{ "data": { "question": { "questionId": "3691", "questionFrontendId": "3402", "categoryTitle": "Algorithms", "boundTopicId": 3030167, "title": "Minimum Operations to Make Columns Strictly Increasing", "titleSlug": "minimum-operations-to-make-columns-strictly-increasing", "content": "
You are given a m x n
matrix grid
consisting of non-negative integers.
In one operation, you can increment the value of any grid[i][j]
by 1.
Return the minimum number of operations needed to make all columns of grid
strictly increasing.
\n
Example 1:
\n\nInput: grid = [[3,2],[1,3],[3,4],[0,1]]
\n\nOutput: 15
\n\nExplanation:
\n\n0th
column strictly increasing, we can apply 3 operations on grid[1][0]
, 2 operations on grid[2][0]
, and 6 operations on grid[3][0]
.1st
column strictly increasing, we can apply 4 operations on grid[3][1]
.Example 2:
\n\nInput: grid = [[3,2,1],[2,1,0],[1,2,3]]
\n\nOutput: 12
\n\nExplanation:
\n\n0th
column strictly increasing, we can apply 2 operations on grid[1][0]
, and 4 operations on grid[2][0]
.1st
column strictly increasing, we can apply 2 operations on grid[1][1]
, and 2 operations on grid[2][1]
.2nd
column strictly increasing, we can apply 2 operations on grid[1][2]
.\n
Constraints:
\n\nm == grid.length
n == grid[i].length
1 <= m, n <= 50
0 <= grid[i][j] < 2500
\n
\n\n\n
给你一个由 非负 整数组成的 m x n
矩阵 grid
。
在一次操作中,你可以将任意元素 grid[i][j]
的值增加 1。
返回使 grid
的所有列 严格递增 所需的 最少 操作次数。
\n\n
示例 1:
\n\n输入: grid = [[3,2],[1,3],[3,4],[0,1]]
\n\n输出: 15
\n\n解释:
\n\n0
列严格递增,可以对 grid[1][0]
执行 3 次操作,对 grid[2][0]
执行 2 次操作,对 grid[3][0]
执行 6 次操作。1
列严格递增,可以对 grid[3][1]
执行 4 次操作。示例 2:
\n\n输入: grid = [[3,2,1],[2,1,0],[1,2,3]]
\n\n输出: 12
\n\n解释:
\n\n0
列严格递增,可以对 grid[1][0]
执行 2 次操作,对 grid[2][0]
执行 4 次操作。1
列严格递增,可以对 grid[1][1]
执行 2 次操作,对 grid[2][1]
执行 2 次操作。2
列严格递增,可以对 grid[1][2]
执行 2 次操作。\n\n
提示:
\n\nm == grid.length
n == grid[i].length
1 <= m, n <= 50
0 <= grid[i][j] < 2500
grid[i + 1][j]
must be at least equal to grid[i][j] + 1.",
"Iterate on i
in increasing order, and set grid[i + 1][j] = max(grid[i][j]+1, grid[i + 1][j])."
],
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"status": null,
"sampleTestCase": "[[3,2],[1,3],[3,4],[0,1]]",
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