@ -253,7 +253,7 @@ be applied.
\bsideways
\begin { center}
% \begin { tabular} { |p{ 5cm} |l|p{ 2.4cm} |p{ 2.5cm} |p{ 5cm} |}
\begin { tabular} { |p{ 5.7cm} |l|p{ 2.3cm} |p{ 2.5cm} |p{ 6.9 cm} |}
\begin { tabular} { |p{ 5.7cm} |l|p{ 2.3cm} |p{ 2.0cm} |p{ 6.4 cm} |}
\hline
\fortinline |what| & \textsc { data type} & \fortinline |val| & \textsc { default} &
\textsc { comments} \\ \hline
@ -292,8 +292,8 @@ be applied.
& Maximum number of levels. The aggregation stops
if the number of levels reaches this value (see Note). \\ \hline
\fortinline |'PAR_ AGGR_ ALG'| & \fortinline |character(len=*)| \hspace * { -3mm}
& \texttt { 'DEC'} , \texttt { 'SYMDEC'} , \texttt { 'COUPLED'}
& \texttt { 'DEC'}
& \texttt { 'DECOUPLED '} , \texttt { 'SYMDEC'} , \texttt { 'COUPLED'}
& \texttt { 'DECOUPLED '}
& Parallel aggregation algorithm. \par the
\fortinline |SYMDEC| option applies decoupled
aggregation to the sparsity pattern
@ -445,13 +445,20 @@ the parameter \texttt{ilev}.} \\
\bsideways
\ContinuedFloat
\begin { center}
\begin { tabular} { |p{ 3.9cm} |l|p{ 1.7cm} |p{ 1.7cm} |p{ 8.6 cm} |}
\begin { tabular} { |p{ 3.6cm} |l|p{ 1.7cm} |p{ 1.7cm} |p{ 8.2 cm} |}
\hline
\fi
\fortinline |'COARSE_ SUBSOLVE'| & \fortinline |character(len=*)|
& \fortinline |'ILU'| \par \fortinline |'ILUT'| \par \fortinline |'MILU'| \par
\fortinline |'MUMPS'| \par \fortinline |'SLU'| \par \fortinline |'UMF'| \par
\fortinline |'INVT'| \par \fortinline |'INVK'| \par \fortinline |'AINV'|
& \fortinline |'ILU'| \par
\fortinline |'ILUT'| \par
\fortinline |'MILU'| \par
\fortinline |'MUMPS'| \par
\fortinline |'SLU'| \par
\fortinline |'SLUDIST'| \par
\fortinline |'UMF'| \par
\fortinline |'INVT'| \par
\fortinline |'INVK'| \par
\fortinline |'AINV'|
& See~Note.
& Solver for the diagonal blocks of the coarsest matrix,
in case the block Jacobi solver
@ -487,18 +494,18 @@ the parameter \texttt{ilev}.} \\
\fortinline |what| & \textsc { data type} & \fortinline |val| & \textsc { default} &
\textsc { comments} \\ \hline
\fortinline |'COARSE_ SWEEPS'| & \fortinline |integer|
& Any integer \par number $ > 0 $
& Any integer number $ > 0 $
& 10
& Number of sweeps when \fortinline |JACOBI|, \fortinline |GS| or \fortinline |BJAC|
is chosen as coarsest-level solver.\\ \hline
\fortinline |'COARSE_ FILLIN'| & \fortinline |integer|
& Any integer \par number $ \ge 0 $
& Any integer number $ \ge 0 $
& 0
& Fill-in level $ p $ of the ILU factorizations
and first fill-in for the approximate inverses. \\ \hline
\fortinline |'COARSE_ ILUTHRS'|
& \fortinline |real(kind_ parameter)|
& Any real \par number $ \ge 0 $
& Any real number $ \ge 0 $
& 0
& Drop tolerance $ t $ in the ILU($ p,t $ )
factorization and first drop-tolerance for the approximate inverses. \\
@ -542,7 +549,7 @@ level (continued).\label{tab:p_coarse_1}}
\bsideways
\ContinuedFloat
\begin { center}
\begin { tabular} { |p{ 3.9cm} |l|p{ 1.7cm} |p{ 1.7 cm} |p{ 8.6cm} |}
\begin { tabular} { |p{ 3.5cm} |l|p{ 1.7cm} |p{ 1.4 cm} |p{ 8.6cm} |}
\hline
\fi
\fortinline |'KRM_ SUB_ SOLVE'| & \fortinline |character(len=*)| & Table~\ref { tab:p_ coarse_ 1} & \fortinline |'ILU'| & Solver for the diagonal blocks of the coarsest matrix preconditioner,