18. The K Weakest Rows in a Matrix
Last updated
Was this helpful?
Last updated
Was this helpful?
The problem can be found at the following link:
Create an empty vector of pairs rowStrengths
. Each pair will store the row's strength (the sum of elements in the row) and the row index.
Iterate through each row of the matrix mat
: a. Calculate the strength of the current row by summing all its elements using accumulate
. b. Push a pair containing the row's strength and its index into the rowStrengths
vector.
Sort the rowStrengths
vector in ascending order based on the first element of each pair (i.e., row strength).
Create an empty vector result
to store the indices of the k
weakest rows.
Iterate from i = 0
to i < k
: a. Push the index of the i
-th row from the sorted rowStrengths
vector into the result
vector.
Return the result
vector, which contains the indices of the k
weakest rows.
Here's the pointwise algorithm in a step-by-step format:
Initialize an empty vector rowStrengths
.
Iterate through each row of the matrix mat
:
Calculate the strength of the current row by summing all its elements.
Create a pair containing the row's strength and its index.
Push the pair into the rowStrengths
vector.
Sort the rowStrengths
vector in ascending order based on the first element of each pair (i.e., row strength).
Initialize an empty vector result
to store the indices of the k
weakest rows.
Iterate from i = 0
to i < k
:
Push the index of the i
-th row from the sorted rowStrengths
vector into the result
vector.
Return the result
vector, which contains the indices of the k
weakest rows.
Time Complexity: O(nlogn)
Auxiliary Space Complexity: O(1)
For discussions, questions, or doubts related to this solution, please visit our . We welcome your input and aim to foster a collaborative learning environment.
If you find this solution helpful, consider supporting us by giving a ⭐ star
to the repository.