Solution: Dot Product of Two Sparse Vectors
Explore how to implement the dot product calculation for two sparse vectors by focusing on their nonzero elements using hash maps. Understand the process of storing key-value pairs for vector indices and values, iterating through these pairs to compute the dot product efficiently, and analyze both time and space complexity to optimize your solution.
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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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