Sparse Matrix Multiplication
Real-world version: Multiplying Two Mostly Empty TablesThe statement here is our own: the same inputs, outputs and technique.
Two tables of numbers are given, left and right, where the number of columns in left equals the number of rows in right. Most entries of both are 0.
Their product is the table whose entry in row i and column j comes from running along row i of left and down column j of right at the same time, multiplying each pair of entries that meet and adding those products up.
Return the product.
Examples
Example 1
- Input
- left = [[2, 0], [0, 3]], right = [[0, 5], [7, 0]]
- Output
- [[0, 10], [21, 0]]
The first row of the answer comes from 2 meeting the first column's 0 and 7, giving nothing, and 2 meeting the second column's 5 and 0, giving ten. The second row comes the same way from the 3.
Example 2
- Input
- left = [[1, 2, 3]], right = [[4], [5], [6]]
- Output
- [[32]]
A single row against a single column leaves a one-entry answer: the three pairs that meet give four, ten and eighteen, adding to thirty-two.
Example 3
- Input
- left = [[0, 0], [0, 0]], right = [[0, 0], [0, 0]]
- Output
- [[0, 0], [0, 0]]
Every entry of both tables is nothing, so every pair that meets contributes nothing.
Constraints
- 1 <= left.length <= 100
- 1 <= left[i].length <= 100
- 1 <= right[i].length <= 100
- The number of columns in left equals the number of rows in right.
- -100 <= left[i][j] <= 100
- -100 <= right[i][j] <= 100
The signature
The editor starts with this. It matches the parent problem's shape, so a solution that works here works on a standard judge unchanged.
def multiply(left: list[list[int]], right: list[list[int]]) -> list[list[int]]:public int[][] multiply(int[][] left, int[][] right)Checking your plan…
How this problem was checked
- Passed: Reference solution run against 15 test cases: 15 passed
- Passed: 3 worked examples confirmed by running the code
- Passed: 0 eight-word sequences shared with the parent problem's text
- Passed: Agrees with an independent brute-force solution on random inputs
- Passed: Test set shown to catch deliberately broken solutions
- Passed: Reviewed by a separate quality pass
- Passed: Function arity matches the parent problem's