SparseM (version 1.77)

matrix.csr.chol-class: Class "matrix.csr.chol"

Description

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

Arguments

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

log.det:

Object of class numeric, log determinant 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"): ...

as.matrix.csr

signature(x = "matrix.csr.chol", upper.tri=TRUE): ...

See Also

chol, backsolve