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 equationsnnzlindx
:Object of class
numeric
, number of non-zero elements in lindxnsuper
:Object of class
integer
, number of supernodeslindx
: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 formatxlindx
:Object of class
integer
, vector of integer of pointers for lindxnnzl
:Object of class
numeric
, number of non-zero entries, including the diagonal entries, of the Cholesky factor stored in lnzlnz
:Object of class
numeric
, contains the entries of the Cholesky factorlog.det
:Object of class
numeric
, log determinant of the Cholesky factorxlnz
:Object of class
integer
, column pointer for the Cholesky factor stored in lnzinvp
:Object of class
integer
, vector of integer of inverse permutation vectorperm
:Object of class
integer
, vector of integer of permutation vectorxsuper
:Object of class
integer
, array containing the supernode partioningdet
:Object of class
numeric
, determinant of the Cholesky factorierr
:Object of class
integer
, error flagtime
:Object of class
numeric
execution time
Methods
- backsolve
signature(r = "matrix.csr.chol")
: ...- as.matrix.csr
signature(x = "matrix.csr.chol", upper.tri=TRUE)
: ...