>>& grid) {
int m = grid.size(), n = grid[0].size(), res = 0;
bool hasZero = false;
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
if (grid[i][j] == 1) continue;
grid[i][j] = 1;
vector<vector<bool>> visited(m, vector<bool>(n));
res = max(res, helper(grid, i, j, visited));
if (res == m * n) return res;
grid[i][j] = 0;
hasZero = true;
}
}
return hasZero ? res : m * n;
}
int helper(vector<vector<int>>& grid, int i, int j, vector<vector<bool>>& visited) {
int m = grid.size(), n = grid[0].size();
if (i < 0 || i >= m || j < 0 || j >= n || grid[i][j] == 0 || visited[i][j]) return 0;
visited[i][j] = true;
return 1 + helper(grid, i - 1, j , visited) + helper(grid, i + 1, j , visited) + helper(grid, i, j - 1, visited) + helper(grid, i, j + 1, visited);
}
};

当然我们也可以用 BFS 来找所有相连的1的个数,整个的解题思路和上面的解法并没有什么不同,并不难理解,这可能就是论坛上会有人质疑这道题不应该标为 Hard 的原因,参见代码如下:


解法二:

class Solution {
public:
int largestIsland(vector<vector<int>>& grid) {
int m = grid.size(), n = grid[0].size(), res = 0;
bool hasZero = false;
vector<int> dirX{0, -1, 0, 1}, dirY{-1, 0, 1, 0};
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
if (grid[i][j] == 1) continue;
vector<vector<bool>> visited(m, vector<bool>(n));
queue<int> q{{i * n + j}};
int sum = 0;
while (!q.empty()) {
int t = q.front(); q.pop();
++sum;
for (int k = 0; k < 4; ++k) {
int x = t / n + dirX[k], y = t % n + dirY[k];
if (x < 0 || x >= m || y < 0 || y >= n || grid[x][y] == 0 || visited[x][y]) continue;
visited[x][y] = true;
q.push(x * n + y);
}
}
res = max(res, sum);
if (res == m * n) return res;
hasZero = true;
}
}
return hasZero ? res : m * n;
}
};

Github 同步地址:

https://github.com/grandyang/leetcode/issues/827

类似题目:

Number of Distinct Islands II

Max Area of Island

Number of Distinct Islands

Number of Islands II

Number of Islands

参考资料:

https://leetcode.com/problems/making-a-large-island/

https://leetcode.com/problems/making-a-large-island/discuss/313787/Two-java-solutions

https://leetcode.com/problems/making-a-large-island/discuss/127256/DFS-JAVA-AC-CONCISE-SOLUTION

https://leetcode.com/problems/making-a-large-island/discuss/127015/C%2B%2B-O(n*m)-15-ms-colorful-islands

[LeetCode All in One 题目讲解汇总(持续更新中...)](https://www.cnblogs.com/grandyang/p/4606334.html)

[LeetCode] 827. Making A Large Island 建造一个巨大岛屿的更多相关文章

  1. [LeetCode] 827. Making A Large Island

    In a 2D grid of 0s and 1s, we change at most one 0 to a 1. After, what is the size of the largest is ...

  2. 【leetcode】827. Making A Large Island

    题目如下: 解题思路:这个题目可以进行拆分成几个子问题.第一,求出island的数量,其实就是 200. Number of Islands,这个很简单,DFS或者BFS都能搞定:第二,除了求出isl ...

  3. Leetcode之深度优先搜索(DFS)专题-695. 岛屿的最大面积(Max Area of Island)

    Leetcode之深度优先搜索(DFS)专题-695. 岛屿的最大面积(Max Area of Island) 深度优先搜索的解题详细介绍,点击 给定一个包含了一些 0 和 1的非空二维数组 grid ...

  4. [LeetCode] 496. Next Greater Element I 下一个较大的元素 I

    You are given two arrays (without duplicates) nums1 and nums2 where nums1’s elements are subset of n ...

  5. [LeetCode] 503. Next Greater Element II 下一个较大的元素 II

    Given a circular array (the next element of the last element is the first element of the array), pri ...

  6. [LeetCode] 556. Next Greater Element III 下一个较大的元素 III

    Given a positive 32-bit integer n, you need to find the smallest 32-bit integer which has exactly th ...

  7. Leetcode之深度优先搜索(DFS)专题-200. 岛屿数量(Number of Islands)

    Leetcode之深度优先搜索(DFS)专题-200. 岛屿数量(Number of Islands) 深度优先搜索的解题详细介绍,点击 给定一个由 '1'(陆地)和 '0'(水)组成的的二维网格,计 ...

  8. LeetCode 695. Max Area of Island (岛的最大区域)

    Given a non-empty 2D array grid of 0's and 1's, an island is a group of 1's (representing land) conn ...

  9. [LeetCode] Search a 2D Matrix II 搜索一个二维矩阵之二

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

随机推荐

  1. python-6-for循环及format三种用法

    前言 循环我们前面讲过了无限循环,那么for循环属于什么循环呢?显然就是有限循环: 另外格式化输出我们前面也讲过,但是format也能做到不一样的格式化输出.一起看看吧! 一.for 循环 1.fro ...

  2. JMS简介与入门

    1:JMS引入 如果手机只能进行实时通话,没有留言和短信功能会怎么样?一个电话打过来,正好没有来得及接上,那么这个电话要传递的信息肯定就收不到了.为什么不能先将信息存下来,当用户需要查看信息的时候再去 ...

  3. UVA 291 The House Of Santa Claus DFS

    题目: In your childhood you most likely had to solve the riddle of the house of Santa Claus. Do you re ...

  4. Focal Loss 理解

    本质上讲,Focal Loss 就是一个解决分类问题中类别不平衡.分类难度差异的一个 loss,总之这个工作一片好评就是了. 看到这个 loss,开始感觉很神奇,感觉大有用途.因为在 NLP 中,也存 ...

  5. restful api的10个最佳实践

    Web API在过去的几年里非常盛行,因为它有着语法简单.规范化和轻量级的优点,因为得到广泛的推崇,很多过往的技术手段都慢慢转换为使用Web API来开发.而Web API通常使用的设计方式是REST ...

  6. C# MySQL,Dapper Trans,list

    static async Task MySQLTransDemo() { try { using(dbConnection) { dbConnection.Open(); //The object m ...

  7. 将VMWare中的虚拟机时间设定在一个固定值

    1.关闭虚拟机 2.用记事本打开虚拟机的.vmx文件 在末尾添加添加: tools.syncTime = "FALSE"  time.synchronize.continue = ...

  8. python 跟踪IP模块

    #coding=utf-8 import re import subprocess def tracertIP(ip): p = subprocess.Popen(['tracert',ip],std ...

  9. Java学习——内存机制

    Java学习——内存机制 摘要:本文主要介绍了Java的内存机制. 部分内容来自以下博客: https://www.cnblogs.com/xrq730/p/4827590.html https:// ...

  10. 高精度gcd

    #include<iostream> #include<cstdio> #include<cstring> #define inf 1000000000 using ...