130. 被围绕的区域
class Solution {
public int rows,cols;
public void solve(char[][] board) {
rows = board.length;
cols = board[0].length;
for(int i = 0;i=rows || j<0 || j>=cols || board[i][j]=='X' || board[i][j]=='Z'){
return;
}
board[i][j]='Z';
dfs(board, i-1, j);
dfs(board, i+1, j);
dfs(board, i, j-1);
dfs(board, i, j+1);
}
}
BFS写法:
class Solution {
//BFS迭代写法
public void solve1(char[][] board) {
int rows = board.length;
if (rows < 1)
return;
int cols = board[0].length;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
boolean isEdge = i == 0 || j == 0 || i == rows - 1 || j == cols - 1;
if (isEdge && board[i][j] == 'O') {
bfs(board, i, j);
}
}
}
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (board[i][j] == 'O') {
board[i][j] = 'X';
} else if (board[i][j] == 'Z') {
board[i][j] = 'O';
}
}
}
}
private void bfs(char[][] board, int i, int j) {
Queue queue = new LinkedList();
queue.offer(new int[]{i, j});
while (!queue.isEmpty()) {
int[] cur = queue.poll();
int r = cur[0];
int c = cur[1];
if (r >= 0 && r < board.length && c >= 0 && c < board[0].length && board[r][c] == 'O') {
board[r][c] = 'Z';
queue.offer(new int[]{r - 1, c});
queue.offer(new int[]{r + 1, c});
queue.offer(new int[]{r, c - 1});
queue.offer(new int[]{r, c + 1});
}
}
}
}
200. 岛屿数量
class Solution {
public int rows,cols;
public int numIslands(char[][] grid) {
rows = grid.length;
cols = grid[0].length;
int res = 0;
for(int i = 0;i=rows || j<0 || j>=cols || grid[i][j]=='0'){
return;
}
grid[i][j]='0';
dfs(grid,i-1,j);
dfs(grid,i+1,j);
dfs(grid,i,j-1);
dfs(grid,i,j+1);
}
}
79. 单词搜索
class Solution {
public final int[][] dirs = {{-1, 0}, {0, -1}, {0, 1}, {1, 0}};
public int rows, cols;
public boolean exist(char[][] board, String word) {
rows = board.length;
cols = board[0].length;
boolean[][] visited = new boolean[rows][cols];
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (dfs(board, i, j, 0, visited, word)) {
return true;
}
}
}
return false;
}
private boolean dfs(char[][] board, int i, int j, int k, boolean[][] visited, String word) {
if (word.charAt(k) != board[i][j]) {
return false;
}
if (word.charAt(k) == board[i][j] && k == word.length() - 1) {
return true;
}
visited[i][j] = true;
for (int[] dir : dirs) {
int i1 = i + dir[0];
int j1 = j + dir[1];
if (i1 >= 0 && i1 < rows && j1 >= 0 && j1 < cols && !visited[i1][j1]) {
if (dfs(board, i1, j1, k + 1, visited, word)) {
return true;
}
}
}
visited[i][j] = false;
return false;
}
}
547. 省份数量
class Solution {
public int findCircleNum(int[][] isConnected) {
int len = isConnected.length;
boolean[] isVisit = new boolean[len];
LinkedList que = new LinkedList<>();
int circle = 0;
for (int i = 0; i < len; i++) {
if (isVisit[i]) {
continue;
}
que.addLast(i);
isVisit[i] = true;
while (!que.isEmpty()) {
int j = que.removeLast();
for (int k = 0; k < len; k++) {
if (isConnected[j][k] == 1 && !isVisit[k]) {
isVisit[k] = true;
que.addLast(k);
}
}
}
circle++;
}
return circle;
}
}
463. 岛屿的周长
class Solution {
static int[] dx = {0, 0, 1, -1};
static int[] dy = {1, -1, 0, 0};
public int islandPerimeter(int[][] grid) {
if (grid.length == 0) {
return 0;
}
int rows = grid.length;
int cols = grid[0].length;
int result = 0;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (grid[i][j] != 1) {
continue;
}
for (int z = 0; z < 4; z++) {
int x1 = i + dx[z];
int y1 = j + dy[z];
if (x1 < 0 || x1 >= rows || y1 < 0 || y1 >= cols || grid[x1][y1] == 0) {
result += 1;
}
}
}
}
return result;
}
}
329. 矩阵中的最长递增路径
class Solution {
public int rows, cols;
public int[][] dirs = new int[][]{{1, 0}, {-1, 0}, {0, 1}, {0, -1}};
public int longestIncreasingPath(int[][] matrix) {
rows = matrix.length;
cols = matrix[0].length;
int maxlen = 0;
int[][] path = new int[rows][cols];
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
int len = dfs(matrix, i, j, path);
maxlen = Math.max(len, maxlen);
}
}
return maxlen;
}
private int dfs(int[][] matrix, int i, int j, int[][] path) {
if (path[i][j] > 0) {
return path[i][j];
}
int maxlen = 1;
for (int[] dir : dirs) {
int i1 = i + dir[0];
int j1 = j + dir[1];
if (i1 >= 0 && i1 < rows && j1 >= 0 && j1 < cols && matrix[i1][j1] > matrix[i][j]) {
int len = 1 + dfs(matrix, i1, j1, path);
maxlen = Math.max(len, maxlen);
}
}
path[i][j] = maxlen;
return maxlen;
}
}
207. 课程表
210. 课程表 II
public class CanFinish {
// 207. 课程表
public boolean canFinish(int numCourses, int[][] prerequisites) {
int[] cnt = new int[numCourses];
for (int[] pair : prerequisites) {
cnt[pair[0]]++;
}
LinkedList que = new LinkedList<>();
for (int i = 0; i < numCourses; i++) {
if (cnt[i] == 0) {
que.addLast(i);
}
}
int cntSize = que.size();
while (!que.isEmpty()) {
Integer x = que.removeFirst();
for (int[] pair : prerequisites) {
if (pair[1] == x) {
cnt[pair[0]]--;
if (cnt[pair[0]] == 0) {
que.addLast(pair[0]);
cntSize++;
}
}
}
}
return numCourses == cntSize;
}
// 210. 课程表 II
public int[] findOrder(int numCourses, int[][] prerequisites) {
int[] cnt = new int[numCourses];
for (int[] pair : prerequisites) {
cnt[pair[0]]++;
}
LinkedList que = new LinkedList<>();
for (int i = 0; i < numCourses; i++) {
if (cnt[i] == 0) {
que.addLast(i);
}
}
int cntSize = que.size();
int[] result = new int[numCourses];
int index = 0;
while (!que.isEmpty()) {
Integer x = que.removeFirst();
result[index++] = x;
for (int[] pair : prerequisites) {
if (pair[1] == x) {
cnt[pair[0]]--;
if (cnt[pair[0]] == 0) {
que.addLast(pair[0]);
cntSize++;
}
}
}
}
if (numCourses != cntSize) {
return new int[]{};
}
return result;
}
public static void main(String[] args) {
int[][] prerequisites = new int[][]{{1, 0}};
CanFinish solution = new CanFinish();
System.out.println(solution.canFinish(2, prerequisites));
}
}
365. 水壶问题
class Solution {
public boolean canMeasureWater(int jug1Capacity, int jug2Capacity, int targetCapacity) {
if (targetCapacity > jug1Capacity + jug2Capacity) {
return false;
}
Deque stack = new LinkedList();
stack.push(new int[]{0, 0});
Set isContain = new HashSet<>();
while (!stack.isEmpty()) {
int[] remain = stack.peek();
stack.pop();
int remainX = remain[0];
int remainY = remain[1];
if (isContain.contains(getHashValue(remainX, remainY))) {
continue;
}
isContain.add(getHashValue(remainX, remainY));
if (remainX == targetCapacity || remainY == targetCapacity || remainX + remainY == targetCapacity) {
return true;
}
stack.push(new int[]{remainX, jug2Capacity});
stack.push(new int[]{jug1Capacity, remainY});
stack.push(new int[]{0, remainY});
stack.push(new int[]{remainX, 0});
stack.push(new int[]{remainX + Math.min(jug1Capacity - remainX, remainY), remainY - Math.min(jug1Capacity - remainX, remainY)});
stack.push(new int[]{remainX - Math.min(remainX, jug2Capacity - remainY), remainY + Math.min(remainX, jug2Capacity - remainY)});
}
return false;
}
private long getHashValue(int x, int y) {
return (long)x * 1000000L + y;
}
}
542. 01 矩阵
class Solution {
static int[][] dirs = {{-1, 0}, {1, 0}, {0, -1}, {0, 1}};
public int[][] updateMatrix(int[][] matrix) {
int m = matrix.length, n = matrix[0].length;
int[][] dist = new int[m][n];
boolean[][] seen = new boolean[m][n];
Queue queue = new LinkedList();
// 将所有的 0 添加进初始队列中
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
if (matrix[i][j] == 0) {
queue.offer(new int[]{i, j});
seen[i][j] = true;
}
}
}
// 广度优先搜索
while (!queue.isEmpty()) {
int[] cell = queue.poll();
int i = cell[0], j = cell[1];
for (int d = 0; d < 4; ++d) {
int ni = i + dirs[d][0];
int nj = j + dirs[d][1];
if (ni >= 0 && ni < m && nj >= 0 && nj < n && !seen[ni][nj]) {
dist[ni][nj] = dist[i][j] + 1;
queue.offer(new int[]{ni, nj});
seen[ni][nj] = true;
}
}
}
return dist;
}
}
class Solution {
public final int[][] dirs = new int[][]{{1, 0}, {-1, 0}, {0, 1}, {0, -1}};
public int[][] updateMatrix(int[][] mat) {
LinkedList que = new LinkedList<>();
int rows = mat.length;
int cols = mat[0].length;
for (int i = 0; i < rows; i++) {
for (int j = 0; j < cols; j++) {
if (mat[i][j] == 0) {
que.addLast(new int[]{i, j});
} else {
mat[i][j] = -1;
}
}
}
while (!que.isEmpty()) {
int[] point = que.removeFirst();
for (int[] dir : dirs) {
int x1 = point[0] + dir[0];
int y1 = point[1] + dir[1];
if (x1 >= 0 && x1 < rows && y1 >= 0 && y1 < cols && mat[x1][y1] == -1) {
mat[x1][y1] = mat[point[0]][point[1]] + 1;
que.addLast(new int[]{x1, y1});
}
}
}
return mat;
}
}
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