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

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

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