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Showing below up to 50 results in range #151 to #200.
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- 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)
- 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)
- Boruvka's, scalability (1 revision)
- Face recognition, scalability (1 revision)
- Binary search, .NET Framework 2.0 (1 revision)
- Triangular decompositions (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)
- 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)
- 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)
- Binary search, C++ (1 revision)
- Dot product, locality (1 revision)
- K-means clustering, Weka (1 revision)
