Triangle#

Problem statement#

[1]You’re provided with a triangle array. Your goal is to find the smallest possible sum of a path from the top of the triangle to the bottom.

At each step, you have the option to move to an adjacent number in the row below. Specifically, if you’re at index i in the current row, you can move to either index i or index i + 1 in the next row.

Example 1#

Input: triangle = [[2],[3,4],[6,5,7],[4,1,8,3]]
Output: 11
Explanation: The triangle looks like:
   2
  3 4
 6 5 7
4 1 8 3
The minimum path sum from top to bottom is 2 + 3 + 5 + 1 = 11 (underlined above).

Example 2#

Input: triangle = [[-10]]
Output: -10

Constraints#

1 <= triangle.length <= 200.
triangle[0].length == 1.
triangle[i].length == triangle[i - 1].length + 1.
-10^4 <= triangle[i][j] <= 10^4.

Follow up#

Could you do this using only O(n) extra space, where n is the total number of rows in the triangle?

Solution 1: Store all minimum paths#

You can store all minimum paths at every positions (i,j) so you can compute the next ones with this relationship.

minPath[i][j] = triangle[i][j] + min(minPath[i - 1][j - 1], minPath[i - 1][j]);

Code#

#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int minimumTotal(const vector<vector<int>>& triangle) {
    const int n = triangle.size(); // triangle's height
    vector<vector<int>> minPath(n);
    minPath[0] = triangle[0];
    for (int i = 1; i < n; i++) {
        const int N = triangle[i].size();
        minPath[i].resize(N);
        // left most number
        minPath[i][0] = triangle[i][0] + minPath[i-1][0];
        for (int j = 1; j < N - 1; j++) {
            minPath[i][j] = triangle[i][j] + min(minPath[i-1][j-1], minPath[i-1][j]);
        }
        // right most number
        minPath[i][N-1] = triangle[i][N-1] + minPath[i-1][N-2];

    }
    // pick the min path among the ones (begin -> end)
    // go to the bottom (n-1)
    return *min_element(minPath[n-1].begin(), minPath[n-1].end());
}
int main() {
    vector<vector<int>> triangle{{2},{3,4},{6,5,7},{4,1,8,3}};
    cout << minimumTotal(triangle) << endl;
    triangle = {{-10}};
    cout << minimumTotal(triangle) << endl;
}

Output:
11
-10

This solution finds the minimum path sum from the top to the bottom of a triangle, represented as a vector of vectors. It uses dynamic programming to calculate the minimum path sum.

The algorithm initializes a minPath vector of vectors to store the minimum path sum for each element in the triangle. It starts by setting the first row of minPath to be the same as the first row of the triangle.

Then, it iterates through the rows of the triangle starting from the second row. For each element in the current row, it calculates the minimum path sum by considering the two possible paths from the previous row that lead to that element. It takes the minimum of the two paths and adds the value of the current element. This way, it accumulates the minimum path sum efficiently.

The algorithm continues this process until it reaches the last row of the triangle. Finally, it returns the minimum element from the last row of minPath, which represents the minimum path sum from top to bottom.

Complexity#

Runtime: O(n^2), where n is the number of rows in the triangle.
Extra space: O(n^2).

Solution 2: Store only the minimum paths of each row#

You do not need to store all paths for all rows. The computation of the next row only depends on its previous one.

Code#

#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
int minimumTotal(const vector<vector<int>>& triangle) {
    const int n = triangle.size();
    // store only min path for each row
    vector<int> minPath(n);
    minPath[0] = triangle[0][0];
    for (int i = 1; i < n; i++) {
        // right most number
        minPath[i] = triangle[i][i] + minPath[i - 1];
        for (int j = i - 1; j > 0; j--) {
            minPath[j] = triangle[i][j] + min(minPath[j - 1], minPath[j]);
        }
        // left most number
        minPath[0] = triangle[i][0] + minPath[0];
    }
    return *min_element(minPath.begin(), minPath.end());
}
int main() {
    vector<vector<int>> triangle{{2},{3,4},{6,5,7},{4,1,8,3}};
    cout << minimumTotal(triangle) << endl;
    triangle = {{-10}};
    cout << minimumTotal(triangle) << endl;
}

Output:
11
-10

Complexity#

Runtime: O(n^2), where n is the number of rows in the triangle.
Extra space: O(n).