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Showing below up to 50 results in range #101 to #150.
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- Johnson's algorithm (1 revision)
- Pairwise summation of numbers, scalability (1 revision)
- Longest shortest path (1 revision)
- Newton's method for systems of nonlinear equations, scalability4 (1 revision)
- Two-qubit transform of a state vector (1 revision)
- QR algorithm for complex Hermitian matrices as implemented in SCALAPACK (1 revision)
- Serial-parallel algorithm for the LU decomposition of a tridiagonal matrix (1 revision)
- K-means clustering, MATLAB (1 revision)
- Bellman-Ford, OpenMP, Stinger (1 revision)
- Dijkstra, Python (1 revision)
- Longest shortest path, Java, WebGraph (1 revision)
- Thomas algorithm (1 revision)
- Givens method, locality (1 revision)
- BiCGStab, NVIDIA AmgX (1 revision)
- Bellman-Ford, scalability (1 revision)
- Binary search: Finding the position of a target value within a sorted array (1 revision)
- Backward substitution, locality (1 revision)
- Kruskal's algorithm (1 revision)
- Meet-in-the-middle attack, implementation1 (1 revision)
- Tarjan-Vishkin biconnected components, scalability (1 revision)
- Classical orthogonalization method (1 revision)
- Tarjan's biconnected components algorithm (1 revision)
- Lanczos algorithm in exact algorithm (without reorthogonalization) (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)
- 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)
- 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)
- Dijkstra, C++, MPI: Parallel Boost Graph Library, 2 (1 revision)
- HPCG, scalability (1 revision)
- Dense matrix multiplication, scalability (1 revision)
