# Minimum sum falling path in a NxN grid

Given an square array **A** of integers of size **NxN**. The task is to find the minimum sum of a falling path through **A**.

A falling path will starts at any element in the first row and ends in last row. It chooses one element from each next row. The next row’s choice must be in a column that is different from the previous row’s column by **at most** one.

Examples:

Input:N = 2 mat[2][2] = {{5, 10}, {25, 15}}Output:20 Selected elements are 5, 15.Input:N = 3 mat[3][3] = {{1, 2, 3}, { 4, 5, 6}, { 7, 8, 9}} Output: 12 Selected elements are 1, 4, 7.

**Approach:** This problem has an **optimal substructure**, meaning that the solutions to sub-problems can be used to solve larger instances of this problem. This makes **dynamic programming** came into existence.

Let **dp[R][C]** be the minimum total weight of a falling path starting at **[R, C]** in first row and reaching to the bottom row of A.

Then, , and the answer is minimum value of first row i:e .

We would make an auxiliary array **dp** to cache intermediate values **dp[R][C]**. However, we will use **A** to cache these values. Our goal is to transform the values of **A** into the values of **dp**.

We begins processing each row, starting with the second last row. We set , handling boundary conditions gracefully.

Explanation of above Approach:

Let’s look at the recursion a little more to get a handle on why it works. For an array likeA = [[1, 2, 3], [4, 5, 6], [7, 8, 9]],imagine you are at(1, 0) (A[1][0] = 4). You can either go to(2, 0)and get a weight of7, or(2, 1)and get a weight of8. Since7is lower, we say that the minimum total weight at(1, 0)isdp(1, 0) = 5 + 7(7 for the original A[R][C].)

After visiting(1, 0), (1, 1), and (1, 2), A [which is storing the values of our dp], looks like[[1, 2, 3], [11, 12, 14], [7, 8, 9]]. We do this procedure again by visiting(0, 0), (0, 1), (0, 2).

We get , and the final answer ismin(A[0][C]) = 12for all C in range 0 to n.

Below is the implementation of above approach.

## C++

`// C++ Program to minimum required sum` `#include <bits/stdc++.h>` `using` `namespace` `std;` `const` `int` `n = 3;` `// Function to return minimum path falling sum` `int` `minFallingPathSum(` `int` `(&A)[n][n])` `{` ` ` `// R = Row and C = Column` ` ` `// We begin from second last row and keep` ` ` `// adding maximum sum.` ` ` `for` `(` `int` `R = n - 2; R >= 0; --R) {` ` ` `for` `(` `int` `C = 0; C < n; ++C) {` ` ` `// best = min(A[R+1][C-1], A[R+1][C], A[R+1][C+1])` ` ` `int` `best = A[R + 1][C];` ` ` `if` `(C > 0)` ` ` `best = min(best, A[R + 1][C - 1]);` ` ` `if` `(C + 1 < n)` ` ` `best = min(best, A[R + 1][C + 1]);` ` ` `A[R][C] = A[R][C] + best;` ` ` `}` ` ` `}` ` ` `int` `ans = INT_MAX;` ` ` `for` `(` `int` `i = 0; i < n; ++i)` ` ` `ans = min(ans, A[0][i]);` ` ` `return` `ans;` `}` `// Driver program` `int` `main()` `{` ` ` `int` `A[n][n] = { { 1, 2, 3 },` ` ` `{ 4, 5, 6 },` ` ` `{ 7, 8, 9 } };` ` ` `// function to print required answer` ` ` `cout << minFallingPathSum(A);` ` ` `return` `0;` `}` |

## Java

`// Java Program to minimum required sum` `import` `java.io.*;` `class` `GFG {` `static` `int` `n = ` `3` `;` `// Function to return minimum path falling sum` `static` `int` `minFallingPathSum(` `int` `A[][])` `{` ` ` `// R = Row and C = Column` ` ` `// We begin from second last row and keep` ` ` `// adding maximum sum.` ` ` `for` `(` `int` `R = n - ` `2` `; R >= ` `0` `; --R) {` ` ` `for` `(` `int` `C = ` `0` `; C < n; ++C) {` ` ` `// best = min(A[R+1][C-1], A[R+1][C], A[R+1][C+1])` ` ` `int` `best = A[R + ` `1` `][C];` ` ` `if` `(C > ` `0` `)` ` ` `best = Math.min(best, A[R + ` `1` `][C - ` `1` `]);` ` ` `if` `(C + ` `1` `< n)` ` ` `best = Math.min(best, A[R + ` `1` `][C + ` `1` `]);` ` ` `A[R][C] = A[R][C] + best;` ` ` `}` ` ` `}` ` ` `int` `ans = Integer.MAX_VALUE;` ` ` `for` `(` `int` `i = ` `0` `; i < n; ++i)` ` ` `ans = Math.min(ans, A[` `0` `][i]);` ` ` `return` `ans;` `}` `// Driver program` `public` `static` `void` `main (String[] args) {` ` ` `int` `A[][] = { { ` `1` `, ` `2` `, ` `3` `},` ` ` `{ ` `4` `, ` `5` `, ` `6` `},` ` ` `{ ` `7` `, ` `8` `, ` `9` `} };` ` ` `// function to print required answer` ` ` `System.out.println( minFallingPathSum(A));` ` ` `}` `}` `// This code is contributed by inder_verma..` |

## Python 3

`# Python3 Program to minimum` `# required sum` `import` `sys` `n ` `=` `3` `# Function to return minimum` `# path falling sum` `def` `minFallingPathSum(A) :` ` ` `# R = Row and C = Column` ` ` `# We begin from second last row and keep` ` ` `# adding maximum sum.` ` ` `for` `R ` `in` `range` `(n ` `-` `2` `, ` `-` `1` `, ` `-` `1` `) :` ` ` `for` `C ` `in` `range` `(n) :` ` ` `# best = min(A[R+1][C-1], A[R+1][C],` ` ` `# A[R+1][C+1])` ` ` `best ` `=` `A[R ` `+` `1` `][C]` ` ` `if` `C > ` `0` `:` ` ` `best ` `=` `min` `(best, A[R ` `+` `1` `][C ` `-` `1` `])` ` ` `if` `C ` `+` `1` `< n :` ` ` `best ` `=` `min` `(best, A[R ` `+` `1` `][C ` `+` `1` `])` ` ` `A[R][C] ` `=` `A[R][C] ` `+` `best` ` ` `ans ` `=` `sys.maxsize` ` ` `for` `i ` `in` `range` `(n) :` ` ` `ans ` `=` `min` `(ans, A[` `0` `][i])` ` ` ` ` `return` `ans` ` ` `# Driver code` `if` `__name__ ` `=` `=` `"__main__"` `:` ` ` `A ` `=` `[ [ ` `1` `, ` `2` `, ` `3` `],` ` ` `[ ` `4` `, ` `5` `, ` `6` `],` ` ` `[ ` `7` `, ` `8` `, ` `9` `] ]` ` ` `# function to print required answer` ` ` `print` `(minFallingPathSum(A))` `# This code is contributed by` `# ANKITRAI1` |

## C#

`// C# Program to minimum required sum` `using` `System;` `class` `GFG {` `static` `int` `n = 3;` `// Function to return minimum path falling sum` `static` `int` `minFallingPathSum(` `int` `[,] A)` `{` ` ` `// R = Row and C = Column` ` ` `// We begin from second last row and keep` ` ` `// adding maximum sum.` ` ` `for` `(` `int` `R = n - 2; R >= 0; --R) {` ` ` `for` `(` `int` `C = 0; C < n; ++C) {` ` ` `// best = min(A[R+1,C-1], A[R+1,C], A[R+1,C+1])` ` ` `int` `best = A[R + 1,C];` ` ` `if` `(C > 0)` ` ` `best = Math.Min(best, A[R + 1,C - 1]);` ` ` `if` `(C + 1 < n)` ` ` `best = Math.Min(best, A[R + 1,C + 1]);` ` ` `A[R,C] = A[R,C] + best;` ` ` `}` ` ` `}` ` ` `int` `ans = ` `int` `.MaxValue;` ` ` `for` `(` `int` `i = 0; i < n; ++i)` ` ` `ans = Math.Min(ans, A[0,i]);` ` ` `return` `ans;` `}` `// Driver program` `public` `static` `void` `Main () {` ` ` `int` `[,] A = { { 1, 2, 3 },` ` ` `{ 4, 5, 6 },` ` ` `{ 7, 8, 9 } };` ` ` `// function to print required answer` ` ` `Console.WriteLine( minFallingPathSum(A));` ` ` `}` `}` `// This code is contributed by Subhadeep..` |

## Javascript

`<script>` ` ` `// Javascript Program to minimum required sum ` ` ` `let n = 3;` ` ` ` ` `// Function to return minimum path falling sum` ` ` `function` `minFallingPathSum(A)` ` ` `{` ` ` `// R = Row and C = Column` ` ` `// We begin from second last row and keep` ` ` `// adding maximum sum.` ` ` `for` `(let R = n - 2; R >= 0; --R) {` ` ` `for` `(let C = 0; C < n; ++C) {` ` ` `// best = min(A[R+1][C-1], A[R+1][C], A[R+1][C+1])` ` ` `let best = A[R + 1][C];` ` ` `if` `(C > 0)` ` ` `best = Math.min(best, A[R + 1][C - 1]);` ` ` `if` `(C + 1 < n)` ` ` `best = Math.min(best, A[R + 1][C + 1]);` ` ` `A[R][C] = A[R][C] + best;` ` ` `}` ` ` `}` ` ` `let ans = Number.MAX_VALUE;` ` ` `for` `(let i = 0; i < n; ++i)` ` ` `ans = Math.min(ans, A[0][i]);` ` ` `return` `ans;` ` ` `}` ` ` ` ` `let A = [ [ 1, 2, 3 ],` ` ` `[ 4, 5, 6 ],` ` ` `[ 7, 8, 9 ] ];` ` ` ` ` `// function to print required answer` ` ` `document.write(minFallingPathSum(A));` ` ` ` ` `// This code is contributed by divyesh072019.` `</script>` |

**Output**

12

**Time Complexity:** O(N^{2})

**Top-Down Approach:**

- Compute a function and follow up the recursive solution.
- Consider all the base conditions.
- Start moving in all the possible directions as mentioned in the question.
- When reached the end corner of the grid, simply consider the minimum fall path sum.
- Return the minimum falling path sum.

Below is the implementation of the above approach:

## Python3

`# Python3 program for the above approach` `def` `fallingpathsum(grid, row, col, Row, Col, dp):` ` ` `# Base condition` ` ` `if` `row ` `=` `=` `Row` `-` `1` `and` `col ` `=` `=` `Col` `-` `1` `: ` ` ` `return` `grid[row][col]` ` ` ` ` `# Base condition` ` ` `if` `row > Row` `-` `1` `or` `col > Col` `-` `1` `: ` ` ` `return` `0` ` ` ` ` `# Respective directions` ` ` `rightdown ` `=` `fallingpathsum(grid, row` `+` `1` `, col, Row, Col, dp)` ` ` `rdd ` `=` `fallingpathsum(grid, row` `+` `1` `, col` `+` `1` `, Row, Col, dp)` ` ` `ldd ` `=` `fallingpathsum(grid, row` `+` `1` `, col` `-` `1` `, Row, Col, dp)` ` ` ` ` `# Checking for duplicates` ` ` `if` `dp[row][col] ` `=` `=` `-` `1` `:` ` ` `dp[row][col] ` `=` `grid[row][col] ` `+` `min` `(rightdown, ldd, rdd)` ` ` `return` `dp[row][col]` `grid ` `=` `[[` `1` `,` `2` `,` `3` `], [` `4` `,` `5` `,` `6` `],[` `7` `,` `8` `,` `9` `]]` `Row ` `=` `len` `(grid)` `Col ` `=` `len` `(grid[` `0` `])` `dp ` `=` `[[` `-` `1` `for` `i ` `in` `range` `(Row)]` `for` `_ ` `in` `range` `(Col)]` `print` `(fallingpathsum(grid, ` `0` `, ` `0` `, Row, Col, dp))` `# CODE CONTRIBUTED BY RAMPRASAD KONDOJU` |

**Output**

20

**Time Complexity:** O(N)

Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the **DSA Self Paced Course** at a student-friendly price and become industry ready. To complete your preparation from learning a language to DS Algo and many more, please refer **Complete Interview Preparation Course****.**

In case you wish to attend **live classes **with experts, please refer **DSA Live Classes for Working Professionals **and **Competitive Programming Live for Students**.