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Given two COO matrices A and B, how can you add them efficiently?

hard📝 Application Q9 of 15
SciPy - Sparse Matrices (scipy.sparse)
Given two COO matrices A and B, how can you add them efficiently?
AAdd their data arrays element-wise directly
BConvert both to CSR format, add, then convert back if needed
CUse numpy.add on their toarray() outputs only
DAdd row and col arrays and sum data arrays
Step-by-Step Solution
Solution:
  1. Step 1: Understand COO addition limitations

    COO format is not efficient for arithmetic operations like addition.
  2. Step 2: Use CSR format for efficient addition

    Convert COO matrices to CSR, perform addition, then convert back if needed.
  3. Final Answer:

    Convert both to CSR format, add, then convert back if needed -> Option B
  4. Quick Check:

    Use CSR for efficient sparse matrix addition [OK]
Quick Trick: Convert COO to CSR before adding sparse matrices [OK]
Common Mistakes:
MISTAKES
  • Adding data arrays directly without matching indices
  • Adding dense arrays unnecessarily
  • Adding row and col arrays instead of matrices

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