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Grokking the Coding Interview Patterns in Go

Solution: Dot Product of Two Sparse Vectors

Explore an efficient solution to calculate the dot product of two sparse vectors by storing only nonzero elements in hash maps. Understand how this approach reduces computation time and memory use by iterating through relevant vector entries, helping you handle sparse data structures effectively in coding interviews.

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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 ...