matrix.csr.chol-class {SparseM} | R Documentation |

## Class "matrix.csr.chol"

### Description

A class of objects returned from Ng and Peyton's (1993) block
sparse Cholesky algorithm

### Objects from the Class

Objects can be created by calls of the form `new("matrix.csr.chol", ...)`

.

### Slots

`nrow`

:- Object of class
`integer`

, number of rows in the linear system of equations
`nnzlindx`

:- Object of class
`numeric`

, number of non-zero elements in lindx
`nsuper`

:- Object of class
`integer`

, number of supernodes
`lindx`

:- Object of class
`integer`

, vector of integer
containing, in column major order, the row subscripts of the non-zero entries
in the Cholesky factor in a compressed storage format
`xlindx`

:- Object of class
`integer`

, vector of integer of pointers for lindx
`nnzl`

:- Object of class
`numeric`

, number of non-zero
entries, including the diagonal entries, of the Cholesky factor stored in lnz
`lnz`

:- Object of class
`numeric`

, contains the entries of the Cholesky factor
`xlnz`

:- Object of class
`integer`

, column pointer for the Cholesky factor stored in lnz
`invp`

:- Object of class
`integer`

, vector of integer of inverse permutation vector
`perm`

:- Object of class
`integer`

, vector of integer of permutation vector
`xsuper`

:- Object of class
`integer`

, array containing the supernode partioning
`det`

:- Object of class
`numeric`

, determinant of the Cholesky factor
`ierr`

:- Object of class
`integer`

, error flag
`time`

:- Object of class
`numeric`

execution time

### Methods

- backsolve
`signature(r = "matrix.csr.chol")`

: ...

### See Also

`chol`

, `backsolve`

[Package

*SparseM* version 0.54

Index]