Pages with the most categories

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Showing below up to 100 results in range #1 to #100.

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  1. Newton's method for systems of nonlinear equations, parallel2‏‎ (2 categories)
  2. One step of the dqds, LAPACK‏‎ (2 categories)
  3. All Pairs Shortest Path (APSP)‏‎ (2 categories)
  4. Pairwise summation of numbers, scalability‏‎ (2 categories)
  5. BFS, MPI, Graph500‏‎ (2 categories)
  6. Poisson equation, solving with DFT, PFFT‏‎ (2 categories)
  7. Backward substitution, scalability‏‎ (2 categories)
  8. Prim's, Java, JGraphT‏‎ (2 categories)
  9. Bellman-Ford, locality‏‎ (2 categories)
  10. QR decomposition of dense nonsingular matrices‏‎ (2 categories)
  11. Binary search, C++‏‎ (2 categories)
  12. Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix‏‎ (2 categories)
  13. Boruvka's, RCC for CPU‏‎ (2 categories)
  14. Single Source Shortest Path (SSSP)‏‎ (2 categories)
  15. Cholesky decomposition, locality‏‎ (2 categories)
  16. Tarjan's biconnected components, C++, Boost Graph Library‏‎ (2 categories)
  17. Complete cyclic reduction, scalability‏‎ (2 categories)
  18. Tarjan's strongly connected components, Python/C++, NetworKit‏‎ (2 categories)
  19. DFS, C++, Boost Graph Library‏‎ (2 categories)
  20. The serial-parallel summation method, locality‏‎ (2 categories)
  21. Dense matrix multiplication, scalability‏‎ (2 categories)
  22. Triangular decompositions‏‎ (2 categories)
  23. Dijkstra, Python‏‎ (2 categories)
  24. Uniform norm of a vector, locality‏‎ (2 categories)
  25. Dot product‏‎ (2 categories)
  26. VF2 algorithm‏‎ (2 categories)
  27. Finding minimal-cost flow in a transportation network‏‎ (2 categories)
  28. Ford–Fulkerson, Python, NetworkX‏‎ (2 categories)
  29. Gaussian elimination (finding the LU decomposition)‏‎ (2 categories)
  30. Givens method, locality‏‎ (2 categories)
  31. Hopcroft–Karp, Java, JGraphT‏‎ (2 categories)
  32. Householder (reflections) method for reducing of a matrix to Hessenberg form‏‎ (2 categories)
  33. Householder (reflections) reduction of a matrix to bidiagonal form, locality‏‎ (2 categories)
  34. K-means clustering, Apache Mahout‏‎ (2 categories)
  35. K-means clustering, Octave‏‎ (2 categories)
  36. K-means clustering, Stata‏‎ (2 categories)
  37. Kaczmarz's, MATLAB1‏‎ (2 categories)
  38. Kruskal's algorithm‏‎ (2 categories)
  39. Lanczos, C++, MPI, 3‏‎ (2 categories)
  40. Longest shortest path, Java, WebGraph‏‎ (2 categories)
  41. Methods for solving tridiagonal SLAEs‏‎ (2 categories)
  42. Newton's method for systems of nonlinear equations, parallel3‏‎ (2 categories)
  43. One step of the dqds algorithm‏‎ (2 categories)
  44. Assignment problem‏‎ (2 categories)
  45. Parallel prefix scan algorithm using pairwise summation‏‎ (2 categories)
  46. BFS, Python, NetworkX‏‎ (2 categories)
  47. Poisson equation, solving with DFT, cuFFT‏‎ (2 categories)
  48. Bellman-Ford, C++, Boost Graph Library‏‎ (2 categories)
  49. Prim's algorithm‏‎ (2 categories)
  50. Bellman-Ford, scalability‏‎ (2 categories)
  51. Reducing matrices to compact forms‏‎ (2 categories)
  52. Binary search, Java‏‎ (2 categories)
  53. Serial-parallel method for solving tridiagonal matrices based on the LU decomposition and backward substitutions‏‎ (2 categories)
  54. Boruvka's, RCC for GPU‏‎ (2 categories)
  55. Singular value decomposition (finding singular values and singular vectors)‏‎ (2 categories)
  56. Cholesky decomposition, scalability‏‎ (2 categories)
  57. Tarjan's biconnected components, Java, JGraphT‏‎ (2 categories)
  58. Construction of the minimum spanning tree (MST)‏‎ (2 categories)
  59. Tarjan's strongly connected components algorithm‏‎ (2 categories)
  60. DFS, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  61. The serial-parallel summation method, scalability‏‎ (2 categories)
  62. Dense matrix multiplication (serial version for real matrices)‏‎ (2 categories)
  63. Two-qubit transform of a state vector‏‎ (2 categories)
  64. Dijkstra, Python/C++‏‎ (2 categories)
  65. Uniform norm of a vector: Real version, serial-parallel variant‏‎ (2 categories)
  66. Dot product, locality‏‎ (2 categories)
  67. Vertex connectivity of a graph‏‎ (2 categories)
  68. Floyd-Warshall, C++, Boost Graph Library‏‎ (2 categories)
  69. Ford–Fulkerson algorithm‏‎ (2 categories)
  70. Gaussian elimination with column pivoting‏‎ (2 categories)
  71. Hopcroft–Karp algorithm‏‎ (2 categories)
  72. Householder (reflections) method for the QR decomposition, SCALAPACK‏‎ (2 categories)
  73. Hungarian, Java, JGraphT‏‎ (2 categories)
  74. K-means clustering, Ayasdi‏‎ (2 categories)
  75. K-means clustering, OpenCV‏‎ (2 categories)
  76. K-means clustering, Torch‏‎ (2 categories)
  77. Kaczmarz's, MATLAB2‏‎ (2 categories)
  78. LU decomposition using Gaussian elimination with pivoting‏‎ (2 categories)
  79. Lanczos, C, MPI‏‎ (2 categories)
  80. Longest shortest path, Python/C++, NetworKit‏‎ (2 categories)
  81. Newton's method for systems of nonlinear equations‏‎ (2 categories)
  82. Newton's method for systems of nonlinear equations, scalability1‏‎ (2 categories)
  83. Orthogonalization method‏‎ (2 categories)
  84. Auction algorithm‏‎ (2 categories)
  85. Poisson equation, solving with DFT‏‎ (2 categories)
  86. BFS, Python/C++, NetworKit‏‎ (2 categories)
  87. Poisson equation, solving with DFT, locality‏‎ (2 categories)
  88. Bellman-Ford, Java, JGraphT‏‎ (2 categories)
  89. Purdom's, Boost Graph Library‏‎ (2 categories)
  90. Bellman-Ford algorithm‏‎ (2 categories)
  91. Repeated Thomas, locality‏‎ (2 categories)
  92. Binary search, Python‏‎ (2 categories)
  93. Serial Jacobi (rotations) method for symmetric matrices‏‎ (2 categories)
  94. Boruvka's, locality‏‎ (2 categories)
  95. Stochastic dual dynamic programming (SDDP)‏‎ (2 categories)
  96. Cholesky method‏‎ (2 categories)
  97. Tarjan's biconnected components, Python, NetworkX‏‎ (2 categories)
  98. Cooley-Tukey, locality‏‎ (2 categories)
  99. Tarjan-Vishkin biconnected components, scalability‏‎ (2 categories)
  100. DFS, Python, NetworkX‏‎ (2 categories)

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