| Class and Description |
|---|
| CholeskyDecomposition
Cholesky decomposition for
DenseMatrix64F. |
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| TridiagonalSimilarDecomposition
Finds the decomposition of a matrix in the form of:
A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| QRDecomposition
QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
|
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| Class and Description |
|---|
| BidiagonalDecomposition
Computes a matrix decomposition such that:
A = U*B*VT where A is m by n, U is orthogonal and m by m, B is an m by n bidiagonal matrix, V is orthogonal and n by n. |
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| Class and Description |
|---|
| CholeskyDecomposition
Cholesky decomposition for
DenseMatrix64F. |
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| EigenDecomposition
This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
|
| TridiagonalSimilarDecomposition
Finds the decomposition of a matrix in the form of:
A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| TridiagonalSimilarDecomposition
Finds the decomposition of a matrix in the form of:
A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| LUDecomposition
LU Decomposition refactors the original matrix such that:
PT*L*U = A
where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is
the original matrix. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| QRDecomposition
QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
|
| QRPDecomposition
Similar to
QRDecomposition but it can handle the rank deficient case by
performing column pivots during the decomposition. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| SingularValueDecomposition
This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined
as:
A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix. |
| Class and Description |
|---|
| QRDecomposition
QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
|
| QRPDecomposition
Similar to
QRDecomposition but it can handle the rank deficient case by
performing column pivots during the decomposition. |
| Class and Description |
|---|
| CholeskyDecomposition
Cholesky decomposition for
DenseMatrix64F. |
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| EigenDecomposition
This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
|
| LUDecomposition
LU Decomposition refactors the original matrix such that:
PT*L*U = A
where P is a pivot matrix, L is a lower triangular matrix, U is an upper triangular matrix and A is
the original matrix. |
| QRDecomposition
QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
|
| QRPDecomposition
Similar to
QRDecomposition but it can handle the rank deficient case by
performing column pivots during the decomposition. |
| SingularValueDecomposition
This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined
as:
A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix. |
| TridiagonalSimilarDecomposition
Finds the decomposition of a matrix in the form of:
A = O*T*OT where A is a symmetric m by m matrix, O is an orthogonal matrix, and T is a tridiagonal matrix. |
| Class and Description |
|---|
| DecompositionInterface
An interface for performing matrix decompositions on a
DenseMatrix64F. |
| QRDecomposition
QR decompositions decompose a rectangular matrix 'A' such that 'A=QR'.
|
| Class and Description |
|---|
| EigenDecomposition
This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
|
| SingularValueDecomposition
This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined
as:
A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix. |
| Class and Description |
|---|
| EigenDecomposition
This is a generic interface for computing the eigenvalues and eigenvectors of a matrix.
|
| SingularValueDecomposition
This is an abstract class for computing the singular value decomposition (SVD) of a matrix, which is defined
as:
A = U * W * V T where A is m by n, and U and V are orthogonal matrices, and W is a diagonal matrix. |
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