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Solution: Dot Product of Two Sparse Vectors

Explore how to implement a SparseVector class that calculates the dot product of two sparse vectors by storing only nonzero elements in hash maps. Understand the step-by-step approach to optimize both time and space complexity, enabling efficient processing of vectors with mostly zero values.

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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 ...