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Showing below up to 321 results in range #1 to #321.

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  1. Householder (reflections) reduction of a matrix to bidiagonal form, locality‏‎ (2 categories)
  2. K-means clustering, Apache Mahout‏‎ (2 categories)
  3. K-means clustering, Octave‏‎ (2 categories)
  4. K-means clustering, Stata‏‎ (2 categories)
  5. Kaczmarz's, MATLAB1‏‎ (2 categories)
  6. Kruskal's algorithm‏‎ (2 categories)
  7. Lanczos, C++, MPI, 3‏‎ (2 categories)
  8. Longest shortest path, Java, WebGraph‏‎ (2 categories)
  9. Methods for solving tridiagonal SLAEs‏‎ (2 categories)
  10. Newton's method for systems of nonlinear equations, parallel2‏‎ (2 categories)
  11. One step of the dqds, LAPACK‏‎ (2 categories)
  12. All Pairs Shortest Path (APSP)‏‎ (2 categories)
  13. Pairwise summation of numbers, scalability‏‎ (2 categories)
  14. BFS, MPI, Graph500‏‎ (2 categories)
  15. Poisson equation, solving with DFT, PFFT‏‎ (2 categories)
  16. Backward substitution, scalability‏‎ (2 categories)
  17. Prim's, Java, JGraphT‏‎ (2 categories)
  18. Bellman-Ford, locality‏‎ (2 categories)
  19. QR decomposition of dense nonsingular matrices‏‎ (2 categories)
  20. Binary search, C++‏‎ (2 categories)
  21. Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix‏‎ (2 categories)
  22. Boruvka's, RCC for CPU‏‎ (2 categories)
  23. Single Source Shortest Path (SSSP)‏‎ (2 categories)
  24. Cholesky decomposition, locality‏‎ (2 categories)
  25. Tarjan's biconnected components, C++, Boost Graph Library‏‎ (2 categories)
  26. Complete cyclic reduction, scalability‏‎ (2 categories)
  27. Tarjan's strongly connected components, Python/C++, NetworKit‏‎ (2 categories)
  28. DFS, C++, Boost Graph Library‏‎ (2 categories)
  29. The serial-parallel summation method, locality‏‎ (2 categories)
  30. Dense matrix multiplication, scalability‏‎ (2 categories)
  31. Triangular decompositions‏‎ (2 categories)
  32. Dijkstra, Python‏‎ (2 categories)
  33. Uniform norm of a vector, locality‏‎ (2 categories)
  34. Dot product‏‎ (2 categories)
  35. VF2 algorithm‏‎ (2 categories)
  36. Finding minimal-cost flow in a transportation network‏‎ (2 categories)
  37. Ford–Fulkerson, Python, NetworkX‏‎ (2 categories)
  38. Gaussian elimination (finding the LU decomposition)‏‎ (2 categories)
  39. Givens method, locality‏‎ (2 categories)
  40. Hopcroft–Karp, Java, JGraphT‏‎ (2 categories)
  41. Householder (reflections) method for reducing of a matrix to Hessenberg form‏‎ (2 categories)
  42. Hungarian, Java, JGraphT‏‎ (2 categories)
  43. K-means clustering, Ayasdi‏‎ (2 categories)
  44. K-means clustering, OpenCV‏‎ (2 categories)
  45. K-means clustering, Torch‏‎ (2 categories)
  46. Kaczmarz's, MATLAB2‏‎ (2 categories)
  47. LU decomposition using Gaussian elimination with pivoting‏‎ (2 categories)
  48. Lanczos, C, MPI‏‎ (2 categories)
  49. Longest shortest path, Python/C++, NetworKit‏‎ (2 categories)
  50. Newton's method for systems of nonlinear equations‏‎ (2 categories)
  51. Newton's method for systems of nonlinear equations, parallel3‏‎ (2 categories)
  52. One step of the dqds algorithm‏‎ (2 categories)
  53. Assignment problem‏‎ (2 categories)
  54. Parallel prefix scan algorithm using pairwise summation‏‎ (2 categories)
  55. BFS, Python, NetworkX‏‎ (2 categories)
  56. Poisson equation, solving with DFT, cuFFT‏‎ (2 categories)
  57. Bellman-Ford, C++, Boost Graph Library‏‎ (2 categories)
  58. Prim's algorithm‏‎ (2 categories)
  59. Bellman-Ford, scalability‏‎ (2 categories)
  60. Reducing matrices to compact forms‏‎ (2 categories)
  61. Binary search, Java‏‎ (2 categories)
  62. Serial-parallel method for solving tridiagonal matrices based on the LU decomposition and backward substitutions‏‎ (2 categories)
  63. Boruvka's, RCC for GPU‏‎ (2 categories)
  64. Singular value decomposition (finding singular values and singular vectors)‏‎ (2 categories)
  65. Cholesky decomposition, scalability‏‎ (2 categories)
  66. Tarjan's biconnected components, Java, JGraphT‏‎ (2 categories)
  67. Construction of the minimum spanning tree (MST)‏‎ (2 categories)
  68. Tarjan's strongly connected components algorithm‏‎ (2 categories)
  69. DFS, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  70. The serial-parallel summation method, scalability‏‎ (2 categories)
  71. Dense matrix multiplication (serial version for real matrices)‏‎ (2 categories)
  72. Two-qubit transform of a state vector‏‎ (2 categories)
  73. Dijkstra, Python/C++‏‎ (2 categories)
  74. Uniform norm of a vector: Real version, serial-parallel variant‏‎ (2 categories)
  75. Dot product, locality‏‎ (2 categories)
  76. Vertex connectivity of a graph‏‎ (2 categories)
  77. Floyd-Warshall, C++, Boost Graph Library‏‎ (2 categories)
  78. Ford–Fulkerson algorithm‏‎ (2 categories)
  79. Gaussian elimination with column pivoting‏‎ (2 categories)
  80. Hopcroft–Karp algorithm‏‎ (2 categories)
  81. Householder (reflections) method for the QR decomposition, SCALAPACK‏‎ (2 categories)
  82. Hungarian algorithm‏‎ (2 categories)
  83. K-means clustering, CrimeStat‏‎ (2 categories)
  84. K-means clustering, R‏‎ (2 categories)
  85. K-means clustering, Weka‏‎ (2 categories)
  86. Kaczmarz's, MATLAB3‏‎ (2 categories)
  87. LU decomposition using Gaussian elimination without pivoting‏‎ (2 categories)
  88. Lanczos, MPI, OpenMP‏‎ (2 categories)
  89. Matrix decomposition problem‏‎ (2 categories)
  90. Newton's method for systems of nonlinear equations, ALIAS C++‏‎ (2 categories)
  91. Newton's method for systems of nonlinear equations, scalability1‏‎ (2 categories)
  92. Orthogonalization method‏‎ (2 categories)
  93. Auction algorithm‏‎ (2 categories)
  94. Poisson equation, solving with DFT‏‎ (2 categories)
  95. BFS, Python/C++, NetworKit‏‎ (2 categories)
  96. Poisson equation, solving with DFT, locality‏‎ (2 categories)
  97. Bellman-Ford, Java, JGraphT‏‎ (2 categories)
  98. Purdom's, Boost Graph Library‏‎ (2 categories)
  99. Bellman-Ford algorithm‏‎ (2 categories)
  100. Repeated Thomas, locality‏‎ (2 categories)
  101. Binary search, Python‏‎ (2 categories)
  102. Serial Jacobi (rotations) method for symmetric matrices‏‎ (2 categories)
  103. Boruvka's, locality‏‎ (2 categories)
  104. Stochastic dual dynamic programming (SDDP)‏‎ (2 categories)
  105. Cholesky method‏‎ (2 categories)
  106. Tarjan's biconnected components, Python, NetworkX‏‎ (2 categories)
  107. Cooley-Tukey, locality‏‎ (2 categories)
  108. Tarjan-Vishkin biconnected components, scalability‏‎ (2 categories)
  109. DFS, Python, NetworkX‏‎ (2 categories)
  110. Thomas, locality‏‎ (2 categories)
  111. Depth-first search (DFS)‏‎ (2 categories)
  112. Two-sided Thomas, locality‏‎ (2 categories)
  113. Dijkstra, VGL, pull‏‎ (2 categories)
  114. Unitary-triangular factorizations‏‎ (2 categories)
  115. Dot product, scalability‏‎ (2 categories)
  116. Δ-stepping, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  117. Floyd-Warshall, Java, JGraphT‏‎ (2 categories)
  118. Forward substitution‏‎ (2 categories)
  119. Gaussian elimination with complete pivoting‏‎ (2 categories)
  120. Graph connectivity‏‎ (2 categories)
  121. Horners, locality‏‎ (2 categories)
  122. Householder (reflections) method for the QR decomposition, locality‏‎ (2 categories)
  123. Jacobi (rotations) method for finding singular values‏‎ (2 categories)
  124. K-means clustering, ELKI‏‎ (2 categories)
  125. K-means clustering, RapidMiner‏‎ (2 categories)
  126. K-means clustering, scalability1‏‎ (2 categories)
  127. Kaczmarz's algorithm‏‎ (2 categories)
  128. LU decomposition via Gaussian elimination‏‎ (2 categories)
  129. Lanczos algorithm in exact algorithm (without reorthogonalization)‏‎ (2 categories)
  130. Meet-in-the-middle attack‏‎ (2 categories)
  131. Newton's method for systems of nonlinear equations, Numerical Mathematics - NewtonLib‏‎ (2 categories)
  132. Newton's method for systems of nonlinear equations, scalability2‏‎ (2 categories)
  133. Orthogonalization method with reorthogonalization‏‎ (2 categories)
  134. BFS, C++, Boost Graph Library‏‎ (2 categories)
  135. Poisson equation, solving with DFT, AccFFT‏‎ (2 categories)
  136. BFS, RCC for CPU‏‎ (2 categories)
  137. Poisson equation, solving with DFT, scalability‏‎ (2 categories)
  138. Bellman-Ford, Ligra‏‎ (2 categories)
  139. Purdom's algorithm‏‎ (2 categories)
  140. BiCGStab, HYPRE‏‎ (2 categories)
  141. Repeated Thomas algorithm, pointwise version‏‎ (2 categories)
  142. Binary search, locality‏‎ (2 categories)
  143. Serial Jacobi (rotations) method with thresholds for symmetric matrices‏‎ (2 categories)
  144. Boruvka's, scalability‏‎ (2 categories)
  145. Stone doubling algorithm‏‎ (2 categories)
  146. Classical orthogonalization method‏‎ (2 categories)
  147. Tarjan's biconnected components algorithm‏‎ (2 categories)
  148. Cooley-Tukey, scalability‏‎ (2 categories)
  149. Tarjan-Vishkin biconnected components algorithm‏‎ (2 categories)
  150. Dense matrix-vector multiplication‏‎ (2 categories)
  151. Thomas algorithm‏‎ (2 categories)
  152. Dijkstra's algorithm‏‎ (2 categories)
  153. Two-sided Thomas algorithm, block variant‏‎ (2 categories)
  154. Dijkstra, VGL, push‏‎ (2 categories)
  155. Unitary reductions to Hessenberg form‏‎ (2 categories)
  156. Eigenvalue decomposition (finding eigenvalues and eigenvectors)‏‎ (2 categories)
  157. Δ-stepping, Gap‏‎ (2 categories)
  158. Floyd-Warshall, Python, NetworkX‏‎ (2 categories)
  159. GHS algorithm‏‎ (2 categories)
  160. Gaussian elimination with diagonal pivoting‏‎ (2 categories)
  161. HITS, VGL‏‎ (2 categories)
  162. Horners method‏‎ (2 categories)
  163. Johnson's, C++, Boost Graph Library‏‎ (2 categories)
  164. K-means clustering, Julia‏‎ (2 categories)
  165. K-means clustering, SAP HANA‏‎ (2 categories)
  166. K-means clustering, scalability2‏‎ (2 categories)
  167. Kruskal's, C++, Boost Graph Library‏‎ (2 categories)
  168. LU decomposition via Gaussian elimination, locality‏‎ (2 categories)
  169. Linpack, HPL‏‎ (2 categories)
  170. Meet-in-the-middle attack, implementation1‏‎ (2 categories)
  171. Newton's method for systems of nonlinear equations, Numerical Recipes‏‎ (2 categories)
  172. Newton's method for systems of nonlinear equations, scalability3‏‎ (2 categories)
  173. PageRank, VGL‏‎ (2 categories)
  174. BFS, C++, MPI, Boost Graph Library‏‎ (2 categories)
  175. Poisson equation, solving with DFT, FFTE‏‎ (2 categories)
  176. BFS, RCC for GPU‏‎ (2 categories)
  177. Preflow-Push, C++, Boost Graph Library‏‎ (2 categories)
  178. Bellman-Ford, MPI, Graph500‏‎ (2 categories)
  179. QR algorithm‏‎ (2 categories)
  180. BiCGStab, MIT‏‎ (2 categories)
  181. Repeated two-sided Thomas, locality‏‎ (2 categories)
  182. Binary search, С‏‎ (2 categories)
  183. Shiloach-Vishkin algorithm for finding the connected components‏‎ (2 categories)
  184. Boruvka's algorithm‏‎ (2 categories)
  185. Stone doubling algorithm for solving bidiagonal SLAEs‏‎ (2 categories)
  186. Classical point-wise Householder (reflections) method for reducing a matrix to Hessenberg form‏‎ (2 categories)
  187. Tarjan's strongly connected components, C++, Boost Graph Library‏‎ (2 categories)
  188. Cooley–Tukey Fast Fourier Transform, radix-2 case‏‎ (2 categories)
  189. The Jacobi (rotations) method for solving the symmetric eigenvalue problem‏‎ (2 categories)
  190. Dense matrix-vector multiplication, locality‏‎ (2 categories)
  191. Thomas algorithm, locality‏‎ (2 categories)
  192. Dijkstra, C++, Boost Graph Library‏‎ (2 categories)
  193. Two-sided Thomas algorithm, pointwise version‏‎ (2 categories)
  194. Dijkstra, locality‏‎ (2 categories)
  195. Unitary reductions to tridiagonal form‏‎ (2 categories)
  196. Face recognition‏‎ (2 categories)
  197. Δ-stepping algorithm‏‎ (2 categories)
  198. Floyd-Warshall, scalability‏‎ (2 categories)
  199. Gabow's edge connectivity algorithm‏‎ (2 categories)
  200. Gaussian elimination with row pivoting‏‎ (2 categories)
  201. HPCG, locality‏‎ (2 categories)
  202. Householder (reflections) method for reducing a complex Hermitian matrix to symmetric tridiagonal form‏‎ (2 categories)
  203. Householder (reflections) method for the QR decomposition of a matrix‏‎ (2 categories)
  204. Johnson's algorithm‏‎ (2 categories)
  205. K-means clustering, MATLAB‏‎ (2 categories)
  206. K-means clustering, SAS‏‎ (2 categories)
  207. K-means clustering, scalability3‏‎ (2 categories)
  208. Kruskal's, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  209. LU decomposition via Gaussian elimination, scalability‏‎ (2 categories)
  210. Linpack, locality‏‎ (2 categories)
  211. Meet-in-the-middle attack, implementation2‏‎ (2 categories)
  212. Newton's method for systems of nonlinear equations, PETSc‏‎ (2 categories)
  213. Newton's method for systems of nonlinear equations, scalability4‏‎ (2 categories)
  214. Pairwise summation‏‎ (2 categories)
  215. BFS, GAP‏‎ (2 categories)
  216. Poisson equation, solving with DFT, FFTW‏‎ (2 categories)
  217. BFS, VGL‏‎ (2 categories)
  218. Preflow-Push, Python, NetworkX‏‎ (2 categories)
  219. Bellman-Ford, Nvidia nvGraph‏‎ (2 categories)
  220. QR algorithm as implemented in SCALAPACK‏‎ (2 categories)
  221. BiCGStab, NVIDIA AmgX‏‎ (2 categories)
  222. Repeated two-sided Thomas algorithm, pointwise version‏‎ (2 categories)
  223. Binary search: Finding the position of a target value within a sorted array‏‎ (2 categories)
  224. Single-qubit transform of a state vector‏‎ (2 categories)
  225. Breadth-first search (BFS)‏‎ (2 categories)
  226. Stone doubling algorithm for the LU decomposition of a tridiagonal matrix‏‎ (2 categories)
  227. Compact scheme for Gaussian elimination and its modifications: Tridiagonal matrix‏‎ (2 categories)
  228. Tarjan's strongly connected components, Java, JGraphT‏‎ (2 categories)
  229. Cubature rules‏‎ (2 categories)
  230. The classical Jacobi (rotations) method with pivoting for symmetric matrices‏‎ (2 categories)
  231. Dense matrix-vector multiplication, scalability‏‎ (2 categories)
  232. Thomas algorithm, pointwise version‏‎ (2 categories)
  233. Dijkstra, C++, MPI: Parallel Boost Graph Library, 1‏‎ (2 categories)
  234. Ullman's, C++, Chemical Descriptors Library‏‎ (2 categories)
  235. Disjoint set union‏‎ (2 categories)
  236. VF2, C++, Boost Graph Library‏‎ (2 categories)
  237. Face recognition, scalability‏‎ (2 categories)
  238. Floyd-Warshall algorithm‏‎ (2 categories)
  239. Gaussian elimination, compact scheme for tridiagonal matrices, serial variant‏‎ (2 categories)
  240. HPCG, scalability‏‎ (2 categories)
  241. Householder (reflections) method for reducing a symmetric matrix to tridiagonal form‏‎ (2 categories)
  242. Householder (reflections) method for the QR decomposition of a square matrix, real point-wise version‏‎ (2 categories)
  243. K-means clustering‏‎ (2 categories)
  244. K-means clustering, MLPACK‏‎ (2 categories)
  245. K-means clustering, SciPy‏‎ (2 categories)
  246. K-means clustering, scalability4‏‎ (2 categories)
  247. Kruskal's, Java, JGraphT‏‎ (2 categories)
  248. Lanczos, C++, MPI‏‎ (2 categories)
  249. Linpack benchmark‏‎ (2 categories)
  250. Meet-in-the-middle attack, implementation3‏‎ (2 categories)
  251. Newton's method for systems of nonlinear equations, Sundials‏‎ (2 categories)
  252. Numerical quadrature (cubature) rules on an interval (for a multidimensional cube)‏‎ (2 categories)
  253. Pairwise summation of numbers‏‎ (2 categories)
  254. BFS, Java, WebGraph‏‎ (2 categories)
  255. Poisson equation, solving with DFT, MKL FFT‏‎ (2 categories)
  256. Backward substitution‏‎ (2 categories)
  257. Preflow-Push algorithm‏‎ (2 categories)
  258. Bellman-Ford, OpenMP, Stinger‏‎ (2 categories)
  259. QR algorithm for complex Hermitian matrices as implemented in SCALAPACK‏‎ (2 categories)
  260. Biconjugate gradient stabilized method (BiCGStab)‏‎ (2 categories)
  261. SDDP, scalability‏‎ (2 categories)
  262. Block Thomas algorithm‏‎ (2 categories)
  263. Single-qubit transform of a state vector, locality‏‎ (2 categories)
  264. Cholesky decomposition‏‎ (2 categories)
  265. Symmetric QR algorithm as implemented in SCALAPACK‏‎ (2 categories)
  266. Complete cyclic reduction‏‎ (2 categories)
  267. Tarjan's strongly connected components, Java, WebGraph‏‎ (2 categories)
  268. DCSC algorithm for finding the strongly connected components‏‎ (2 categories)
  269. Dense matrix multiplication‏‎ (2 categories)
  270. Transitive closure of a directed graph‏‎ (2 categories)
  271. Dijkstra, C++, MPI: Parallel Boost Graph Library, 2‏‎ (2 categories)
  272. Ullman's, C++, VF Library‏‎ (2 categories)
  273. Disjoint set union, Boost Graph Library‏‎ (2 categories)
  274. VF2, C++, VF Library‏‎ (2 categories)
  275. Fast Fourier transform for powers-of-two‏‎ (2 categories)
  276. Ford–Fulkerson, C++, Boost Graph Library‏‎ (2 categories)
  277. Gaussian elimination, compact scheme for tridiagonal matrices, serial version‏‎ (2 categories)
  278. Givens (rotations) method for the QR decomposition of a matrix‏‎ (2 categories)
  279. Hessenberg QR algorithm as implemented in SCALAPACK‏‎ (2 categories)
  280. Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, SCALAPACK‏‎ (2 categories)
  281. Householder (reflections) reduction of a matrix to bidiagonal form‏‎ (2 categories)
  282. Householder (reflections) reduction of a matrix to bidiagonal form, SCALAPACK‏‎ (2 categories)
  283. K-means clustering, Accord.NET‏‎ (2 categories)
  284. K-means clustering, Mathematica‏‎ (2 categories)
  285. K-means clustering, Spark‏‎ (2 categories)
  286. K-means clustering, scikit-learn‏‎ (2 categories)
  287. Kruskal's, Python, NetworkX‏‎ (2 categories)
  288. Lanczos, C++, MPI, 2‏‎ (2 categories)
  289. Longest shortest path‏‎ (2 categories)
  290. Meet-in-the-middle attack, scalability‏‎ (2 categories)
  291. Newton's method for systems of nonlinear equations, parallel1‏‎ (2 categories)
  292. Numerical quadrature (cubature) rules on an interval (for a multidimensional cube), scalability‏‎ (2 categories)
  293. Pairwise summation of numbers, locality‏‎ (2 categories)
  294. BFS, Ligra‏‎ (2 categories)
  295. Poisson equation, solving with DFT, P3DFFT‏‎ (2 categories)
  296. Backward substitution, locality‏‎ (2 categories)
  297. Prim's, C++, Boost Graph Library‏‎ (2 categories)
  298. Bellman-Ford, Python, NetworkX‏‎ (2 categories)
  299. QR decomposition methods for dense Hessenberg matrices‏‎ (2 categories)
  300. Binary search, .NET Framework 2.0‏‎ (2 categories)
  301. Search for isomorphic subgraphs‏‎ (2 categories)
  302. Boruvka's, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  303. Single-qubit transform of a state vector, scalability‏‎ (2 categories)
  304. Cholesky decomposition, SCALAPACK‏‎ (2 categories)
  305. Tarjan's algorithm for finding the bridges of a graph‏‎ (2 categories)
  306. Complete cyclic reduction, locality‏‎ (2 categories)
  307. Tarjan's strongly connected components, Python, NetworkX‏‎ (2 categories)
  308. DCSC for finding the strongly connected components, C++, MPI, Parallel Boost Graph Library‏‎ (2 categories)
  309. The serial-parallel summation method‏‎ (2 categories)
  310. Dense matrix multiplication, locality‏‎ (2 categories)
  311. Triangular decomposition of a Gram matrix‏‎ (2 categories)
  312. Dijkstra, Google‏‎ (2 categories)
  313. Ullman's algorithm‏‎ (2 categories)
  314. Disjoint set union, Java, JGraphT‏‎ (2 categories)
  315. VF2, Python, NetworkX‏‎ (2 categories)
  316. Finding maximal flow in a transportation network‏‎ (2 categories)
  317. Ford–Fulkerson, Java, JGraphT‏‎ (2 categories)
  318. Gaussian elimination, compact scheme for tridiagonal matrices and its modifications‏‎ (2 categories)
  319. Givens method‏‎ (2 categories)
  320. High Performance Conjugate Gradient (HPCG) benchmark‏‎ (2 categories)
  321. Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, locality‏‎ (2 categories)

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