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Problem: Dot Product of Two Sparse Vectors

Medium
30 min
Explore how to implement a SparseVector class that stores vectors with mostly zero values and efficiently calculates their dot product. Understand the challenges of sparse vector computation and practice coding a solution using hash maps.

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:

  • n=n = nums1.length == nums2.length

  • 1n1031 \leq n \leq 10^3

  • 00 \leq nums1[i], nums2[i] 100\leq 100

Problem
Ask
Submissions

Problem: Dot Product of Two Sparse Vectors

Medium
30 min
Explore how to implement a SparseVector class that stores vectors with mostly zero values and efficiently calculates their dot product. Understand the challenges of sparse vector computation and practice coding a solution using hash maps.

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:

  • n=n = nums1.length == nums2.length

  • 1n1031 \leq n \leq 10^3

  • 00 \leq nums1[i], nums2[i] 100\leq 100