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2087. Minimum Cost Homecoming of a Robot in a Grid
Description
There is an m x n
grid, where (0, 0)
is the top-left cell and (m - 1, n - 1)
is the bottom-right cell. You are given an integer array startPos
where startPos = [startrow, startcol]
indicates that initially, a robot is at the cell (startrow, startcol)
. You are also given an integer array homePos
where homePos = [homerow, homecol]
indicates that its home is at the cell (homerow, homecol)
.
The robot needs to go to its home. It can move one cell in four directions: left, right, up, or down, and it can not move outside the boundary. Every move incurs some cost. You are further given two 0-indexed integer arrays: rowCosts
of length m
and colCosts
of length n
.
- If the robot moves up or down into a cell whose row is
r
, then this move costsrowCosts[r]
. - If the robot moves left or right into a cell whose column is
c
, then this move costscolCosts[c]
.
Return the minimum total cost for this robot to return home.
Example 1:
Input: startPos = [1, 0], homePos = [2, 3], rowCosts = [5, 4, 3], colCosts = [8, 2, 6, 7] Output: 18 Explanation: One optimal path is that: Starting from (1, 0) -> It goes down to (2, 0). This move costs rowCosts[2] = 3. -> It goes right to (2, 1). This move costs colCosts[1] = 2. -> It goes right to (2, 2). This move costs colCosts[2] = 6. -> It goes right to (2, 3). This move costs colCosts[3] = 7. The total cost is 3 + 2 + 6 + 7 = 18
Example 2:
Input: startPos = [0, 0], homePos = [0, 0], rowCosts = [5], colCosts = [26] Output: 0 Explanation: The robot is already at its home. Since no moves occur, the total cost is 0.
Constraints:
m == rowCosts.length
n == colCosts.length
1 <= m, n <= 105
0 <= rowCosts[r], colCosts[c] <= 104
startPos.length == 2
homePos.length == 2
0 <= startrow, homerow < m
0 <= startcol, homecol < n
Solutions
-
class Solution { public int minCost(int[] startPos, int[] homePos, int[] rowCosts, int[] colCosts) { int i = startPos[0], j = startPos[1]; int x = homePos[0], y = homePos[1]; int ans = 0; if (i < x) { for (int k = i + 1; k <= x; ++k) { ans += rowCosts[k]; } } else { for (int k = x; k < i; ++k) { ans += rowCosts[k]; } } if (j < y) { for (int k = j + 1; k <= y; ++k) { ans += colCosts[k]; } } else { for (int k = y; k < j; ++k) { ans += colCosts[k]; } } return ans; } }
-
class Solution { public: int minCost(vector<int>& startPos, vector<int>& homePos, vector<int>& rowCosts, vector<int>& colCosts) { int i = startPos[0], j = startPos[1]; int x = homePos[0], y = homePos[1]; int ans = 0; if (i < x) { ans += accumulate(rowCosts.begin() + i + 1, rowCosts.begin() + x + 1, 0); } else { ans += accumulate(rowCosts.begin() + x, rowCosts.begin() + i, 0); } if (j < y) { ans += accumulate(colCosts.begin() + j + 1, colCosts.begin() + y + 1, 0); } else { ans += accumulate(colCosts.begin() + y, colCosts.begin() + j, 0); } return ans; } };
-
class Solution: def minCost( self, startPos: List[int], homePos: List[int], rowCosts: List[int], colCosts: List[int], ) -> int: i, j = startPos x, y = homePos ans = 0 if i < x: ans += sum(rowCosts[i + 1 : x + 1]) else: ans += sum(rowCosts[x:i]) if j < y: ans += sum(colCosts[j + 1 : y + 1]) else: ans += sum(colCosts[y:j]) return ans
-
func minCost(startPos []int, homePos []int, rowCosts []int, colCosts []int) (ans int) { i, j := startPos[0], startPos[1] x, y := homePos[0], homePos[1] if i < x { ans += sum(rowCosts, i+1, x+1) } else { ans += sum(rowCosts, x, i) } if j < y { ans += sum(colCosts, j+1, y+1) } else { ans += sum(colCosts, y, j) } return } func sum(nums []int, i, j int) (s int) { for k := i; k < j; k++ { s += nums[k] } return }