Time-dependent Dirichlet Boundary Conditions in Finite Element Discretizations

Size: px
Start display at page:

Download "Time-dependent Dirichlet Boundary Conditions in Finite Element Discretizations"

Transcription

1 Time-dependent Dirichlet Boundary Conditions in Finite Element Discretizations Peter Benner and Jan Heiland November 5, 2015 Seminar Talk at Uni Konstanz

2 Introduction Motivation A controlled physical processes are controlled via interfaces is modelled via PDEs for the state υ with boundary control u F( υ, υ; u) and approximated through, e.g., finite elements F ( v, v; u). For further treatment like optimal control or model reduction, we want to have a standard state space form of F : v = f (v; u) or v = Av + Bu. Heiland Time-dependent Boundary Conditions in FEM 2/23

3 Introduction Or a bit more concrete The PDE υ = Aυ, υ = u in the domain, at the boundary is spatially discretized to give an ODE with a constraint M v = Av, v = u at the inner nodes, at the boundary nodes however, elimination like v = v i + v u, where v u = G 1 u fulfills the boundary values, does lead to M v i = Av i + AG 1 u MG 1 u, which is not of the standard form. Heiland Time-dependent Boundary Conditions in FEM 3/23

4 Introduction Functional Analytical Framework Ω R d, d {2, 3} a bounded and smooth domain with boundary Γ. V := W 1,2 (Ω) and H := L 2 (Ω) the state spaces V the dual space of V with respect to the embedding V H, the trace spaces Q = W 1 2,2 (Γ) and Q = Q := L(Q, R), and the trace operator γ : V Q. Heiland Time-dependent Boundary Conditions in FEM 4/23

5 Introduction A generic PDE Problem Let T > 0 and consider A: V V. For F L 2 (0, T ; V ), for υ 0 H, and U L 2 (0, T ; Q ), find υ with υ(t) V and υ(t) V, a.e. on (0, T ), so that υ(t) Aυ(t) = F(t), γυ(t) = U(t), holds for almost all t (0, T ), and so that υ(0) = υ 0 in H. We will not discuss time regularity here. For illustration purposes, we consider only the linear case. Heiland Time-dependent Boundary Conditions in FEM 5/23

6 Introduction Convection-diffusion Example Problem Given a diffusion parameter ν, a convection wind β, and a function g prescribing the boundary conditions, find a function ρ that satisfies ρ(t) + β ρ(t) ν ρ(t) = 0, ρ Γ (t) = g(t). In standard weak formulations, the convection diffusion problem resembles the generic PDE with υ(t) W 1,2 (Ω) and, e.g., A defined via ( ) ( ) β υ(t), φ +ν υ(t), φ dω Aυ(t), φ V,V = for all φ V := W 1,2 (Ω) and with n Ω Γ ν ( υ n (t), φ) dγ, denoting the normal derivative. Heiland Time-dependent Boundary Conditions in FEM 6/23

7 Introduction Finite Element Discretization Finite element space V = span{ψ i } nv i=1 V Assume that the basis {ψ i } nv i=1 is a nodal basis, i.e. the basis functions are associated with nodes of a mesh and they have local support. We consider the decomposition V = V I V Γ, with dimensions n v = n I + n d where V I = span{ψ i } n I of the inner i=1 is the space spanned by the basis functions and V Γ V is the space of the basis functions {ψ i } nv the boundary i=n I +1 that live on Heiland Time-dependent Boundary Conditions in FEM 7/23

8 Introduction Finite Element Discretization The splitting of the FEM space V = V I V Γ, is applied for ansatz and test spaces. Accordingly the mass matrix M := [( ψ i, ψ j )H ] i,j=1,n v is split with respect to the test space: M = [ MI and, once more, with respect to the trial space, M I = [ M II M I Γ ], i.e. M II and M I Γ are the part associated with the inner dofs and the part relates to the boundary dofs tested against the inner nodes, respectively. M Γ ], Heiland Time-dependent Boundary Conditions in FEM 8/23

9 Section Subsection similarly for the system matrix A approximating A is decomposed [ ] AI A = and A I = [ ] A II A I Γ as is a right hand side. A Γ Also, we write the FEM solution as n I v = v I + v Γ = v i ψ i + i=1 n v i=n I +1 and freely assign it with the coefficient vector v = v i ψ i, [ vi v Γ ]. Heiland Time-dependent Boundary Conditions in FEM 9/23

10 Introduction Finite Element Discretization To assign the boundary values, we simply assign the dofs associated with the corresponding boundaries via Gv = u, where G = [ 0 I ] R nv n I,n v Eventually, the discrete equations read: Problem Find v ( [0, T ] R nv ) so that M I v(t) A I v(t) = f (t), v(0) = α, Gv(t) = u(t), where α is a given initial value and u is the control variable. Heiland Time-dependent Boundary Conditions in FEM 10/23

11 Possible Approaches The direct approach Note that we cannot simply eliminate the boundary nodes in M I v A I v = 0, Gv = v Γ = u. with the partitioning of M I and A I with respect to the inner and boundary nodes, we obtain [ ] [ ] v MII M I I Γ = A v II v I + A I Γ v Γ Γ and, having inserted v Γ = u, M II v I = A II v I + A I Γ u M I Γ u. Heiland Time-dependent Boundary Conditions in FEM 11/23

12 Possible Approaches Lifting Define a function that fulfills the boundary values for all time: ] [ṽi (t) ṽ(t) =. u(t) Then the difference to the actual solution ˆv I = v I ṽ I solves M II ˆv I = A II ˆv I + Bu, ˆv I (0) = α I + M 1 II M I Γ u(0), with B = [A II M 1 I M I Γ A I Γ ]. the obtained system is independent choice of the lifting ṽ I some choices of ṽ I are readily extended to nonlinear equations Heiland Time-dependent Boundary Conditions in FEM 12/23

13 Possible Approaches Multipliers If the constraint is incorporated via a multiplier: one can apply a projection scheme: M v(t) Av(t) G T λ(t) = 0, Gv(t) = u(t), Define P := I M 1 G T S 1 G, where S := GM 1 G T, consider v = Pv + (I P)v =: v i + v g, and find that v g = M 1 G T S 1 u and with B := AM 1 G T S 1. M v i P T Av i = P T Bu, Heiland Time-dependent Boundary Conditions in FEM 13/23

14 Possible Approaches Ultra Weak Formulations Let Φ = W 2,2 (Ω) W 1,2 0 (Ω) and consider the pure diffusion equation. υ a is called very weak solution if Ω for all φ Φ. ( υ, φ ) dω Ω ν ( υ, φ ) dω = Γ ν ( u, φ ) dγ n The abstract equations indicate that a spatial discretization may lead to a standard system The difficulty however, lies in the definition of matching test functions of high regularity with zero boundary values and suitable ansatz functions. Heiland Time-dependent Boundary Conditions in FEM 14/23

15 Possible Approaches Ultra Weak Formulations With the nonconforming ansatz spaces V W 1,2 0 (Ω), the ultra weak solution is approximated ( ) v, φ dω + ν ( v, φ ) ( ) ( φ) dω = f, φ dω ν u, dγ n Ω for all φ V. Ω which is doable by in standard FEM packages. Note that the solution is approximated by a functions with a zero trace, i.e. v Γ = 0. Ω Γ Heiland Time-dependent Boundary Conditions in FEM 15/23

16 Possible Approaches Robin Relaxation The Dirichlet conditions can be approximated by a Robin type condition v α v n + v = g or v n 1 (g v) on Γ, α with a parameter α that is intended to go to zero which are incorporated naturally in the weak formulation Heiland Time-dependent Boundary Conditions in FEM 16/23

17 Numerical Studies Test Setup For β 1 (x) = 1 10 [ x0 + 1 (x 1 + 1) ] and ν 1 = 0.1, x Γ 0 Γ 1 x0-1 Γ 3-1 Γ 2 1 find approximations to the scalar function ρ satisfying ρ(t) + β 1 ρ(t) ν 1 ρ(t) = 0, ρ Γ0 (t) = u(t), ρ Γ1 (t) = 0, Γ 2 ρ ν Γ3 (t) = 0, on given discretizations N h and N τ of the spatial domain Ω = [ 1, 1] 2 and of the time interval [0, 0.2]. Heiland Time-dependent Boundary Conditions in FEM 17/23

18 Numerical Studies Test Setup We consider the following schemes lift lifting of the boundary conditions via split mass matrix proj incorporation of the constraint via Lagrange multiplier and projections ncul nonconforming approximation of ultra week solutions pero relaxation via Robin approximation and for a varying space discretization N h, time discretization N τ, and polynomial degrees cg, and a numerically computed reference solution, we investigate the errors e pcg hn h,τn τ := ρ pcg hn h,τn τ ρ ref measured in a numerical approximation of the L 2 (0, 1; L 2 ([ 1, 1] 2 )) norm. Heiland Time-dependent Boundary Conditions in FEM 18/23

19 Numerical Studies Estimated Order of Convergence e p1 hnh,τ e p2 hnh,τ N h proj lift ncul Convergence tests for the consistent implementations the dashed lines indicate the slope of a quadratic convergence the dotted lines indicate a convergence of order Heiland Time-dependent Boundary Conditions in FEM 19/23 N h

20 Numerical Studies Penalty versus Accuracy 10 0 e p1 hnh,τ α α N h = 6 N h = 12 N h = 24 N h = 48 Errors for pero for different values of the penalization parameter α for exact system solves (right) and approximate system solves (left) Heiland Time-dependent Boundary Conditions in FEM 20/23

21 Numerical Studies Peformance in GMRES av.#its e p1,tol1e 7 h48,τ120 proj lift pero ncul Performance of GMRES within the various formulations for N h = 48, N τ = 120, and linear elements (cg = 1) The averaged number of iterations per time-step av.#its and the approximation error in the case that the resulting linear equations are solved using GMRES up to a relative residual of tol = The colored cells contain the lowest measured values. Heiland Time-dependent Boundary Conditions in FEM 21/23

22 Conclusion and an outlook There are numerous approaches that approximate a Dirichlet boundary control problem into a standard state space system Penalization schemes are easy to implement but require a wise choice of the parameter Consistent schemes need but a little extra implementation efforts Future work: Investigate the performance of the schemes in optimal control or model reduction setups Analyse the consistency of the reformulations with the infinite dimensional PDE Heiland Time-dependent Boundary Conditions in FEM 22/23

23 Conclusion and an outlook There are numerous approaches that approximate a Dirichlet boundary control problem into a standard state space system Penalization schemes are easy to implement but require a wise choice of the parameter Consistent schemes need but a little extra implementation efforts Future work: Investigate the performance of the schemes in optimal control or model reduction setups Analyse the consistency of the reformulations with the infinite dimensional PDE Thank you for your attention. Heiland Time-dependent Boundary Conditions in FEM 22/23

24 Literature F. Ben Belgacem, H. El Fekih, and J.-P. Raymond, A penalized Robin approach for solving a parabolic equation with nonsmooth Dirichlet boundary conditions, Asymptotic Anal. 34 (2003), no. 2, Peter Benner and Jan Heiland, Time-dependent dirichlet conditions in finite element discretizations, ScienceOpen Research (2015). V. Girault and P.-A. Raviart, Finite Element Methods for Navier-Stokes Equations. Theory and Algorithms, Springer, Berlin, Germany, M. Hinze, R. Pinnau, M. Ulbrich, and S. Ulbrich, Optimization with PDE Constraints, Springer, Dordrecht, Netherlands, Heiland Time-dependent Boundary Conditions in FEM 23/23

Finite Element Decompositions for Stable Time Integration of Flow Equations

Finite Element Decompositions for Stable Time Integration of Flow Equations MAX PLANCK INSTITUT August 13, 2015 Finite Element Decompositions for Stable Time Integration of Flow Equations Jan Heiland, Robert Altmann (TU Berlin) ICIAM 2015 Beijing DYNAMIK KOMPLEXER TECHNISCHER

More information

A note on accurate and efficient higher order Galerkin time stepping schemes for the nonstationary Stokes equations

A note on accurate and efficient higher order Galerkin time stepping schemes for the nonstationary Stokes equations A note on accurate and efficient higher order Galerkin time stepping schemes for the nonstationary Stokes equations S. Hussain, F. Schieweck, S. Turek Abstract In this note, we extend our recent work for

More information

FEniCS Course. Lecture 0: Introduction to FEM. Contributors Anders Logg, Kent-Andre Mardal

FEniCS Course. Lecture 0: Introduction to FEM. Contributors Anders Logg, Kent-Andre Mardal FEniCS Course Lecture 0: Introduction to FEM Contributors Anders Logg, Kent-Andre Mardal 1 / 46 What is FEM? The finite element method is a framework and a recipe for discretization of mathematical problems

More information

Non-Conforming Finite Element Methods for Nonmatching Grids in Three Dimensions

Non-Conforming Finite Element Methods for Nonmatching Grids in Three Dimensions Non-Conforming Finite Element Methods for Nonmatching Grids in Three Dimensions Wayne McGee and Padmanabhan Seshaiyer Texas Tech University, Mathematics and Statistics (padhu@math.ttu.edu) Summary. In

More information

Affine covariant Semi-smooth Newton in function space

Affine covariant Semi-smooth Newton in function space Affine covariant Semi-smooth Newton in function space Anton Schiela March 14, 2018 These are lecture notes of my talks given for the Winter School Modern Methods in Nonsmooth Optimization that was held

More information

Goal. Robust A Posteriori Error Estimates for Stabilized Finite Element Discretizations of Non-Stationary Convection-Diffusion Problems.

Goal. Robust A Posteriori Error Estimates for Stabilized Finite Element Discretizations of Non-Stationary Convection-Diffusion Problems. Robust A Posteriori Error Estimates for Stabilized Finite Element s of Non-Stationary Convection-Diffusion Problems L. Tobiska and R. Verfürth Universität Magdeburg Ruhr-Universität Bochum www.ruhr-uni-bochum.de/num

More information

Chapter 2 Finite Element Spaces for Linear Saddle Point Problems

Chapter 2 Finite Element Spaces for Linear Saddle Point Problems Chapter 2 Finite Element Spaces for Linear Saddle Point Problems Remark 2.1. Motivation. This chapter deals with the first difficulty inherent to the incompressible Navier Stokes equations, see Remark

More information

Adaptive methods for control problems with finite-dimensional control space

Adaptive methods for control problems with finite-dimensional control space Adaptive methods for control problems with finite-dimensional control space Saheed Akindeinde and Daniel Wachsmuth Johann Radon Institute for Computational and Applied Mathematics (RICAM) Austrian Academy

More information

Newton-Multigrid Least-Squares FEM for S-V-P Formulation of the Navier-Stokes Equations

Newton-Multigrid Least-Squares FEM for S-V-P Formulation of the Navier-Stokes Equations Newton-Multigrid Least-Squares FEM for S-V-P Formulation of the Navier-Stokes Equations A. Ouazzi, M. Nickaeen, S. Turek, and M. Waseem Institut für Angewandte Mathematik, LSIII, TU Dortmund, Vogelpothsweg

More information

Solving Distributed Optimal Control Problems for the Unsteady Burgers Equation in COMSOL Multiphysics

Solving Distributed Optimal Control Problems for the Unsteady Burgers Equation in COMSOL Multiphysics Excerpt from the Proceedings of the COMSOL Conference 2009 Milan Solving Distributed Optimal Control Problems for the Unsteady Burgers Equation in COMSOL Multiphysics Fikriye Yılmaz 1, Bülent Karasözen

More information

Lecture Note III: Least-Squares Method

Lecture Note III: Least-Squares Method Lecture Note III: Least-Squares Method Zhiqiang Cai October 4, 004 In this chapter, we shall present least-squares methods for second-order scalar partial differential equations, elastic equations of solids,

More information

AMS subject classifications. Primary, 65N15, 65N30, 76D07; Secondary, 35B45, 35J50

AMS subject classifications. Primary, 65N15, 65N30, 76D07; Secondary, 35B45, 35J50 A SIMPLE FINITE ELEMENT METHOD FOR THE STOKES EQUATIONS LIN MU AND XIU YE Abstract. The goal of this paper is to introduce a simple finite element method to solve the Stokes equations. This method is in

More information

PARTITION OF UNITY FOR THE STOKES PROBLEM ON NONMATCHING GRIDS

PARTITION OF UNITY FOR THE STOKES PROBLEM ON NONMATCHING GRIDS PARTITION OF UNITY FOR THE STOES PROBLEM ON NONMATCHING GRIDS CONSTANTIN BACUTA AND JINCHAO XU Abstract. We consider the Stokes Problem on a plane polygonal domain Ω R 2. We propose a finite element method

More information

The Discontinuous Galerkin Finite Element Method

The Discontinuous Galerkin Finite Element Method The Discontinuous Galerkin Finite Element Method Michael A. Saum msaum@math.utk.edu Department of Mathematics University of Tennessee, Knoxville The Discontinuous Galerkin Finite Element Method p.1/41

More information

An Iterative Substructuring Method for Mortar Nonconforming Discretization of a Fourth-Order Elliptic Problem in two dimensions

An Iterative Substructuring Method for Mortar Nonconforming Discretization of a Fourth-Order Elliptic Problem in two dimensions An Iterative Substructuring Method for Mortar Nonconforming Discretization of a Fourth-Order Elliptic Problem in two dimensions Leszek Marcinkowski Department of Mathematics, Warsaw University, Banacha

More information

Some recent results for two extended Navier-Stokes systems

Some recent results for two extended Navier-Stokes systems Some recent results for two extended Navier-Stokes systems Jim Kelliher UC Riverside Joint work with Mihaela Ignatova (UCR), Gautam Iyer (Carnegie Mellon), Bob Pego (Carnegie Mellon), and Arghir Dani Zarnescu

More information

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs

Chapter Two: Numerical Methods for Elliptic PDEs. 1 Finite Difference Methods for Elliptic PDEs Chapter Two: Numerical Methods for Elliptic PDEs Finite Difference Methods for Elliptic PDEs.. Finite difference scheme. We consider a simple example u := subject to Dirichlet boundary conditions ( ) u

More information

Suboptimal Open-loop Control Using POD. Stefan Volkwein

Suboptimal Open-loop Control Using POD. Stefan Volkwein Institute for Mathematics and Scientific Computing University of Graz, Austria PhD program in Mathematics for Technology Catania, May 22, 2007 Motivation Optimal control of evolution problems: min J(y,

More information

Termination criteria for inexact fixed point methods

Termination criteria for inexact fixed point methods Termination criteria for inexact fixed point methods Philipp Birken 1 October 1, 2013 1 Institute of Mathematics, University of Kassel, Heinrich-Plett-Str. 40, D-34132 Kassel, Germany Department of Mathematics/Computer

More information

Control of Interface Evolution in Multi-Phase Fluid Flows

Control of Interface Evolution in Multi-Phase Fluid Flows Control of Interface Evolution in Multi-Phase Fluid Flows Markus Klein Department of Mathematics University of Tübingen Workshop on Numerical Methods for Optimal Control and Inverse Problems Garching,

More information

SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS

SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS SUPERCONVERGENCE PROPERTIES FOR OPTIMAL CONTROL PROBLEMS DISCRETIZED BY PIECEWISE LINEAR AND DISCONTINUOUS FUNCTIONS A. RÖSCH AND R. SIMON Abstract. An optimal control problem for an elliptic equation

More information

Priority Programme The Combination of POD Model Reduction with Adaptive Finite Element Methods in the Context of Phase Field Models

Priority Programme The Combination of POD Model Reduction with Adaptive Finite Element Methods in the Context of Phase Field Models Priority Programme 1962 The Combination of POD Model Reduction with Adaptive Finite Element Methods in the Context of Phase Field Models Carmen Gräßle, Michael Hinze Non-smooth and Complementarity-based

More information

Partitioned Methods for Multifield Problems

Partitioned Methods for Multifield Problems C Partitioned Methods for Multifield Problems Joachim Rang, 6.7.2016 6.7.2016 Joachim Rang Partitioned Methods for Multifield Problems Seite 1 C One-dimensional piston problem fixed wall Fluid flexible

More information

Overview. A Posteriori Error Estimates for the Biharmonic Equation. Variational Formulation and Discretization. The Biharmonic Equation

Overview. A Posteriori Error Estimates for the Biharmonic Equation. Variational Formulation and Discretization. The Biharmonic Equation Overview A Posteriori rror stimates for the Biharmonic quation R Verfürth Fakultät für Mathematik Ruhr-Universität Bochum wwwruhr-uni-bochumde/num1 Milan / February 11th, 013 The Biharmonic quation Summary

More information

Chapter 2. General concepts. 2.1 The Navier-Stokes equations

Chapter 2. General concepts. 2.1 The Navier-Stokes equations Chapter 2 General concepts 2.1 The Navier-Stokes equations The Navier-Stokes equations model the fluid mechanics. This set of differential equations describes the motion of a fluid. In the present work

More information

An interpolation operator for H 1 functions on general quadrilateral and hexahedral meshes with hanging nodes

An interpolation operator for H 1 functions on general quadrilateral and hexahedral meshes with hanging nodes An interpolation operator for H 1 functions on general quadrilateral and hexahedral meshes with hanging nodes Vincent Heuveline Friedhelm Schieweck Abstract We propose a Scott-Zhang type interpolation

More information

HIGHER-ORDER LINEARLY IMPLICIT ONE-STEP METHODS FOR THREE-DIMENSIONAL INCOMPRESSIBLE NAVIER-STOKES EQUATIONS

HIGHER-ORDER LINEARLY IMPLICIT ONE-STEP METHODS FOR THREE-DIMENSIONAL INCOMPRESSIBLE NAVIER-STOKES EQUATIONS STUDIA UNIV. BABEŞ BOLYAI, MATHEMATICA, Volume LIII, Number 1, March 2008 HIGHER-ORDER LINEARLY IMPLICIT ONE-STEP METHODS FOR THREE-DIMENSIONAL INCOMPRESSIBLE NAVIER-STOKES EQUATIONS IOAN TELEAGA AND JENS

More information

Krylov Subspace Methods for Nonlinear Model Reduction

Krylov Subspace Methods for Nonlinear Model Reduction MAX PLANCK INSTITUT Conference in honour of Nancy Nichols 70th birthday Reading, 2 3 July 2012 Krylov Subspace Methods for Nonlinear Model Reduction Peter Benner and Tobias Breiten Max Planck Institute

More information

Scientific Computing I

Scientific Computing I Scientific Computing I Module 8: An Introduction to Finite Element Methods Tobias Neckel Winter 2013/2014 Module 8: An Introduction to Finite Element Methods, Winter 2013/2014 1 Part I: Introduction to

More information

Hybridized Discontinuous Galerkin Methods

Hybridized Discontinuous Galerkin Methods Hybridized Discontinuous Galerkin Methods Theory and Christian Waluga Joint work with Herbert Egger (Uni Graz) 1st DUNE User Meeting, Stuttgart Christian Waluga (AICES) HDG Methods October 6-8, 2010 1

More information

Multilevel Preconditioning of Graph-Laplacians: Polynomial Approximation of the Pivot Blocks Inverses

Multilevel Preconditioning of Graph-Laplacians: Polynomial Approximation of the Pivot Blocks Inverses Multilevel Preconditioning of Graph-Laplacians: Polynomial Approximation of the Pivot Blocks Inverses P. Boyanova 1, I. Georgiev 34, S. Margenov, L. Zikatanov 5 1 Uppsala University, Box 337, 751 05 Uppsala,

More information

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)

LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) RAYTCHO LAZAROV 1 Notations and Basic Functional Spaces Scalar function in R d, d 1 will be denoted by u,

More information

Zonal modelling approach in aerodynamic simulation

Zonal modelling approach in aerodynamic simulation Zonal modelling approach in aerodynamic simulation and Carlos Castro Barcelona Supercomputing Center Technical University of Madrid Outline 1 2 State of the art Proposed strategy 3 Consistency Stability

More information

Adaptive C1 Macroelements for Fourth Order and Divergence-Free Problems

Adaptive C1 Macroelements for Fourth Order and Divergence-Free Problems Adaptive C1 Macroelements for Fourth Order and Divergence-Free Problems Roy Stogner Computational Fluid Dynamics Lab Institute for Computational Engineering and Sciences University of Texas at Austin March

More information

Space-Time Nonconforming Optimized Schwarz Waveform Relaxation for Heterogeneous Problems and General Geometries

Space-Time Nonconforming Optimized Schwarz Waveform Relaxation for Heterogeneous Problems and General Geometries Space-Time Nonconforming Optimized Schwarz Waveform Relaxation for Heterogeneous Problems and General Geometries Laurence Halpern, Caroline Japhet, and Jérémie Szeftel 3 LAGA, Université Paris XIII, Villetaneuse

More information

Basic Principles of Weak Galerkin Finite Element Methods for PDEs

Basic Principles of Weak Galerkin Finite Element Methods for PDEs Basic Principles of Weak Galerkin Finite Element Methods for PDEs Junping Wang Computational Mathematics Division of Mathematical Sciences National Science Foundation Arlington, VA 22230 Polytopal Element

More information

Optimal Left and Right Additive Schwarz Preconditioning for Minimal Residual Methods with Euclidean and Energy Norms

Optimal Left and Right Additive Schwarz Preconditioning for Minimal Residual Methods with Euclidean and Energy Norms Optimal Left and Right Additive Schwarz Preconditioning for Minimal Residual Methods with Euclidean and Energy Norms Marcus Sarkis Worcester Polytechnic Inst., Mass. and IMPA, Rio de Janeiro and Daniel

More information

Least-Squares Finite Element Methods

Least-Squares Finite Element Methods Pavel В. Bochev Max D. Gunzburger Least-Squares Finite Element Methods Spri ringer Contents Part I Survey of Variational Principles and Associated Finite Element Methods 1 Classical Variational Methods

More information

20. A Dual-Primal FETI Method for solving Stokes/Navier-Stokes Equations

20. A Dual-Primal FETI Method for solving Stokes/Navier-Stokes Equations Fourteenth International Conference on Domain Decomposition Methods Editors: Ismael Herrera, David E. Keyes, Olof B. Widlund, Robert Yates c 23 DDM.org 2. A Dual-Primal FEI Method for solving Stokes/Navier-Stokes

More information

A Balancing Algorithm for Mortar Methods

A Balancing Algorithm for Mortar Methods A Balancing Algorithm for Mortar Methods Dan Stefanica Baruch College, City University of New York, NY 11, USA Dan Stefanica@baruch.cuny.edu Summary. The balancing methods are hybrid nonoverlapping Schwarz

More information

A Review of Preconditioning Techniques for Steady Incompressible Flow

A Review of Preconditioning Techniques for Steady Incompressible Flow Zeist 2009 p. 1/43 A Review of Preconditioning Techniques for Steady Incompressible Flow David Silvester School of Mathematics University of Manchester Zeist 2009 p. 2/43 PDEs Review : 1984 2005 Update

More information

Traces and Duality Lemma

Traces and Duality Lemma Traces and Duality Lemma Recall the duality lemma with H / ( ) := γ 0 (H ()) defined as the trace space of H () endowed with minimal extension norm; i.e., for w H / ( ) L ( ), w H / ( ) = min{ ŵ H () ŵ

More information

BETI for acoustic and electromagnetic scattering

BETI for acoustic and electromagnetic scattering BETI for acoustic and electromagnetic scattering O. Steinbach, M. Windisch Institut für Numerische Mathematik Technische Universität Graz Oberwolfach 18. Februar 2010 FWF-Project: Data-sparse Boundary

More information

Hybridized DG methods

Hybridized DG methods Hybridized DG methods University of Florida (Banff International Research Station, November 2007.) Collaborators: Bernardo Cockburn University of Minnesota Raytcho Lazarov Texas A&M University Thanks:

More information

Time domain boundary elements for dynamic contact problems

Time domain boundary elements for dynamic contact problems Time domain boundary elements for dynamic contact problems Heiko Gimperlein (joint with F. Meyer 3, C. Özdemir 4, D. Stark, E. P. Stephan 4 ) : Heriot Watt University, Edinburgh, UK 2: Universität Paderborn,

More information

Constrained Minimization and Multigrid

Constrained Minimization and Multigrid Constrained Minimization and Multigrid C. Gräser (FU Berlin), R. Kornhuber (FU Berlin), and O. Sander (FU Berlin) Workshop on PDE Constrained Optimization Hamburg, March 27-29, 2008 Matheon Outline Successive

More information

Block-Structured Adaptive Mesh Refinement

Block-Structured Adaptive Mesh Refinement Block-Structured Adaptive Mesh Refinement Lecture 2 Incompressible Navier-Stokes Equations Fractional Step Scheme 1-D AMR for classical PDE s hyperbolic elliptic parabolic Accuracy considerations Bell

More information

Adaptive Finite Element Methods Lecture Notes Winter Term 2017/18. R. Verfürth. Fakultät für Mathematik, Ruhr-Universität Bochum

Adaptive Finite Element Methods Lecture Notes Winter Term 2017/18. R. Verfürth. Fakultät für Mathematik, Ruhr-Universität Bochum Adaptive Finite Element Methods Lecture Notes Winter Term 2017/18 R. Verfürth Fakultät für Mathematik, Ruhr-Universität Bochum Contents Chapter I. Introduction 7 I.1. Motivation 7 I.2. Sobolev and finite

More information

Solving PDEs with Multigrid Methods p.1

Solving PDEs with Multigrid Methods p.1 Solving PDEs with Multigrid Methods Scott MacLachlan maclachl@colorado.edu Department of Applied Mathematics, University of Colorado at Boulder Solving PDEs with Multigrid Methods p.1 Support and Collaboration

More information

Optimal control problems with PDE constraints

Optimal control problems with PDE constraints Optimal control problems with PDE constraints Maya Neytcheva CIM, October 2017 General framework Unconstrained optimization problems min f (q) q x R n (real vector) and f : R n R is a smooth function.

More information

Konstantinos Chrysafinos 1 and L. Steven Hou Introduction

Konstantinos Chrysafinos 1 and L. Steven Hou Introduction Mathematical Modelling and Numerical Analysis Modélisation Mathématique et Analyse Numérique Will be set by the publisher ANALYSIS AND APPROXIMATIONS OF THE EVOLUTIONARY STOKES EQUATIONS WITH INHOMOGENEOUS

More information

On Multigrid for Phase Field

On Multigrid for Phase Field On Multigrid for Phase Field Carsten Gräser (FU Berlin), Ralf Kornhuber (FU Berlin), Rolf Krause (Uni Bonn), and Vanessa Styles (University of Sussex) Interphase 04 Rome, September, 13-16, 2004 Synopsis

More information

Priority Program 1253

Priority Program 1253 Deutsche Forschungsgemeinschaft Priority Program 1253 Optimization with Partial Differential Equations Klaus Deckelnick and Michael Hinze A note on the approximation of elliptic control problems with bang-bang

More information

Splitting methods with boundary corrections

Splitting methods with boundary corrections Splitting methods with boundary corrections Alexander Ostermann University of Innsbruck, Austria Joint work with Lukas Einkemmer Verona, April/May 2017 Strang s paper, SIAM J. Numer. Anal., 1968 S (5)

More information

Discontinuous Galerkin Methods

Discontinuous Galerkin Methods Discontinuous Galerkin Methods Joachim Schöberl May 20, 206 Discontinuous Galerkin (DG) methods approximate the solution with piecewise functions (polynomials), which are discontinuous across element interfaces.

More information

Discontinuous Galerkin Time Discretization Methods for Parabolic Problems with Linear Constraints

Discontinuous Galerkin Time Discretization Methods for Parabolic Problems with Linear Constraints J A N U A R Y 0 1 8 P R E P R N T 4 7 4 Discontinuous Galerkin Time Discretization Methods for Parabolic Problems with Linear Constraints gor Voulis * and Arnold Reusken nstitut für Geometrie und Praktische

More information

PREPRINT 2010:23. A nonconforming rotated Q 1 approximation on tetrahedra PETER HANSBO

PREPRINT 2010:23. A nonconforming rotated Q 1 approximation on tetrahedra PETER HANSBO PREPRINT 2010:23 A nonconforming rotated Q 1 approximation on tetrahedra PETER HANSBO Department of Mathematical Sciences Division of Mathematics CHALMERS UNIVERSITY OF TECHNOLOGY UNIVERSITY OF GOTHENBURG

More information

Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials

Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials Platzhalter für Bild, Bild auf Titelfolie hinter das Logo einsetzen Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials Dr. Noemi Friedman Contents of the course Fundamentals

More information

Algorithms for Scientific Computing

Algorithms for Scientific Computing Algorithms for Scientific Computing Finite Element Methods Michael Bader Technical University of Munich Summer 2016 Part I Looking Back: Discrete Models for Heat Transfer and the Poisson Equation Modelling

More information

Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials

Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials Platzhalter für Bild, Bild auf Titelfolie hinter das Logo einsetzen Numerical methods for PDEs FEM convergence, error estimates, piecewise polynomials Dr. Noemi Friedman Contents of the course Fundamentals

More information

FEniCS Course. Lecture 6: Incompressible Navier Stokes. Contributors Anders Logg André Massing

FEniCS Course. Lecture 6: Incompressible Navier Stokes. Contributors Anders Logg André Massing FEniCS Course Lecture 6: Incompressible Navier Stokes Contributors Anders Logg André Massing 1 / 11 The incompressible Navier Stokes equations u + u u ν u + p = f in Ω (0, T ] u = 0 in Ω (0, T ] u = g

More information

Numerical approximation for optimal control problems via MPC and HJB. Giulia Fabrini

Numerical approximation for optimal control problems via MPC and HJB. Giulia Fabrini Numerical approximation for optimal control problems via MPC and HJB Giulia Fabrini Konstanz Women In Mathematics 15 May, 2018 G. Fabrini (University of Konstanz) Numerical approximation for OCP 1 / 33

More information

PDE Constrained Optimization selected Proofs

PDE Constrained Optimization selected Proofs PDE Constrained Optimization selected Proofs Jeff Snider jeff@snider.com George Mason University Department of Mathematical Sciences April, 214 Outline 1 Prelim 2 Thms 3.9 3.11 3 Thm 3.12 4 Thm 3.13 5

More information

Proper Orthogonal Decomposition for Optimal Control Problems with Mixed Control-State Constraints

Proper Orthogonal Decomposition for Optimal Control Problems with Mixed Control-State Constraints Proper Orthogonal Decomposition for Optimal Control Problems with Mixed Control-State Constraints Technische Universität Berlin Martin Gubisch, Stefan Volkwein University of Konstanz March, 3 Martin Gubisch,

More information

A Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term

A Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term A Ginzburg-Landau Type Problem for Nematics with Highly Anisotropic Elastic Term Peter Sternberg In collaboration with Dmitry Golovaty (Akron) and Raghav Venkatraman (Indiana) Department of Mathematics

More information

Glowinski Pironneau method for the 3D ω-ψ equations

Glowinski Pironneau method for the 3D ω-ψ equations 280 GUERMOND AND QUARTAPELLE Glowinski Pironneau method for the 3D ω-ψ equations Jean-Luc Guermond and Luigi Quartapelle 1 LIMSI CNRS, Orsay, France, and Dipartimento di Fisica, Politecnico di Milano,

More information

Optimal Control of Partial Differential Equations I+II

Optimal Control of Partial Differential Equations I+II About the lecture: Optimal Control of Partial Differential Equations I+II Prof. Dr. H. J. Pesch Winter semester 2011/12, summer semester 2012 (seminar), winter semester 2012/13 University of Bayreuth Preliminary

More information

Nonlinear, Transient Conduction Heat Transfer Using A Discontinuous Galerkin Hierarchical Finite Element Method

Nonlinear, Transient Conduction Heat Transfer Using A Discontinuous Galerkin Hierarchical Finite Element Method Nonlinear, Transient Conduction Heat Transfer Using A Discontinuous Galerkin Hierarchical Finite Element Method by Jerome Charles Sanders B.S. in Physics, May 2002 The College of New Jersey A Thesis submitted

More information

2 FORMULATIONS 2.1 The H-J formulation Let Ω be a domain consisting of a conducting region R and a non-conducting region S. Here assume that Ω, R and

2 FORMULATIONS 2.1 The H-J formulation Let Ω be a domain consisting of a conducting region R and a non-conducting region S. Here assume that Ω, R and Annual Report of ADVENTURE Project ADV-99-1(1999) LARGE-SCALE MAGNETIC FIELD ANALYSES Hiroshi KANAYAMA Department of Intelligent Machinery and Systems Graduate School of Engineering, Kyushu University

More information

A posteriori error estimates applied to flow in a channel with corners

A posteriori error estimates applied to flow in a channel with corners Mathematics and Computers in Simulation 61 (2003) 375 383 A posteriori error estimates applied to flow in a channel with corners Pavel Burda a,, Jaroslav Novotný b, Bedřich Sousedík a a Department of Mathematics,

More information

A Finite Element Method Using Singular Functions for Poisson Equations: Mixed Boundary Conditions

A Finite Element Method Using Singular Functions for Poisson Equations: Mixed Boundary Conditions A Finite Element Method Using Singular Functions for Poisson Equations: Mixed Boundary Conditions Zhiqiang Cai Seokchan Kim Sangdong Kim Sooryun Kong Abstract In [7], we proposed a new finite element method

More information

arxiv: v1 [math.na] 29 Feb 2016

arxiv: v1 [math.na] 29 Feb 2016 EFFECTIVE IMPLEMENTATION OF THE WEAK GALERKIN FINITE ELEMENT METHODS FOR THE BIHARMONIC EQUATION LIN MU, JUNPING WANG, AND XIU YE Abstract. arxiv:1602.08817v1 [math.na] 29 Feb 2016 The weak Galerkin (WG)

More information

Minimal periods of semilinear evolution equations with Lipschitz nonlinearity

Minimal periods of semilinear evolution equations with Lipschitz nonlinearity Minimal periods of semilinear evolution equations with Lipschitz nonlinearity James C. Robinson a Alejandro Vidal-López b a Mathematics Institute, University of Warwick, Coventry, CV4 7AL, U.K. b Departamento

More information

Large Scale Fluid-Structure Interaction by coupling OpenFOAM with external codes

Large Scale Fluid-Structure Interaction by coupling OpenFOAM with external codes Large Scale Fluid-Structure Interaction by coupling OpenFOAM with external codes Thomas Gallinger * Alexander Kupzok Roland Wüchner Kai-Uwe Bletzinger Lehrstuhl für Statik Technische Universität München

More information

WELL POSEDNESS OF PROBLEMS I

WELL POSEDNESS OF PROBLEMS I Finite Element Method 85 WELL POSEDNESS OF PROBLEMS I Consider the following generic problem Lu = f, where L : X Y, u X, f Y and X, Y are two Banach spaces We say that the above problem is well-posed (according

More information

Exponential integrators for semilinear parabolic problems

Exponential integrators for semilinear parabolic problems Exponential integrators for semilinear parabolic problems Marlis Hochbruck Heinrich-Heine University Düsseldorf Germany Innsbruck, October 2004 p. Outline Exponential integrators general class of methods

More information

Efficient smoothers for all-at-once multigrid methods for Poisson and Stokes control problems

Efficient smoothers for all-at-once multigrid methods for Poisson and Stokes control problems Efficient smoothers for all-at-once multigrid methods for Poisson and Stoes control problems Stefan Taacs stefan.taacs@numa.uni-linz.ac.at, WWW home page: http://www.numa.uni-linz.ac.at/~stefant/j3362/

More information

Finite Element Solver for Flux-Source Equations

Finite Element Solver for Flux-Source Equations Finite Element Solver for Flux-Source Equations Weston B. Lowrie A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Aeronautics Astronautics University

More information

1. Introduction. The Stokes problem seeks unknown functions u and p satisfying

1. Introduction. The Stokes problem seeks unknown functions u and p satisfying A DISCRETE DIVERGENCE FREE WEAK GALERKIN FINITE ELEMENT METHOD FOR THE STOKES EQUATIONS LIN MU, JUNPING WANG, AND XIU YE Abstract. A discrete divergence free weak Galerkin finite element method is developed

More information

From Completing the Squares and Orthogonal Projection to Finite Element Methods

From Completing the Squares and Orthogonal Projection to Finite Element Methods From Completing the Squares and Orthogonal Projection to Finite Element Methods Mo MU Background In scientific computing, it is important to start with an appropriate model in order to design effective

More information

Trust-Region SQP Methods with Inexact Linear System Solves for Large-Scale Optimization

Trust-Region SQP Methods with Inexact Linear System Solves for Large-Scale Optimization Trust-Region SQP Methods with Inexact Linear System Solves for Large-Scale Optimization Denis Ridzal Department of Computational and Applied Mathematics Rice University, Houston, Texas dridzal@caam.rice.edu

More information

Efficient FEM-multigrid solver for granular material

Efficient FEM-multigrid solver for granular material Efficient FEM-multigrid solver for granular material S. Mandal, A. Ouazzi, S. Turek Chair for Applied Mathematics and Numerics (LSIII), TU Dortmund STW user committee meeting Enschede, 25th September,

More information

A Two-Grid Stabilization Method for Solving the Steady-State Navier-Stokes Equations

A Two-Grid Stabilization Method for Solving the Steady-State Navier-Stokes Equations A Two-Grid Stabilization Method for Solving the Steady-State Navier-Stokes Equations Songul Kaya and Béatrice Rivière Abstract We formulate a subgrid eddy viscosity method for solving the steady-state

More information

Numerical Solutions to Partial Differential Equations

Numerical Solutions to Partial Differential Equations Numerical Solutions to Partial Differential Equations Zhiping Li LMAM and School of Mathematical Sciences Peking University Variational Problems of the Dirichlet BVP of the Poisson Equation 1 For the homogeneous

More information

Weak Galerkin Finite Element Scheme and Its Applications

Weak Galerkin Finite Element Scheme and Its Applications Weak Galerkin Finite Element Scheme and Its Applications Ran Zhang Department of Mathematics Jilin University, China IMS, Singapore February 6, 2015 Talk Outline Motivation WG FEMs: Weak Operators + Stabilizer

More information

Weak Galerkin Finite Element Methods and Applications

Weak Galerkin Finite Element Methods and Applications Weak Galerkin Finite Element Methods and Applications Lin Mu mul1@ornl.gov Computational and Applied Mathematics Computationa Science and Mathematics Division Oak Ridge National Laboratory Georgia Institute

More information

Towards pressure-robust mixed methods for the incompressible Navier Stokes equations

Towards pressure-robust mixed methods for the incompressible Navier Stokes equations Mohrenstrasse 39 10117 Berlin Germany Tel. +49 30 20372 0 www.wias-berlin.de 2016-05-05, Pittsburgh Weierstrass Institute for Applied Analysis and Stochastics Towards pressure-robust mixed methods for

More information

IMPACTS OF SIGMA COORDINATES ON THE EULER AND NAVIER-STOKES EQUATIONS USING CONTINUOUS/DISCONTINUOUS GALERKIN METHODS

IMPACTS OF SIGMA COORDINATES ON THE EULER AND NAVIER-STOKES EQUATIONS USING CONTINUOUS/DISCONTINUOUS GALERKIN METHODS Approved for public release; distribution is unlimited IMPACTS OF SIGMA COORDINATES ON THE EULER AND NAVIER-STOKES EQUATIONS USING CONTINUOUS/DISCONTINUOUS GALERKIN METHODS Sean L. Gibbons Captain, United

More information

Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs

Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs Global Carleman inequalities and theoretical and numerical control results for systems governed by PDEs Enrique FERNÁNDEZ-CARA Dpto. E.D.A.N. - Univ. of Sevilla joint work with A. MÜNCH Lab. Mathématiques,

More information

From the Boundary Element Domain Decomposition Methods to Local Trefftz Finite Element Methods on Polyhedral Meshes

From the Boundary Element Domain Decomposition Methods to Local Trefftz Finite Element Methods on Polyhedral Meshes From the Boundary Element Domain Decomposition Methods to Local Trefftz Finite Element Methods on Polyhedral Meshes Dylan Copeland 1, Ulrich Langer 2, and David Pusch 3 1 Institute of Computational Mathematics,

More information

On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1

On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1 On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma Ben Schweizer 1 January 16, 2017 Abstract: We study connections between four different types of results that

More information

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1 Scientific Computing WS 2018/2019 Lecture 15 Jürgen Fuhrmann juergen.fuhrmann@wias-berlin.de Lecture 15 Slide 1 Lecture 15 Slide 2 Problems with strong formulation Writing the PDE with divergence and gradient

More information

Coupling Stokes and Darcy equations: modeling and numerical methods

Coupling Stokes and Darcy equations: modeling and numerical methods Coupling Stokes and Darcy equations: modeling and numerical methods Marco Discacciati NM2PorousMedia 24 Dubrovnik, September 29, 24 Acknowledgment: European Union Seventh Framework Programme (FP7/27-23),

More information

A posteriori analysis of a discontinuous Galerkin scheme for a diffuse interface model

A posteriori analysis of a discontinuous Galerkin scheme for a diffuse interface model A posteriori analysis of a discontinuous Galerkin scheme for a diffuse interface model Jan Giesselmann joint work with Ch. Makridakis (Univ. of Sussex), T. Pryer (Univ. of Reading) 9th DFG-CNRS WORKSHOP

More information

Numerical methods for the Navier- Stokes equations

Numerical methods for the Navier- Stokes equations Numerical methods for the Navier- Stokes equations Hans Petter Langtangen 1,2 1 Center for Biomedical Computing, Simula Research Laboratory 2 Department of Informatics, University of Oslo Dec 6, 2012 Note:

More information

FINITE ELEMENT APPROXIMATION OF ELLIPTIC DIRICHLET OPTIMAL CONTROL PROBLEMS

FINITE ELEMENT APPROXIMATION OF ELLIPTIC DIRICHLET OPTIMAL CONTROL PROBLEMS Numerical Functional Analysis and Optimization, 28(7 8):957 973, 2007 Copyright Taylor & Francis Group, LLC ISSN: 0163-0563 print/1532-2467 online DOI: 10.1080/01630560701493305 FINITE ELEMENT APPROXIMATION

More information

A Robust Preconditioner for the Hessian System in Elliptic Optimal Control Problems

A Robust Preconditioner for the Hessian System in Elliptic Optimal Control Problems A Robust Preconditioner for the Hessian System in Elliptic Optimal Control Problems Etereldes Gonçalves 1, Tarek P. Mathew 1, Markus Sarkis 1,2, and Christian E. Schaerer 1 1 Instituto de Matemática Pura

More information

Nonlinear Eigenvalue Problems: An Introduction

Nonlinear Eigenvalue Problems: An Introduction Nonlinear Eigenvalue Problems: An Introduction Cedric Effenberger Seminar for Applied Mathematics ETH Zurich Pro*Doc Workshop Disentis, August 18 21, 2010 Cedric Effenberger (SAM, ETHZ) NLEVPs: An Introduction

More information

Short title: Total FETI. Corresponding author: Zdenek Dostal, VŠB-Technical University of Ostrava, 17 listopadu 15, CZ Ostrava, Czech Republic

Short title: Total FETI. Corresponding author: Zdenek Dostal, VŠB-Technical University of Ostrava, 17 listopadu 15, CZ Ostrava, Czech Republic Short title: Total FETI Corresponding author: Zdenek Dostal, VŠB-Technical University of Ostrava, 17 listopadu 15, CZ-70833 Ostrava, Czech Republic mail: zdenek.dostal@vsb.cz fax +420 596 919 597 phone

More information

On discontinuity capturing methods for convection diffusion equations

On discontinuity capturing methods for convection diffusion equations On discontinuity capturing methods for convection diffusion equations Volker John 1 and Petr Knobloch 2 1 Universität des Saarlandes, Fachbereich 6.1 Mathematik, Postfach 15 11 50, 66041 Saarbrücken, Germany,

More information