|
Accord.Math.Decompositions Namespace |
Contains numerical decompositions such as QR,
SVD, LU,
Cholesky, and
NMF with specialized definitions for most .NET data types: float, double, and decimals.
Classes| Class | Description | |
|---|---|---|
 | CholeskyDecomposition |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| CholeskyDecompositionD |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| CholeskyDecompositionF |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| EigenvalueDecomposition |
Determines the eigenvalues and eigenvectors of a real square matrix.
|
| EigenvalueDecompositionF |
Determines the eigenvalues and eigenvectors of a real square matrix.
|
 | GeneralizedEigenvalueDecomposition |
Determines the Generalized eigenvalues and eigenvectors of two real square matrices.
|
| GramSchmidtOrthogonalization |
Gram-Schmidt Orthogonalization.
|
| JaggedCholeskyDecomposition |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| JaggedCholeskyDecompositionD |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| JaggedCholeskyDecompositionF |
Cholesky Decomposition of a symmetric, positive definite matrix.
|
| JaggedEigenvalueDecomposition |
Determines the eigenvalues and eigenvectors of a real square matrix.
|
| JaggedEigenvalueDecompositionF |
Determines the eigenvalues and eigenvectors of a real square matrix.
|
| JaggedGeneralizedEigenvalueDecomposition |
Determines the Generalized eigenvalues and eigenvectors of two real square matrices.
|
| JaggedLuDecomposition |
LU decomposition of a jagged rectangular matrix.
|
| JaggedLuDecompositionD |
LU decomposition of a jagged rectangular matrix.
|
| JaggedLuDecompositionF |
LU decomposition of a jagged rectangular matrix.
|
| JaggedQrDecomposition |
QR decomposition for a rectangular matrix.
|
| JaggedQrDecompositionD |
QR decomposition for a rectangular matrix.
|
| JaggedQrDecompositionF |
QR decomposition for a rectangular matrix.
|
| JaggedSingularValueDecomposition |
Singular Value Decomposition for a rectangular matrix.
|
| JaggedSingularValueDecompositionD |
Singular Value Decomposition for a rectangular matrix.
|
| JaggedSingularValueDecompositionF |
Singular Value Decomposition for a rectangular matrix.
|
| LuDecomposition |
LU decomposition of a multidimensional rectangular matrix.
|
| LuDecompositionD |
LU decomposition of a multidimensional rectangular matrix.
|
| LuDecompositionF |
LU decomposition of a multidimensional rectangular matrix.
|
| NonnegativeMatrixFactorization |
Nonnegative Matrix Factorization.
|
| QrDecomposition |
QR decomposition for a rectangular matrix.
|
| QrDecompositionD |
QR decomposition for a rectangular matrix.
|
| QrDecompositionF |
QR decomposition for a rectangular matrix.
|
| SingularValueDecomposition |
Singular Value Decomposition for a rectangular matrix.
|
| SingularValueDecompositionD |
Singular Value Decomposition for a rectangular matrix.
|
| SingularValueDecompositionF |
Singular Value Decomposition for a rectangular matrix.
|
Interfaces| Interface | Description | |
|---|---|---|
 | ISolverArrayDecompositionT |
Common interface for matrix decompositions which
can be used to solve linear systems of equations
involving jagged array matrices.
|
| ISolverMatrixDecompositionT |
Common interface for matrix decompositions which
can be used to solve linear systems of equations.
|
RemarksThe namespace class diagram is shown below.
See Also