Pages with the most categories

Showing below up to 50 results in range #1 to #50.

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1. Hopcroft–Karp, Java, JGraphT‏‎ (2 categories)
2. Householder (reflections) method for reducing of a matrix to Hessenberg form‏‎ (2 categories)
3. Householder (reflections) reduction of a matrix to bidiagonal form, locality‏‎ (2 categories)
4. K-means clustering, Apache Mahout‏‎ (2 categories)
5. K-means clustering, Octave‏‎ (2 categories)
6. K-means clustering, Stata‏‎ (2 categories)
7. Kaczmarz's, MATLAB1‏‎ (2 categories)
8. Kruskal's algorithm‏‎ (2 categories)
9. Lanczos, C++, MPI, 3‏‎ (2 categories)
10. Longest shortest path, Java, WebGraph‏‎ (2 categories)
11. Methods for solving tridiagonal SLAEs‏‎ (2 categories)
12. Newton's method for systems of nonlinear equations, parallel2‏‎ (2 categories)
13. One step of the dqds, LAPACK‏‎ (2 categories)
14. All Pairs Shortest Path (APSP)‏‎ (2 categories)
15. Pairwise summation of numbers, scalability‏‎ (2 categories)
16. BFS, MPI, Graph500‏‎ (2 categories)
17. Poisson equation, solving with DFT, PFFT‏‎ (2 categories)
18. Backward substitution, scalability‏‎ (2 categories)
19. Prim's, Java, JGraphT‏‎ (2 categories)
20. Bellman-Ford, locality‏‎ (2 categories)
21. QR decomposition of dense nonsingular matrices‏‎ (2 categories)
22. Binary search, C++‏‎ (2 categories)
23. Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix‏‎ (2 categories)
24. Boruvka's, RCC for CPU‏‎ (2 categories)
25. Single Source Shortest Path (SSSP)‏‎ (2 categories)
26. Cholesky decomposition, locality‏‎ (2 categories)
27. Tarjan's biconnected components, C++, Boost Graph Library‏‎ (2 categories)
28. Complete cyclic reduction, scalability‏‎ (2 categories)
29. Tarjan's strongly connected components, Python/C++, NetworKit‏‎ (2 categories)
30. DFS, C++, Boost Graph Library‏‎ (2 categories)
31. The serial-parallel summation method, locality‏‎ (2 categories)
32. Dense matrix multiplication, scalability‏‎ (2 categories)
33. Triangular decompositions‏‎ (2 categories)
34. Dijkstra, Python‏‎ (2 categories)
35. Uniform norm of a vector, locality‏‎ (2 categories)
36. Dot product‏‎ (2 categories)
37. VF2 algorithm‏‎ (2 categories)
38. Finding minimal-cost flow in a transportation network‏‎ (2 categories)
39. Ford–Fulkerson, Python, NetworkX‏‎ (2 categories)
40. Gaussian elimination (finding the LU decomposition)‏‎ (2 categories)
41. Givens method, locality‏‎ (2 categories)
42. Hopcroft–Karp algorithm‏‎ (2 categories)
43. Householder (reflections) method for the QR decomposition, SCALAPACK‏‎ (2 categories)
44. Hungarian, Java, JGraphT‏‎ (2 categories)
45. K-means clustering, Ayasdi‏‎ (2 categories)
46. K-means clustering, OpenCV‏‎ (2 categories)
47. K-means clustering, Torch‏‎ (2 categories)
48. Kaczmarz's, MATLAB2‏‎ (2 categories)
49. LU decomposition using Gaussian elimination with pivoting‏‎ (2 categories)
50. Lanczos, C, MPI‏‎ (2 categories)

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