Solution: Dot Product of Two Sparse Vectors
Understand how to implement a SparseVector class that efficiently computes the dot product of two sparse vectors by storing only nonzero elements. Explore the use of hash maps to optimize both time and space complexity by iterating through shared nonzero indices. This lesson helps you apply data structure concepts to solve problems involving sparse vectors effectively.
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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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