SYM |
Real symmetric eigenvalue problems, |

NONSYM |
Real non-symmetric eigenvalue problems, |

COMPLEX |
Complex eigenvalue problems, |

BAND |
Eigenvalue problems in which matrices |

are stored in LAPACK band form, | |

SVD |
Singular value decomposition (SVD) problems. |

This Appendix provides some guidance on deciding which driver to select and how to use it effectively. In order to aid the process of building a user's application code from these drivers, we discuss the necessary steps to be followed to use these drivers as templates and modify them appropriately. These steps may be summarized as follows:

- Selecting an appropriate driver.
- Identifying and constructing the linear operator
`OP`and the matrix`B`used in a driver. - Substituting the constructed linear operator
`OP`and the matrix`B`in the reverse communication interface. - Modifying the problem dependent variables.
- Checking the accuracy of the computed results.

- Symmetric Drivers
- Real Nonsymmetric Drivers
- Complex Drivers
- Band Drivers
- The Singular Value Decomposition