LeetCode //C - 329. Longest Increasing Path in a Matrix

329. Longest Increasing Path in a Matrix

Given an m x n integers matrix, return the length of the longest increasing path in matrix.

From each cell, you can either move in four directions: left, right, up, or down. You may not move diagonally or move outside the boundary (i.e., wrap-around is not allowed).

Example 1:

Input: matrix = \[9,9,4,6,6,8,2,1,1]
Output: 4
Explanation: The longest increasing path is 1, 2, 6, 9.

Example 2:

Input: matrix = \[3,4,5,3,2,6,2,2,1]
Output: 4
Explanation: The longest increasing path is 3, 4, 5, 6. Moving diagonally is not allowed.

Example 3:

Input: matrix = \[1]
Output: 1

Constraints:
  • m == matrix.length
  • n == matrixi.length
  • 1 <= m, n <= 200
  • 0 < = m a t r i x i j < = 2 31 − 1 0 <= matrixij <= 2^{31} - 1 0<=matrixij<=231−1

From: LeetCode

Link: 329. Longest Increasing Path in a Matrix


Solution:

Ideas:
  • DFS with Memoization: The solution uses Depth-First Search (DFS) combined with memoization to explore all possible paths starting from each cell in the matrix.
  • Memoization: An array memo is used to store the length of the longest path starting from each cell to avoid redundant calculations.
  • Directions Array: The array directions stores the four possible directions (up, down, left, right) in which one can move.
Code:
c 复制代码
int dfs(int** matrix, int m, int n, int** memo, int i, int j) {
    if (memo[i][j] != 0) return memo[i][j];
    
    int directions[4][2] = {{1, 0}, {-1, 0}, {0, 1}, {0, -1}};
    int maxLength = 1;
    
    for (int d = 0; d < 4; d++) {
        int x = i + directions[d][0];
        int y = j + directions[d][1];
        
        if (x >= 0 && x < m && y >= 0 && y < n && matrix[x][y] > matrix[i][j]) {
            int len = 1 + dfs(matrix, m, n, memo, x, y);
            maxLength = (len > maxLength) ? len : maxLength;
        }
    }
    
    memo[i][j] = maxLength;
    return maxLength;
}

int longestIncreasingPath(int** matrix, int matrixSize, int* matrixColSize) {
    if (matrixSize == 0 || matrixColSize[0] == 0) return 0;
    
    int m = matrixSize;
    int n = matrixColSize[0];
    
    int** memo = (int**)malloc(m * sizeof(int*));
    for (int i = 0; i < m; i++) {
        memo[i] = (int*)calloc(n, sizeof(int));
    }
    
    int result = 0;
    for (int i = 0; i < m; i++) {
        for (int j = 0; j < n; j++) {
            int len = dfs(matrix, m, n, memo, i, j);
            result = (len > result) ? len : result;
        }
    }
    
    for (int i = 0; i < m; i++) {
        free(memo[i]);
    }
    free(memo);
    
    return result;
}
相关推荐
tudousisi22221 分钟前
P4447 [AHOI2018初中组] 分组 题解复盘
算法
SNAKEpc1213822 分钟前
OpenGL(十一)- 变换管线
c语言·c++·算法·矩阵·图形渲染
小小龙学IT32 分钟前
Day 26-27 项目实战:从零构建一个高并发聊天室(epoll + 线程池)
linux·服务器·c语言·开发语言·网络
c238561 小时前
MySQL 基础用法(下):查询进阶与核心特性
android·c语言·c++·mysql
十月的皮皮2 小时前
STM32从零到量产开发:四路继电器工业控制模块开发 - 上位机操作说明书
c语言·stm32·单片机·stm32cubemx
饼饼学习空间智能2 小时前
遥操作数据能否提升机器人自主化水平?详解模仿学习、仿真放大与Sim2Real闭环
人工智能·算法
间歇性努力持续性发呆的野生快乐选手3 小时前
dfs回溯,bfs枚举,完全背包
c++·算法·深度优先·宽度优先
嵌入式冰箱3 小时前
2026年华数杯B题完整解题思路与建模方案
算法
郝学胜_神的一滴3 小时前
干货版《算法导论》17:双数极值配对与卡牌手牌编码最优解
数据结构·算法
小僧景贤3 小时前
嵌入式C语言 第十一篇:成长路线|嵌入式C工程师完整进阶学习路径(从零到工程级落地|含周期+实战项目)
c语言·开发语言·学习