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Solution: Dot Product of Two Sparse Vectors

Explore how to calculate the dot product of two sparse vectors by focusing on their nonzero elements stored in hash maps. Understand the approach that reduces time and space complexity by multiplying values only at matching indices. This lesson helps you implement and optimize SparseVector with constructor and dot product methods.

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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

  • ...