| 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:integer, number of rows in the linear system of equations nnzlindx:numeric, number of non-zero elements in lindxnsuper:integer, number of supernodeslindx: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:integer, vector of integer of pointers for lindxnnzl:numeric, number of non-zero
entries, including the diagonal entries, of the Cholesky factor stored in lnzlnz:numeric, contains the entries of the Cholesky factor xlnz:integer, column pointer for the Cholesky factor stored in lnzinvp:integer, vector of integer of inverse permutation vectorperm:integer, vector of integer of permutation vector xsuper:integer, array containing the supernode partioningdet:numeric, determinant of the Cholesky factorierr:integer, error flag time:numeric execution time signature(r = "matrix.csr.chol"): ...