代码随想录算法训练营第五十二天 | 101. 孤岛的总面积 102.沉没孤岛 103.水流问题 104.建造最大岛屿
101. 孤岛的总面积
题目链接:101. 孤岛的总面积
import java.util.*;
public class Main {
private static int count = 0;
private static final int[][] dir = {{0, 1}, {1, 0}, {-1, 0}, {0, -1}}; // 四个方向
private static void bfs(int[][] grid, int x, int y) {
Queue<int[]> que = new LinkedList<>();
que.add(new int[]{x, y});
grid[x][y] = 0; // 只要加入队列,立刻标记
count++;
while (!que.isEmpty()) {
int[] cur = que.poll();
int curx = cur[0];
int cury = cur[1];
for (int i = 0; i < 4; i++) {
int nextx = curx + dir[i][0];
int nexty = cury + dir[i][1];
if (nextx < 0 || nextx >= grid.length || nexty < 0 || nexty >= grid[0].length) continue; // 越界了,直接跳过
if (grid[nextx][nexty] == 1) {
que.add(new int[]{nextx, nexty});
count++;
grid[nextx][nexty] = 0; // 只要加入队列立刻标记
}
}
}
}
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
int n = scanner.nextInt();
int m = scanner.nextInt();
int[][] grid = new int[n][m];
// 读取网格
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
grid[i][j] = scanner.nextInt();
}
}
// 从左侧边,和右侧边向中间遍历
for (int i = 0; i < n; i++) {
if (grid[i][0] == 1) bfs(grid, i, 0);
if (grid[i][m - 1] == 1) bfs(grid, i, m - 1);
}
// 从上边和下边向中间遍历
for (int j = 0; j < m; j++) {
if (grid[0][j] == 1) bfs(grid, 0, j);
if (grid[n - 1][j] == 1) bfs(grid, n - 1, j);
}
count = 0;
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
if (grid[i][j] == 1) bfs(grid, i, j);
}
}
System.out.println(count);
}
}
102.沉没孤岛
题目链接:102. 沉没孤岛
import java.util.Scanner;
public class Main {
static int[][] dir = { {-1, 0}, {0, -1}, {1, 0}, {0, 1} }; // 保存四个方向
public static void dfs(int[][] grid, int x, int y) {
grid[x][y] = 2;
for (int[] d : dir) {
int nextX = x + d[0];
int nextY = y + d[1];
// 超过边界
if (nextX < 0 || nextX >= grid.length || nextY < 0 || nextY >= grid[0].length) continue;
// 不符合条件,不继续遍历
if (grid[nextX][nextY] == 0 || grid[nextX][nextY] == 2) continue;
dfs(grid, nextX, nextY);
}
}
public static void main(String[] args) {
Scanner scanner = new Scanner(System.in);
int n = scanner.nextInt();
int m = scanner.nextInt();
int[][] grid = new int[n][m];
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
grid[i][j] = scanner.nextInt();
}
}
// 步骤一:
// 从左侧边,和右侧边 向中间遍历
for (int i = 0; i < n; i++) {
if (grid[i][0] == 1) dfs(grid, i, 0);
if (grid[i][m - 1] == 1) dfs(grid, i, m - 1);
}
// 从上边和下边 向中间遍历
for (int j = 0; j < m; j++) {
if (grid[0][j] == 1) dfs(grid, 0, j);
if (grid[n - 1][j] == 1) dfs(grid, n - 1, j);
}
// 步骤二、步骤三
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
if (grid[i][j] == 1) grid[i][j] = 0;
if (grid[i][j] == 2) grid[i][j] = 1;
}
}
for (int i = 0; i < n; i++) {
for (int j = 0; j < m; j++) {
System.out.print(grid[i][j] + " ");
}
System.out.println();
}
scanner.close();
}
}
103.水流问题
题目链接:103. 水流问题
import java.util.*;
public class Main {
// 采用 DFS 进行搜索
public static void dfs(int[][] heights, int x, int y, boolean[][] visited, int preH) {
// 遇到边界或者访问过的点,直接返回
if (x < 0 || x >= heights.length || y < 0 || y >= heights[0].length || visited[x][y]) return;
// 不满足水流入条件的直接返回
if (heights[x][y] < preH) return;
// 满足条件,设置为true,表示可以从边界到达此位置
visited[x][y] = true;
// 向下一层继续搜索
dfs(heights, x + 1, y, visited, heights[x][y]);
dfs(heights, x - 1, y, visited, heights[x][y]);
dfs(heights, x, y + 1, visited, heights[x][y]);
dfs(heights, x, y - 1, visited, heights[x][y]);
}
public static void main(String[] args) {
Scanner sc = new Scanner(System.in);
int m = sc.nextInt();
int n = sc.nextInt();
int[][] heights = new int[m][n];
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
heights[i][j] = sc.nextInt();
}
}
// 初始化两个二位boolean数组,代表两个边界
boolean[][] pacific = new boolean[m][n];
boolean[][] atlantic = new boolean[m][n];
// 从左右边界出发进行DFS
for (int i = 0; i < m; i++) {
dfs(heights, i, 0, pacific, Integer.MIN_VALUE);
dfs(heights, i, n - 1, atlantic, Integer.MIN_VALUE);
}
// 从上下边界出发进行DFS
for (int j = 0; j < n; j++) {
dfs(heights, 0, j, pacific, Integer.MIN_VALUE);
dfs(heights, m - 1, j, atlantic, Integer.MIN_VALUE);
}
// 当两个边界二维数组在某个位置都为true时,符合题目要求
List<List<Integer>> res = new ArrayList<>();
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (pacific[i][j] && atlantic[i][j]) {
res.add(Arrays.asList(i, j));
}
}
}
// 打印结果
for (List<Integer> list : res) {
for (int k = 0; k < list.size(); k++) {
if (k == 0) {
System.out.print(list.get(k) + " ");
} else {
System.out.print(list.get(k));
}
}
System.out.println();
}
}
}
104.建造最大岛屿
题目链接:104. 建造最大岛屿
import java.util.*;
public class Main {
// 该方法采用 DFS
// 定义全局变量
// 记录每次每个岛屿的面积
static int count;
// 对每个岛屿进行标记
static int mark;
// 定义二维数组表示四个方位
static int[][] dirs = {{0, 1}, {0, -1}, {1, 0}, {-1, 0}};
// DFS 进行搜索,将每个岛屿标记为不同的数字
public static void dfs(int[][] grid, int x, int y, boolean[][] visited) {
// 当遇到边界,直接return
if (x < 0 || x >= grid.length || y < 0 || y >= grid[0].length) return;
// 遇到已经访问过的或者遇到海水,直接返回
if (visited[x][y] || grid[x][y] == 0) return;
visited[x][y] = true;
count++;
grid[x][y] = mark;
// 继续向下层搜索
dfs(grid, x, y + 1, visited);
dfs(grid, x, y - 1, visited);
dfs(grid, x + 1, y, visited);
dfs(grid, x - 1, y, visited);
}
public static void main (String[] args) {
// 接收输入
Scanner sc = new Scanner(System.in);
int m = sc.nextInt();
int n = sc.nextInt();
int[][] grid = new int[m][n];
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
grid[i][j] = sc.nextInt();
}
}
// 初始化mark变量,从2开始(区别于0水,1岛屿)
mark = 2;
// 定义二位boolean数组记录该位置是否被访问
boolean[][] visited = new boolean[m][n];
// 定义一个HashMap,记录某片岛屿的标记号和面积
HashMap<Integer, Integer> getSize = new HashMap<>();
// 定义一个HashSet,用来判断某一位置水四周是否存在不同标记编号的岛屿
HashSet<Integer> set = new HashSet<>();
// 定义一个boolean变量,看看DFS之后,是否全是岛屿
boolean isAllIsland = true;
// 遍历二维数组进行DFS搜索,标记每片岛屿的编号,记录对应的面积
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (grid[i][j] == 0) isAllIsland = false;
if (grid[i][j] == 1) {
count = 0;
dfs(grid, i, j, visited);
getSize.put(mark, count);
mark++;
}
}
}
int result = 0;
if (isAllIsland) result = m * n;
// 对标记完的grid继续遍历,判断每个水位置四周是否有岛屿,并记录下四周不同相邻岛屿面积之和
// 每次计算完一个水位置周围可能存在的岛屿面积之和,更新下result变量
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (grid[i][j] == 0) {
set.clear();
// 当前水位置变更为岛屿,所以初始化为1
int curSize = 1;
for (int[] dir : dirs) {
int curRow = i + dir[0];
int curCol = j + dir[1];
if (curRow < 0 || curRow >= m || curCol < 0 || curCol >= n) continue;
int curMark = grid[curRow][curCol];
// 如果当前相邻的岛屿已经遍历过或者HashMap中不存在这个编号,继续搜索
if (set.contains(curMark) || !getSize.containsKey(curMark)) continue;
set.add(curMark);
curSize += getSize.get(curMark);
}
result = Math.max(result, curSize);
}
}
}
// 打印结果
System.out.println(result);
}
}