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Showing below up to 250 results in range #1 to #250.
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- Cholesky decomposition (120 revisions)
- Givens method (78 revisions)
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form (75 revisions)
- Poisson equation, solving with DFT (72 revisions)
- Elimination method, pointwise version (62 revisions)
- Bellman-Ford algorithm (60 revisions)
- Dijkstra's algorithm (59 revisions)
- One step of the dqds algorithm (58 revisions)
- Boruvka's algorithm (55 revisions)
- The serial-parallel summation method (54 revisions)
- Repeated Thomas algorithm, pointwise version (53 revisions)
- Single-qubit transform of a state vector (50 revisions)
- Linpack benchmark (48 revisions)
- Methods for solving tridiagonal SLAEs (45 revisions)
- DCSC algorithm for finding the strongly connected components (39 revisions)
- Purdom's algorithm (38 revisions)
- Stone doubling algorithm for the LU decomposition of a tridiagonal matrix (37 revisions)
- Gaussian elimination, compact scheme for tridiagonal matrices, serial variant (34 revisions)
- Breadth-first search (BFS) (34 revisions)
- Algorithm classification (32 revisions)
- Horners method (30 revisions)
- Gaussian elimination, compact scheme for tridiagonal matrices and its modifications (30 revisions)
- Cholesky method (30 revisions)
- Back substitution (28 revisions)
- Dense matrix multiplication (serial version for real matrices) (15 revisions)
- QR decomposition of dense nonsingular matrices (14 revisions)
- Forward substitution (13 revisions)
- Dot product (13 revisions)
- Single Source Shortest Path (SSSP) (12 revisions)
- Description of algorithm properties and structure (11 revisions)
- Cooley–Tukey Fast Fourier Transform, radix-2 case (10 revisions)
- The dqds algorithm for calculating singular values of bidiagonal matrices (10 revisions)
- Orthogonalization method (10 revisions)
- About project (9 revisions)
- Δ-stepping algorithm (8 revisions)
- Dense matrix-vector multiplication (8 revisions)
- BFS, C++, MPI, Boost Graph Library (7 revisions)
- Cooley-Tukey, scalability (7 revisions)
- BFS, RCC for CPU (7 revisions)
- BFS, RCC for GPU (7 revisions)
- LU decomposition via Gaussian elimination (6 revisions)
- Pairwise summation of numbers (6 revisions)
- BFS, GAP (6 revisions)
- Backward substitution (6 revisions)
- BFS, C++, Boost Graph Library (6 revisions)
- LU decomposition using Gaussian elimination with pivoting (6 revisions)
- Construction of the minimum spanning tree (MST) (5 revisions)
- QR decomposition methods for dense Hessenberg matrices (5 revisions)
- BFS, Java, WebGraph (5 revisions)
- BFS, Python, NetworkX (5 revisions)
- Givens (rotations) method for the QR decomposition of a (real) Hessenberg matrix (5 revisions)
- Glossary (5 revisions)
- BFS, Ligra (5 revisions)
- Cholesky decomposition, scalability (4 revisions)
- BFS, Python/C++, NetworKit (4 revisions)
- Purdom's, Boost Graph Library (4 revisions)
- Triangular decomposition of a Gram matrix (4 revisions)
- Gaussian elimination, compact scheme for tridiagonal matrices, serial version (4 revisions)
- Graph connectivity (4 revisions)
- Cholesky decomposition, locality (4 revisions)
- Help (3 revisions)
- Two-sided Thomas algorithm, pointwise version (3 revisions)
- Unitary-triangular factorizations (3 revisions)
- Transitive closure of a directed graph (3 revisions)
- All Pairs Shortest Path (APSP) (3 revisions)
- Cooley-Tukey, locality (3 revisions)
- LU decomposition using Gaussian elimination without pivoting (3 revisions)
- Floyd-Warshall algorithm (3 revisions)
- Shiloach-Vishkin algorithm for finding the connected components (3 revisions)
- Dijkstra, VGL, push (3 revisions)
- Finding maximal flow in a transportation network (3 revisions)
- Search for isomorphic subgraphs (3 revisions)
- Householder (reflections) method for the QR decomposition of a (real) Hessenberg matrix (3 revisions)
- Givens (rotations) method for the QR decomposition of a matrix (3 revisions)
- Tarjan-Vishkin biconnected components algorithm (2 revisions)
- Householder (reflections) method for reducing of a matrix to Hessenberg form (2 revisions)
- Stone doubling algorithm for solving bidiagonal SLAEs (2 revisions)
- Assignment problem (2 revisions)
- Cholesky decomposition, SCALAPACK (2 revisions)
- Ford–Fulkerson, Java, JGraphT (2 revisions)
- Gaussian elimination with row pivoting (2 revisions)
- Householder (reflections) method for the QR decomposition of a matrix (2 revisions)
- Gaussian elimination (finding the LU decomposition) (2 revisions)
- Kruskal's, C++, MPI, Parallel Boost Graph Library (2 revisions)
- BFS, VGL (2 revisions)
- Thomas algorithm, pointwise version (2 revisions)
- Open Encyclopedia of Parallel Algorithmic Features (2 revisions)
- Tarjan's strongly connected components, Java, JGraphT (2 revisions)
- Householder (reflections) method for reducing a complex Hermitian matrix to symmetric tridiagonal form (2 revisions)
- K-means clustering, Spark (1 revision)
- K-means clustering, scalability1 (1 revision)
- Complete cyclic reduction, locality (1 revision)
- Matrix decomposition problem (1 revision)
- Complete cyclic reduction (1 revision)
- Householder (reflections) reduction of a matrix to bidiagonal form, locality (1 revision)
- Unitary reductions to Hessenberg form (1 revision)
- K-means clustering, SAP HANA (1 revision)
- Floyd-Warshall, C++, Boost Graph Library (1 revision)
- Longest shortest path, Python/C++, NetworKit (1 revision)
- Kaczmarz's, MATLAB3 (1 revision)
- One step of the dqds, LAPACK (1 revision)
- K-means clustering, Torch (1 revision)
- K-means clustering, scalability2 (1 revision)
- Two-sided Thomas, locality (1 revision)
- Hungarian algorithm (1 revision)
- Hopcroft–Karp algorithm (1 revision)
- Disjoint set union (1 revision)
- Householder (reflections) reduction of a matrix to bidiagonal form, SCALAPACK (1 revision)
- Symmetric QR algorithm as implemented in SCALAPACK (1 revision)
- Householder (reflections) reduction of a matrix to bidiagonal form (1 revision)
- Boruvka's, RCC for CPU (1 revision)
- Bellman-Ford, Java, JGraphT (1 revision)
- Dijkstra, Python/C++ (1 revision)
- DFS, C++, MPI, Parallel Boost Graph Library (1 revision)
- Binary search, Java (1 revision)
- K-means clustering, SciPy (1 revision)
- K-means clustering, scalability3 (1 revision)
- Complete cyclic reduction, scalability (1 revision)
- Meet-in-the-middle attack (1 revision)
- Preflow-Push algorithm (1 revision)
- Fast Fourier transform for powers-of-two (1 revision)
- Biconjugate gradient stabilized method (BiCGStab) (1 revision)
- The Jacobi (rotations) method for solving the symmetric eigenvalue problem (1 revision)
- K-means clustering, Stata (1 revision)
- Johnson's, C++, Boost Graph Library (1 revision)
- Tarjan's biconnected components, Python, NetworkX (1 revision)
- DFS, C++, Boost Graph Library (1 revision)
- Шаблон:Buttonlinkimp (1 revision)
- Poisson equation, solving with DFT, scalability (1 revision)
- GHS algorithm (1 revision)
- Bellman-Ford, locality (1 revision)
- Floyd-Warshall, scalability (1 revision)
- K-means clustering, scalability4 (1 revision)
- Dense matrix multiplication, locality (1 revision)
- Meet-in-the-middle attack, scalability (1 revision)
- Pairwise summation (1 revision)
- Newton's method for systems of nonlinear equations, scalability1 (1 revision)
- Newton's method for systems of nonlinear equations (1 revision)
- Gaussian elimination with diagonal pivoting (1 revision)
- K-means clustering, SAS (1 revision)
- Δ-stepping, Gap (1 revision)
- Kruskal's, Java, JGraphT (1 revision)
- Tarjan's strongly connected components, C++, Boost Graph Library (1 revision)
- Ford–Fulkerson, Python, NetworkX (1 revision)
- Dijkstra, C++, Boost Graph Library (1 revision)
- BiCGStab, MIT (1 revision)
- DCSC for finding the strongly connected components, C++, MPI, Parallel Boost Graph Library (1 revision)
- VF2 algorithm (1 revision)
- Boruvka's, locality (1 revision)
- K-means clustering, Octave (1 revision)
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, SCALAPACK (1 revision)
- K-means clustering, scikit-learn (1 revision)
- Cubature rules (1 revision)
- Dense matrix-vector multiplication, scalability (1 revision)
- Newton's method for systems of nonlinear equations, scalability2 (1 revision)
- Newton's method for systems of nonlinear equations, Numerical Mathematics - NewtonLib (1 revision)
- Hessenberg QR algorithm as implemented in SCALAPACK (1 revision)
- Unitary reductions to tridiagonal form (1 revision)
- K-means clustering, Mathematica (1 revision)
- Floyd-Warshall, Java, JGraphT (1 revision)
- Tarjan's biconnected components, C++, Boost Graph Library (1 revision)
- Poisson equation, solving with DFT, FFTW (1 revision)
- Δ-stepping, C++, MPI, Parallel Boost Graph Library (1 revision)
- HPCG, locality (1 revision)
- Lanczos, MPI, OpenMP (1 revision)
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, locality (1 revision)
- K-means clustering, OpenCV (1 revision)
- Pairwise summation of numbers, locality (1 revision)
- Ford–Fulkerson algorithm (1 revision)
- Newton's method for systems of nonlinear equations, scalability3 (1 revision)
- Repeated two-sided Thomas algorithm, pointwise version (1 revision)
- Stochastic dual dynamic programming (SDDP) (1 revision)
- Compact scheme for Gaussian elimination and its modifications: Tridiagonal matrix (1 revision)
- Bellman-Ford, Ligra (1 revision)
- Ullman's, C++, Chemical Descriptors Library (1 revision)
- DFS, Python, NetworkX (1 revision)
- Preflow-Push, Python, NetworkX (1 revision)
- Dijkstra, C++, MPI: Parallel Boost Graph Library, 1 (1 revision)
- Lanczos, C, MPI (1 revision)
- Dot product, scalability (1 revision)
- Lanczos, C++, MPI, 2 (1 revision)
- K-means clustering, MLPACK (1 revision)
- LU decomposition via Gaussian elimination, locality (1 revision)
- 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)
- 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)
