SciPy - Sparse Matrices (scipy.sparse)
Which scipy sparse matrix format is best for fast arithmetic and matrix-vector operations?
Which scipy sparse matrix format is best for fast arithmetic and matrix-vector operations?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Recall sparse matrix formats
CSR format is optimized for fast arithmetic and matrix-vector products.Step 2: Evaluate other formats
COO is good for constructing matrices, DOK and LIL are for incremental changes but slower in arithmetic.Final Answer:
CSR (Compressed Sparse Row) -> Option BQuick Check:
Fast arithmetic format = CSR [OK]
Quick Trick: Use CSR for fast math and matrix-vector multiplication [OK]
Common Mistakes:
MISTAKES- Confusing COO with CSR for arithmetic speed
- Choosing DOK or LIL for fast computations
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