| 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): ...