Dot Product of Two Sparse Vectors
Explore how to implement a SparseVector class to calculate the dot product of two sparse vectors efficiently. Understand the use of hash maps for storing non-zero elements and write optimized code to handle vectors with mostly zero values. Practice problem-solving with a focus on space and time constraints.
We'll cover the following...
We'll cover the following...
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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