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Showing below up to 50 results in range #121 to #170.
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- K-means clustering, MATLAB (1 revision)
- Bellman-Ford, OpenMP, Stinger (1 revision)
- Dijkstra, Python (1 revision)
- Boruvka's, C++, MPI, Parallel Boost Graph Library (1 revision)
- Lanczos, C++, MPI (1 revision)
- The serial-parallel summation method, locality (1 revision)
- Binary search, Python (1 revision)
- Single-qubit transform of a state vector, scalability (1 revision)
- Prim's algorithm (1 revision)
- Auction algorithm (1 revision)
- Meet-in-the-middle attack, implementation2 (1 revision)
- High Performance Conjugate Gradient (HPCG) benchmark (1 revision)
- Two-sided Thomas algorithm, block variant (1 revision)
- Reducing matrices to compact forms (1 revision)
- Serial Jacobi (rotations) method with thresholds for symmetric matrices (1 revision)
- K-means clustering, RapidMiner (1 revision)
- Bellman-Ford, Nvidia nvGraph (1 revision)
- VF2, C++, Boost Graph Library (1 revision)
- Tarjan's strongly connected components, Java, WebGraph (1 revision)
- Tarjan's strongly connected components, Python, NetworkX (1 revision)
- Dijkstra, C++, MPI: Parallel Boost Graph Library, 2 (1 revision)
- HPCG, scalability (1 revision)
- Dense matrix multiplication, scalability (1 revision)
- K-means clustering, R (1 revision)
- Horners, locality (1 revision)
- K-means clustering, CrimeStat (1 revision)
- Dijkstra, Google (1 revision)
- Face recognition (1 revision)
- Meet-in-the-middle attack, implementation3 (1 revision)
- Newton's method for systems of nonlinear equations, PETSc (1 revision)
- Householder (reflections) method for the QR decomposition, locality (1 revision)
- Numerical quadrature (cubature) rules on an interval (for a multidimensional cube), scalability (1 revision)
- Gaussian elimination with column pivoting (1 revision)
- The classical Jacobi (rotations) method with pivoting for symmetric matrices (1 revision)
- BFS, MPI, Graph500 (1 revision)
- Ullman's, C++, VF Library (1 revision)
- Hopcroft–Karp, Java, JGraphT (1 revision)
- Kruskal's, Python, NetworkX (1 revision)
- Tarjan's strongly connected components, Python/C++, NetworKit (1 revision)
- Binary search, С (1 revision)
- The serial-parallel summation method, scalability (1 revision)
- Boruvka's, scalability (1 revision)
- Face recognition, scalability (1 revision)
- Binary search, .NET Framework 2.0 (1 revision)
- Triangular decompositions (1 revision)
- QR algorithm as implemented in SCALAPACK (1 revision)
- Householder (reflections) method for the QR decomposition, SCALAPACK (1 revision)
- Uniform norm of a vector: Real version, serial-parallel variant (1 revision)
- HITS, VGL (1 revision)
- Tarjan's biconnected components, Java, JGraphT (1 revision)
