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Commit ebabf74

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Maximum path sum in matrix
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"""
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Problem Link: https://practice.geeksforgeeks.org/problems/path-in-matrix3805/1
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Given a NxN matrix of positive integers. There are only three possible moves from a cell Matrix[r][c].
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Matrix [r+1] [c]
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Matrix [r+1] [c-1]
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Matrix [r+1] [c+1]
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Starting from any column in row 0, return the largest sum of any of the paths up to row N-1.
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Example 1:
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Input: N = 2
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Matrix = {{348, 391},
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{618, 193}}
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Output: 1009
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Explaination: The best path is 391 -> 618.
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It gives the sum = 1009.
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Example 2:
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Input: N = 2
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Matrix = {{2, 2},
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{2, 2}}
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Output: 4
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Explaination: No matter which path is
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chosen, the output is 4.
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Your Task:
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You do not need to read input or print anything. Your task is to complete the function maximumPath() which takes the size N
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and the Matrix as input parameters and returns the highest maximum path sum.
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Expected Time Complexity: O(N*N)
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Expected Auxiliary Space: O(N*N)
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Constraints:
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1 ≤ N ≤ 100
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1 ≤ Matrix[i][j] ≤ 1000
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"""
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class Solution:
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def maximumPath(self, N, Matrix):
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dp = [[0] * N for _ in range(N)]
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directions = [[1, 1], [1, -1], [1, 0]]
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max_path_sum = 0
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for row in range(N-1, -1, -1):
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for col in range(N):
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max_val = 0
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for r, c in directions:
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new_row = r + row
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new_col = c + col
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if new_row >= 0 and new_col >= 0 and new_row < N and new_col < N:
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max_val = max(max_val, dp[new_row][new_col])
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dp[row][col] = Matrix[row][col] + max_val
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max_path_sum = max(max_path_sum, dp[row][col])
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return max_path_sum

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