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Showing below up to 100 results in range #51 to #150.

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  1. K-means clustering, Ayasdi‏‎ (2 categories)
  2. K-means clustering, OpenCV‏‎ (2 categories)
  3. K-means clustering, Torch‏‎ (2 categories)
  4. Kaczmarz's, MATLAB2‏‎ (2 categories)
  5. LU decomposition using Gaussian elimination with pivoting‏‎ (2 categories)
  6. Lanczos, C, MPI‏‎ (2 categories)
  7. Longest shortest path, Python/C++, NetworKit‏‎ (2 categories)
  8. Newton's method for systems of nonlinear equations‏‎ (2 categories)
  9. Newton's method for systems of nonlinear equations, parallel3‏‎ (2 categories)
  10. One step of the dqds algorithm‏‎ (2 categories)
  11. Assignment problem‏‎ (2 categories)
  12. Parallel prefix scan algorithm using pairwise summation‏‎ (2 categories)
  13. BFS, Python, NetworkX‏‎ (2 categories)
  14. Poisson equation, solving with DFT, cuFFT‏‎ (2 categories)
  15. Bellman-Ford, C++, Boost Graph Library‏‎ (2 categories)
  16. Prim's algorithm‏‎ (2 categories)
  17. Bellman-Ford, scalability‏‎ (2 categories)
  18. Reducing matrices to compact forms‏‎ (2 categories)
  19. Binary search, Java‏‎ (2 categories)
  20. Serial-parallel method for solving tridiagonal matrices based on the LU decomposition and backward substitutions‏‎ (2 categories)
  21. Boruvka's, RCC for GPU‏‎ (2 categories)
  22. Singular value decomposition (finding singular values and singular vectors)‏‎ (2 categories)
  23. Cholesky decomposition, scalability‏‎ (2 categories)
  24. Tarjan's biconnected components, Java, JGraphT‏‎ (2 categories)
  25. Construction of the minimum spanning tree (MST)‏‎ (2 categories)
  26. Tarjan's strongly connected components algorithm‏‎ (2 categories)
  27. DFS, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  28. The serial-parallel summation method, scalability‏‎ (2 categories)
  29. Dense matrix multiplication (serial version for real matrices)‏‎ (2 categories)
  30. Two-qubit transform of a state vector‏‎ (2 categories)
  31. Dijkstra, Python/C++‏‎ (2 categories)
  32. Unitary-triangular factorizations‏‎ (2 categories)
  33. Dot product, scalability‏‎ (2 categories)
  34. Δ-stepping, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  35. Floyd-Warshall, Java, JGraphT‏‎ (2 categories)
  36. Forward substitution‏‎ (2 categories)
  37. Gaussian elimination with complete pivoting‏‎ (2 categories)
  38. Graph connectivity‏‎ (2 categories)
  39. Horners, locality‏‎ (2 categories)
  40. Householder (reflections) method for the QR decomposition, locality‏‎ (2 categories)
  41. Hungarian algorithm‏‎ (2 categories)
  42. K-means clustering, CrimeStat‏‎ (2 categories)
  43. K-means clustering, R‏‎ (2 categories)
  44. K-means clustering, Weka‏‎ (2 categories)
  45. Kaczmarz's, MATLAB3‏‎ (2 categories)
  46. LU decomposition using Gaussian elimination without pivoting‏‎ (2 categories)
  47. Lanczos, MPI, OpenMP‏‎ (2 categories)
  48. Matrix decomposition problem‏‎ (2 categories)
  49. Newton's method for systems of nonlinear equations, ALIAS C++‏‎ (2 categories)
  50. Newton's method for systems of nonlinear equations, scalability1‏‎ (2 categories)
  51. Orthogonalization method‏‎ (2 categories)
  52. Auction algorithm‏‎ (2 categories)
  53. Poisson equation, solving with DFT‏‎ (2 categories)
  54. BFS, Python/C++, NetworKit‏‎ (2 categories)
  55. Poisson equation, solving with DFT, locality‏‎ (2 categories)
  56. Bellman-Ford, Java, JGraphT‏‎ (2 categories)
  57. Purdom's, Boost Graph Library‏‎ (2 categories)
  58. Bellman-Ford algorithm‏‎ (2 categories)
  59. Repeated Thomas, locality‏‎ (2 categories)
  60. Binary search, Python‏‎ (2 categories)
  61. Serial Jacobi (rotations) method for symmetric matrices‏‎ (2 categories)
  62. Boruvka's, locality‏‎ (2 categories)
  63. Stochastic dual dynamic programming (SDDP)‏‎ (2 categories)
  64. Cholesky method‏‎ (2 categories)
  65. Tarjan's biconnected components, Python, NetworkX‏‎ (2 categories)
  66. Cooley-Tukey, locality‏‎ (2 categories)
  67. Tarjan-Vishkin biconnected components, scalability‏‎ (2 categories)
  68. DFS, Python, NetworkX‏‎ (2 categories)
  69. Thomas, locality‏‎ (2 categories)
  70. Depth-first search (DFS)‏‎ (2 categories)
  71. Two-sided Thomas, locality‏‎ (2 categories)
  72. Dijkstra, VGL, pull‏‎ (2 categories)
  73. Unitary reductions to Hessenberg form‏‎ (2 categories)
  74. Eigenvalue decomposition (finding eigenvalues and eigenvectors)‏‎ (2 categories)
  75. Δ-stepping, Gap‏‎ (2 categories)
  76. Floyd-Warshall, Python, NetworkX‏‎ (2 categories)
  77. GHS algorithm‏‎ (2 categories)
  78. Gaussian elimination with diagonal pivoting‏‎ (2 categories)
  79. HITS, VGL‏‎ (2 categories)
  80. Horners method‏‎ (2 categories)
  81. Jacobi (rotations) method for finding singular values‏‎ (2 categories)
  82. K-means clustering, ELKI‏‎ (2 categories)
  83. K-means clustering, RapidMiner‏‎ (2 categories)
  84. K-means clustering, scalability1‏‎ (2 categories)
  85. Kaczmarz's algorithm‏‎ (2 categories)
  86. LU decomposition via Gaussian elimination‏‎ (2 categories)
  87. Lanczos algorithm in exact algorithm (without reorthogonalization)‏‎ (2 categories)
  88. Meet-in-the-middle attack‏‎ (2 categories)
  89. Newton's method for systems of nonlinear equations, Numerical Mathematics - NewtonLib‏‎ (2 categories)
  90. Newton's method for systems of nonlinear equations, scalability2‏‎ (2 categories)
  91. Orthogonalization method with reorthogonalization‏‎ (2 categories)
  92. BFS, C++, Boost Graph Library‏‎ (2 categories)
  93. Poisson equation, solving with DFT, AccFFT‏‎ (2 categories)
  94. BFS, RCC for CPU‏‎ (2 categories)
  95. Poisson equation, solving with DFT, scalability‏‎ (2 categories)
  96. Bellman-Ford, Ligra‏‎ (2 categories)
  97. Purdom's algorithm‏‎ (2 categories)
  98. BiCGStab, HYPRE‏‎ (2 categories)
  99. Repeated Thomas algorithm, pointwise version‏‎ (2 categories)
  100. Binary search, locality‏‎ (2 categories)

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