Eigenvalue decomposition for distributed matrices with R-like syntax, with calculations performed by the PBLAS and ScaLAPACK libraries.

```
# S4 method for ddmatrix
eigen(x, symmetric, only.values = FALSE,
EISPACK = FALSE)
```

x

numeric distributed matrices.

symmetric

logical, if `TRUE`

then the matrix is assumed to be
symmetric and only the lower triangle is used. Otherwise `x`

is
inspected for symmetry.

only.values

logical, if `TRUE`

then only the eigenvalues are
returned. Otherwise both eigenvalues and eigenvectors are returned.

EISPACK

Ignored.

`eigen()`

computes the eigenvalues, and eigenvectors if requested. As

Extensions of R linear algebra functions.