Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns

Solution: Dot Product of Two Sparse Vectors

Understand how to calculate the dot product between two sparse vectors by focusing on nonzero elements using hash maps. This lesson guides you through designing a SparseVector class to store nonzero values and compute the product efficiently, improving both speed and memory use.

We'll cover the following...

Statement

We must calculate the dot product of two given sparse vectors, nums1 and nums2.

Create a SparseVector class:

  • Constructor(): Initializes the object with the vector.

  • DotProduct(): Computes the dot product between the current instance of the vector and the other.

Note: A sparse vector is a vector that contains mostly zero values. Therefore, we should store the sparse vectors and calculate the dot product accordingly.

Constraints:

  • n==n == nums1.length ==== nums2.length

  • ...