Search⌘ K
AI Features

Sparse Matrix Multiplication

Understand how to multiply two sparse matrices by representing non-zero elements in hashmaps to optimize computation. Learn to implement this method and analyze its time and space complexity to solve interview-style matrix problems efficiently.

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:

Coding

...