Solution: Dot Product of Two Sparse Vectors
Explore how to calculate the dot product of two sparse vectors by implementing a SparseVector class that uses hash maps to store nonzero elements. This lesson helps you understand how to optimize space and time complexity by focusing calculations only on nonzero entries, enabling efficient vector multiplication in coding interviews and practical applications.
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:
...