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See:
Description
Interface Summary | |
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Matrix | Basic matrix interface. |
MatrixEntry | An entry of a matrix. |
Vector | Basic vector interface. |
VectorEntry | An entry of a vector. |
Class Summary | |
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AbstractMatrix | Partial implementation of Matrix . |
AbstractVector | Partial implementation of Vector . |
BandCholesky | Banded Cholesky decomposition |
BandLU | Banded LU decomposition |
BandMatrix | Banded matrix. |
DenseCholesky | Dense Cholesky decomposition |
DenseLU | Dense LU decomposition FIXME: DenseLU is broken! Fix it |
DenseMatrix | Dense matrix. |
DenseVector | Dense vector. |
EVD | Computes eigenvalue decompositions of general matrices |
GivensRotation | Givens plane rotation |
LowerSPDBandMatrix | Lower symmetrical positive definite banded matrix. |
LowerSPDDenseMatrix | Lower symmetrical positive definite dense matrix. |
LowerSPDPackMatrix | Lower symmetrical positive definite packed matrix. |
LowerSymmBandMatrix | Lower symmetrical banded matrix. |
LowerSymmDenseMatrix | Lower symmetric dense matrix. |
LowerSymmPackMatrix | Lower symmetric packed matrix. |
LowerTriangBandMatrix | Lower triangular banded matrix. |
LowerTriangDenseMatrix | Lower triangular dense matrix. |
LowerTriangPackMatrix | Lower triangular packed matrix. |
LQ | Computes LQ decompositions |
Matrices | Static utility methods for matrices and vectors |
PackCholesky | Packed Cholesky decomposition |
QL | Computes QL decompositions |
QR | Computers QR decompositions |
QRP | Computes QR decompositions with column pivoting:
A*P = Q*R where
A(m,n) , Q(m,m) , and R(m,n) , more generally:
A*P = [Q1 Q2] * [R11, R12; 0 R22] and R22 elements are
negligible. |
RQ | Computes RQ decompositions |
SPDTridiagMatrix | Symmetrical positive definite tridiagonal matrix. |
SVD | Computes singular value decompositions |
SymmBandEVD | Computes eigenvalues of symmetrical, banded matrices |
SymmDenseEVD | Computes eigenvalues of symmetrical, dense matrices |
SymmPackEVD | Computes eigenvalues of symmetrical, packed matrices |
SymmTridiagEVD | Computes eigenvalues of symmetrical, tridiagonal matrices |
SymmTridiagMatrix | Symmetrical tridiagonal matrix. |
TridiagMatrix | Tridiagonal matrix. |
UnitLowerTriangBandMatrix | Unit lower triangular banded matrix. |
UnitLowerTriangDenseMatrix | Unit lower triangular dense matrix. |
UnitLowerTriangPackMatrix | Unit lower triangular packed matrix. |
UnitUpperTriangBandMatrix | Unit upper triangular banded matrix. |
UnitUpperTriangDenseMatrix | Unit upper triangular dense matrix. |
UnitUpperTriangPackMatrix | Unit upper triangular packed matrix. |
UpperSPDBandMatrix | Upper symmetrical positive definite banded matrix. |
UpperSPDDenseMatrix | Upper symmetrical positive definite dense matrix. |
UpperSPDPackMatrix | Upper symmetrical positive definite packed matrix. |
UpperSymmBandMatrix | Upper symmetrical banded matrix. |
UpperSymmDenseMatrix | Upper symmetrix dense matrix. |
UpperSymmPackMatrix | Upper symmetric packed matrix. |
UpperTriangBandMatrix | Upper triangular banded matrix. |
UpperTriangDenseMatrix | Upper triangular dense matrix. |
UpperTriangPackMatrix | Upper triangular packed matrix. |
Enum Summary | |
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Matrix.Norm | Supported matrix-norms. |
NotConvergedException.Reason | Possible reasons for lack of convergence |
Vector.Norm | Supported vector-norms. |
Exception Summary | |
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MatrixNotSPDException | Matrix is not symmetrical, positive definite |
MatrixSingularException | Matrix is singular |
NotConvergedException | Signals lack of convergence of an iterative process |
Dense and structured sparse matrices, along with matrix factorisations and solvers. The main components are:
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