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

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  1. Ford–Fulkerson, Python, NetworkX‏‎ (2 categories)
  2. Gaussian elimination (finding the LU decomposition)‏‎ (2 categories)
  3. Givens method, locality‏‎ (2 categories)
  4. Hopcroft–Karp, Java, JGraphT‏‎ (2 categories)
  5. Householder (reflections) method for reducing of a matrix to Hessenberg form‏‎ (2 categories)
  6. Householder (reflections) reduction of a matrix to bidiagonal form, locality‏‎ (2 categories)
  7. K-means clustering, Apache Mahout‏‎ (2 categories)
  8. K-means clustering, Octave‏‎ (2 categories)
  9. K-means clustering, Stata‏‎ (2 categories)
  10. Kaczmarz's, MATLAB1‏‎ (2 categories)
  11. Kruskal's algorithm‏‎ (2 categories)
  12. Lanczos, C++, MPI, 3‏‎ (2 categories)
  13. Longest shortest path, Java, WebGraph‏‎ (2 categories)
  14. Methods for solving tridiagonal SLAEs‏‎ (2 categories)
  15. Newton's method for systems of nonlinear equations, parallel2‏‎ (2 categories)
  16. One step of the dqds, LAPACK‏‎ (2 categories)
  17. All Pairs Shortest Path (APSP)‏‎ (2 categories)
  18. Pairwise summation of numbers, scalability‏‎ (2 categories)
  19. BFS, MPI, Graph500‏‎ (2 categories)
  20. Poisson equation, solving with DFT, PFFT‏‎ (2 categories)
  21. Backward substitution, scalability‏‎ (2 categories)
  22. Prim's, Java, JGraphT‏‎ (2 categories)
  23. Bellman-Ford, locality‏‎ (2 categories)
  24. QR decomposition of dense nonsingular matrices‏‎ (2 categories)
  25. Binary search, C++‏‎ (2 categories)
  26. Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix‏‎ (2 categories)
  27. Boruvka's, RCC for CPU‏‎ (2 categories)
  28. Single Source Shortest Path (SSSP)‏‎ (2 categories)
  29. Cholesky decomposition, locality‏‎ (2 categories)
  30. Tarjan's biconnected components, C++, Boost Graph Library‏‎ (2 categories)
  31. Complete cyclic reduction, scalability‏‎ (2 categories)
  32. Tarjan's strongly connected components, Python/C++, NetworKit‏‎ (2 categories)
  33. DFS, C++, Boost Graph Library‏‎ (2 categories)
  34. The serial-parallel summation method, locality‏‎ (2 categories)
  35. Dense matrix multiplication, scalability‏‎ (2 categories)
  36. Triangular decompositions‏‎ (2 categories)
  37. Dijkstra, Python‏‎ (2 categories)
  38. Uniform norm of a vector, locality‏‎ (2 categories)
  39. Dot product‏‎ (2 categories)
  40. VF2 algorithm‏‎ (2 categories)
  41. Finding minimal-cost flow in a transportation network‏‎ (2 categories)
  42. Ford–Fulkerson algorithm‏‎ (2 categories)
  43. Gaussian elimination with column pivoting‏‎ (2 categories)
  44. Hopcroft–Karp algorithm‏‎ (2 categories)
  45. Householder (reflections) method for the QR decomposition, SCALAPACK‏‎ (2 categories)
  46. Hungarian, Java, JGraphT‏‎ (2 categories)
  47. K-means clustering, Ayasdi‏‎ (2 categories)
  48. K-means clustering, OpenCV‏‎ (2 categories)
  49. K-means clustering, Torch‏‎ (2 categories)
  50. Kaczmarz's, MATLAB2‏‎ (2 categories)
  51. LU decomposition using Gaussian elimination with pivoting‏‎ (2 categories)
  52. Lanczos, C, MPI‏‎ (2 categories)
  53. Longest shortest path, Python/C++, NetworKit‏‎ (2 categories)
  54. Newton's method for systems of nonlinear equations‏‎ (2 categories)
  55. Newton's method for systems of nonlinear equations, parallel3‏‎ (2 categories)
  56. One step of the dqds algorithm‏‎ (2 categories)
  57. Assignment problem‏‎ (2 categories)
  58. Parallel prefix scan algorithm using pairwise summation‏‎ (2 categories)
  59. BFS, Python, NetworkX‏‎ (2 categories)
  60. Poisson equation, solving with DFT, cuFFT‏‎ (2 categories)
  61. Bellman-Ford, C++, Boost Graph Library‏‎ (2 categories)
  62. Prim's algorithm‏‎ (2 categories)
  63. Bellman-Ford, scalability‏‎ (2 categories)
  64. Reducing matrices to compact forms‏‎ (2 categories)
  65. Binary search, Java‏‎ (2 categories)
  66. Serial-parallel method for solving tridiagonal matrices based on the LU decomposition and backward substitutions‏‎ (2 categories)
  67. Boruvka's, RCC for GPU‏‎ (2 categories)
  68. Singular value decomposition (finding singular values and singular vectors)‏‎ (2 categories)
  69. Cholesky decomposition, scalability‏‎ (2 categories)
  70. Tarjan's biconnected components, Java, JGraphT‏‎ (2 categories)
  71. Construction of the minimum spanning tree (MST)‏‎ (2 categories)
  72. Tarjan's strongly connected components algorithm‏‎ (2 categories)
  73. DFS, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  74. The serial-parallel summation method, scalability‏‎ (2 categories)
  75. Dense matrix multiplication (serial version for real matrices)‏‎ (2 categories)
  76. Two-qubit transform of a state vector‏‎ (2 categories)
  77. Dijkstra, Python/C++‏‎ (2 categories)
  78. Uniform norm of a vector: Real version, serial-parallel variant‏‎ (2 categories)
  79. Dot product, locality‏‎ (2 categories)
  80. Vertex connectivity of a graph‏‎ (2 categories)
  81. Floyd-Warshall, C++, Boost Graph Library‏‎ (2 categories)
  82. Forward substitution‏‎ (2 categories)
  83. Gaussian elimination with complete pivoting‏‎ (2 categories)
  84. Graph connectivity‏‎ (2 categories)
  85. Horners, locality‏‎ (2 categories)
  86. Householder (reflections) method for the QR decomposition, locality‏‎ (2 categories)
  87. Hungarian algorithm‏‎ (2 categories)
  88. K-means clustering, CrimeStat‏‎ (2 categories)
  89. K-means clustering, R‏‎ (2 categories)
  90. K-means clustering, Weka‏‎ (2 categories)
  91. Kaczmarz's, MATLAB3‏‎ (2 categories)
  92. LU decomposition using Gaussian elimination without pivoting‏‎ (2 categories)
  93. Lanczos, MPI, OpenMP‏‎ (2 categories)
  94. Matrix decomposition problem‏‎ (2 categories)
  95. Newton's method for systems of nonlinear equations, ALIAS C++‏‎ (2 categories)
  96. Newton's method for systems of nonlinear equations, scalability1‏‎ (2 categories)
  97. Orthogonalization method‏‎ (2 categories)
  98. Auction algorithm‏‎ (2 categories)
  99. Poisson equation, solving with DFT‏‎ (2 categories)
  100. BFS, Python/C++, NetworKit‏‎ (2 categories)

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