Pages that link to "File:I-blue-square-64x64.png"
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The following pages link to File:I-blue-square-64x64.png:
View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)- Algowiki:Levels of classification (file link) (← links)
- BFS, RCC for CPU (file link) (← links)
- BFS, RCC for GPU (file link) (← links)
- BFS, C++, Boost Graph Library (file link) (← links)
- BFS, C++, MPI, Boost Graph Library (file link) (← links)
- BFS, GAP (file link) (← links)
- BFS, Java, WebGraph (file link) (← links)
- BFS, Python, NetworkX (file link) (← links)
- BFS, Python/C++, NetworKit (file link) (← links)
- BFS, Ligra (file link) (← links)
- Cooley-Tukey, locality (file link) (← links)
- Cooley-Tukey, scalability (file link) (← links)
- Cholesky decomposition, locality (file link) (← links)
- Cholesky decomposition, SCALAPACK (file link) (← links)
- Cholesky decomposition, scalability (file link) (← links)
- Dijkstra, C++, Boost Graph Library (file link) (← links)
- Dijkstra, Python (file link) (← links)
- Dijkstra, Python/C++ (file link) (← links)
- Dijkstra, C++, MPI: Parallel Boost Graph Library, 1 (file link) (← links)
- Dijkstra, C++, MPI: Parallel Boost Graph Library, 2 (file link) (← links)
- Dijkstra, locality (file link) (← links)
- Dijkstra, Google (file link) (← links)
- Bellman-Ford, C++, Boost Graph Library (file link) (← links)
- Bellman-Ford, Python, NetworkX (file link) (← links)
- Bellman-Ford, Java, JGraphT (file link) (← links)
- Bellman-Ford, OpenMP, Stinger (file link) (← links)
- Bellman-Ford, Nvidia nvGraph (file link) (← links)
- Bellman-Ford, MPI, Graph500 (file link) (← links)
- Bellman-Ford, Ligra (file link) (← links)
- Bellman-Ford, locality (file link) (← links)
- Bellman-Ford, scalability (file link) (← links)
- BFS, MPI, Graph500 (file link) (← links)
- Δ-stepping, C++, MPI, Parallel Boost Graph Library (file link) (← links)
- Δ-stepping, Gap (file link) (← links)
- Johnson's, C++, Boost Graph Library (file link) (← links)
- Floyd-Warshall, C++, Boost Graph Library (file link) (← links)
- Floyd-Warshall, Python, NetworkX (file link) (← links)
- Floyd-Warshall, Java, JGraphT (file link) (← links)
- Floyd-Warshall, scalability (file link) (← links)
- Purdom's, Boost Graph Library (file link) (← links)
- Boruvka's, C++, MPI, Parallel Boost Graph Library (file link) (← links)
- Boruvka's, RCC for CPU (file link) (← links)
- Boruvka's, RCC for GPU (file link) (← links)
- Boruvka's, scalability (file link) (← links)
- Boruvka's, locality (file link) (← links)
- Kruskal's, C++, Boost Graph Library (file link) (← links)
- Kruskal's, C++, MPI, Parallel Boost Graph Library (file link) (← links)
- Kruskal's, Python, NetworkX (file link) (← links)
- Kruskal's, Java, JGraphT (file link) (← links)
- Prim's, C++, Boost Graph Library (file link) (← links)
- Prim's, Java, JGraphT (file link) (← links)
- Ullman's, C++, Chemical Descriptors Library (file link) (← links)
- Ullman's, C++, VF Library (file link) (← links)
- VF2, C++, VF Library (file link) (← links)
- VF2, C++, Boost Graph Library (file link) (← links)
- VF2, Python, NetworkX (file link) (← links)
- Disjoint set union, Boost Graph Library (file link) (← links)
- Disjoint set union, Java, JGraphT (file link) (← links)
- Tarjan's strongly connected components, C++, Boost Graph Library (file link) (← links)
- Tarjan's strongly connected components, Java, WebGraph (file link) (← links)
- Tarjan's strongly connected components, Java, JGraphT (file link) (← links)
- Tarjan's strongly connected components, Python, NetworkX (file link) (← links)
- Tarjan's strongly connected components, Python/C++, NetworKit (file link) (← links)
- DCSC for finding the strongly connected components, C++, MPI, Parallel Boost Graph Library (file link) (← links)
- Tarjan's biconnected components, C++, Boost Graph Library (file link) (← links)
- Tarjan's biconnected components, Python, NetworkX (file link) (← links)
- Tarjan's biconnected components, Java, JGraphT (file link) (← links)
- Tarjan-Vishkin biconnected components, scalability (file link) (← links)
- Ford–Fulkerson, C++, Boost Graph Library (file link) (← links)
- Ford–Fulkerson, Python, NetworkX (file link) (← links)
- Ford–Fulkerson, Java, JGraphT (file link) (← links)
- Preflow-Push, C++, Boost Graph Library (file link) (← links)
- Preflow-Push, Python, NetworkX (file link) (← links)
- Hungarian, Java, JGraphT (file link) (← links)
- Hopcroft–Karp, Java, JGraphT (file link) (← links)
- Longest shortest path, Java, WebGraph (file link) (← links)
- Longest shortest path, Python/C++, NetworKit (file link) (← links)
- DFS, C++, Boost Graph Library (file link) (← links)
- DFS, C++, MPI, Parallel Boost Graph Library (file link) (← links)
- DFS, Python, NetworkX (file link) (← links)
- Lanczos, MPI, OpenMP (file link) (← links)
- Lanczos, C++, MPI (file link) (← links)
- Lanczos, C++, MPI, 2 (file link) (← links)
- Lanczos, C, MPI (file link) (← links)
- Lanczos, C++, MPI, 3 (file link) (← links)
- One step of the dqds, LAPACK (file link) (← links)
- Horners, locality (file link) (← links)
- Dense matrix-vector multiplication, locality (file link) (← links)
- Dense matrix-vector multiplication, scalability (file link) (← links)
- Dense matrix multiplication, locality (file link) (← links)
- Dense matrix multiplication, scalability (file link) (← links)
- Pairwise summation of numbers, locality (file link) (← links)
- Pairwise summation of numbers, scalability (file link) (← links)
- Uniform norm of a vector, locality (file link) (← links)
- Dot product, locality (file link) (← links)
- Dot product, scalability (file link) (← links)
- The serial-parallel summation method, locality (file link) (← links)
- The serial-parallel summation method, scalability (file link) (← links)
- LU decomposition via Gaussian elimination, locality (file link) (← links)
- LU decomposition via Gaussian elimination, scalability (file link) (← links)
- Givens method, locality (file link) (← links)
- Householder (reflections) method for the QR decomposition, locality (file link) (← links)
- Householder (reflections) method for the QR decomposition, SCALAPACK (file link) (← links)
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, locality (file link) (← links)
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, SCALAPACK (file link) (← links)
- Householder (reflections) reduction of a matrix to bidiagonal form, locality (file link) (← links)
- Householder (reflections) reduction of a matrix to bidiagonal form, SCALAPACK (file link) (← links)
- HPCG, locality (file link) (← links)
- HPCG, scalability (file link) (← links)
- BiCGStab, MIT (file link) (← links)
- BiCGStab, HYPRE (file link) (← links)
- BiCGStab, NVIDIA AmgX (file link) (← links)
- Kaczmarz's, MATLAB1 (file link) (← links)
- Kaczmarz's, MATLAB2 (file link) (← links)
- Kaczmarz's, MATLAB3 (file link) (← links)
- Linpack, locality (file link) (← links)
- Linpack, HPL (file link) (← links)
- Thomas algorithm, locality (file link) (← links)
- Thomas, locality (file link) (← links)
- Repeated Thomas, locality (file link) (← links)
- Two-sided Thomas, locality (file link) (← links)
- Repeated two-sided Thomas, locality (file link) (← links)
- Complete cyclic reduction, locality (file link) (← links)
- Complete cyclic reduction, scalability (file link) (← links)
- Backward substitution, locality (file link) (← links)
- Backward substitution, scalability (file link) (← links)
- Binary search, locality (file link) (← links)
- Binary search, С (file link) (← links)
- Binary search, C++ (file link) (← links)
- Binary search, Java (file link) (← links)
- Binary search, .NET Framework 2.0 (file link) (← links)
- Binary search, Python (file link) (← links)
- Single-qubit transform of a state vector, locality (file link) (← links)
- Single-qubit transform of a state vector, scalability (file link) (← links)
- K-means clustering, scalability1 (file link) (← links)
- K-means clustering, scalability2 (file link) (← links)
- K-means clustering, scalability3 (file link) (← links)
- K-means clustering, scalability4 (file link) (← links)
- K-means clustering, CrimeStat (file link) (← links)
- K-means clustering, Julia (file link) (← links)
- K-means clustering, Apache Mahout (file link) (← links)
- K-means clustering, Octave (file link) (← links)
- K-means clustering, Spark (file link) (← links)
- K-means clustering, Torch (file link) (← links)
- K-means clustering, Weka (file link) (← links)
- K-means clustering, Accord.NET (file link) (← links)
- K-means clustering, OpenCV (file link) (← links)
- K-means clustering, MLPACK (file link) (← links)
- K-means clustering, SciPy (file link) (← links)
- K-means clustering, scikit-learn (file link) (← links)
- K-means clustering, R (file link) (← links)
- K-means clustering, ELKI (file link) (← links)
- K-means clustering, Ayasdi (file link) (← links)
- K-means clustering, Stata (file link) (← links)
- K-means clustering, Mathematica (file link) (← links)
- K-means clustering, MATLAB (file link) (← links)
- K-means clustering, SAS (file link) (← links)
- K-means clustering, RapidMiner (file link) (← links)
- K-means clustering, SAP HANA (file link) (← links)
- Face recognition, scalability (file link) (← links)
- SDDP, scalability (file link) (← links)
- Newton's method for systems of nonlinear equations, scalability1 (file link) (← links)
- Newton's method for systems of nonlinear equations, scalability2 (file link) (← links)
- Newton's method for systems of nonlinear equations, scalability3 (file link) (← links)
- Newton's method for systems of nonlinear equations, scalability4 (file link) (← links)
- Newton's method for systems of nonlinear equations, ALIAS C++ (file link) (← links)
- Newton's method for systems of nonlinear equations, Numerical Recipes (file link) (← links)
- Newton's method for systems of nonlinear equations, Sundials (file link) (← links)
- Newton's method for systems of nonlinear equations, Numerical Mathematics - NewtonLib (file link) (← links)
- Newton's method for systems of nonlinear equations, PETSc (file link) (← links)
- Newton's method for systems of nonlinear equations, parallel1 (file link) (← links)
- Newton's method for systems of nonlinear equations, parallel2 (file link) (← links)
- Newton's method for systems of nonlinear equations, parallel3 (file link) (← links)
- Numerical quadrature (cubature) rules on an interval (for a multidimensional cube), scalability (file link) (← links)
- Poisson equation, solving with DFT, locality (file link) (← links)
- Poisson equation, solving with DFT, scalability (file link) (← links)
- Poisson equation, solving with DFT, FFTW (file link) (← links)
- Poisson equation, solving with DFT, FFTE (file link) (← links)
- Poisson equation, solving with DFT, P3DFFT (file link) (← links)
- Poisson equation, solving with DFT, cuFFT (file link) (← links)
- Poisson equation, solving with DFT, AccFFT (file link) (← links)
- Poisson equation, solving with DFT, MKL FFT (file link) (← links)
- Poisson equation, solving with DFT, PFFT (file link) (← links)
- Meet-in-the-middle attack, scalability (file link) (← links)
- Meet-in-the-middle attack, implementation1 (file link) (← links)
- Meet-in-the-middle attack, implementation2 (file link) (← links)
- Meet-in-the-middle attack, implementation3 (file link) (← links)
- BFS, VGL (file link) (← links)
- Dijkstra, VGL, push (file link) (← links)
- Dijkstra, VGL, pull (file link) (← links)
- HITS, VGL (file link) (← links)
- PageRank, VGL (file link) (← links)