User:Amatdiou/Books/Numerical linear algebra
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Numerical linear algebra
[edit]- Category
- Numerical linear algebra
- Numerical linear algebra
- ABS methods
- Arnoldi iteration
- Walter Edwin Arnoldi
- Automatically Tuned Linear Algebra Software
- Backfitting algorithm
- Bareiss algorithm
- Basic Linear Algebra Subprograms
- Basis function
- Biconjugate gradient method
- Biconjugate gradient stabilized method
- Bidiagonalization
- Block Lanczos algorithm
- Block matrix pseudoinverse
- Block Wiedemann algorithm
- BLOPEX
- Cannon's algorithm
- Chebyshev iteration
- Cholesky decomposition
- Circulant matrix
- Conjugate gradient method
- Conjugate residual method
- Convergent matrix
- Coppersmith–Winograd algorithm
- Derivation of the conjugate gradient method
- Diagonally dominant matrix
- DIIS
- Divide-and-conquer eigenvalue algorithm
- Eigenvalue algorithm
- EISPACK
- Folded spectrum method
- Freivalds' algorithm
- Frontal solver
- Gauss–Seidel method
- Gaussian elimination
- Generalized minimal residual method
- Givens rotation
- GotoBLAS
- Gradient method
- Hilbert matrix
- Householder operator
- Householder transformation
- Hypre
- In-place matrix transposition
- Incomplete Cholesky factorization
- Incomplete LU factorization
- Inverse iteration
- Iterative refinement
- Jacket (software)
- Jacobi eigenvalue algorithm
- Jacobi method
- Jacobi method for complex Hermitian matrices
- Jacobi rotation
- Julia (programming language)
- Kaczmarz method
- Kernel (linear algebra)
- Krylov subspace
- Lanczos algorithm
- LAPACK
- Linear least squares (mathematics)
- LINPACK
- Lis (linear algebra library)
- LOBPCG
- Low-rank approximation
- LU decomposition
- LU reduction
- Math Kernel Library
- MATLAB
- Matrix multiplication
- Matrix splitting
- Matrix-free methods
- Method of Four Russians
- Minimum degree algorithm
- Modal analysis using FEM
- Modified Richardson iteration
- Moore–Penrose pseudoinverse
- Nested dissection
- Pivot element
- Portable, Extensible Toolkit for Scientific Computation
- Power iteration
- Preconditioner
- Pseudospectrum
- QR algorithm
- QR decomposition
- Rayleigh quotient iteration
- Relaxation (iterative method)
- Row echelon form
- RRQR factorization
- Singular value decomposition
- SLEPc
- Sparse approximation
- Speakeasy (computational environment)
- SPIKE algorithm
- Stieltjes matrix
- Stone method
- Strassen algorithm
- Successive over-relaxation
- Symmetric successive overrelaxation
- System of linear equations
- Triangular matrix
- Tridiagonal matrix algorithm
- Vandermonde matrix
- Wilkinson matrix
- Category
- Exchange algorithms
- Bland's rule
- Criss-cross algorithm
- Greedy algorithm
- Simplex algorithm
- Category
- Matrix decompositions
- Block LU decomposition
- Crout matrix decomposition
- Dynamic mode decomposition
- Eigendecomposition of a matrix
- Jordan normal form
- Jordan–Chevalley decomposition
- Matrix decomposition
- Polar decomposition
- Principal component analysis
- Rank factorization
- Schur decomposition
- Symbolic Cholesky decomposition
- Category
- Singular value decomposition
- Blind signal separation
- Eigenvalues and eigenvectors
- Generalized singular value decomposition
- Gene H. Golub
- Ervand Kogbetliantz
- Non-linear iterative partial least squares
- Normal mode
- Orthogonal Procrustes problem
- Schmidt decomposition
- Singular value
- Spectral theorem
- Two-dimensional singular value decomposition
- Category
- Relaxation (iterative methods)
- Category
- Sparse matrices
- Anti-diagonal matrix
- Band matrix
- Bidiagonal matrix
- Block matrix
- Cuthill–McKee algorithm
- Diagonal matrix
- Generalized permutation matrix
- Identity matrix
- Pentadiagonal matrix
- Permutation matrix
- Reverse Cuthill-McKee algorithm
- Shear matrix
- Shift matrix
- Single-entry matrix
- Skyline matrix
- Sparse matrix
- Tridiagonal matrix
- Zero matrix