Minimum cells required to reach destination with jumps equal to cell values
Given a m x n matrix mat[][] containing positive integers. The problem is to reach to the cell (m-1, n-1) from the cell (0, 0) by following the given constraints. From a cell (i, j) one can move ‘exactly’ a distance of ‘mat[i][j]’ to the right (in the same row) or to below (in the same column) only if the movement takes to a cell within matrix boundaries.
For example: Given mat[1][1] = 4, then one can move to cells mat[1][5] and mat[5][1] only if these cells exists in the matrix. Following the constraints check whether one can reach cell (m-1, n-1) from (0, 0). 1If one can reach then print the minimum number of cells required to be covered during the movement else print “-1”.
Examples:
Input : mat[][] = { {2, 3, 2, 1, 4},
{3, 2, 5, 8, 2},
{1, 1, 2, 2, 1} }
Output : 4
The movement and cells covered are as follows:
(0, 0)->(0, 2)
|
(2, 2)->(2, 4)
Input : mat[][] = { {2, 4, 2},
{5, 3, 8},
{1, 1, 1} }
Output : 3
Algorithm: A dynamic programming approach is given below:
Below is the implementation of above approach:
C++
// C++ implementation to count minimum cells required // to be covered to reach destination #include <bits/stdc++.h> using namespace std; #define SIZE 100 // function to count minimum cells required // to be covered to reach destination int minCells(int mat[SIZE][SIZE], int m, int n) { // to store min cells required to be // covered to reach a particular cell int dp[m][n]; // initially no cells can be reached for (int i = 0; i < m; i++) for (int j = 0; j < n; j++) dp[i][j] = INT_MAX; // base case dp[0][0] = 1; // building up the dp[][] matrix for (int i = 0; i < m; i++) { for (int j = 0; j < n; j++) { // dp[i][j] != INT_MAX denotes that cell (i, j) // can be reached from cell (0, 0) and the other // half of the condition finds the cell on the // right that can be reached from (i, j) if (dp[i][j] != INT_MAX && (j + mat[i][j]) < n && (dp[i][j] + 1) < dp[i][j + mat[i][j]]) dp[i][j + mat[i][j]] = dp[i][j] + 1; // the other half of the condition finds the cell // right below that can be reached from (i, j) if (dp[i][j] != INT_MAX && (i + mat[i][j]) < m && (dp[i][j] + 1) < dp[i + mat[i][j]][j]) dp[i + mat[i][j]][j] = dp[i][j] + 1; } } // it true then cell (m-1, n-1) can be reached // from cell (0, 0) and returns the minimum // number of cells covered if (dp[m - 1][n - 1] != INT_MAX) return dp[m - 1][n - 1]; // cell (m-1, n-1) cannot be reached from // cell (0, 0) return -1; } // Driver program to test above int main() { int mat[SIZE][SIZE] = { { 2, 3, 2, 1, 4 }, { 3, 2, 5, 8, 2 }, { 1, 1, 2, 2, 1 } }; int m = 3, n = 5; cout << "Minimum number of cells = " << minCells(mat, m, n); return 0; } |
Java
// Java implementation to count minimum // cells required to be covered to reach // destination class MinCellsDestination { static final int SIZE=100; // function to count minimum cells required // to be covered to reach destination static int minCells(int mat[][], int m, int n) { // to store min cells required to be // covered to reach a particular cell int dp[][] = new int[m][n]; // initially no cells can be reached for (int i = 0; i < m; i++) for (int j = 0; j < n; j++) dp[i][j] = Integer.MAX_VALUE; // base case dp[0][0] = 1; // building up the dp[][] matrix for (int i = 0; i < m; i++) { for (int j = 0; j < n; j++) { // dp[i][j] != INT_MAX denotes that cell // (i, j) can be reached from cell (0, 0) // and the other half of the condition // finds the cell on the right that can // be reached from (i, j) if (dp[i][j] != Integer.MAX_VALUE && (j + mat[i][j]) < n && (dp[i][j] + 1) < dp[i][j + mat[i][j]]) dp[i][j + mat[i][j]] = dp[i][j] + 1; // the other half of the condition finds // the cell right below that can be // reached from (i, j) if (dp[i][j] != Integer.MAX_VALUE && (i + mat[i][j]) < m && (dp[i][j] + 1) < dp[i + mat[i][j]][j]) dp[i + mat[i][j]][j] = dp[i][j] + 1; } } // it true then cell (m-1, n-1) can be reached // from cell (0, 0) and returns the minimum // number of cells covered if (dp[m - 1][n - 1] != Integer.MAX_VALUE) return dp[m - 1][n - 1]; // cell (m-1, n-1) cannot be reached from // cell (0, 0) return -1; } // Driver code public static void main(String args[]) { int mat[][] = { { 2, 3, 2, 1, 4 }, { 3, 2, 5, 8, 2 }, { 1, 1, 2, 2, 1 }}; int m = 3, n = 5; System.out.println("Minimum number of cells" + " = " + minCells(mat, m, n)); } } /* This code is contributed by Danish Kaleem */ |
Python3
# Python3 implementation to count minimum cells required # to be covered to reach destination SIZE=100 MAX=10000000# function to count minimum cells required # to be covered to reach destination def minCells( mat, m, n): # to store min cells required to be # covered to reach a particular cell dp=[[MAX for i in range(n)]for i in range(m)] # initially no cells can be reached # base case dp[0][0] = 1 # building up the dp[][] matrix for i in range(m): for j in range(n): # dp[i][j] != MAX denotes that cell (i, j) # can be reached from cell (0, 0) and the other # half of the condition finds the cell on the # right that can be reached from (i, j) if (dp[i][j] != MAX and (j + mat[i][j]) < n and (dp[i][j] + 1) < dp[i][j + mat[i][j]]): dp[i][j + mat[i][j]] = dp[i][j] + 1 # the other half of the condition finds the cell # right below that can be reached from (i, j) if (dp[i][j] != MAX and (i + mat[i][j]) < m and (dp[i][j] + 1) < dp[i + mat[i][j]][j]): dp[i + mat[i][j]][j] = dp[i][j] + 1 # it true then cell (m-1, n-1) can be reached # from cell (0, 0) and returns the minimum # number of cells covered if (dp[m - 1][n - 1] != MAX): return dp[m - 1][n - 1] # cell (m-1, n-1) cannot be reached from # cell (0, 0) return -1 # Driver program to test above mat= [ [ 2, 3, 2, 1, 4 ], [ 3, 2, 5, 8, 2 ], [ 1, 1, 2, 2, 1 ]] m = 3n = 5 print("Minimum number of cells = ", minCells(mat, m, n)) #this code is contributed by sahilshelangia |
C#
// C# implementation to count minimum // cells required to be covered to reach // destination using System; class GFG { //static int SIZE=100; // function to count minimum cells required // to be covered to reach destination static int minCells(int [,]mat, int m, int n) { // to store min cells required to be // covered to reach a particular cell int [,]dp = new int[m,n]; // initially no cells can be reached for (int i = 0; i < m; i++) for (int j = 0; j < n; j++) dp[i,j] = int.MaxValue; // base case dp[0,0] = 1; // building up the dp[][] matrix for (int i = 0; i < m; i++) { for (int j = 0; j < n; j++) { // dp[i][j] != INT_MAX denotes that // cell (i, j) can be reached from // cell (0, 0) and the other half // of the condition finds the cell // on the right that can be reached // from (i, j) if (dp[i,j] != int.MaxValue && (j + mat[i,j]) < n && (dp[i,j] + 1) < dp[i,j + mat[i,j]]) dp[i,j + mat[i,j]] = dp[i,j] + 1; // the other half of the condition // finds the cell right below that // can be reached from (i, j) if (dp[i,j] != int.MaxValue && (i + mat[i,j]) < m && (dp[i,j] + 1) < dp[i + mat[i,j],j]) dp[i + mat[i,j],j] = dp[i,j] + 1; } } // it true then cell (m-1, n-1) can be // reached from cell (0, 0) and returns // the minimum number of cells covered if (dp[m - 1,n - 1] != int.MaxValue) return dp[m - 1,n - 1]; // cell (m-1, n-1) cannot be reached from // cell (0, 0) return -1; } // Driver code public static void Main() { int [,]mat = { { 2, 3, 2, 1, 4 }, { 3, 2, 5, 8, 2 }, { 1, 1, 2, 2, 1 } }; int m = 3, n = 5; Console.WriteLine("Minimum number of " + "cells = " + minCells(mat, m, n)); } } // This code is contributed by anuj_67. |
PHP
<?php // PHP implementation to count // minimum cells required to be // covered to reach destination // function to count minimum // cells required to be // covered to reach destination function minCells( $mat, $m, $n) { // to store min cells // required to be // covered to reach // a particular cell $dp =array(array()); // initially no cells // can be reached for($i = 0; $i < $m; $i++) for($j = 0; $j < $n; $j++) $dp[$i][$j] = PHP_INT_MAX; // base case $dp[0][0] = 1; // building up the dp[][] matrix for($i = 0; $i < $m; $i++) { for($j = 0; $j < $n; $j++) { // dp[i][j] != INT_MAX // denotes that cell (i, j) // can be reached from cell // (0, 0) and the other half // of the condition finds the // cell on the right that can // be reached from (i, j) if ($dp[$i][$j] != PHP_INT_MAX and ($j + $mat[$i][$j]) <$n and ($dp[$i][$j] + 1) < $dp[$i][$j + $mat[$i][$j]]) $dp[$i][$j + $mat[$i][$j]] = $dp[$i][$j] + 1; // the other half of the // condition finds the cell // right below that can be // reached from (i, j) if ($dp[$i][$j] != PHP_INT_MAX and ($i + $mat[$i][$j]) < $m and ($dp[$i][$j] + 1) < $dp[$i +$mat[$i][$j]][$j]) $dp[$i + $mat[$i][$j]][$j] = $dp[$i][$j] + 1; } } // it true then cell // (m-1, n-1) can be reached // from cell (0, 0) and // returns the minimum // number of cells covered if ($dp[$m - 1][$n - 1] != PHP_INT_MAX) return $dp[$m - 1][$n - 1]; // cell (m-1, n-1) cannot // be reached from // cell (0, 0) return -1; } // Driver Code $mat = array(array(2, 3, 2, 1, 4), array(3, 2, 5, 8, 2), array(1, 1, 2, 2, 1)); $m = 3; $n = 5; echo "Minimum number of cells = " , minCells($mat, $m, $n); // This code is contributed by anuj_67. ?> |
Output:
Minimum number of cells = 4
Time Complexity: O(m*n)
Auxiliary Space: O(m*n)
This article is contributed by Ayush Jauhari. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
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.
