Update docs for version 2.2
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@@ -67,7 +67,7 @@ Ax=b,
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<A NAME="eq:system"></A>
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<TABLE WIDTH="100%" ALIGN="CENTER">
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<TR VALIGN="MIDDLE"><TD ALIGN="CENTER" NOWRAP><A NAME="eq:system"></A><IMG
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WIDTH="58" HEIGHT="30" BORDER="0"
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WIDTH="57" HEIGHT="30" BORDER="0"
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SRC="img2.png"
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ALT="\begin{displaymath}
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Ax=b,
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@@ -116,7 +116,8 @@ a hierarchy of index spaces and a corresponding hierarchy of matrices,
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<IMG
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WIDTH="398" HEIGHT="30" BORDER="0"
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SRC="img7.png"
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ALT="\begin{displaymath}\Omega^1 \equiv \Omega \supset \Omega^2 \supset \ldots \supset \Omega^{nlev},␍\quad A^1 \equiv A, A^2, \ldots, A^{nlev}, \end{displaymath}">
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ALT="\begin{displaymath}\Omega^1 \equiv \Omega \supset \Omega^2 \supset \ldots \supset \Omega^{nlev},
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\quad A^1 \equiv A, A^2, \ldots, A^{nlev}, \end{displaymath}">
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</DIV>
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<BR CLEAR="ALL">
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<P></P><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
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@@ -132,7 +133,7 @@ A vector space <!-- MATH
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$\mathbb{R}^{n_{k}}$
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-->
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<SPAN CLASS="MATH"><IMG
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WIDTH="33" HEIGHT="19" ALIGN="BOTTOM" BORDER="0"
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WIDTH="34" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
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SRC="img8.png"
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ALT="$\mathbb{R}^{n_{k}}$"></SPAN> is associated with <SPAN CLASS="MATH"><IMG
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WIDTH="25" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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@@ -146,11 +147,11 @@ where <SPAN CLASS="MATH"><IMG
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SRC="img9.png"
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ALT="$\Omega^k$"></SPAN>.
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For all <SPAN CLASS="MATH"><IMG
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WIDTH="71" HEIGHT="32" ALIGN="MIDDLE" BORDER="0"
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WIDTH="70" HEIGHT="34" ALIGN="MIDDLE" BORDER="0"
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SRC="img11.png"
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ALT="$k < nlev$"></SPAN>, a restriction operator and a prolongation one are built,
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which connect two levels <SPAN CLASS="MATH"><IMG
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WIDTH="14" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="14" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
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SRC="img12.png"
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ALT="$k$"></SPAN> and <SPAN CLASS="MATH"><IMG
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WIDTH="44" HEIGHT="34" ALIGN="MIDDLE" BORDER="0"
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@@ -167,7 +168,7 @@ P^k \in \mathbb{R}^{n_k \times n_{k+1}}, \quad
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-->
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<IMG
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WIDTH="254" HEIGHT="30" BORDER="0"
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WIDTH="253" HEIGHT="30" BORDER="0"
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SRC="img14.png"
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ALT="\begin{displaymath}
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P^k \in \mathbb{R}^{n_k \times n_{k+1}}, \quad
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@@ -191,7 +192,7 @@ A^{k+1}=R^kA^kP^k.
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-->
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<IMG
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WIDTH="131" HEIGHT="28" BORDER="0"
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WIDTH="129" HEIGHT="27" BORDER="0"
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SRC="img16.png"
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ALT="\begin{displaymath}
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A^{k+1}=R^kA^kP^k.
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@@ -207,19 +208,19 @@ A smoother with iteration matrix <SPAN CLASS="MATH"><IMG
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WIDTH="32" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img18.png"
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ALT="$M^k$"></SPAN> is set up at each level <SPAN CLASS="MATH"><IMG
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WIDTH="71" HEIGHT="32" ALIGN="MIDDLE" BORDER="0"
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WIDTH="70" HEIGHT="34" ALIGN="MIDDLE" BORDER="0"
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SRC="img11.png"
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ALT="$k < nlev$"></SPAN>, and a solver
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is set up at the coarsest level, so that they are ready for application
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(for example, setting up a solver based on the <SPAN CLASS="MATH"><IMG
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WIDTH="30" HEIGHT="16" ALIGN="BOTTOM" BORDER="0"
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WIDTH="30" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
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SRC="img19.png"
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ALT="$LU$"></SPAN> factorization means computing
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and storing the <SPAN CLASS="MATH"><IMG
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WIDTH="17" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
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SRC="img20.png"
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ALT="$L$"></SPAN> and <SPAN CLASS="MATH"><IMG
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WIDTH="18" HEIGHT="16" ALIGN="BOTTOM" BORDER="0"
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WIDTH="18" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
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SRC="img21.png"
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ALT="$U$"></SPAN> factors). The construction of the hierarchy of AMG components
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described so far corresponds to the so-called build phase of the preconditioner.
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@@ -256,8 +257,15 @@ end
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<IMG
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WIDTH="333" HEIGHT="336" ALIGN="BOTTOM" BORDER="0"
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SRC="img22.png"
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ALT="\framebox{␍\begin{minipage}{.85\textwidth}␍\begin{tabbing}␍\quad \=\quad \=\quad...
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...mm]␍\>endif [1mm]␍\>return $u^k$ [1mm]␍end␍\end{tabbing}␍\end{minipage}␍}">
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ALT="\framebox{
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\begin{minipage}{.85\textwidth}
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\begin{tabbing}
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\quad \=\quad \=\quad...
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...[1mm]
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\>endif \\ [1mm]
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\>return $u^k$\ \\ [1mm]
|
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end
|
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\end{tabbing}\end{minipage}}">
|
||||
|
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</DIV></TD></TR>
|
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</TABLE>
|
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|
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@@ -149,7 +149,7 @@ strongly-coupled neighborood of <SPAN CLASS="MATH"><IMG
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<A NAME="eq:strongly_coup"></A>
|
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<TABLE WIDTH="100%" ALIGN="CENTER">
|
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<TR VALIGN="MIDDLE"><TD ALIGN="CENTER" NOWRAP><A NAME="eq:strongly_coup"></A><IMG
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WIDTH="387" HEIGHT="49" BORDER="0"
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WIDTH="387" HEIGHT="48" BORDER="0"
|
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SRC="img31.png"
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ALT="\begin{displaymath}
|
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\Omega^k_j \subset \mathcal{N}_i^k(\theta) =
|
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@@ -212,7 +212,7 @@ MLD2P4, since it has been shown to produce good results in practice
|
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<A NAME="eq:tent_prol"></A>
|
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<TABLE WIDTH="100%" ALIGN="CENTER">
|
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<TR VALIGN="MIDDLE"><TD ALIGN="CENTER" NOWRAP><A NAME="eq:tent_prol"></A><IMG
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WIDTH="287" HEIGHT="52" BORDER="0"
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WIDTH="286" HEIGHT="51" BORDER="0"
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SRC="img34.png"
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ALT="\begin{displaymath}
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\bar{P}^k =(\bar{p}_{ij}^k), \quad \bar{p}_{ij}^k =
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@@ -265,7 +265,9 @@ P^k = S^k \bar{P}^k,
|
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<IMG
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WIDTH="90" HEIGHT="30" BORDER="0"
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SRC="img37.png"
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ALT="\begin{displaymath}␍P^k = S^k \bar{P}^k,␍\end{displaymath}">
|
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ALT="\begin{displaymath}
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P^k = S^k \bar{P}^k,
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\end{displaymath}">
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</DIV>
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<BR CLEAR="ALL">
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<P></P><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
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@@ -275,7 +277,7 @@ method [<A
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HREF="node36.html#BREZINA_VANEK">2</A>,<A
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HREF="node36.html#Stuben_01">24</A>].
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A simple choice for <SPAN CLASS="MATH"><IMG
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WIDTH="24" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="25" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img38.png"
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ALT="$S^k$"></SPAN> is the damped Jacobi smoother:
|
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</BIG></BIG></BIG>
|
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@@ -290,7 +292,9 @@ S^k = I - \omega^k (D^k)^{-1} A^k_F ,
|
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<IMG
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WIDTH="175" HEIGHT="31" BORDER="0"
|
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SRC="img39.png"
|
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ALT="\begin{displaymath}␍S^k = I - \omega^k (D^k)^{-1} A^k_F , ␍\end{displaymath}">
|
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ALT="\begin{displaymath}
|
||||
S^k = I - \omega^k (D^k)^{-1} A^k_F ,
|
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\end{displaymath}">
|
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</DIV>
|
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<BR CLEAR="ALL">
|
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<P></P><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
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@@ -340,7 +344,7 @@ a_{ij}^k & \m...
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</TABLE>
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<BR CLEAR="ALL"></DIV><P></P><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
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and <SPAN CLASS="MATH"><IMG
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WIDTH="24" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="24" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img44.png"
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ALT="$\omega^k$"></SPAN> is an approximation of <SPAN CLASS="MATH"><IMG
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WIDTH="61" HEIGHT="39" ALIGN="MIDDLE" BORDER="0"
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@@ -93,13 +93,13 @@ operator <!-- MATH
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SRC="img53.png"
|
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ALT="$R_i^k \in \mathbb{R}^{n_{k,i} \times n_k}$"></SPAN>
|
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that maps a vector <SPAN CLASS="MATH"><IMG
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WIDTH="22" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="23" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img54.png"
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ALT="$x^k$"></SPAN> to the vector <SPAN CLASS="MATH"><IMG
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WIDTH="22" HEIGHT="39" ALIGN="MIDDLE" BORDER="0"
|
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SRC="img55.png"
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ALT="$x_i^k$"></SPAN> made of the components of <SPAN CLASS="MATH"><IMG
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WIDTH="22" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="23" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img54.png"
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ALT="$x^k$"></SPAN>
|
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with indices in <SPAN CLASS="MATH"><IMG
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@@ -141,7 +141,7 @@ The classical AS preconditioner <SPAN CLASS="MATH"><IMG
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-->
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<IMG
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WIDTH="219" HEIGHT="59" BORDER="0"
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WIDTH="218" HEIGHT="59" BORDER="0"
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SRC="img59.png"
|
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ALT="\begin{displaymath}
|
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( M^k_{AS} )^{-1} = \sum_{i=1}^{m_k} P_i^k (A_i^k)^{-1} R_i^{k},
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@@ -205,7 +205,7 @@ multilevel application phase, requires
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</BIG></BIG></BIG>
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<UL>
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<LI>the restriction of <SPAN CLASS="MATH"><IMG
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WIDTH="25" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
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WIDTH="25" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
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SRC="img67.png"
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ALT="$w^k$"></SPAN> to the subspaces <!-- MATH
|
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$\mathbb{R}^{n_{k,i}}$
|
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|
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@@ -54,7 +54,7 @@ Method init
|
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</H2><BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG>
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<P>
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<BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG>
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||||
<DIV ALIGN="CENTER"><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE"><code>call p%init(ptype,info)</code>
|
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<DIV ALIGN="CENTER"><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE"><code>call p%init(icontx,ptype,info)</code>
|
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</BIG></BIG></BIG></DIV><BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG>
|
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<P>
|
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<BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
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@@ -68,6 +68,14 @@ This method allocates and initializes the preconditioner
|
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<P>
|
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<BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG><TABLE CELLPADDING=3>
|
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<TR><TD ALIGN="LEFT" VALIGN="TOP" WIDTH=34><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
||||
<code>icontxt</code> </BIG></BIG></BIG></TD>
|
||||
<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=340><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE"> <code>integer, intent(in)</code>.</BIG></BIG></BIG></TD>
|
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</TR>
|
||||
<TR><TD ALIGN="LEFT" VALIGN="TOP" WIDTH=34><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
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</BIG></BIG></BIG></TD>
|
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<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=340><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE"> The communication context.</BIG></BIG></BIG></TD>
|
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</TR>
|
||||
<TR><TD ALIGN="LEFT" VALIGN="TOP" WIDTH=34><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE">
|
||||
<code>ptype</code> </BIG></BIG></BIG></TD>
|
||||
<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=340><BIG CLASS="LARGE"><BIG CLASS="LARGE"><BIG CLASS="LARGE"> <code>character(len=*), intent(in)</code>.</BIG></BIG></BIG></TD>
|
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</TR>
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@@ -343,7 +343,7 @@ Parameters defining the aggregation algorithm.
|
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$\lfloor 40 \sqrt[3]{n} \rfloor$
|
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-->
|
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<SPAN CLASS="MATH"><IMG
|
||||
WIDTH="63" HEIGHT="37" ALIGN="MIDDLE" BORDER="0"
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WIDTH="64" HEIGHT="38" ALIGN="MIDDLE" BORDER="0"
|
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SRC="img76.png"
|
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ALT="$\lfloor 40 \sqrt[3]{n} \rfloor$"></SPAN>, where <SPAN CLASS="MATH"><IMG
|
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WIDTH="15" HEIGHT="18" ALIGN="BOTTOM" BORDER="0"
|
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@@ -361,7 +361,7 @@ Parameters defining the aggregation algorithm.
|
||||
<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=65>Any number
|
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<P>
|
||||
<SPAN CLASS="MATH"><IMG
|
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WIDTH="31" HEIGHT="31" ALIGN="MIDDLE" BORDER="0"
|
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WIDTH="32" HEIGHT="31" ALIGN="MIDDLE" BORDER="0"
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SRC="img78.png"
|
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ALT="$> 1$"></SPAN></TD>
|
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<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=82>1.5</TD>
|
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@@ -375,7 +375,7 @@ Parameters defining the aggregation algorithm.
|
||||
<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=65>Any integer
|
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<P>
|
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number <SPAN CLASS="MATH"><IMG
|
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WIDTH="31" HEIGHT="31" ALIGN="MIDDLE" BORDER="0"
|
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WIDTH="32" HEIGHT="31" ALIGN="MIDDLE" BORDER="0"
|
||||
SRC="img78.png"
|
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ALT="$> 1$"></SPAN></TD>
|
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<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=82>20</TD>
|
||||
@@ -393,7 +393,7 @@ Currently, only the
|
||||
<code>SYMDEC</code> option applies decoupled
|
||||
aggregation to the sparsity pattern
|
||||
of <SPAN CLASS="MATH"><IMG
|
||||
WIDTH="62" HEIGHT="39" ALIGN="MIDDLE" BORDER="0"
|
||||
WIDTH="62" HEIGHT="40" ALIGN="MIDDLE" BORDER="0"
|
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SRC="img79.png"
|
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ALT="$A+A^T$"></SPAN>.</TD>
|
||||
</TR>
|
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@@ -471,7 +471,7 @@ number <SPAN CLASS="MATH"><IMG
|
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ALT="$\in [0, 1]$"></SPAN></TD>
|
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<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=65>0.01</TD>
|
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<TD ALIGN="LEFT" VALIGN="TOP" WIDTH=187>The threshold <SPAN CLASS="MATH"><IMG
|
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WIDTH="13" HEIGHT="20" ALIGN="BOTTOM" BORDER="0"
|
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WIDTH="13" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
|
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SRC="img81.png"
|
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ALT="$\theta$"></SPAN> in the aggregation algorithm,
|
||||
see (<A HREF="node14.html#eq:strongly_coup">3</A>) in Section <A HREF="node14.html#sec:aggregation">4.2</A>.
|
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|
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@@ -62,9 +62,9 @@ This method computes <!-- MATH
|
||||
$y = op(B^{-1})\, x$
|
||||
-->
|
||||
<SPAN CLASS="MATH"><IMG
|
||||
WIDTH="112" HEIGHT="37" ALIGN="MIDDLE" BORDER="0"
|
||||
WIDTH="113" HEIGHT="39" ALIGN="MIDDLE" BORDER="0"
|
||||
SRC="img86.png"
|
||||
ALT="$y = op(B^{-1}) x$"></SPAN>, where <SPAN CLASS="MATH"><IMG
|
||||
ALT="$y = op(B^{-1})\, x$"></SPAN>, where <SPAN CLASS="MATH"><IMG
|
||||
WIDTH="19" HEIGHT="15" ALIGN="BOTTOM" BORDER="0"
|
||||
SRC="img24.png"
|
||||
ALT="$B$"></SPAN> is a previously built
|
||||
|
||||
@@ -72,7 +72,7 @@ Ax=b,
|
||||
<A NAME="system1"></A>
|
||||
<TABLE WIDTH="100%" ALIGN="CENTER">
|
||||
<TR VALIGN="MIDDLE"><TD ALIGN="CENTER" NOWRAP><A NAME="system1"></A><IMG
|
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WIDTH="58" HEIGHT="30" BORDER="0"
|
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WIDTH="57" HEIGHT="30" BORDER="0"
|
||||
SRC="img2.png"
|
||||
ALT="\begin{displaymath}
|
||||
Ax=b,
|
||||
|
||||
@@ -60,7 +60,7 @@ Mathematics Department, Macquarie University, Sydney.
|
||||
The command line arguments were: <BR>
|
||||
<STRONG>latex2html</STRONG> <TT>-local_icons -noaddress -dir ../../html userhtml.tex</TT>
|
||||
<P>
|
||||
The translation was initiated on 2018-10-25<BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG>
|
||||
The translation was initiated on 2018-11-29<BIG CLASS="LARGE"><BIG CLASS="LARGE"></BIG></BIG>
|
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<BR><HR>
|
||||
|
||||
</BODY>
|
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|
||||
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