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SparseM (version 1.7)

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