Jeffrey Yancey 7e55fb6474

- Implemented find_lanczos_eigenvectors to approximate the largest eigenvalues and corresponding eigenvectors of a graph based on its adjacency list. (#11906) ...

- 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.

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..

tests

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__init__.py

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a_star.py

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ant_colony_optimization_algorithms.py

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articulation_points.py

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basic_graphs.py

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bellman_ford.py

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bi_directional_dijkstra.py

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bidirectional_a_star.py

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bidirectional_breadth_first_search.py

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boruvka.py

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breadth_first_search_2.py

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breadth_first_search_shortest_path_2.py

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breadth_first_search_shortest_path.py

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breadth_first_search_zero_one_shortest_path.py

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breadth_first_search.py

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check_bipatrite.py

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check_cycle.py

Make some ruff fixes (#8154)

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connected_components.py

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deep_clone_graph.py

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depth_first_search_2.py

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depth_first_search.py

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dijkstra_2.py

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dijkstra_algorithm.py

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dijkstra_alternate.py

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dijkstra_binary_grid.py

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dijkstra.py

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dinic.py

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directed_and_undirected_weighted_graph.py

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edmonds_karp_multiple_source_and_sink.py

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eulerian_path_and_circuit_for_undirected_graph.py

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even_tree.py

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finding_bridges.py

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frequent_pattern_graph_miner.py

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g_topological_sort.py

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gale_shapley_bigraph.py

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graph_adjacency_list.py

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graph_adjacency_matrix.py

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graph_list.py

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graphs_floyd_warshall.py

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greedy_best_first.py

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greedy_min_vertex_cover.py

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kahns_algorithm_long.py

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kahns_algorithm_topo.py

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karger.py

pre-commit: Upgrade psf/black for stable style 2023 (#8110)

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lanczos_eigenvectors.py

- Implemented find_lanczos_eigenvectors to approximate the largest eigenvalues and corresponding eigenvectors of a graph based on its adjacency list. (#11906)

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markov_chain.py

[mypy] Fix type annotations for graphs (#4622)

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matching_min_vertex_cover.py

Matching min vertex cover (#5326)

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minimum_path_sum.py

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minimum_spanning_tree_boruvka.py

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minimum_spanning_tree_kruskal2.py

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minimum_spanning_tree_kruskal.py

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minimum_spanning_tree_prims2.py

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minimum_spanning_tree_prims.py

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multi_heuristic_astar.py

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page_rank.py

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prim.py

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random_graph_generator.py

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scc_kosaraju.py

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strongly_connected_components.py

chore: fix typos (#11467)

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tarjans_scc.py

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