Search⌘ K
AI Features

Sparse Matrix Multiplication

Explore how to multiply two sparse matrices by leveraging HashMaps to store non-zero elements and calculate the result efficiently. Understand the conversion process, nested iteration for multiplication, and analyze the time and space complexity of the solution.

Description

We have two sparse matrices, A and B.

“A sparse matrix is one in which most of the elements are zero.”

You need to multiply the two matrices and return the output matrix. You can assume that A’s column number is equal to B’s row number.

Constraints

The following are some constraints:

  • 1 <= A.length, B.length <= 100
  • 1 <= A[i].length, B[i].length <= 100
  • -100 <= A[i][j], B[i][j] <= 100

Let’s review this scenario using the example below:

Do it

...