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7e55fb6474
- Utilized `lanczos_iteration` to construct tridiagonal matrices, optimized for large, sparse matrices. - Added `multiply_matrix_vector` for efficient matrix-vector multiplication using adjacency lists. - Included `validate_adjacency_list` for input validation. - Supports varied graph analysis applications, particularly for analyzing graph centrality. - Included type hints, comprehensive docstrings, and doctests. - PEP-8 compliant, with optimized handling of inputs and outputs. This module provides essential tools for eigenvalue-based graph analysis, ideal for centrality insights and structural assessments.
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
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