Solution: Dot Product of Two Sparse Vectors
Explore how to implement the dot product of two sparse vectors efficiently by using hash maps to store nonzero elements. Understand the optimized approach to calculate the product only where both vectors have values, improving speed and reducing memory. This lesson guides you through building a SparseVector class and applying hash maps for effective data handling 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:
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