Sparse Matrix Classes

SourcePro : Linear Algebra Module User’s Guide : Class Overview : Class Groups of the Linear Algebra Module : Sparse Matrix Classes

The Linear Algebra Module classes represent a variety of matrix types, including: general, dense symmetric, skew symmetric, Hermitian, banded, symmetric banded, Hermitian banded, upper-triangular, lower-triangular, and tridiagonal. These classes are contained in Table 2.

Table 2 – The Sparse Matrix Classes
Class Name	Type	Header Files
RWBandMat<T>	A banded matrix. A banded matrix is nonzero only near the diagonal.	rw/lapack/bandmat.h
RWHermBandMat<T>	A Hermitian banded matrix. A Hermitian banded matrix is Hermitian, and nonzero only near the diagonal.	rw/lapack/hbndmat.h
RWHermMat<T>	A Hermitian dense matrix. A Hermitian matrix is defined by the requirement that Aij = conj(Aji).	rw/lapack/hermmat.h
RWLowerTriMat<T>	A lower triangular matrix. A lower triangular matrix is 0 above the diagonal.	rw/lapack/ltrimat.h
RWSkewMat<T>	A skew symmetric matrix.	rw/lapack/skewmat.h
RWSymBandMat<T>	A symmetric band matrix. A symmetric banded matrix is symmetric, and nonzero only near the diagonal.	rw/lapack/sbndmat.h
RWSymMat<T>	A symmetric matrix. A symmetric matrix is defined by the requirement that Aij = Aji, so a symmetric matrix is equal to its transpose.	rw/lapack/symmat.h
RWTriDiagMat<T>	A tridiagonal matrix. A tridiagonal matrix is nonzero only on the diagonal, the subdiagonal, and the superdiagonal.	rw/lapack/trdgmat.h
RWUpperTriMat<T>	An upper triangular matrix. An upper triangular matrix is 0 below the diagonal.	rw/lapack/utrimat.h