Linear and multilinear algebra; matrix theory Special matrices Concept
Symmetric matrix
Summary
A symmetric matrix is a square matrix that is equal to its transpose.
Where this leads
20 pages build on this one.
- Derivation of the conjugate gradient method
- Cuthill–McKee algorithm
- Conjugate residual method
- Hypergeometric function of a matrix argument
- Minimal residual method
- Minimum degree algorithm
- Lanczos algorithm
- Discrete-time algebraic Riccati equation
- Generalized minimal residual method
- Algebraic Riccati equation
- Divide-and-conquer eigenvalue algorithm
- Arnoldi iteration
- Riccati differential equation of optimal control
- Classification of second-order PDEs
- Jacobi eigenvalue algorithm
- Biconjugate gradient stabilized method
- Cluster analysis
- LOBPCG
- Multidimensional scaling
- Rayleigh quotient iteration
Further reading
- Web https://en.wikipedia.org/wiki/Symmetric_matrix, lead section
About this page
| Tag | 0VR671PHE5 |
|---|---|
| URI | m2://0VR671PHE5 |
| Kind | concept |
| Writing | W1 stated |
| MSC | 15A99, 15B57 |
| Specializes | Square matrix |
| Same as |
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What this page needs for W2
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- edge not_instance_of in: at least one non-example (0 of 1)
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What links here
Definitions
Used by
- Cuthill–McKee algorithm
- Hypergeometric function of a matrix argument
- Minimal residual method
- Lanczos algorithm
- Discrete-time algebraic Riccati equation
- Algebraic Riccati equation
- Divide-and-conquer eigenvalue algorithm
- Riccati differential equation of optimal control
- Classification of second-order PDEs
- Jacobi eigenvalue algorithm
- Cluster analysis
- LOBPCG
- Multidimensional scaling
- Rayleigh quotient iteration