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.
We'll cover the following...
We'll cover the following...
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: