Given an n x n array of integers matrix, return the minimum sum of any falling path through matrix.
A falling path starts at any element in the first row and chooses the element in the next row that is either directly below or diagonally left/right. Specifically, the next element from position (row, col) will be (row + 1, col - 1), (row + 1, col), or (row + 1, col + 1).
Practice Link
class Solution {
public:
int findMinFallingPath(vector<vector<int>>& matrix, int i, int j)
{
if(i==matrix.size()-1)
return matrix[i][j];
int left=INT_MAX, bottom, right=INT_MAX;
if(j>0)
left = findMinFallingPath(matrix, i+1, j-1);
bottom = findMinFallingPath(matrix, i+1, j);
if(j<matrix.size()-1)
right = findMinFallingPath(matrix, i+1, j+1);
return matrix[i][j] + min({left, bottom, right});
}
int minFallingPathSum(vector<vector<int>>& matrix) {
int m = matrix.size();
int n = matrix[0].size();
int minSum = INT_MAX;
for(int col=0;col<n;col++)
{
minSum = min(minSum, findMinFallingPath(matrix, 0, col));
}
return minSum;
}
};
TLE - overlapping cases
Note: here the memo vector had to be initialized with -10000, since constraints say
-100 <= matrix[i][j] <= 100
, which if initialized to -1 would give TLE as -1 could be a valid answer.
class Solution {
public:
int findMinFallingPath(vector<vector<int>>& matrix, int i, int j, vector<vector<int>> &memo)
{
if(i==matrix.size()-1)
return matrix[i][j];
if(memo[i][j] != -10000)
return memo[i][j];
int left=INT_MAX, bottom, right=INT_MAX;
if(j>0)
left = findMinFallingPath(matrix, i+1, j-1, memo);
bottom = findMinFallingPath(matrix, i+1, j, memo);
if(j<matrix.size()-1)
right = findMinFallingPath(matrix, i+1, j+1, memo);
return memo[i][j] = matrix[i][j] + min({left, bottom, right});
}
int minFallingPathSum(vector<vector<int>>& matrix) {
int m = matrix.size();
int n = matrix[0].size();
vector<vector<int>> memo(m, vector<int>(n, -10000));
int minSum = INT_MAX;
for(int col=0;col<n;col++)
{
minSum = min(minSum, findMinFallingPath(matrix, 0, col, memo));
}
return minSum;
}
};