Pages with the fewest revisions
Jump to navigation
Jump to search
Showing below up to 100 results in range #101 to #200.
View (previous 100 | next 100) (20 | 50 | 100 | 250 | 500)
- Jacobi (rotations) method for finding singular values (1 revision)
- Bellman-Ford, MPI, Graph500 (1 revision)
- Poisson equation, solving with DFT, P3DFFT (1 revision)
- BiCGStab, HYPRE (1 revision)
- LU decomposition via Gaussian elimination, scalability (1 revision)
- Lanczos, C++, MPI, 3 (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-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)
- 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)
- 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)
- 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)
- 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)
- 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)
- Preflow-Push, C++, Boost Graph Library (1 revision)
- Poisson equation, solving with DFT, cuFFT (1 revision)
- Binary search, С (1 revision)
- The serial-parallel summation method, scalability (1 revision)
- Single-qubit transform of a state vector, locality (1 revision)
- K-means clustering, Accord.NET (1 revision)
- Thomas, locality (1 revision)
- K-means clustering, Apache Mahout (1 revision)
- K-means clustering (1 revision)
- Newton's method for systems of nonlinear equations, Sundials (1 revision)
- Newton's method for systems of nonlinear equations, Numerical Recipes (1 revision)
- Singular value decomposition (finding singular values and singular vectors) (1 revision)
- Numerical quadrature (cubature) rules on an interval (for a multidimensional cube) (1 revision)
- Boruvka's, RCC for GPU (1 revision)
- PageRank, VGL (1 revision)
- Bellman-Ford, Python, NetworkX (1 revision)
- Poisson equation, solving with DFT, FFTE (1 revision)
- SDDP, scalability (1 revision)
- Binary search, locality (1 revision)
- Block Thomas algorithm (1 revision)
- Thomas algorithm, locality (1 revision)
- Depth-first search (DFS) (1 revision)
- Stone doubling algorithm (1 revision)
- Newton's method for systems of nonlinear equations, ALIAS C++ (1 revision)
- Tarjan's strongly connected components algorithm (1 revision)
- Eigenvalue decomposition (finding eigenvalues and eigenvectors) (1 revision)
- Householder (reflections) method for the QR decomposition of a square matrix, real point-wise version (1 revision)
- K-means clustering, Ayasdi (1 revision)
- Disjoint set union, Java, JGraphT (1 revision)
- Dijkstra, VGL, pull (1 revision)
- Floyd-Warshall, Python, NetworkX (1 revision)
- Poisson equation, solving with DFT, MKL FFT (1 revision)
