Reviewed pages
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This lists contains reviewed pages whose highest attained review level (of a revision) is the specified level. A link is given to the latest revision of that level.
(first | last) View (previous 50 | next 50) (20 | 50 | 100 | 250 | 500)- Lanczos, C++, MPI, 3 (84 bytes) (reviewed versions) [best revision]
- One step of the dqds, LAPACK (4,696 bytes) (reviewed versions) [best revision]
- Horners, locality (5,792 bytes) (reviewed versions) [best revision]
- Dense matrix-vector multiplication, locality (108 bytes) (reviewed versions) [best revision]
- Dense matrix multiplication, locality (9,363 bytes) (reviewed versions) [best revision]
- Dense matrix multiplication, scalability (3,550 bytes) (reviewed versions) [best revision]
- Pairwise summation of numbers, locality (103 bytes) (reviewed versions) [best revision]
- Pairwise summation of numbers, scalability (106 bytes) (reviewed versions) [best revision]
- Uniform norm of a vector, locality (98 bytes) (reviewed versions) [best revision]
- Dot product, locality (3,730 bytes) (reviewed versions) [best revision]
- Dot product, scalability (3,105 bytes) (reviewed versions) [best revision]
- The serial-parallel summation method, locality (3,524 bytes) (reviewed versions) [best revision]
- The serial-parallel summation method, scalability (3,552 bytes) (reviewed versions) [best revision]
- LU decomposition via Gaussian elimination, locality (7,632 bytes) (reviewed versions) [best revision]
- LU decomposition via Gaussian elimination, scalability (3,407 bytes) (reviewed versions) [best revision]
- Givens method, locality (3,509 bytes) (reviewed versions) [best revision]
- Householder (reflections) method for the QR decomposition, locality (131 bytes) (reviewed versions) [best revision]
- Householder (reflections) method for the QR decomposition, SCALAPACK (132 bytes) (reviewed versions) [best revision]
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, locality (5,336 bytes) (reviewed versions) [best revision]
- Householder (reflections) method for reducing a symmetric matrix to tridiagonal form, SCALAPACK (7,498 bytes) (reviewed versions) [best revision]
- Householder (reflections) reduction of a matrix to bidiagonal form, locality (140 bytes) (reviewed versions) [best revision]
- Householder (reflections) reduction of a matrix to bidiagonal form, SCALAPACK (141 bytes) (reviewed versions) [best revision]
- HPCG, locality (78 bytes) (reviewed versions) [best revision]
- HPCG, scalability (81 bytes) (reviewed versions) [best revision]
- BiCGStab, MIT (77 bytes) (reviewed versions) [best revision]
- BiCGStab, HYPRE (79 bytes) (reviewed versions) [best revision]
- BiCGStab, NVIDIA AmgX (85 bytes) (reviewed versions) [best revision]
- Kaczmarz's, MATLAB1 (83 bytes) (reviewed versions) [best revision]
- Kaczmarz's, MATLAB2 (83 bytes) (reviewed versions) [best revision]
- Kaczmarz's, MATLAB3 (83 bytes) (reviewed versions) [best revision]
- Linpack, locality (6,582 bytes) (reviewed versions) [best revision]
- Linpack, HPL (4,026 bytes) (reviewed versions) [best revision]
- Thomas algorithm, locality (8,498 bytes) (reviewed versions) [best revision]
- Thomas, locality (8,488 bytes) (reviewed versions) [best revision]
- Repeated Thomas, locality (89 bytes) (reviewed versions) [best revision]
- Two-sided Thomas, locality (9,199 bytes) (reviewed versions) [best revision]
- Repeated two-sided Thomas, locality (99 bytes) (reviewed versions) [best revision]
- Complete cyclic reduction, locality (99 bytes) (reviewed versions) [best revision]
- Complete cyclic reduction, scalability (102 bytes) (reviewed versions) [best revision]
- Backward substitution, locality (7,648 bytes) (reviewed versions) [best revision]
- Backward substitution, scalability (98 bytes) (reviewed versions) [best revision]
- Binary search, locality (87 bytes) (reviewed versions) [best revision]
- Binary search, С (81 bytes) (reviewed versions) [best revision]
- Binary search, C++ (82 bytes) (reviewed versions) [best revision]
- Binary search, Java (83 bytes) (reviewed versions) [best revision]
- Binary search, .NET Framework 2.0 (97 bytes) (reviewed versions) [best revision]
- Binary search, Python (85 bytes) (reviewed versions) [best revision]
- Single-qubit transform of a state vector, locality (6,157 bytes) (reviewed versions) [best revision]
- Single-qubit transform of a state vector, scalability (5,789 bytes) (reviewed versions) [best revision]
- K-means clustering, scalability1 (96 bytes) (reviewed versions) [best revision]