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Posts tagged as “matrix”

花花酱 LeetCode 867. Transpose Matrix

Given a matrix A, return the transpose of A.

The transpose of a matrix is the matrix flipped over it’s main diagonal, switching the row and column indices of the matrix.

Example 1:

Input: [[1,2,3],[4,5,6],[7,8,9]]
Output: [[1,4,7],[2,5,8],[3,6,9]]

Example 2:

Input: [[1,2,3],[4,5,6]]
Output: [[1,4],[2,5],[3,6]]

 

Note:

  1. 1 <= A.length <= 1000
  2. 1 <= A[0].length <= 1000

Solution: Brute Force

Time complexity: O(mn)

Space complexity: O(mn)

C++

 

花花酱 LeetCode 598. Range Addition II

Problem

https://leetcode.com/problems/range-addition-ii/description/

Given an m * n matrix M initialized with all 0‘s and several update operations.

Operations are represented by a 2D array, and each operation is represented by an array with two positiveintegers a and b, which means M[i][j] should be added by one for all 0 <= i < a and 0 <= j < b.

You need to count and return the number of maximum integers in the matrix after performing all the operations.

Example 1:

Input: 
m = 3, n = 3
operations = [[2,2],[3,3]]
Output: 4
Explanation: 
Initially, M = 
[[0, 0, 0],
 [0, 0, 0],
 [0, 0, 0]]

After performing [2,2], M = 
[[1, 1, 0],
 [1, 1, 0],
 [0, 0, 0]]

After performing [3,3], M = 
[[2, 2, 1],
 [2, 2, 1],
 [1, 1, 1]]

So the maximum integer in M is 2, and there are four of it in M. So return 4.

Note:

  1. The range of m and n is [1,40000].
  2. The range of a is [1,m], and the range of b is [1,n].
  3. The range of operations size won’t exceed 10,000.

Solution:

Time Complexity: O(n)

Space Complexity: O(1)

C++

 

花花酱 LeetCode 766. Toeplitz Matrix

A matrix is Toeplitz if every diagonal from top-left to bottom-right has the same element.

Now given an M x N matrix, return True if and only if the matrix is Toeplitz.
Example 1:

Example 2:

Note:

  1. matrix will be a 2D array of integers.
  2. matrix will have a number of rows and columns in range [1, 20].
  3. matrix[i][j] will be integers in range [0, 99].

Idea:

Check m[i][j] with m[i-1][j-1]

Solution: Brute Force

Time complexity: O(n*m)

Space complexity: O(1)

C++

Java

Python3

 

 

花花酱 LeetCode 221. Maximal Square

Problem:

Given a 2D binary matrix filled with 0’s and 1’s, find the largest square containing only 1’s and return its area.

For example, given the following matrix:

1 0 1 0 0
1 0 1 1 1
1 1 1 1 1
1 0 0 1 0

Return 4.

 

Idea:

Dynamic programming



Solution 0: O(n^5)

 

Solution 1: O(n^3)

Solution 2: O(n^2)

 

Solution 1:

 

Solution 2: