matrix.csr.chol-class {SparseM} | R Documentation |
A class of objects returned from Ng and Peyton's (1993) block sparse Cholesky algorithm
Objects can be created by calls of the form new("matrix.csr.chol", ...)
.
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
signature(r = "matrix.csr.chol")
: ...
signature(x = "matrix.csr.chol", upper.tri=TRUE)
: ...