A Richardson extrapolation-based sixth-order method is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly compute a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. Other computational techniques (i.e., iterative operator based interpolation, multiple coarse grid updating strategy, and completed Richardson extrapolation) are discussed to obtain a higher-order solution on the fine grid. No extra cost is needed to build such kind of multilevel grids if multigrid methods are involved as the solver for the resulting linear systems. For this reason, a multiscale multigrid method is used to achieve both high accuracy and high efficiency computational goals in one framework. Richardson extrapolation-based computation is also extended to solve unsteady-state equations. A higher-order alternating direction implicit method with completed Richardson extrapolation is developed for solving unsteady 2D convection-diffusion equations. The completed Richardson extrapolation is used to improve the accuracy of the solution in spatial and temporal domains simultaneously.
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A Richardson extrapolation-based sixth-order method is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly compute a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. Other computational techniques (i.e., iterative operator based interpolation, multiple coarse grid updating strategy, and completed Richardson extrapolation) are discussed to obtain a higher-order solution on the fine grid. No extra cost is needed to build such kind of multilevel grids if multigrid methods are involved as the solver for the resulting linear systems. For this reason, a multiscale multigrid method is used to achieve both high accuracy and high efficiency computational goals in one framework. Richardson extrapolation-based computation is also extended to solve unsteady-state equations. A higher-order alternating direction implicit method with completed Richardson extrapolation is developed for solving unsteady 2D convection-diffusion equations. The completed Richardson extrapolation is used to improve the accuracy of the solution in spatial and temporal domains simultaneously.
Ruxin Dai is an assistant professor of Computer Science at University of Wisconsin River Falls. She obtained her PhD from University of Kentucky in 2014. Her research interests include finite difference methods, multigrid methods, and numerical algorithms for solving partial differential equations.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A Richardson extrapolation-based sixth-order method is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly compute a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. Other computational techniques (i.e., iterative operator based interpolation, multiple coarse grid updating strategy, and completed Richardson extrapolation) are discussed to obtain a higher-order solution on the fine grid. No extra cost is needed to build such kind of multilevel grids if multigrid methods are involved as the solver for the resulting linear systems. For this reason, a multiscale multigrid method is used to achieve both high accuracy and high efficiency computational goals in one framework. Richardson extrapolation-based computation is also extended to solve unsteady-state equations. A higher-order alternating direction implicit method with completed Richardson extrapolation is developed for solving unsteady 2D convection-diffusion equations. The completed Richardson extrapolation is used to improve the accuracy of the solution in spatial and temporal domains simultaneously. 188 pp. Englisch. N° de réf. du vendeur 9783659879654
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dai RuxinRuxin Dai is an assistant professor of Computer Science at University of Wisconsin River Falls. She obtained her PhD from University of Kentucky in 2014. Her research interests include finite difference methods, multigrid me. N° de réf. du vendeur 158963322
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Taschenbuch. Etat : Neu. High Performance Numerical Solution of Partial Differential Equations | Richardson Extrapolation-based High Accuracy High Efficiency Computation for Partial Differential Equations | Ruxin Dai | Taschenbuch | 188 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659879654 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 103744415
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Richardson extrapolation-based sixth-order method is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly compute a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. Other computational techniques (i.e., iterative operator based interpolation, multiple coarse grid updating strategy, and completed Richardson extrapolation) are discussed to obtain a higher-order solution on the fine grid. No extra cost is needed to build such kind of multilevel grids if multigrid methods are involved as the solver for the resulting linear systems. For this reason, a multiscale multigrid method is used to achieve both high accuracy and high efficiency computational goals in one framework. Richardson extrapolation-based computation is also extended to solve unsteady-state equations. A higher-order alternating direction implicit method with completed Richardson extrapolation is developed for solving unsteady 2D convection-diffusion equations. The completed Richardson extrapolation is used to improve the accuracy of the solution in spatial and temporal domains simultaneously.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch. N° de réf. du vendeur 9783659879654
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Richardson extrapolation-based sixth-order method is developed for 2D and 3D steady-state equations on uniform grids. Richardson extrapolation is applied to explicitly compute a sixth-order solution on the coarse grid from two fourth-order solutions with different related scale grids. Other computational techniques (i.e., iterative operator based interpolation, multiple coarse grid updating strategy, and completed Richardson extrapolation) are discussed to obtain a higher-order solution on the fine grid. No extra cost is needed to build such kind of multilevel grids if multigrid methods are involved as the solver for the resulting linear systems. For this reason, a multiscale multigrid method is used to achieve both high accuracy and high efficiency computational goals in one framework. Richardson extrapolation-based computation is also extended to solve unsteady-state equations. A higher-order alternating direction implicit method with completed Richardson extrapolation is developed for solving unsteady 2D convection-diffusion equations. The completed Richardson extrapolation is used to improve the accuracy of the solution in spatial and temporal domains simultaneously. N° de réf. du vendeur 9783659879654
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