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% CHOLMOD: a sparse supernodal Cholesky update/downdate package
%
% cholmod x = cholmod (A,b), computes x=A\b when A is symmetric and
% positive definite, just faster
%
% chol2 same as MATLAB chol(sparse(A)), just faster
% lchol L = lchol (A) computes an LL' factorization
% ldlchol LD = ldlchol (A) computes an LDL' factorization
%
% ldlupdate LD = ldlupdate (LD,C,...) updates an LDL' factorization
% resymbol L = resymbol (L,A) recomputes symbolic LL or LDL' factorization
% ldlsolve x = ldlsolve (LD,b) solves Ax=b using an LDL' factorization
% ldlsplit [L,D] = ldlsplit (LD) splits LD into L and D.
%
% metis interface to METIS node-nested-dissection
% nesdis interface to CHOLMOD's nested-dissection (based on METIS)
% bisect interface to METIS' node bisector
% analyze order and analyze using CHOLMOD
%
% etree2 same as MATLAB "etree", just faster and more reliable
% sparse2 same as MATLAB "sparse", just faster
% symbfact2 same as MATLAB "symbfact", just faster and more reliable
%
% sdmult same as MATLAB S*F or S'*F (S sparse, F full), just faster
%
% ldl_normest err = ldl_normest (A,L,D), error in LDL' factorization
% lu_normest err = lu_normest (A,L,U), error in LU factorization
% cholmod_demo test CHOLMOD with random sparse matrices
% Test directory for testing CHOLMOD with UF sparse matrix collection
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