/**
Given an integer matrix, find the length of the longest increasing path.
From each cell, you can either move to four directions: left, right, up or down. You may NOT move diagonally or move outside of the boundary (i.e. wrap-around is not allowed).
Example 1:
Input: nums =
[
[9,9,4],
[6,6,8],
[2,1,1]
]
Output: 4
Explanation: The longest increasing path is [1, 2, 6, 9].
Example 2:
Input: nums =
[
[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.
*/
/**
Solution:
o get max length of increasing sequences:
Do DFS from every cell
Compare every 4 direction and skip cells that are out of boundary or smaller
Get matrix max from every cell's max
Use matrix[x][y] <= matrix[i][j] so we don't need a visited[m][n] array
The key is to cache the distance because it's highly possible to revisit a cell
Complexity:
the DFS here is basically like DP with memorization. Every cell that has been computed will not be computed again, only a value look-up is performed. So this is O(mn), m and n being the width and height of the matrix.
To be exact, each cell can be accessed 5 times at most: 4 times from the top, bottom, left and right and one time from the outermost double for loop. 4 of these 5 visits will be look-ups except for the first one. So the running time should be lowercase o(5mn), which is of course O(mn).
*/
public class LongestIncreasingPathInMatrix{
public static final int[][] dirs = {{0, 1}, {1, 0}, {0, -1}, {-1, 0}};
public int longestIncreasingPath(int[][] matrix) {
if(matrix.length == 0) return 0;
int m = matrix.length, n = matrix[0].length;
int[][] cache = new int[m][n];
int max = 1;
for(int i = 0; i < m; i++) {
for(int j = 0; j < n; j++) {
int len = dfs(matrix, i, j, m, n, cache);
max = Math.max(max, len);
}
}
return max;
}
public int dfs(int[][] matrix, int i, int j, int m, int n, int[][] cache) {
if(cache[i][j] != 0) return cache[i][j];
int max = 1;
for(int[] dir:dirs){
int x = i + dir[0], y = j+dir[1];
if(x<0 || x>=m || y<0 || y>=n || matrix[i][j]<=matrix[x][y]){
continue;
}
int len = 1 + dfs(matrix, x, y, m, n, cache);
max = Math.max(len, max);
}
cache[i][j] = max;
return max;
}
}
Given an integer matrix, find the length of the longest increasing path.
From each cell, you can either move to four directions: left, right, up or down. You may NOT move diagonally or move outside of the boundary (i.e. wrap-around is not allowed).
Example 1:
Input: nums =
[
[9,9,4],
[6,6,8],
[2,1,1]
]
Output: 4
Explanation: The longest increasing path is [1, 2, 6, 9].
Example 2:
Input: nums =
[
[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.
*/
/**
Solution:
o get max length of increasing sequences:
Do DFS from every cell
Compare every 4 direction and skip cells that are out of boundary or smaller
Get matrix max from every cell's max
Use matrix[x][y] <= matrix[i][j] so we don't need a visited[m][n] array
The key is to cache the distance because it's highly possible to revisit a cell
Complexity:
the DFS here is basically like DP with memorization. Every cell that has been computed will not be computed again, only a value look-up is performed. So this is O(mn), m and n being the width and height of the matrix.
To be exact, each cell can be accessed 5 times at most: 4 times from the top, bottom, left and right and one time from the outermost double for loop. 4 of these 5 visits will be look-ups except for the first one. So the running time should be lowercase o(5mn), which is of course O(mn).
*/
public class LongestIncreasingPathInMatrix{
public static final int[][] dirs = {{0, 1}, {1, 0}, {0, -1}, {-1, 0}};
public int longestIncreasingPath(int[][] matrix) {
if(matrix.length == 0) return 0;
int m = matrix.length, n = matrix[0].length;
int[][] cache = new int[m][n];
int max = 1;
for(int i = 0; i < m; i++) {
for(int j = 0; j < n; j++) {
int len = dfs(matrix, i, j, m, n, cache);
max = Math.max(max, len);
}
}
return max;
}
public int dfs(int[][] matrix, int i, int j, int m, int n, int[][] cache) {
if(cache[i][j] != 0) return cache[i][j];
int max = 1;
for(int[] dir:dirs){
int x = i + dir[0], y = j+dir[1];
if(x<0 || x>=m || y<0 || y>=n || matrix[i][j]<=matrix[x][y]){
continue;
}
int len = 1 + dfs(matrix, x, y, m, n, cache);
max = Math.max(len, max);
}
cache[i][j] = max;
return max;
}
}
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