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Showing below up to 100 results in range #101 to #200.

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  1. (hist) ‎Tarjan's strongly connected components, Python/C++, NetworKit ‎[897 bytes]
  2. (hist) ‎Tarjan's strongly connected components, Python, NetworkX ‎[893 bytes]
  3. (hist) ‎Dijkstra, Python ‎[891 bytes]
  4. (hist) ‎Poisson equation, solving with DFT, P3DFFT ‎[890 bytes]
  5. (hist) ‎Preflow-Push, Python, NetworkX ‎[886 bytes]
  6. (hist) ‎Poisson equation, solving with DFT, FFTW ‎[882 bytes]
  7. (hist) ‎Ford–Fulkerson, Python, NetworkX ‎[871 bytes]
  8. (hist) ‎Tarjan's biconnected components, Python, NetworkX ‎[865 bytes]
  9. (hist) ‎DFS, C++, MPI, Parallel Boost Graph Library ‎[845 bytes]
  10. (hist) ‎Longest shortest path, Python/C++, NetworKit ‎[842 bytes]
  11. (hist) ‎Hungarian, Java, JGraphT ‎[837 bytes]
  12. (hist) ‎Kruskal's, C++, Boost Graph Library ‎[832 bytes]
  13. (hist) ‎Prim's, C++, Boost Graph Library ‎[831 bytes]
  14. (hist) ‎Floyd-Warshall, Python, NetworkX ‎[830 bytes]
  15. (hist) ‎Bellman-Ford, Python, NetworkX ‎[827 bytes]
  16. (hist) ‎Preflow-Push, C++, Boost Graph Library ‎[823 bytes]
  17. (hist) ‎Kruskal's, Python, NetworkX ‎[821 bytes]
  18. (hist) ‎Tarjan's strongly connected components, Java, WebGraph ‎[820 bytes]
  19. (hist) ‎BFS, C++, Boost Graph Library ‎[820 bytes]
  20. (hist) ‎Ford–Fulkerson, Java, JGraphT ‎[819 bytes]
  21. (hist) ‎DFS, Python, NetworkX ‎[817 bytes]
  22. (hist) ‎Tarjan's biconnected components, C++, Boost Graph Library ‎[812 bytes]
  23. (hist) ‎Tarjan's strongly connected components, C++, Boost Graph Library ‎[809 bytes]
  24. (hist) ‎Johnson's, C++, Boost Graph Library ‎[804 bytes]
  25. (hist) ‎Dijkstra, Python/C++ ‎[803 bytes]
  26. (hist) ‎Floyd-Warshall, C++, Boost Graph Library ‎[797 bytes]
  27. (hist) ‎Disjoint set union, Boost Graph Library ‎[794 bytes]
  28. (hist) ‎Tarjan's strongly connected components, Java, JGraphT ‎[792 bytes]
  29. (hist) ‎Bellman-Ford, C++, Boost Graph Library ‎[791 bytes]
  30. (hist) ‎Dijkstra, VGL, pull ‎[779 bytes]
  31. (hist) ‎Dijkstra, VGL, push ‎[779 bytes]
  32. (hist) ‎Tarjan's biconnected components, Java, JGraphT ‎[777 bytes]
  33. (hist) ‎Hopcroft–Karp, Java, JGraphT ‎[773 bytes]
  34. (hist) ‎VF2, C++, Boost Graph Library ‎[773 bytes]
  35. (hist) ‎BFS, Python, NetworkX ‎[773 bytes]
  36. (hist) ‎BFS, Java, WebGraph ‎[772 bytes]
  37. (hist) ‎Ullman's, C++, Chemical Descriptors Library ‎[767 bytes]
  38. (hist) ‎Floyd-Warshall, Java, JGraphT ‎[765 bytes]
  39. (hist) ‎Kruskal's, Java, JGraphT ‎[761 bytes]
  40. (hist) ‎BFS, C++, MPI, Boost Graph Library ‎[761 bytes]
  41. (hist) ‎Bellman-Ford, Java, JGraphT ‎[758 bytes]
  42. (hist) ‎BFS, Python/C++, NetworKit ‎[757 bytes]
  43. (hist) ‎VF2, Python, NetworkX ‎[754 bytes]
  44. (hist) ‎Prim's, Java, JGraphT ‎[752 bytes]
  45. (hist) ‎BFS, VGL ‎[743 bytes]
  46. (hist) ‎Disjoint set union, Java, JGraphT ‎[741 bytes]
  47. (hist) ‎PageRank, VGL ‎[731 bytes]
  48. (hist) ‎HITS, VGL ‎[726 bytes]
  49. (hist) ‎Ullman's, C++, VF Library ‎[723 bytes]
  50. (hist) ‎Bellman-Ford, Nvidia nvGraph ‎[719 bytes]
  51. (hist) ‎Bellman-Ford, OpenMP, Stinger ‎[712 bytes]
  52. (hist) ‎Bellman-Ford, MPI, Graph500 ‎[705 bytes]
  53. (hist) ‎Bellman-Ford, Ligra ‎[703 bytes]
  54. (hist) ‎Cooley-Tukey, scalability ‎[701 bytes]
  55. (hist) ‎Δ-stepping, Gap ‎[698 bytes]
  56. (hist) ‎QR decomposition methods for dense Hessenberg matrices ‎[687 bytes]
  57. (hist) ‎Boruvka's, RCC for CPU ‎[677 bytes]
  58. (hist) ‎K-means clustering, SAP HANA ‎[674 bytes]
  59. (hist) ‎VF2, C++, VF Library ‎[669 bytes]
  60. (hist) ‎BFS, Ligra ‎[642 bytes]
  61. (hist) ‎BFS, RCC for GPU ‎[637 bytes]
  62. (hist) ‎K-means clustering, Ayasdi ‎[635 bytes]
  63. (hist) ‎Boruvka's, RCC for GPU ‎[625 bytes]
  64. (hist) ‎LU decomposition using Gaussian elimination without pivoting ‎[625 bytes]
  65. (hist) ‎BFS, MPI, Graph500 ‎[624 bytes]
  66. (hist) ‎K-means clustering, RapidMiner ‎[621 bytes]
  67. (hist) ‎K-means clustering, MATLAB ‎[616 bytes]
  68. (hist) ‎BFS, RCC for CPU ‎[615 bytes]
  69. (hist) ‎BFS, GAP ‎[608 bytes]
  70. (hist) ‎K-means clustering, Mathematica ‎[605 bytes]
  71. (hist) ‎K-means clustering, SAS ‎[590 bytes]
  72. (hist) ‎K-means clustering, Stata ‎[579 bytes]
  73. (hist) ‎Unitary-triangular factorizations ‎[527 bytes]
  74. (hist) ‎Help ‎[379 bytes]
  75. (hist) ‎Householder (reflections) method for reducing a complex Hermitian matrix to symmetric tridiagonal form ‎[275 bytes]
  76. (hist) ‎Classical point-wise Householder (reflections) method for reducing a matrix to Hessenberg form ‎[275 bytes]
  77. (hist) ‎Serial-parallel method for solving tridiagonal matrices based on the LU decomposition and backward substitutions ‎[269 bytes]
  78. (hist) ‎Householder (reflections) method for the QR decomposition of a square matrix, real point-wise version ‎[236 bytes]
  79. (hist) ‎Numerical quadrature (cubature) rules on an interval (for a multidimensional cube) ‎[230 bytes]
  80. (hist) ‎Uniform norm of a vector: Real version, serial-parallel variant ‎[223 bytes]
  81. (hist) ‎The classical Jacobi (rotations) method with pivoting for symmetric matrices ‎[221 bytes]
  82. (hist) ‎Serial Jacobi (rotations) method with thresholds for symmetric matrices ‎[220 bytes]
  83. (hist) ‎Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix ‎[215 bytes]
  84. (hist) ‎Jacobi (rotations) method for finding singular values ‎[208 bytes]
  85. (hist) ‎Compact scheme for Gaussian elimination and its modifications: Tridiagonal matrix ‎[207 bytes]
  86. (hist) ‎Unitary reductions to tridiagonal form ‎[206 bytes]
  87. (hist) ‎Gaussian elimination with diagonal pivoting ‎[206 bytes]
  88. (hist) ‎The Jacobi (rotations) method for solving the symmetric eigenvalue problem ‎[205 bytes]
  89. (hist) ‎Householder (reflections) reduction of a matrix to bidiagonal form ‎[201 bytes]
  90. (hist) ‎Unitary reductions to Hessenberg form ‎[200 bytes]
  91. (hist) ‎Serial Jacobi (rotations) method for symmetric matrices ‎[198 bytes]
  92. (hist) ‎Householder (reflections) method for the QR decomposition of a (real) Hessenberg matrix ‎[197 bytes]
  93. (hist) ‎Gaussian elimination with complete pivoting ‎[196 bytes]
  94. (hist) ‎Eigenvalue decomposition (finding eigenvalues and eigenvectors) ‎[192 bytes]
  95. (hist) ‎Singular value decomposition (finding singular values and singular vectors) ‎[190 bytes]
  96. (hist) ‎Givens (rotations) method for the QR decomposition of a (real) Hessenberg matrix ‎[188 bytes]
  97. (hist) ‎Gaussian elimination with column pivoting ‎[187 bytes]
  98. (hist) ‎Gaussian elimination with row pivoting ‎[185 bytes]
  99. (hist) ‎Lanczos algorithm in exact algorithm (without reorthogonalization) ‎[184 bytes]
  100. (hist) ‎QR algorithm for complex Hermitian matrices as implemented in SCALAPACK ‎[184 bytes]

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