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Generalized Symmetric Definite Eigenproblems (GSEP)
Drivers are provided to compute all the eigenvalues and
(optionally) the eigenvectors of the following types of problems:



where and are symmetric or Hermitian and is positive definite.
For all these problems the eigenvalues are real. The matrices
of computed eigenvectors satisfy
(problem types 1 and 3) or
(problem type 2), where is a diagonal matrix
with the eigenvalues
on the diagonal. also satisfies
(problem types 1 and 2) or
(problem type 3).
There are three types of driver routines for generalized symmetric and
Hermitian eigenproblems. Originally LAPACK had just the simple and expert
drivers described below, and the third driver was added after an improved algorithm
was discovered.
 a simple driver (name ending GV)
computes all the eigenvalues and (optionally) eigenvectors.
 an expert driver
(name ending GVX) computes
all or a selected subset of the eigenvalues and (optionally) eigenvectors.
If few enough eigenvalues or eigenvectors are desired, the expert driver
is faster than the simple driver.
 a divideandconquer driver
(name ending GVD) solves the
same problem as the simple driver. It is much faster than the simple
driver for large matrices, but uses more workspace. The name
divideandconquer refers to the underlying
algorithm (see sections 2.4.4 and 3.4.3 in the LAPACK Users'
Guide[1]).
Different driver routines are provided to take advantage of special
structure or storage of the matrices and , as shown in
Table 2.6.
Next: Generalized Nonsymmetric Eigenproblems (GNEP)
Up: Generalized Eigenvalue and Singular
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Susan Blackford
20010819