\documentstyle[a4,12pt]{article} % % MACROS % \def\R{{\rm I\kern-.25em R}} \def\H{{\rm I\kern-.25em H}} \def\N{{\rm I\kern-.25em N}} \def\Z{{\rm Z\!\!Z}} \newcommand{\be} {\begin{enumerate}} \newcommand{\ee} {\end{enumerate}} \newcommand{\bbi} {\begin{itemize}} \newcommand{\eei} {\end{itemize}} \newcommand{\bi} {\item[ ]} \newcommand{\Bab} {\mbox {\rule{15mm}{0mm}}} \newcommand{\Bc} {\mbox {\rule[+2mm]{145mm}{0.8mm}}} \newcommand{\bq} {\begin{eqnarray}} \newcommand{\eq} {\end{eqnarray}} \newcommand{\beq} {\begin{eqnarray*}} \newcommand{\eeq} {\end{eqnarray*}} \newcommand{\bt} {\begin{tabular}} \newcommand{\et} {\end{tabular}} \newcommand{\Frac}[2] {\frac{\mbox{\normalsize{$#1$}}}{\mbox{\normalsize{$#2$}}}} \newcommand{\Int } {\displaystyle \int} \newcommand{\Sum } {\displaystyle \sum} \newcommand{\Min} {\displaystyle \min} \newcommand{\email} {\begingroup \footnotesize \urlstyle{rm}\Url} % % \begin{document} % % TITLE - ABSTRACT % \thispagestyle{empty} \begin{center} \large{\bf Incremental Unknowns for solving convection-diffusion problems in an open channel } \\[.5cm] Pascal POULLET and Fran\c cois BADE \\[.2cm] \footnotesize{ D\'epartements de Maths et de Physique, Universit\'e des Antilles et de la Guyane,\\ 97159 Pointe-\`a-Pitre Cedex, Guadeloupe F.W.I \\ \hfill\\ e-mail: Pascal.Poullet@univ-ag.fr } %\\[.5cm] \end{center} \begin{abstract} Incremental Unknowns (IU) have been introduced in order to compute solutions on approximate inertial manifolds (dynamical systems theory), in finite differences. Later, this tool has been often used to compute approximate solutions of elliptic partial differential equations with multilevel discretization. It has been proved recently that the method is also useful as a preconditioner for other linear and nonlinear problems However, the expansion of Nonlinear Galerkin concept in finite difference discretization has been hindered because of the non-small size of {\it increments}. Typically, in fluid Mechanics, the IU, which represent the small scale components, are proportional to the gradient norm of the solution, and effectively can vary substantially. One way to overcome this problem is to increase the order of magnitude for the definition of the increments. Nevertheless, the necessary number of interpolation points increases with the order of interpolation. Following that, the corresponding transfer matrix from the hierarchical basis of higher order to the nodal basis is much more filled, therefore the solver which performs iteratively this operator is penalized. Another basic idea may consist in adapting the spatial mesh to reduce the size of the increments. While doing it with a uniform mesh, the class of large size numerical problems is easily reached. Yet, the reduction of spatial mesh can be achieved with adaptive meshes or nonuniform meshes. Our aim is to focus onto a linear equation, the convection-diffusion equation in a rectangular domain : the open duct. Although, the problem may seem to be simple, it is known that with some boundary conditions, we have the development of a boundary layer perpendicular to the flow. Then, we choose a discretization by nonuniform finite differences in the perpendicular direction and a uniform mesh in the remaining direction. To catch the boundary layer, we decide to use a distribution of narrowed points by the tanh mapping. A comparative study of several multilevel preconditioners including Incremental Unknowns has been performed, for different values of parameters. Some partial results show that in some cases, the IU on nonuniform meshes (which have been defined with various weigthed average)% \cite{CHEHAB97}) improves the speed to achieve the solution. \end{abstract} %\end{frontmatter} \end{document}