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\par
\section{Prototypes and descriptions of {\tt ETree} methods}
\label{section:ETree:proto}
\par
This section contains brief descriptions including prototypes
of all methods that belong to the {\tt ETree} object.
\par
\subsection{Basic methods}
\label{subsection:ETree:proto:basics}
\par
As usual, there are four basic methods to support object creation,
setting default fields, clearing any allocated data, and free'ing
the object.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_new ( void ) ;
\end{verbatim}
\index{ETree_new@{\tt ETree\_new()}}
This method simply allocates storage for the {\tt ETree} structure
and then sets the default fields by a call to
{\tt ETree\_setDefaultFields()}.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_setDefaultFields ( ETree *etree ) ;
\end{verbatim}
\index{ETree_setDefaultFields@{\tt ETree\_setDefaultFields()}}
This method sets the structure's fields are set to default values:
{\tt nfront = nvtx = 0}, {\tt tree = nodwghtsIV = bndwghtsIV =
vtxToFrontIV = NULL}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_clearData ( ETree *etree ) ;
\end{verbatim}
\index{ETree_clearData@{\tt ETree\_clearData()}}
This method clears data and releases any storage allocated by the
object.
If {\tt tree} is not {\tt NULL},
then {\tt Tree\_free(tree)} is called to free the {\tt Tree}
object.
It releases any storage held by the
{\tt nodwghtsIV}, {\tt bndwghtsIV}
and {\tt vtxToFrontIV} {\tt IV} objects
via calls to {\tt IV\_free()}.
It then sets the structure's default fields
with a call to {\tt ETree\_setDefaultFields()}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_free ( ETree *etree ) ;
\end{verbatim}
\index{ETree_free@{\tt ETree\_free()}}
This method releases any storage by a call to
{\tt ETree\_clearData()} then free's the storage for the
structure with a call to {\tt free()}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Instance methods}
\label{subsection:ETree:proto:instance}
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_nfront ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nfront@{\tt ETree\_nfront()}}
This method returns the number of fronts.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_nvtx ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nvtx@{\tt ETree\_nvtx()}}
This method returns the number of vertices.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
Tree * ETree_tree ( ETree *etree ) ;
\end{verbatim}
\index{ETree_tree@{\tt ETree\_tree()}}
This method returns a pointer to the {\tt Tree} object.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_root ( ETree *etree ) ;
\end{verbatim}
\index{ETree_root@{\tt ETree\_root()}}
This method returns the id of the root node.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->tree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_par ( ETree *etree ) ;
\end{verbatim}
\index{ETree_par@{\tt ETree\_par()}}
This method returns the pointer to the parent vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->tree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_fch ( ETree *etree ) ;
\end{verbatim}
\index{ETree_fch@{\tt ETree\_fch()}}
This method returns the pointer to the first child vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->tree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_sib ( ETree *etree ) ;
\end{verbatim}
\index{ETree_sib@{\tt ETree\_sib()}}
This method returns the pointer to the sibling vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->tree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_nodwghtsIV ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nodwghtsIV@{\tt ETree\_nodwghtsIV()}}
This method returns a pointer to the {\tt nodwghtsIV} object.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_nodwghts ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nodwghts@{\tt ETree\_nodwghts()}}
This method returns a pointer to the {\tt nodwghts} vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->nodwghtsIV} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_bndwghtsIV ( ETree *etree ) ;
\end{verbatim}
\index{ETree_bndwghtsIV@{\tt ETree\_bndwghtsIV()}}
This method returns a pointer to the {\tt bndwghtsIV} object.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_bndwghts ( ETree *etree ) ;
\end{verbatim}
\index{ETree_bndwghts@{\tt ETree\_bndwghts()}}
This method returns a pointer to the {\tt bndwghts} vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->bndwghtsIV} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_vtxToFrontIV ( ETree *etree ) ;
\end{verbatim}
\index{ETree_vtxToFrontIV@{\tt ETree\_vtxToFrontIV()}}
This method returns a pointer to the {\tt vtxToFrontIV} object.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int * ETree_vtxToFront ( ETree *etree ) ;
\end{verbatim}
\index{ETree_vtxToFront@{\tt ETree\_vtxToFront()}}
This method returns a pointer to the {\tt vtxToFront} vector.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt etree->vtxToFrontIV} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_frontSize ( ETree *etree, int J ) ;
\end{verbatim}
\index{ETree_frontSize@{\tt ETree\_frontSize()}}
This method returns the number of internal degrees of freedom
in front {\tt J}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if {\tt J} is out of range,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_frontBoundarySize ( ETree *etree, int J ) ;
\end{verbatim}
\index{ETree_frontBoundarySize@{\tt ETree\_frontBoundarySize()}}
This method returns the number of external or
boundary degrees of freedom in front {\tt J}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if {\tt J} is out of range,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_maxNindAndNent ( ETree *etree, int symflag,
int *pmaxnind, int *pmaxnent ) ;
\end{verbatim}
\index{ETree_maxNindAndNent@{\tt ETree\_maxNindAndNent()}}
This method fills
{\tt *pmaxnind} with the maximum number of
indices for a front (just column indices if symmetric front,
row and column indices if nonsymmetric front)
and {\tt *pmaxnent} with the maximum number of
entries for a front (just upper entries if symmetric front,
all entries if nonsymmetric front).
The {\tt symflag} parameter must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
The entries in the (2,2) block of the front are not counted.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Initializer methods}
\label{subsection:ETree:proto:initializers}
\par
There are four initializer methods.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_init1 ( ETree *etree, int nfront, int nvtx ) ;
\end{verbatim}
\index{ETree_init1@{\tt ETree\_init1()}}
This method initializes an {\tt ETree} object given the number of
fronts and number of vertices.
Any previous data is cleared with a call to
{\tt ETree\_clearData()},
The {\tt Tree} object is initialized with a call to {\tt Tree\_init1()}.
The {\tt nodwghtsIV}, {\tt bndwghtsIV} and {\tt vtxToFrontIV} objects
are initialized with calls to {\tt IV\_init()}.
The entries in {\tt nodwghtsIV} and {\tt bndwghtsIV} are set to {\tt 0},
while the entries in {\tt vtxToFrontIV} are set to {\tt -1}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL}, or if {\tt nfront} is negative,
or if {\tt nvtx < nfront},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_initFromGraph ( ETree *etree, Graph *g ) ;
\end{verbatim}
\index{ETree_initFromGraph@{\tt ETree\_initFromGraph()}}
This method generates an elimination tree from a graph.
The {\tt nodwghtsIV} vector object is filled with the weights of the
vertices in the graph.
The {\tt tree->par} vector and {\tt bndwghtsIV} vector object
are filled using the simple $O(|L|)$ algorithm from \cite{liu90-etree}.
The {\tt fch[]}, {\tt sib[]} and {\tt root} fields of the included
{\tt Tree} object are then set.
{\tt vtxToFrontIV}, the {\tt IV} object that holds the map from
vertices to fronts, is set to the identity.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt g} is {\tt NULL} or {\tt g->nvtx} is negative,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_initFromGraphWithPerms ( ETree *etree, Graph *g ) ;
int newToOld[], int oldToNew[] ) ;
\end{verbatim}
\index{ETree_initFromGraphWithPerms@{\tt ETree\_initFromGraphWithPerms()}}
This method generates an elimination tree from a graph using two
permutation vectors.
The behavior of the method is exactly the same as the initializer
{\tt ETree\_initFromGraph()}, with the exception that
{\tt vtxToFrontIV}, the {\tt IV} object that holds the map from
vertices to fronts, is set to the {\tt oldToNew[]} map.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt g} is {\tt NULL} or {\tt g->nvtx} is negative,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_initFromDenseMatrix ( ETree *etree, int n, int option, int param ) ;
\end{verbatim}
\index{ETree_initFromDenseMatrix@{\tt ETree\_initFromDenseMatrix()}}
This method initializes a front tree to factor
a {\tt n x n} dense matrix.
If {\tt option == 1}, then all fronts (save possibly the last) have
the same number of internal vertices, namely {\tt param}.
If {\tt option == 2}, then we try to make all fronts have the same
number of entries in their (1,1), (1,2) and (2,1) blocks, namely
{\tt param} entries.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL} or if ${\tt n} <= 0$,
or if ${\tt option} < 1$,
or if $2 < {\tt option}$ ,
or if ${\tt param} \le 0$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_initFromFile ( ETree *etree, char *inETreeFileName,
int msglvl, FILE *msgFile ) ;
\end{verbatim}
\index{ETree_initFromFile@{\tt ETree\_initFromFile()}}
This method reads in an {\tt ETree} object from a file, gets the
old-to-new vertex permutation, permutes to vertex-to-front map,
and returns an {\tt IV} object that contains the old-to-new
permutation.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL}
or {\tt inETreeFileName} is ``{\tt none}'',
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_initFromSubtree ( ETree *subtree, IV *nodeidsIV, ETree *etree, IV *vtxIV ) ;
\end{verbatim}
\index{ETree_initFromSubtree@{\tt ETree\_initFromSubtree()}}
This method initializes {\tt subtree} from {\tt tree} using the
nodes of {\tt etree} that are found in {\tt nodeidsIV}.
The map from nodes in {\tt subtree} to nodes in {\tt etree}
is returned in {\tt vtxIV}.
\par \noindent {\it Return code: }
1 for a normal return,
-1 if {\tt subtree} is {\tt NULL},
-2 if {\tt nodeidsIV} is {\tt NULL},
-3 if {\tt etree} is {\tt NULL},
-4 if {\tt nodeidsIV} is invalid,
-5 if {\tt vtxIV} is {\tt NULL}.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Utility methods}
\label{subsection:ETree:proto:utilities}
\par
The utility methods return the number of bytes taken by the object,
or the number of factor indices, entries or operations required by
the object.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_sizeOf ( ETree *etree ) ;
\end{verbatim}
\index{ETree_sizeOf@{\tt ETree\_sizeOf()}}
This method returns the number of bytes taken by this object
(which includes the bytes taken by the internal {\tt Tree}
structure).
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_nFactorIndices ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nFactorIndices@{\tt ETree\_nFactorIndices()}}
This method returns the number of indices taken by the factor matrix
that the tree represents.
Note, if the {\tt ETree} object is a vertex elimination tree,
the number of indices is equal to the number of entries.
If the number of compressed indices is required, create an {\tt
ETree} object to represent the tree of fundamental supernodes
and then call this method with this compressed tree.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL}
or if $\mbox{\tt nfront} < 1$,
or if $\mbox{\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_nFactorEntries ( ETree *etree, int symflag ) ;
\end{verbatim}
\index{ETree_nFactorEntries@{\tt ETree\_nFactorEntries()}}
This method returns the number of entries taken by the factor matrix
that the tree represents.
The {\tt symflag} parameter can be one of
{\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or
{\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if $\mbox{\tt nfront} < 1$,
or if $\mbox{\tt nvtx} < 1$,
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
double ETree_nFactorOps ( ETree *etree, int type, int symflag ) ;
\end{verbatim}
\index{ETree_nFactorOps@{\tt ETree\_nFactorOps()}}
This method returns the number of operations taken by the factor matrix
that the tree represents.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if $\mbox{\tt nfront} < 1$,
or if $\mbox{\tt nvtx} < 1$,
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
double ETree_nFactorEntriesInFront ( ETree *etree, int symflag, int J ) ;
\end{verbatim}
\index{ETree_nFactorEntriesInFront@{\tt ETree\_nFactorEntriesInFront()}}
This method returns the number of entries in front {\tt J} for an
$LU$ factorization.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if $\mbox{\tt nfront} < 1$,
or if {\tt symflag} is invalid,
or if ${\tt J} < 0$,
or if ${\tt J} \ge {\tt nfront}$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
double ETree_nInternalOpsInFront ( ETree *etree, int type, int symflag, int J ) ;
\end{verbatim}
\index{ETree_nInternalOpsInFront@{\tt ETree\_nInternalOpsInFront()}}
This method returns the number of internal operations performed
by front {\tt J} on its $(1,1)$, $(2,1)$, and $(1,2)$ blocks
during a factorization.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
{\tt symflag} must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if $\mbox{\tt nfront} < 1$,
or if {\tt type} or {\tt symflag} is invalid,
or if ${\tt J} < 0$,
or if ${\tt J} \ge {\tt nfront}$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
double ETree_nExternalOpsInFront ( ETree *etree, int type, int symflag, int J ) ;
\end{verbatim}
\index{ETree_nExternalOpsInFront@{\tt ETree\_nExternalOpsInFront()}}
This method returns the number of operations performed by front
{\tt J} on its $(2,2)$ block for an $LU$ factorization.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
{\tt symflag} must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if $\mbox{\tt nfront} < 1$,
or if {\tt type} or {\tt symflag} is invalid,
or if ${\tt J} < 0$,
or if ${\tt J} \ge {\tt nfront}$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_factorEntriesIV ( ETree *etree, int symflag ) ;
\end{verbatim}
\index{ETree_factorEntriesIV@{\tt ETree\_factorEntriesIV()}}
This method creates and returns an {\tt IV} object that is filled
with the number of entries for the fronts.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
DV * ETree_backwardOps ( ETree *etree, int type, int symflag,
int vwghts[], IV *symbfacIVL ) ;
\end{verbatim}
\index{ETree_backwardOps@{\tt ETree\_backwardOps()}}
This method creates and returns a {\tt DV} object that is filled
with the backward operations (left-looking) for the fronts.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
{\tt symflag} must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt symbfacIVL} is {\tt NULL},
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
DV * ETree_forwardOps ( ETree *etree, int type, int symflag ) ;
\end{verbatim}
\index{ETree_forwardOps@{\tt ETree\_forwardOps()}}
This method creates and returns a {\tt DV} object that is filled
with the forward operations (right-looking) for the fronts.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
{\tt symflag} must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_expand ( ETree *etree, IV *eqmapIV ) ;
\end{verbatim}
\index{ETree_expand@{\tt ETree\_expand()}}
This method creates and returns an {\tt ETree} object
for an uncompressed graph.
The map from compressed vertices to uncompressed vertices
is found in the {\tt eqmapIV} object.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt eqmapIV} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_spliceTwoEtrees ( ETree *etree0, Graph *graph, IV *mapIV, ETree *etree1 ) ;
\end{verbatim}
\index{ETree_spliceTwoEtrees@{\tt ETree\_spliceTwoEtrees()}}
This method creates and returns an {\tt ETree} object that is
formed by splicing together two front trees,
{\tt etree0} for the vertices the eliminated domains,
{\tt etree1} for the vertices the Schur complement.
The {\tt mapIV} object maps vertices to domains or the Schur
complement --- if the entry is {\tt 0}, the vertex is in the Schur
complement, otherwise it is in a domain.
\par \noindent {\it Error checking:}
If {\tt etree0}, {\tt graph}, {\tt mapIV} or {\tt etree1} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\subsection{Metrics methods}
\label{subsection:ETree:proto:metrics}
\par
Many operations need to know some {\it metric} defined on the nodes
in a etree.
Here are three examples:
\begin{itemize}
\item
the weight of each front in the tree (this is just the {\tt
nodwghtsIV} object);
\item
the number of factor entries in each front
\item
the number of factor operations associated with each front in a
forward looking factorization.
\end{itemize}
Other metrics based on height, depth or subtree accumulation
can be evaluated using the {\tt Tree} metric methods on the
{\tt Tree} object contained in the {\tt ETree} object.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_nvtxMetric ( ETree *etree ) ;
\end{verbatim}
\index{ETree_nvtxMetric@{\tt ETree\_nvtxMetric()}}
An {\tt IV} object of size {\tt nvtx} is created,
filled with the entries from {\tt etree->nodwghtsIV},
and returned.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_nentMetric ( ETree *etree, int symflag ) ;
\end{verbatim}
\index{ETree_nentMetric@{\tt ETree\_nentMetric()}}
An {\tt IV} object of size {\tt nfront} is created and returned.
Each entry of the vector is filled with the number of factor
entries associated with the corresponding front.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
DV * ETree_nopsMetric ( ETree *etree, int type, int symflag ) ;
\end{verbatim}
\index{ETree_nopsMetric@{\tt ETree\_nopsMetric()}}
An {\tt DV} object of size {\tt nfront} is created and returned.
Each entry of the vector is filled with the number of factor
operations associated with the corresponding front.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Compression methods}
\label{subsection:ETree:proto:compression}
\par
Frequently an {\tt ETree} object will need to be compressed
in some manner.
Elimination trees usually have long chains of vertices at the higher
levels, where each chain of vertices corresponds to a supernode.
Liu's generalized row envelope methods partition the vertices by
longest chains \cite{liu91-generalizedEnvelope}.
In both cases, we can construct a map from each node to a set of
nodes to define a smaller, more compact {\tt ETree} object.
Given such a map, we construct the smaller etree.
\par
A fundamental chain is a set of vertices $v_1, \ldots, v_m$ such that
\begin{enumerate}
\item
$v_1$ is a leaf or has two or more children,
\item
$v_i$ is the only child of $v_{i+1}$ for $1 \le i < m$,
\item
$v_m$ is either a root or has a sibling.
\end{enumerate}
The set of fundamental chains is uniquely defined.
In the context of elimination etrees, a fundamental chain is very
close to a fundamental supernode, and in many cases,
fundamental chains can be used to contruct the fronts with little
added fill and factor operations.
\par
A fundamental supernode \cite{ash89-relaxed} is a set of vertices
$v_1, \ldots, v_m$ such that
\begin{enumerate}
\item
$v_1$ is a leaf or has two or more children,
\item
$v_i$ is the only child of $v_{i+1}$ for $1 \le i < m$,
\item
$v_m$ is either a root or has a sibling, and
\item
the structures of $v_i$ and $v_{i+1}$ are nested,
i.e.,
{\tt bndwght[$v_i$] =
nodwght[$v_{i+1}$] + bndwght[$v_{i+1}$]} for $1 \le i < m$.
\end{enumerate}
The set of fundamental supernodes is uniquely defined.
\par
Once a map from the nodes in a tree to nodes in a compressed tree
is known, the compressed tree can be created using the {\tt
ETree\_compress()} method.
In this way, a vertex elimination tree can be used to generate a
front tree.
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_fundChainMap ( ETree *etree ) ;
\end{verbatim}
\index{ETree_fundChainMap@{\tt ETree\_fundChainMap()}}
An {\tt IV} object of size {\tt nfront} is created,
filled via a call to {\tt Tree\_fundChainMap},
then returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_fundSupernodeMap ( ETree *etree ) ;
\end{verbatim}
\index{ETree_fundSupernodeMap@{\tt ETree\_fundSupernodeMap()}}
An {\tt IV} object of size {\tt nfront} is created,
filled with the map from vertices to fundamental supernodes,
then returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_compress ( ETree *etree, IV *frontMapIV ) ;
\end{verbatim}
\index{ETree_compress@{\tt ETree\_compress()}}
Using {\tt frontMapIV}, a new {\tt ETree} object is created
and returned.
If {\tt frontMapIV} does not define each inverse map of a new node
to be connected set of nodes in the old {\tt ETree} object,
the new {\tt ETree} object will not be well defined.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt frontMapIV} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Justification methods}
\label{subsection:ETree:proto:justify}
\par
Given an {\tt ETree} object,
how should the children of a node be ordered?
This ``justification'' can have a large impact in the working
storage for the front etree in the multifrontal algorithm
\cite{liu85-mfstorage}.
Justification also is useful when displaying trees.
These methods simply check for errors and then call the appropriate
{\tt Tree} method.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_leftJustify ( ETree *etree ) ;
\end{verbatim}
\index{ETree_leftJustify@{\tt ETree\_leftJustify()}}
If {\tt u} and {\tt v} are siblings, and {\tt u} comes
before {\tt v} in a post-order traversal, then the size of the
subtree rooted at {\tt u} is as large or larger than the size of
the subtree rooted at {\tt v}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt tree} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_leftJustifyI ( ETree *etree, IV *metricIV ) ;
void ETree_leftJustifyD ( ETree *etree, DV *metricDV ) ;
\end{verbatim}
\index{ETree_leftJustifyI@{\tt ETree\_leftJustifyI()}}
\index{ETree_leftJustifyD@{\tt ETree\_leftJustifyD()}}
Otherwise, if {\tt u} and {\tt v} are siblings, and {\tt u} comes
before {\tt v} in a post-order traversal, then the weight of the
subtree rooted at {\tt u} is as large or larger than the weight of
the subtree rooted at {\tt v}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if {\tt metricIV} is {\tt NULL}
or invalid (wrong size or {\tt NULL} vector inside),
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Permutation methods}
\label{subsection:ETree:proto:permutation}
\par
Often we need to extract a permutation from an {\tt ETree} object,
e.g., a post-order traversal of a front tree gives an ordering of the
fronts for a factorization or forward solve, the inverse
gives an ordering for a backward solve.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_newToOldFrontPerm ( ETree *etree ) ;
IV * ETree_oldToNewFrontPerm ( ETree *etree ) ;
\end{verbatim}
\index{ETree_newToOldFrontPerm@{\tt ETree\_newToOldFrontPerm()}}
\index{ETree_oldToNewFrontPerm@{\tt ETree\_oldToNewFrontPerm()}}
An {\tt IV} object is created with size {\tt nfront}.
A post-order traversal of the {\tt Tree} object fills
the new-to-old permutation.
A reversal of the new-to-old permutation gives the
old-to-new permutation.
Both methods are simply wrappers around the respective
{\tt Tree} methods.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_newToOldVtxPerm ( ETree *etree ) ;
IV * ETree_oldToNewVtxPerm ( ETree *etree ) ;
\end{verbatim}
\index{ETree_newToOldVtxPerm@{\tt ETree\_newToOldVtxPerm()}}
\index{ETree_oldToNewVtxPerm@{\tt ETree\_oldToNewVtxPerm()}}
An {\tt IV} object is created with size {\tt nvtx}.
First we find a new-to-old permutation of the fronts.
Then we search over the fronts in their new order to
fill the vertex new-to-old permutation vector.
The old-to-new vertex permutation vector is found by first finding
the new-to-old vertex permutation vector, then inverting it.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_permuteVertices ( ETree *etree, IV *vtxOldToNewIV ) ;
\end{verbatim}
\index{ETree_permuteVertices@{\tt ETree\_permuteVertices()}}
This method permutes the vertices --- the {\tt vtxToFrontIV} map is
updated to reflect the new vertex numbering.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt vtxOldToNewIV} is {\tt NULL},
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Multisector methods}
\label{subsection:ETree:proto:multisector}
One of our goals is to improve a matrix ordering using the
multisection ordering algorithm.
To do this, we need to extract a multisector from the vertices,
i.e., a set of nodes that when removed from the graph, break the
remaining vertices into more than one (typically many) components.
The following two methods create and return an {\tt IV} integer
vector object that contains the nodes in the multisector.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_msByDepth ( ETree *etree, int depth ) ;
\end{verbatim}
\index{ETree_msByDepth@{\tt ETree\_msByDepth()}}
An {\tt IV} object is created to hold the multisector nodes
and returned.
Multisector nodes have their component id zero,
domain nodes have their component id one.
A vertex is in the multisector if the depth of the front to which
it belongs is less than or equal to {\tt depth}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if ${\tt depth} \le 0$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_msByNvtxCutoff ( ETree *etree, double cutoff ) ;
\end{verbatim}
\index{ETree_msByNvtxCutoff@{\tt ETree\_msByNvtxCutoff()}}
An {\tt IV} object is created to hold the multisector nodes
and returned.
Multisector nodes have their component id zero,
domain nodes have their component id one.
Inclusion in the multisector is based on the number of vertices
in the subtree that a vertex belongs, or strictly speaking, the
number of vertices in the subtree of the front to which a vertex
belongs.
If weight of the subtree is more than {\tt cutoff} times the vertex
weight, the vertex is in the multisector.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_msByNentCutoff ( ETree *etree, double cutoff, int symflag ) ;
\end{verbatim}
\index{ETree_msByNentCutoff@{\tt ETree\_msByNentCutoff()}}
An {\tt IV} object is created to hold the multisector nodes
and returned.
Multisector nodes have their component id zero,
domain nodes have their component id one.
Inclusion in the multisector is based on the number of factor
entries in the subtree that a vertex belongs, or strictly speaking,
the number of factor entries in the subtree of the front to which
a vertex belongs.
If weight of the subtree is more than {\tt cutoff} times the number
of factor entries, the vertex is in the multisector.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_msByNopsCutoff ( ETree *etree, double cutoff, int type, int symflag ) ;
\end{verbatim}
\index{ETree_msByNopsCutoff@{\tt ETree\_msByNopsCutoff()}}
An {\tt IV} object is created to hold the multisector nodes
and returned.
Multisector nodes have their component id zero,
domain nodes have their component id one.
Inclusion in the multisector is based on the number of right-looking
factor operations in the subtree that a vertex belongs,
or strictly speaking, the number of factor operations
in the subtree of the front to which a vertex belongs.
If weight of the subtree is more than {\tt cutoff} times the number
of factor operations, the vertex is in the multisector.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_msStats ( ETree *etree, IV *msIV, IV *nvtxIV, IV *nzfIV,
DV *opsDV, int type, int symflag ) ;
\end{verbatim}
\index{ETree_msStats@{\tt ETree\_msStats()}}
This method is used to generate some statistics about a domain
decomposition.
On input, {\tt msIV} is a flag vector,
i.e., {\tt ms[v] = 0} means that {\tt v} is in the Schur
complement, otherwise {\tt v} is in domain.
On output, {\tt msIV} is a map from nodes to regions,
i.e., {\tt ms[v] = 0} means that {\tt v} is in the Schur
complement, otherwise {\tt v} is in domain {\tt ms[v]}.
On output, {\tt nvtxIV} contains the number of vertices in each of
the regions,
{\tt nzfIV} contains the number of factor entries in each of
the regions, and
{\tt opsIV} contains the number of factor operations in each of
the regions.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree}, {\tt msIV}, {\tt nvtxIV}, {\tt nzfIV}
or {\tt opsIV} is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_optPart ( ETree *etree, Graph *graph, IVL *symbfacIVL,
double alpha, int *ptotalgain, int msglvl, FILE *msgFile ) ;
\end{verbatim}
\index{ETree_optPart@{\tt ETree\_optPart()}}
This method is used to find the optimal domain/Schur complement
partition for a semi-implicit factorization.
The gain of a subtree ${\widehat J}$ is equal to
$|L_{\partial{J},{\widehat J}}|
- |A_{\partial{J},{\widehat J}}|
- \alpha |L_{{\widehat J},{\widehat J}}|$.
When $\alpha = 0$, we minimize active storage,
when $\alpha = 1$, we minimize solve operations.
On return, {\tt *ptotalgain} is filled with the total gain.
The return value is a pointer to {\tt compidsIV},
where {\tt compids[J] = 0} means that {\tt J} is in the Schur
complement,
and {\tt compids[J] != 0} means that {\tt J} is in
domain {\tt compids[J]}.
\par \noindent {\it Error checking:}
If {\tt etree}, {\tt graph} or {\tt symbfacIVL}
is {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Transformation methods}
\label{subsection:ETree:proto:transformation}
Often the elimination tree or front tree that we obtain from an
ordering of the graph is not as appropriate for a factorization as
we would like.
There are two important cases.
\begin{itemize}
\item
Near the leaves of the tree the fronts are typically small in size.
There is an overhead associated with each front, and though the
overhead varies with regard to the factorization algorithm, it can
be beneficial to group small subtrees together into one front.
The expense is added storage for the logically zero entries and the
factor operations on them.
In this library, the technique we use to merge fronts together is
{\it node amalgamation} \cite{duf83-multifrontal},
or more specifically {\it supernode relaxation} \cite{ash89-relaxed}.
\item
Near the root of the tree the fronts can be very large, large
enough that special techniques are necessary to handle the large
dense frontal matrices that might not be able to exist in-core.
Another consideration is a parallel setting where the design
decision is to have each front be factored by a single thread of
computation.
Large fronts dictate a long critical path in the factorization task
graph.
We try to split a large front into two or more smaller fronts
that form a chain in the front tree.
Breaking the front into smaller fronts will reduce core storage
requirements and have better cache reuse and reduce the critical
path through the task graph.
\end{itemize}
We provide three methods to merge fronts together and one method to
break fronts apart, and one method that is a wrapper around all these.
Let us describe the differences between the methods that merge
fronts together.
Each method performs a post-order traversal of the front tree.
They differ on the decision process when visiting a front.
\begin{itemize}
\item
The method {\tt ETree\_mergeFrontsAny()} is taken from
\cite{ash89-relaxed}.
When visiting a front it tries to merge that front
with one of its children if it will not add too many zero entries
to that front. If successful, it tries to merge the front with
another child.
This approach has served well for over a decade in a serial
environment, but we discovered that it has a negative effect
on nested dissection orderings when we want a parallel
factorization.
Often it merges the top level separator with {\it one} of its
children, and thus reduces parallelism in the front tree.
\item
The method {\tt ETree\_mergeFrontsOne()}
only tries to merge a front when it has only one child.
This method is very useful if one has a vertex elimination tree
(where the number of fronts is equal to the number of vertices),
for the fundamental supernode tree can be created using
{\tt maxzeros = 0}.
This method has some affect for minimum degree or fill orderings,
where chains of nodes can occur in two ways: aggregation (where a
vertex is eliminated that is adjacent to only one subtree) or when
the indistinguishabilty test fails.
In general, this method does not effectively reduce the number
of fronts because it has the ``parent-only child'' restriction.
\item
The method {\tt ETree\_mergeFrontsAll()} tries to merge a front
with {\it all} of its children, if the resulting front does not
contain too many zero entries.
This has the effect of merging small bushy subtrees, but will not
merge a top level separator with one of its children.
\end{itemize}
For a serial application, {\tt ETree\_mergeFrontsAny()} is suitable.
For a parallel application, we recommend first using
{\tt ETree\_mergeFrontsOne()}
followed by
{\tt ETree\_mergeFrontsAll()}.
See the driver programs {\tt testTransform} and {\tt mkNDETree}
for examples of how to call the methods.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_mergeFrontsOne ( ETree *etree, int maxzeros, IV *nzerosIV ) ;
\end{verbatim}
\index{ETree_mergeFrontsOne@{\tt ETree\_mergeFrontsOne()}}
This method only tries to merge a front with its only child.
It returns an {\tt ETree} object where one or more
subtrees that contain multiple fronts
have been merged into single fronts.
The parameter that governs the merging process is {\tt maxzeros},
the number of zero entries that can be introduced by merging
a child and parent front together.
On input, {\tt nzerosIV} contains the number of zeros presently in
each front.
It is modified on output to correspond with the new front tree.
This method only tries to merge a front with its only child.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_mergeFrontsAll ( ETree *etree, int maxzeros ) ;
\end{verbatim}
\index{ETree_mergeFrontsAll@{\tt ETree\_mergeFrontsAll()}}
This method only tries to merge a front with all of its children.
It returns an {\tt ETree} object where a front
has either been merged with none or all of its children.
The parameter that governs the merging process is {\tt maxzeros},
the number of zero entries that can be introduced by merging
the children and parent front together.
On input, {\tt nzerosIV} contains the number of zeros presently in
each front.
It is modified on output to correspond with the new front tree.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_mergeFrontsAny ( ETree *etree, int maxzeros ) ;
\end{verbatim}
\index{ETree_mergeFrontsAny@{\tt ETree\_mergeFrontsAny()}}
This method only tries to merge a front with any subset of its children.
It returns an {\tt ETree} object where a front has
possibly merged with any of its children.
The parameter that governs the merging process is {\tt maxzeros},
the number of zero entries that can be introduced by merging
the children and parent front together.
On input, {\tt nzerosIV} contains the number of zeros presently in
each front.
It is modified on output to correspond with the new front tree.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_splitFronts ( ETree *etree, int vwghts[],
int maxfrontsize, int seed ) ;
\end{verbatim}
\index{ETree_splitFronts@{\tt ETree\_splitFronts()}}
This method returns an {\tt ETree} object where one or more large
fronts have been split into smaller fronts.
Only an interior front (a front that is not a leaf in the tree)
can be split.
No front in the returned {\tt ETree} object has more than
{\tt maxfrontsize} rows and columns.
The {\tt vwghts[]} vector stores the number of degrees of freedom
associated with a vertex; if {\tt vwghts} is {\tt NULL}, then the
vertices have unit weight.
The way the vertices in a front to be split are assigned to smaller
fronts is random; the {\tt seed} parameter is a seed to a random
number generator that permutes the vertices in a front.
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if ${\tt maxfrontsize} \le 0$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
ETree * ETree_transform ( ETree *etree, int vwghts[], int maxzeros,
int maxfrontsize, int seed ) ;
ETree * ETree_transform2 ( ETree *etree, int vwghts[], int maxzeros,
int maxfrontsize, int seed ) ;
\end{verbatim}
\index{ETree_transform@{\tt ETree\_transform()}}
\index{ETree_transform2@{\tt ETree\_transform2()}}
These methods returns an {\tt ETree} object where one or more subtrees
that contain multiple fronts have been merged into single fronts and
where one or more large fronts have been split into smaller fronts.
The two methods differ slightly.
{\tt ETree\_transform2()} is better suited for parallel computing
because it tends to preserve the tree branching properties.
(A front is merged with either an only child or all children.
{\tt ETree\_transform()} can merge a front with any subset of its
children.)
\par \noindent {\it Error checking:}
If {\tt etree} is {\tt NULL},
or if ${\tt nfront} < 1$,
or if ${\tt nvtx} < 1$,
or if ${\tt maxfrontsize} \le 0$,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Parallel factorization map methods}
\label{subsection:ETree:proto:map}
This family of methods create a map from the fronts to processors
or threads, used in a parallel factorization.
\par
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
IV * ETree_wrapMap ( ETree *etree, int type, int symflag, DV *cumopsDV ) ;
IV * ETree_balancedMap ( ETree *etree, int type,
int symflag, DV *cumopsDV ) ;
IV * ETree_subtreeSubsetMap ( ETree *etree, int type,
int symflag,DV *cumopsDV ) ;
IV * ETree_ddMap ( ETree *etree, int type, int symflag,
DV *cumopsDV, double cutoff ) ;
IV * ETree_ddMapNew ( ETree *etree, int type, int symflag,
IV *msIV, DV *cumopsDV ) ;
\end{verbatim}
\index{ETree_wrapMap@{\tt ETree\_wrapMap()}}
\index{ETree_balancedMap@{\tt ETree\_balancedMap()}}
\index{ETree_subtreeSubsetMap@{\tt ETree\_subtreeSubsetMap()}}
\index{ETree_ddMap@{\tt ETree\_ddMap()}}
\index{ETree_ddMapNew@{\tt ETree\_ddMapNew()}}
These methods construct and return an {\tt IV} object that contains
the map from fronts to threads.
The size of the input {\tt cumopsDV} object is the number of
threads or processors.
On output, {\tt cumopsDV} contains the number of factor operations
performed by the threads or processors for a fan-in factorization.
The {\tt type} parameter can be one of {\tt SPOOLES\_REAL} or
{\tt SPOOLES\_COMPLEX}.
{\tt symflag} must be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par
\begin{itemize}
\item
The simplest map is the {\it wrap map}, where front {\tt J} is
assigned to thread or processor {\tt J \% nthread}.
\item
The {\it balanced map} attempts to balance the computations across the
threads or processes, where the fronts are visited in a post-order
traversal of the tree and a front is assigned to a thread or
processor with the least number of accumulated operations thus far.
\item
The {\it subtree-subset map} is the most complex, where subsets of
threads or processors are assigned to subtrees via a pre-order
traversal of the tree. (Each root of the tree can be assigned to
all processors.)
The tree is then visited in a post-order traversal, and each front
is assigned to an eligible thread or processor with the least
number of accumulated ops so far.
\item
The {\it domain decomposition map} is also complex,
where domains are mapped to threads, then the fronts in the schur
complement are mapped to threads, both using independent balanced maps.
The method {\tt ETree\_ddMapNew()} is more robust than {\tt
ETree\_ddMap()}, and is more general in the sense that it takes
a multisector vector as input.
The {\tt msIV} object is a map from the vertices to $\{0,1\}$.
A vertex mapped to 0 lies in the Schur complement,
a vertex mapped to 1 lies in a domain.
\end{itemize}
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt cumopsDV} is {\tt NULL},
or if {\tt type} or {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{Storage profile methods}
\label{subsection:ETree:proto:storage}
\par
These methods fill a vector with the total amount of working
storage necessary during the factor and solves.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_MFstackProfile ( ETree *etree, int type, double dvec[] ) ;
\end{verbatim}
\index{ETree_MFstackProfile@{\tt ETree\_MFstackProfile()}}
\par
On return, {\tt dvec[J]} contains the amount of active storage to
eliminate {\tt J} using the multifrontal method and the natural
post-order traversal.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt dvec} are {\tt NULL},
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_GSstorageProfile ( ETree *etree, int type, IVL *symbfacIVL,
int *vwghts, double dvec[] ) ;
\end{verbatim}
\index{ETree_GSstorageProfile@{\tt ETree\_GSstorageProfile()}}
\par
On return, {\tt dvec[J]} contains the amount of active storage to
eliminate {\tt J} using the left-looking general sparse method
and the natural post-order traversal.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt dvec} are {\tt NULL},
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_FSstorageProfile ( ETree *etree, int type, IVL *symbfacIVL,
double dvec[] ) ;
\end{verbatim}
\index{ETree_FSstorageProfile@{\tt ETree\_FSstorageProfile()}}
\par
On return, {\tt dvec[J]} contains the amount of active storage to
eliminate {\tt J} using the right-looking forward sparse method
and the natural post-order traversal.
The {\tt symflag} parameter can be one of {\tt SPOOLES\_SYMMETRIC},
{\tt SPOOLES\_HERMITIAN} or {\tt SPOOLES\_NONSYMMETRIC}.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt dvec} are {\tt NULL},
or if {\tt symflag} is invalid,
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_forwSolveProfile ( ETree *etree, double dvec[] ) ;
\end{verbatim}
\index{ETree_forwSolveProfile@{\tt ETree\_forwSolveProfile()}}
\par
On return, {\tt dvec[J]} contains the amount of stack storage to
solve for {\tt J} using the multifrontal-based forward solve.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt dvec} are {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
void ETree_backSolveProfile ( ETree *etree, double dvec[] ) ;
\end{verbatim}
\index{ETree_backSolveProfile@{\tt ETree\_backSolveProfile()}}
\par
On return, {\tt dvec[J]} contains the amount of stack storage to
solve for {\tt J} using the multifrontal-based backward solve.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt dvec} are {\tt NULL},
an error message is printed and the program exits.
%-----------------------------------------------------------------------
\end{enumerate}
\par
\subsection{IO methods}
\label{subsection:ETree:proto:IO}
\par
There are the usual eight IO routines.
The file structure of a tree object is simple:
{\tt nfront}, {\tt nvtx},
a {\tt Tree} object followed by the
{\tt nodwghtsIV},
{\tt bndwghtsIV} and
{\tt vtxToFrontIV} objects.
\par
%=======================================================================
\begin{enumerate}
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_readFromFile ( ETree *etree, char *fn ) ;
\end{verbatim}
\index{ETree_readFromFile@{\tt ETree\_readFromFile()}}
\par
This method reads an {\tt ETree} object from a file
whose name is stored in {\tt *fn}.
It tries to open the file and if it is successful,
it then calls {\tt ETree\_readFromFormattedFile()} or
{\tt ETree\_readFromBinaryFile()},
closes the file
and returns the value returned from the called routine.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fn} are {\tt NULL},
or if {\tt fn} is not of the form
{\tt *.etreef} (for a formatted file)
or {\tt *.etreeb} (for a binary file),
an error message is printed and the method returns zero.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_readFromFormattedFile ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_readFromFormattedFile@{\tt ETree\_readFromFormattedFile()}}
\par
This method reads an {\tt ETree} object from a formatted file.
If there are no errors in reading the data,
the value {\tt 1} is returned.
If an IO error is encountered from {\tt fscanf}, zero is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL}
an error message is printed and zero is returned.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_readFromBinaryFile ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_readFromBinaryFile@{\tt ETree\_readFromBinaryFile()}}
\par
This method reads an {\tt ETree} object from a formatted file.
If there are no errors in reading the data,
the value {\tt 1} is returned.
If an IO error is encountered from {\tt fread}, zero is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL} an error message
is printed and zero is returned.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_writeToFile ( ETree *etree, char *fn ) ;
\end{verbatim}
\index{ETree_writeToFile@{\tt ETree\_writeToFile()}}
\par
This method writes an {\tt ETree} object to a file
whose name is stored in {\tt *fn}.
An attempt is made to open the file and if successful,
it then calls {\tt ETree\_writeFromFormattedFile()}
for a formatted file, or
{\tt ETree\_writeFromBinaryFile()} for a binary file.
The method then closes the file
and returns the value returned from the called routine.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fn} are {\tt NULL},
or if {\tt fn} is not of the form
{\tt *.etreef} (for a formatted file)
or {\tt *.etreeb} (for a binary file),
an error message is printed and the method returns zero.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_writeToFormattedFile ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_writeToFormattedFile@{\tt ETree\_writeToFormattedFile()}}
\par
This method writes an {\tt ETree} object to a formatted file.
Otherwise, the data is written to the file.
If there are no errors in writing the data,
the value {\tt 1} is returned.
If an IO error is encountered from {\tt fprintf}, zero is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL},
an error message is printed and zero is returned.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_writeToBinaryFile ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_writeToBinaryFile@{\tt ETree\_writeToBinaryFile()}}
\par
This method writes an {\tt ETree} object to a binary file.
If there are no errors in writing the data,
the value {\tt 1} is returned.
If an IO error is encountered from {\tt fwrite}, zero is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL},
an error message is printed and zero is returned.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_writeForHumanEye ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_writeForHumanEye@{\tt ETree\_writeForHumanEye()}}
\par
This method writes an {\tt ETree} object to a file in a readable
format.
Otherwise, the method {\tt ETree\_writeStats()}
is called to write out the
header and statistics.
Then the parent, first child, sibling, node weight and boundary
weight values are printed out in five columns.
The value {\tt 1} is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL} an error message
is printed and zero is returned.
%-----------------------------------------------------------------------
\item
\begin{verbatim}
int ETree_writeStats ( ETree *etree, FILE *fp ) ;
\end{verbatim}
\index{ETree_writeStats@{\tt ETree\_writeStats()}}
\par
This method write a header and some statistics to a file.
The value {\tt 1} is returned.
\par \noindent {\it Error checking:}
If {\tt etree} or {\tt fp} are {\tt NULL} an error message
is printed and zero is returned.
%-----------------------------------------------------------------------
\end{enumerate}
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