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Ниже показано до 100 результатов в диапазоне от 51 до 150.

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  1. DFS, C++, Boost Graph Library
  2. DFS, C++, MPI, Parallel Boost Graph Library
  3. DFS, Python, NetworkX
  4. Dense matrix-vector multiplication, locality
  5. Dense matrix-vector multiplication, scalability
  6. Dense matrix multiplication, locality
  7. Dense matrix multiplication, scalability
  8. DevbunovaViliana / Метод главных компонент (PСA)
  9. Dijkstra, C++, Boost Graph Library
  10. Dijkstra, C++, MPI: Parallel Boost Graph Library, 1
  11. Dijkstra, C++, MPI: Parallel Boost Graph Library, 2
  12. Dijkstra, Google
  13. Dijkstra, Python
  14. Dijkstra, Python/C++
  15. Dijkstra, VGL, pull
  16. Dijkstra, VGL, push
  17. Dijkstra, locality
  18. Disjoint set union, Boost Graph Library
  19. Disjoint set union, Java, JGraphT
  20. Dot product, locality
  21. Dot product, scalability
  22. EM Алгоритм для пуассон трехточечного распределения
  23. Face recognition, scalability
  24. Floyd-Warshall, C++, Boost Graph Library
  25. Floyd-Warshall, Java, JGraphT
  26. Floyd-Warshall, Python, NetworkX
  27. Floyd-Warshall, scalability
  28. Ford–Fulkerson, C++, Boost Graph Library
  29. Ford–Fulkerson, Java, JGraphT
  30. Ford–Fulkerson, Python, NetworkX
  31. GPU
  32. Givens method, locality
  33. HITS, VGL
  34. HPCG, locality
  35. HPCG, scalability
  36. Hopcroft–Karp, Java, JGraphT
  37. Horners, locality
  38. Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, SCALAPACK
  39. Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, locality
  40. Householder (reflections) method for the QR decomposition, SCALAPACK
  41. Householder (reflections) method for the QR decomposition, locality
  42. Householder (reflections) reduction of a matrix to bidiagonal form, SCALAPACK
  43. Householder (reflections) reduction of a matrix to bidiagonal form, locality
  44. Hungarian, Java, JGraphT
  45. Johnson's, C++, Boost Graph Library
  46. K-means clustering, Accord.NET
  47. K-means clustering, Apache Mahout
  48. K-means clustering, Ayasdi
  49. K-means clustering, CrimeStat
  50. K-means clustering, ELKI
  51. K-means clustering, Julia
  52. K-means clustering, MATLAB
  53. K-means clustering, MLPACK
  54. K-means clustering, Mathematica
  55. K-means clustering, Octave
  56. K-means clustering, OpenCV
  57. K-means clustering, R
  58. K-means clustering, RapidMiner
  59. K-means clustering, SAP HANA
  60. K-means clustering, SAS
  61. K-means clustering, SciPy
  62. K-means clustering, Spark
  63. K-means clustering, Stata
  64. K-means clustering, Torch
  65. K-means clustering, Weka
  66. K-means clustering, scalability1
  67. K-means clustering, scalability2
  68. K-means clustering, scalability3
  69. K-means clustering, scalability4
  70. K-means clustering, scikit-learn
  71. Kaczmarz's, MATLAB1
  72. Kaczmarz's, MATLAB2
  73. Kaczmarz's, MATLAB3
  74. Kruskal's, C++, Boost Graph Library
  75. Kruskal's, C++, MPI, Parallel Boost Graph Library
  76. Kruskal's, Java, JGraphT
  77. Kruskal's, Python, NetworkX
  78. LU decomposition via Gaussian elimination, locality
  79. LU decomposition via Gaussian elimination, scalability
  80. Lanczos, C++, MPI
  81. Lanczos, C++, MPI, 2
  82. Lanczos, C++, MPI, 3
  83. Lanczos, C, MPI
  84. Lanczos, MPI, OpenMP
  85. Linpack, HPL
  86. Linpack, locality
  87. Longest shortest path, Java, WebGraph
  88. Longest shortest path, Python/C++, NetworKit
  89. M.grigoriev
  90. Meet-in-the-middle attack, implementation1
  91. Meet-in-the-middle attack, implementation2
  92. Meet-in-the-middle attack, implementation3
  93. Meet-in-the-middle attack, scalability
  94. Newton's method for systems of nonlinear equations, ALIAS C++
  95. Newton's method for systems of nonlinear equations, Numerical Mathematics - NewtonLib
  96. Newton's method for systems of nonlinear equations, Numerical Recipes
  97. Newton's method for systems of nonlinear equations, PETSc
  98. Newton's method for systems of nonlinear equations, Sundials
  99. Newton's method for systems of nonlinear equations, parallel1
  100. Newton's method for systems of nonlinear equations, parallel2

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