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Suppose we have a grid of size h x w. Each cell in the grid contains a positive integer. Now there is a path finding robot placed on a specific cell (p, q) (where p is the row number and q is the column number) and it can move to cell (i, j). The move operation has a specific cost equal to |p - i| |q - j|. There are now q trips with the following properties.
Each trip has two values (x, y) and has a common value d.
The robot is placed on a cell with value x and then moves to another cell with value x d.
Then it moves to another cell with value x d d. This process will continue until the robot reaches a cell with a value greater than or equal to y.
y - x is a multiple of d.
Given these trips, we must find the total cost of each trip. If the robot cannot move, the travel cost is 0.
So if the input is h = 3, w = 3, d = 3, q = 1, grid = {{2, 6, 8}, {7, 3, 4}, {5, 1 , 9}}, trips = {{3, 9}}, then the output will be 4.
3 On cell (2, 2)
6 On cell (1, 2)
9 On cell (3, 3)
Total cost = | (1 - 2) (2 - 2) | | (3 - 1) (3 - 2) | = 4.
To solve this problem, we will follow the following steps:
Define one map loc for initialize i := 0, when i < h, update (increase i by 1), do: for initialize j := 0, when j < w, update (increase j by 1), do: loc[grid[i, j]] := new pair(i, j) Define an array dp[d + 1] for initialize i := 1, when i <= d, update (increase i by 1), do: j := i while j < w * h, do: n := j + d if j + d > w * h, then: Come out from the loop dx := |first value of loc[n] - first value of loc[j]| dy := |second value of loc[n] - second value of loc[j]| j := j + d insert dx + dy at the end of dp[i] for initialize j := 1, when j < size of dp[i], update (increase j by 1), do: dp[i, j] := dp[i, j] + dp[i, j - 1] for initialize i := 0, when i < q, update (increase i by 1), do: tot := 0 le := first value of trips[i] ri := second value of trips[i] if ri mod d is same as 0, then: f := d Otherwise, f := ri mod d pxl := (le - f) / d pxr := (ri - f) / d if le is same as f, then: if ri is same as f, then: tot := 0 Otherwise tot := tot + (dp[f, pxr - 1] - 0) Otherwise if ri is same as f, then: tot := 0 Otherwise tot := tot + dp[f, pxr - 1] - dp[f, pxl - 1] print(tot)
Let us see the implementation below for better understanding −
#include <bits/stdc++.h> using namespace std; const int INF = 1e9; void solve(int h, int w, int d, int q, vector<vector<int>> grid, vector<pair<int, int>> trips) { map<int, pair<int, int>> loc; for (int i = 0; i < h; i++) { for (int j = 0; j < w; j++) loc[grid[i][j]] = make_pair(i, j); } vector<int> dp[d + 1]; for (int i = 1; i <= d; i++) { int j = i; while (j < w * h) { int n = j + d; if (j + d > w * h) break; int dx = abs(loc[n].first - loc[j].first); int dy = abs(loc[n].second - loc[j].second); j += d; dp[i].push_back(dx + dy); } for (j = 1; j < dp[i].size(); j++) dp[i][j] += dp[i][j - 1]; } for (int i = 0; i < q; i++) { int tot = 0; int le, ri; le = trips[i].first; ri = trips[i].second; int f; if (ri % d == 0) f = d; else f = ri % d; int pxl, pxr; pxl = (le - f) / d; pxr = (ri - f) / d; if (le == f){ if (ri == f) tot = 0; else tot += (dp[f][pxr - 1] - 0); } else { if (ri == f) tot = 0; else tot += dp[f][pxr - 1] - dp[f][pxl - 1]; } cout<< tot << endl; } } int main() { int h = 3, w = 3, d = 3, q = 1; vector<vector<int>> grid = {{2, 6, 8}, {7, 3, 4}, {5, 1, 9}}; vector<pair<int, int>> trips = {{3, 9}}; solve(h, w, d, q, grid, trips); return 0; }
3, 3, 3, 1, {{2, 6, 8}, {7, 3, 4}, {5, 1, 9}}, {{3, 9}}
4
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