Solution: Dot Product of Two Sparse Vectors
Explore how to implement a SparseVector class that calculates the dot product of two sparse vectors efficiently. Understand the use of hash maps to store only nonzero elements and their positions, reducing memory usage and improving computation speed. This lesson guides you through creating the solution and analyzing its time and space complexity.
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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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