Solution: Dot Product of Two Sparse Vectors
Understand how to implement a SparseVector class that calculates the dot product efficiently by storing only nonzero elements. Learn to create hash maps for each vector, iterate through nonzero entries, and compute the sum of their products. This lesson helps you optimize memory usage and improve performance when working with sparse vectors.
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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:
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