COMPUTATIONAL COMPARISON BETWEEN THE TAYLOR HOOD AND THE CONFORMING CROUZEIX RAVIART ELEMENT
|
|
- Clarissa Patterson
- 6 years ago
- Views:
Transcription
1 Proceedings of ALGORITMY 5 pp COMPUTATIONAL COMPARISON BETWEEN E TAYLOR HOOD AND E CONFORMING OUZEIX RAVIART ELEMENT ROLF KRAHL AND EBERHARD BÄNSCH Abstract. Tis paper is concerned wit te computational performance of te P 2 P 1 Taylor Hood element and te conforming P + 2 P 1 Crouzeix Raviart element in te finite element discretization of te incompressible Navier Stokes equations. To tis end various kinds of discretization errors are computed as well as te beavior of two different preconditioners to solve te arising systems are studied. Key words. Taylor Hood element, Crouzeix Raviart element, incompressible fluid flow, preconditioners for Quasi-Stokes AMS subject classifications. 65N, 76M 1. Introduction. In [11] Taylor and Hood proposed te Q (8) 2 Q 1 element on quadrilaterals for solving te Navier Stokes equations numerically. Tis is a variant of te biquadratic-bilinear Q 2 Q 1 element, but wit te central node in te velocity space removed. Since ten, it became common practice to refer to te Q 2 Q 1 element on quadrilaterals as well as to its triangular counterpart, te P 2 P 1 element, bot in 2D and in 3D, as Taylor Hood element. Tis combination of finite element spaces as become one of te most well-known and popular elements for solving te incompressible Navier Stokes equations. In [7] Crouzeix and Raviart analyzed a furter class of finite element spaces on triangular meses for te Stokes equations, of wic at least two became also rater popular in CFD and are referred to as Crouzeix Raviart element nowadays: te non-conforming P 1 P element, were te velocity is continuous at te midpoints of te element faces only, see e.g. [1, 12], and te conforming P + 2 P 1 element, see e.g. [2, 8, ]. Muc effort as been spent to analyze various classes of elements. However, tere are significantly less computational investigations to compare different types of element regarding teir actual discretization errors and computational performance in general. Te aim of tis article is to present some computational results in order to provide some rationale for assessing te beavior and performance of te P 2 P 1 and te conforming P + 2 P 1 elements. Tis paper summarizes results from [13]. Te rest of tis paper is organized as follows: in Section 2 we present te numerical problem we are concerned wit, introduce some notations, and define te preconditioners tested in tis paper. In Section 3 we recall te definition of te Taylor Hood and te conforming Crouzeix Raviart element. Tis is followed by Section 4, were te performance of bot elements is tested in various ways. Preconditioners for te Quasi-Stokes problem are te objective of Section 5. Weierstraß-Institut für Angewandte Analysis und Stocastik, Morenstraße 39, 117 Berlin, Germany, kral@wias-berlin.de Friedric-Alexander-Universität Erlangen-Nürnberg, Lerstul für Angewandte Matematik III, Haberstraße 2, 958 Erlangen, Germany, baensc@mi.uni-erlangen.de 369
2 37 R. KRAHL, E. BÄNSCH 2. Numerical metods. We are concerned wit te numerical solution of te instationary, incompressible Navier Stokes equations in a bounded domain Ω R d, d {2, 3} and some time interval T R + : for a given rigt and side f, Diriclet boundary data u D and initial function u find a pair (u, p) of a velocity and pressure field fulfilling t u + u u 1 u + p = f Re in T Ω, u = in T Ω, u = u D u = u on T Ω, in {} Ω (2.1) wit Re te Reynolds number. In order to determine te pressure uniquely, as usual we impose te condition Ω p =. Te structure of te solver used in tis paper for te computational solution of (2.1) is described in [3]. It uses algoritms proposed in [5]. Te following simplified Quasi-Stokes problem appears as a core subproblem after te time discretization: find (u, p) suc tat µu u + p = f in Ω, u = in Ω, u = u D on Ω (2.2) for certain parameters µ, >. Since te Quasi-Stokes problem is linear, we fix µ = 1 ereafter. Let us remark tat in a more general situation te core problem to be solved in eac time step may be an Oseen equation and tus being nonlinear. In tis case te setting is computationally less convenient, since it proibits te use of CG metods. Oter Krylov space metods migt be used instead Scur complement formulation of te Quasi-Stokes problem. Te weak formulation of (2.2) is written in te usual form: find (u, p) u D + X Y suc tat a(u, ϕ) + b(ϕ, p) = l, ϕ ϕ X, b(u, ψ) = ψ Y (2.3) were X and Y are appropriate function spaces for te velocity and te pressure and a, b, and l are defined as a : X X R, a(u, v) = µ u v + u: v, Ω Ω b : X Y R, b(v, p) = p v, Ω l X, l, v = f v. Using operators A : X X, B : X Y, and B T : Y X defined as Au, v = a(u, v), Bu, q = b(u, q), B T p, v = b(v, p) Ω
3 COMPARISON BETWEEN TAYLOR HOOD AND OUZEIX RAVIART ELEMENT 371 u, v X, p, q Y, problem (2.3) can be written as: find (u, p) X Y suc tat Au + B T p = l, Bu =. (2.4) Note tat in tis paper for ease of presentation we sall use te notation A, B, B T also for matrices representing discretized versions of tese operators. Te meaning will be clear from te context. Now tis problem is equivalent to te Scur complement formulation: find p Y suc tat BA 1 B T p = BA 1 l and u = A 1 (l B T p). (2.5) In tis paper we consider solvers based on tis Scur complement formulation. Preconditioned CG metods are used to solve (2.5). Preconditioning of te Scur complement operator is crucial, since te Scur complement operator degenerates for µ. Te specific coices of preconditioners are addressed in te following section Preconditioners for te Quasi-Stokes problem. In tis section we introduce two different preconditioners for te Scur complement formulation (2.5). Te first one (called Laplace preconditioner ereafter) follows PDE ideas, wile te second one is based on te discretized equations (mass diagonal preconditioner) Laplace preconditioner. In [5] Bristeau, Glowinski, and Periaux proposed a preconditioner for te Quasi-Stokes problem (2.5) based on te solution of a Laplace problem in te pressure space: for a given p Y let q be te solution of q = p in Ω, n q = on Ω. (2.6) Now set S 1 Lp p := µq + p. (2.7) We denote by C Lp = ( Ω ψ ) i ψ j te stiffness matrix in te pressure space. Ten (2.6) can be written as q = C 1 Lp p. Ol sanskii proved in [14] tat in fact tis preconditioner is equal to te inverse of te Scur complement operator of te Quasi-Stokes problem for a particular set of model boundary conditions. Note tat S Lp becomes identity if µ = and = 1. Te Laplace preconditioner as proven to perform very well wit te Taylor Hood element in practice wit more realistic boundary conditions as for instance of Diriclet type, wic is also confirmed by our tests. However, for discontinuous pressure functions, it is not straigtforward ow to formulate and implement tis preconditioner, since te Laplace operator requires H 1 -regularity of te underlying space Mass diagonal preconditioner. As an alternative, we tested a preconditioner based on ideas presented in [15]. To tis end we observe tat te Quasi-Stokes problem does not need any preconditioning if µ is small. Terefore it is sensible to first consider te case µ 1. In tis case we ave 1 µ A = M + µ D M (2.8)
4 372 R. KRAHL, E. BÄNSCH wit M = ( Ω ϕ i ϕ j ) te mass matrix and D = ( Ω ϕ i : ϕ j) te stiffness matrix in te velocity space. Since M 1 is dense, we replace te mass matrix by its spectrally equivalent diagonal part M = (δij M ij ). Te discrete Scur complement operator BA 1 B T is ten approximated by B M 1 B T. To cover te full parameter range of µ and, we set S 1 MD p := µ(b M 1 B T ) 1 p + p. (2.9) Note tat te matrix C MD = B M 1 B T is computable, owever te stencil is larger tan for te usual Laplace s operator. Te incidence matrix involves also neigbors of neigboring nodes of a vertex, see [4, 13] for details. Tis mass diagonal preconditioner sows reasonable performance in practice, altoug not as good as te Laplace preconditioner for te Taylor Hood element, see Section 5. Its main advantage is tat it is based on te matrices of te saddle point problem only and does not introduce additional requirements on te regularity of te finite element spaces. 3. Te Taylor Hood and te Crouzeix Raviart element. In tis section, we recall te definition of te P 2 P 1 Taylor Hood and te P + 2 P 1 conforming Crouzeix Raviart finite element spaces. First we need to fix some notations: assume for simplicity Ω to be polygonally saped. Let T be a triangulation of Ω consisting of simplices. We assume te usual admissibility and sape regularity conditions on T, see e.g. [6, Sec ]. For any k N and any simplex S R d we denote by P k (S) := {p : S R p is a polynomial of degree k}. (3.1) Te P 2 P 1 Taylor Hood element consists of globally continuous, piecewise quadratic functions in te velocity space and of globally continuous, piecewise linear functions in te pressure space: X T H := {u (C (Ω)) d S T : u S (P 2 (S)) d } (H 1 (Ω))d, Y T H := {p C (Ω) S T : p S P 1 (S)} L 2 (Ω). (3.2) According to for instance [9] tis combination of elements is LBB-stable, provided a rater general assumption on te triangulation is fulfilled. In te case of te P + 2 P 1 conforming Crouzeix Raviart element, te pressure space consists of piecewise linear, discontinuous functions. Te additional degrees of freedom must be balanced by enricing te velocity space by e.g. volume bubbles Φ v and face bubbles Φ f for te LBB-condition to old. More precisely, let { d } Φ v (S) := span λ i i= and { d } Φ f (S) := span λ i k {,..., d} i= i k (3.3) were λ i are te barycentric coordinate functions wit respect to S. Define P + 2 (S) := P 2(S) Φ v (S) in 2D, P + 2 (S) := P 2(S) Φ v (S) Φ f (S) in 3D. (3.4)
5 COMPARISON BETWEEN TAYLOR HOOD AND OUZEIX RAVIART ELEMENT 373 Level Elements X T H Y T H X Table 4.1 Uniform refinement of te unit square in 2D. Number of degrees of freedom () for te Taylor Hood and te conforming Crouzeix Raviart element in te velocity and te pressure space. Y Note tat in 2D we ave Φ f (S) P 2 (S). Now define te P + 2 P 1 element by X := {u (C (Ω)) d S T : u S (P + 2 (S))d } (H 1 (Ω)) d, Y := {p L S T : p S P 1 (S)} L 2 (Ω). (3.5) Again, te proof of LBB-stability for tis element can be found in in [9] (actually, tere te proof is given for a variant wit a sligtly smaller velocity space; te LBB-stability for te P + 2 P 1 element as defined ere, is a trivial corollary of tis). One main advantage of te discontinuous pressure functions of conforming Crouzeix Raviart element is tat te elementwise mean values of te divergence of discrete solutions u are zero and tus te discrete solutions fulfill a local mass balance. Tis is stated in te following teorem, wic is readily proved. Teorem 3.1. Let (u, p ) X Y be te solution of te discrete Quasi- Stokes equations. Ten we ave for all S T : u =. (3.6) S 4. Comparison of discretization errors. In tis section we compare te Taylor Hood and te conforming Crouzeix Raviart element wit respect to discretization errors. We start by studying te Quasi-Stokes problem (2.2), for wic an analytic solution is available and tus te error can be computed exactly, see Section 4.1. Next we consider te full Navier Stokes equations. Tere we first consider te dynamic beavior of te discrete solution for an instationary convection, see Section 4.2. Finally, we compare te two elements regarding te error in u, see Section 4.3. We ave run numerical experiments in 2D and in 3D. Since te results in 3D exibit te same picture as te 2D examples, tey are omitted ere for sake of brevity. Let us start by commenting on te triangulation. To keep tings as concise as possible, we consider a uniform subdivision of te square in 2D and te cube in 3D. As for any given triangulation te function spaces X and Y are supersets of X T H and Y T H respectively, it is clear tat te number of degrees of freedom for te conforming Crouzeix Raviart element is iger tan for te Taylor Hood element. Tis increase is muc more pronounced in te pressure space due to te discontinuities tan in te velocity space. Te number of degrees of freedom for a uniform refinement of a square in 2D are sown in Table 4.1. Anoter indicator for te computational effort is te number of non-zero entries of te matrices involved. Table 4.2 sows te maximum number of non-zeros per
6 374 R. KRAHL, E. BÄNSCH Matrix 2D 3D A B B T C MD C Lp 9 27 Table 4.2 Uniform refinement of te unit square in 2D and of te unit cube in 3D. Maximum number of non-zero entries per line in te matrices A, B, B T, C MD, and C Lp for te Taylor Hood and te conforming Crouzeix Raviart element. line for te matrices A, B, and B T from te Quasi-Stokes problem (2.4) and for te matrices C Lp and C MD needed in te preconditioners as defined in Section Quasi-Stokes problem wit known solution. Te functions ( ( cos π ) u(x, y) := 2 (x + y)) cos ( ( π ) π, p(x, y) := sin 2 (x + y)) 2 (x y) (4.1) are solution of te Quasi-Stokes system (2.2) in 2D wit a suitable rigt and side. Wen (2.2) is related to one time step of te time discretized Navier Stokes equations (2.1), te parameter is proportional to t/re, t te time step size, since µ was fixed to µ = 1. Tus in practice, would be rater small. Terefore, in tis section we study te discretization error u u and p p wit respect to variations of ranging from = 6 to =. Tis error is sown wit respect to te number of degrees of freedom () in Figure 4.1. Clearly, for moderate values of te experimental order of convergence (EOC) approaces te expected values of 2 for te velocity and pressure in te H 1 and L 2 -norms, respectively, and 3 for te velocity in te L 2 -norm. Quantitatively, for given te error in te pressure beaves very similarly for te Crouzeix Raviart and te Taylor Hood element. Concerning te velocity, te error is better by some factor for te Crouzeix Raviart element compared to te Taylor Hood element. Only for te smallest value of = 6 te error curves for te velocity are not yet saturated. However, te pressure beaves well also in tis case Instationary convection. In order to test bot elements wit respect to te dynamic beavior of te instationary Navier Stokes equations, we cose te example of an oscillating Bénard convection, compare also [3]. To tis end te Navier Stokes system (2.1) is augmented by a eat equation. Te examples as been solved in te unit square on very coarse grids in order to test te minimum level of grid refinement required to reproduce te oscillation. On a grid of refinement level 3 for te Taylor Hood element and of level 2 for te Crouzeix Raviart element, te expected oscillating pattern was visible, but eavily disturbed by oter interrupting flow patterns. On even coarser grids te solver did not converge at all. On finer grids te oscillation was qualitatively well reproduced. In a frequency analysis te results for te Crouzeix Raviart element on a given level of grid refinement turn out to be similar to tose from te Taylor Hood element on a grid tat is one level finer Comparison of u. As already mentioned, one virtue of te Crouzeix Raviart element is te local mass balance. Going a step furter, in tis section we
7 COMPARISON BETWEEN TAYLOR HOOD AND OUZEIX RAVIART ELEMENT 375 Quasi Stokes, = 6 Quasi Stokes, = 6 Quasi Stokes, = 6 p p u u EOC 3. u u H 1 (Ω) Quasi Stokes, = Quasi Stokes, = EOC 3. 1 Quasi Stokes, = p p u u u u H 1 (Ω) p p 5 Quasi Stokes, = u u 6 Quasi Stokes, = EOC 3. u u H 1 (Ω) 1 Quasi Stokes, = Figure 4.1. Quasi-Stokes problem wit µ = 1 and = 6 (top), = (center), and = (bottom) for a known exact solution (u, p) X Y. Discretization error p p L (left), u u L (center), and u u H 1 (Ω) (rigt) vs. number of degrees of freedom. compare te two elements concerning te pointwise solenoidal condition. To tis end, we first study an example wit a smoot solution, a stationary Bénard convection in te unit square. Te results are sown in Figure 4.2. Tere, te error in u is measured in te L 2 as well as in te L 8 -norm and plotted as a function of. Te reason for coosing te L 8 -norm is tat on one and computationally an L p -norm, 1 p <, is muc simpler to compute for iger order elements tan te L -norm and on te oter and for examples like tis one te L 8 -norm is rater close to te L -norm. As can be seen from te figures, te EOC takes on te expected value of 2 for bot norms. Somewat surprisingly, te error vs. ratio is quite close for te Crouzeix Raviart and te Taylor Hood element. Te next example is te backward facing step. Tis example admits a singular solution due to te reentrant step. Terefore one cannot expect te full order of convergence. As sown in Figure 4.3 te EOC is of order.5 for u in te L 2 - norm for bot elements. Moreover, also as expected, tere is divergence of u in te L 8 -norm, somewat stronger for te Taylor Hood element. In tis case of a
8 376 R. KRAHL, E. BÄNSCH stationary Bénard convection stationary Bénard convection u u 8 (Ω) Figure 4.2. Stationary Bénard convection. Beavior of u vs. number of degrees of freedom in te L 2 -norm (left) and in te L 8 -norm (rigt). backward facing step in 2D 1 backward facing step in 2D u EOC.5 u 8 (Ω) Figure 4.3. Backward facing step in 2D. Beavior of u vs. number of degrees of freedom in te L 2 -norm (left) and in te L 8 -norm (rigt). singular solution te performance of te Crouzeix Raviart element wit respect to te solenoidal condition is muc better tan te Taylor Hood element. 5. Comparison of preconditioners for te Quasi-Stokes problem. In order to test te performance of different preconditioners, we compare te number of iterations needed to solve te Quasi-Stokes problem. Te following preconditioners ave been tested: No precond.: Laplace precond.: see Section 2.2. S 1 p := p. S 1 p := µc 1 Lp p + p. Tis preconditioner was used for te Taylor Hood element only. Mass diagonal precond.: see Section 2.2. S 1 p := µ(b M 1 B T ) 1 p + p. Plain : Te matrix of te mass diagonal preconditioner was used witout adaptation to te parameters µ and of te problem. S 1 p := (B M 1 B T ) 1 p Tis preconditioner is only considered in order to demonstrate te difference of using (B M 1 B T ) 1 compared to te linear combination µ(b M 1 B T ) 1 + I. Oterwise tis preconditioner is of no practical use.
9 COMPARISON BETWEEN TAYLOR HOOD AND OUZEIX RAVIART ELEMENT , Level 4 Laplace precond , Level , Level 5 Laplace precond , Level , Level 6 Laplace precond , Level 5 5 Figure 5.1. Quasi-Stokes problem in 2D; µ = 1. Number of iterations vs. using different preconditioners for te Taylor Hood (left) and te conforming Crouzeix Raviart element (rigt). Level of refinement 4 (top) to 6 (bottom). Figure 5.1 sows te number of iterations needed to solve te Quasi-Stokes problem in te Scur complement formulation (2.5) wit a Conjugate Gradient metod for a given tolerance. Te parameter µ was fixed as µ = 1 and was varied in te range 6. Te Taylor Hood and te conforming Crouzeix Raviart element was tested wit different levels of refinement of te triangulation. Again we note tat te same beavior can be observed in 3D. Te corresponding figures are omitted for te sake of brevity. As expected, our tests confirm te teoretical result tat te Scur complement does not need preconditioning for large values of. For = 1 bot, te Laplace and te mass diagonal preconditioner, do not sow any visible effect compared to no preconditioning. On te oter and, te Laplace preconditioner is also robust in terms of number of iterations over te wole range of values of. It performs even better for smaller values of. Te mass diagonal preconditioner is able to keep te number of iterations witin an acceptable range in most situations, but it still got problems wit very small values of. It does not reac te performance of te Laplace
10 378 R. KRAHL, E. BÄNSCH preconditioner. 6. Conclusions. Te goal of tis paper was a comparison of te computational performance of te Taylor Hood and te conforming Crouzeix Raviart element in te finite element discretization of te Navier Stokes equations. As one sould expect from te additional number of degrees of freedom, te computational results for te Crouzeix Raviart element are better in all tests tan tose from te Taylor Hood element on te same grid. But also te costs in terms of computation time are iger. As a quite roug rule of tumb one can say, te results from te Crouzeix Raviart element are by one level of grid refinement better, but tey are also by one level of grid refinement more expensive tan te results from te Taylor Hood element. Tere is one major exception to tis rule: for nonsmoot solutions we observe tat te te local mass balance, measured in terms of te pointwise solenoidal function, is muc better fulfilled for te Crouzeix Raviart tan for te Taylor Hood element. Different preconditioners for te Quasi-Stokes problem ave been compared. Te Laplace preconditioner turns out to perform best in te wole parameter range. Te fact tat tis preconditioner is not (directly) available for te Crouzeix Raviart element is one important reason for te iger computational costs of tis element resulting from our computational approac. We note, owever, tat tis picture may cange, if one would use static condensation to reduce te degrees of freedom for te Crouzeix Raviart element or certain multigrid metods, wic may be computationally ceaper for te Crouzeix Raviart element tan for te Taylor Hood element. REFERENCES [1] T. Apel, S. Nicaise, and J. Scöberl, A non-conforming finite element metod wit anisotropic mes grading for te Stokes problem in domains wit edges, IMA J. Num. Anal., 21 (1), pp [2] F. H. Bertrand, M. R. Gadbois, and P. A. Tanguy, Tetraedral elements for fluid flow, Int. J. Numer. Metods Eng., 33 (1992), pp [3] E. Bänsc, Simulation of instationary, incompressible flows, Acta Mat. Univ. Comenianae, 67 (1998), pp [4] E. Bänsc and B. Hön, Numerical treatment of te Navier Stokes equations wit slip boudary condition, SIAM J. Sci. Comput., 21 (), pp [5] M. O. Bristeau, R. Glowinski, and J. Periaux, Numerical metods for te Navier Stokes equations. applications to te simulation of compressible and incompressible viscous flow, Comput. Pys. Reports, 6 (1987), pp [6] P. G. Ciarlet, Te Finite Element Metod for Elliptic Problems, Nort Holland, Amsterdam, [7] M. Crouzeix and P.-A. Raviart, Conforming and nonconforming finite element metods for solving te stationary Stokes equations, R.A.I.R.O. R3, 7 (1973), pp [8] C. Cuvelier, A. Segal, and A. A. van Steenoven, Finite Element Metods and Navier Stokes Equations, Reidel, Dordrect, [9] V. Girault and P.-A. Raviart, Finite Element Metods for Navier Stokes Equations, Springer, [] P. M. Greso and R. L. Sani, Isotermal Laminar Flow, volume 2 of Incompressible Flow and te Finite Element Metod, 3rd edition, Wiley, Cicester,. [11] P. Hood and C. Taylor, Navier Stokes equations using mixed interpolation, in Finite Element Metods in Flow Problems, J. T. Oden, R. H. Gallager, O. C. Zienkiewicz, and C. Taylor, eds., University of Alabama in Huntsville Press, 1974, pp [12] P. Knobloc and L. Tobiska, Te P1 mod element: a new nonconforming finite element for convection-diffusion problems, SIAM J. Numer. Anal., 41 (3), pp [13] R. Kral, Das Crouzeix Raviart Element bei der numeriscen Lösung der Navier Stokes Gleicung mit FEM, Diplomarbeit, Universität Bremen, Studiengang Matematik, 2.
11 COMPARISON BETWEEN TAYLOR HOOD AND OUZEIX RAVIART ELEMENT 379 [14] M. Ol sanskii, On te Stokes problem wit model boundary conditions, Sbornik: Matematics, 188 (1997), pp [15] S. Turek, On discrete projection metods for te incompressible Navier Stokes equations: an algoritmal approac, Comp. Metods Appl. Mec. Engrg., 143 (1997), pp
Weierstraß-Institut. für Angewandte Analysis und Stochastik. im Forschungsverbund Berlin e.v. Preprint ISSN
Weierstraß-Institut für Angewandte Analysis und Stochastik im Forschungsverbund Berlin e.v. Preprint ISSN 946 8633 Computational comparison between the Taylor Hood and the conforming Crouzeix Raviart element
More informationThe Laplace equation, cylindrically or spherically symmetric case
Numerisce Metoden II, 7 4, und Übungen, 7 5 Course Notes, Summer Term 7 Some material and exercises Te Laplace equation, cylindrically or sperically symmetric case Electric and gravitational potential,
More informationNumerical Experiments Using MATLAB: Superconvergence of Nonconforming Finite Element Approximation for Second-Order Elliptic Problems
Applied Matematics, 06, 7, 74-8 ttp://wwwscirporg/journal/am ISSN Online: 5-7393 ISSN Print: 5-7385 Numerical Experiments Using MATLAB: Superconvergence of Nonconforming Finite Element Approximation for
More informationPreconditioning in H(div) and Applications
1 Preconditioning in H(div) and Applications Douglas N. Arnold 1, Ricard S. Falk 2 and Ragnar Winter 3 4 Abstract. Summarizing te work of [AFW97], we sow ow to construct preconditioners using domain decomposition
More informationUniform estimate of the constant in the strengthened CBS inequality for anisotropic non-conforming FEM systems
Uniform estimate of te constant in te strengtened CBS inequality for anisotropic non-conforming FEM systems R. Blaeta S. Margenov M. Neytceva Version of November 0, 00 Abstract Preconditioners based on
More information1. Introduction. We consider the model problem: seeking an unknown function u satisfying
A DISCONTINUOUS LEAST-SQUARES FINITE ELEMENT METHOD FOR SECOND ORDER ELLIPTIC EQUATIONS XIU YE AND SHANGYOU ZHANG Abstract In tis paper, a discontinuous least-squares (DLS) finite element metod is introduced
More informationNew Streamfunction Approach for Magnetohydrodynamics
New Streamfunction Approac for Magnetoydrodynamics Kab Seo Kang Brooaven National Laboratory, Computational Science Center, Building 63, Room, Upton NY 973, USA. sang@bnl.gov Summary. We apply te finite
More informationFEM solution of the ψ-ω equations with explicit viscous diffusion 1
FEM solution of te ψ-ω equations wit explicit viscous diffusion J.-L. Guermond and L. Quartapelle 3 Abstract. Tis paper describes a variational formulation for solving te D time-dependent incompressible
More informationarxiv: v1 [math.na] 20 Jul 2009
STABILITY OF LAGRANGE ELEMENTS FOR THE MIXED LAPLACIAN DOUGLAS N. ARNOLD AND MARIE E. ROGNES arxiv:0907.3438v1 [mat.na] 20 Jul 2009 Abstract. Te stability properties of simple element coices for te mixed
More informationA Hybrid Mixed Discontinuous Galerkin Finite Element Method for Convection-Diffusion Problems
A Hybrid Mixed Discontinuous Galerkin Finite Element Metod for Convection-Diffusion Problems Herbert Egger Joacim Scöberl We propose and analyse a new finite element metod for convection diffusion problems
More informationlecture 26: Richardson extrapolation
43 lecture 26: Ricardson extrapolation 35 Ricardson extrapolation, Romberg integration Trougout numerical analysis, one encounters procedures tat apply some simple approximation (eg, linear interpolation)
More informationarxiv: v1 [math.na] 28 Apr 2017
THE SCOTT-VOGELIUS FINITE ELEMENTS REVISITED JOHNNY GUZMÁN AND L RIDGWAY SCOTT arxiv:170500020v1 [matna] 28 Apr 2017 Abstract We prove tat te Scott-Vogelius finite elements are inf-sup stable on sape-regular
More informationOPTIMAL ERROR ESTIMATES FOR THE STOKES AND NAVIER STOKES EQUATIONS WITH SLIP BOUNDARY CONDITION
Matematical Modelling and Numerical Analysis M2AN, Vol. 33, N o 5, 1999, p. 923 938 Modélisation Matématique et Analyse Numérique OPTIMAL ERROR ESTIMATES FOR THE STOKES AND NAVIER STOKES EQUATIONS WITH
More informationA h u h = f h. 4.1 The CoarseGrid SystemandtheResidual Equation
Capter Grid Transfer Remark. Contents of tis capter. Consider a grid wit grid size and te corresponding linear system of equations A u = f. Te summary given in Section 3. leads to te idea tat tere migt
More informationAPPROXIMATION BY QUADRILATERAL FINITE ELEMENTS
MATHEMATICS OF COMPUTATION Volume 71, Number 239, Pages 909 922 S 0025-5718(02)01439-4 Article electronically publised on Marc 22, 2002 APPROXIMATION BY QUADRILATERAL FINITE ELEMENTS DOUGLAS N. ARNOLD,
More informationAnalysis of A Continuous Finite Element Method for H(curl, div)-elliptic Interface Problem
Analysis of A Continuous inite Element Metod for Hcurl, div)-elliptic Interface Problem Huoyuan Duan, Ping Lin, and Roger C. E. Tan Abstract In tis paper, we develop a continuous finite element metod for
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc
More informationSimulations of the turbulent channel flow at Re τ = 180 with projection-based finite element variational multiscale methods
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS Int. J. Numer. Met. Fluids 7; 55:47 49 Publised online 4 Marc 7 in Wiley InterScience (www.interscience.wiley.com). DOI:./fld.46 Simulations of te
More informationConsider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.
Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions
More informationarxiv: v2 [math.na] 5 Jul 2017
Trace Finite Element Metods for PDEs on Surfaces Maxim A. Olsanskii and Arnold Reusken arxiv:1612.00054v2 [mat.na] 5 Jul 2017 Abstract In tis paper we consider a class of unfitted finite element metods
More informationarxiv: v1 [math.na] 9 Sep 2015
arxiv:509.02595v [mat.na] 9 Sep 205 An Expandable Local and Parallel Two-Grid Finite Element Sceme Yanren ou, GuangZi Du Abstract An expandable local and parallel two-grid finite element sceme based on
More informationA Mixed-Hybrid-Discontinuous Galerkin Finite Element Method for Convection-Diffusion Problems
A Mixed-Hybrid-Discontinuous Galerkin Finite Element Metod for Convection-Diffusion Problems Herbert Egger Joacim Scöberl We propose and analyse a new finite element metod for convection diffusion problems
More informationA SADDLE POINT LEAST SQUARES APPROACH TO MIXED METHODS
A SADDLE POINT LEAST SQUARES APPROACH TO MIXED METHODS CONSTANTIN BACUTA AND KLAJDI QIRKO Abstract. We investigate new PDE discretization approaces for solving variational formulations wit different types
More informationAPPROXIMATION OF CRYSTALLINE DENDRITE GROWTH IN TWO SPACE DIMENSIONS. Introduction
Acta Mat. Univ. Comenianae Vol. LXVII, 1(1998), pp. 57 68 57 APPROXIMATION OF CRYSTALLINE DENDRITE GROWTH IN TWO SPACE DIMENSIONS A. SCHMIDT Abstract. Te pase transition between solid and liquid in an
More informationAN ANALYSIS OF THE EMBEDDED DISCONTINUOUS GALERKIN METHOD FOR SECOND ORDER ELLIPTIC PROBLEMS
AN ANALYSIS OF THE EMBEDDED DISCONTINUOUS GALERKIN METHOD FOR SECOND ORDER ELLIPTIC PROBLEMS BERNARDO COCKBURN, JOHNNY GUZMÁN, SEE-CHEW SOON, AND HENRYK K. STOLARSKI Abstract. Te embedded discontinuous
More informationJian-Guo Liu 1 and Chi-Wang Shu 2
Journal of Computational Pysics 60, 577 596 (000) doi:0.006/jcp.000.6475, available online at ttp://www.idealibrary.com on Jian-Guo Liu and Ci-Wang Su Institute for Pysical Science and Tecnology and Department
More informationarxiv: v1 [math.na] 7 Mar 2019
Local Fourier analysis for mixed finite-element metods for te Stokes equations Yunui He a,, Scott P. MacLaclan a a Department of Matematics and Statistics, Memorial University of Newfoundland, St. Jon
More informationTHE STURM-LIOUVILLE-TRANSFORMATION FOR THE SOLUTION OF VECTOR PARTIAL DIFFERENTIAL EQUATIONS. L. Trautmann, R. Rabenstein
Worksop on Transforms and Filter Banks (WTFB),Brandenburg, Germany, Marc 999 THE STURM-LIOUVILLE-TRANSFORMATION FOR THE SOLUTION OF VECTOR PARTIAL DIFFERENTIAL EQUATIONS L. Trautmann, R. Rabenstein Lerstul
More informationA New Class of Zienkiewicz-Type Nonconforming Element in Any Dimensions
Numerisce Matematik manuscript No. will be inserted by te editor A New Class of Zienkiewicz-Type Nonconforming Element in Any Dimensions Wang Ming 1, Zong-ci Si 2, Jincao Xu1,3 1 LMAM, Scool of Matematical
More informationOn convergence of the immersed boundary method for elliptic interface problems
On convergence of te immersed boundary metod for elliptic interface problems Zilin Li January 26, 2012 Abstract Peskin s Immersed Boundary (IB) metod is one of te most popular numerical metods for many
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x
More information5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems
5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we
More informationIntroduction to Derivatives
Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))
More information4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.
Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra
More informationFlavius Guiaş. X(t + h) = X(t) + F (X(s)) ds.
Numerical solvers for large systems of ordinary differential equations based on te stocastic direct simulation metod improved by te and Runge Kutta principles Flavius Guiaş Abstract We present a numerical
More informationTHE INF-SUP STABILITY OF THE LOWEST ORDER TAYLOR-HOOD PAIR ON ANISOTROPIC MESHES arxiv: v1 [math.na] 21 Oct 2017
THE INF-SUP STABILITY OF THE LOWEST ORDER TAYLOR-HOOD PAIR ON ANISOTROPIC MESHES arxiv:1710.07857v1 [mat.na] 21 Oct 2017 GABRIEL R. BARRENECHEA AND ANDREAS WACHTEL Abstract. Uniform LBB conditions are
More informationCrouzeix-Velte Decompositions and the Stokes Problem
Crouzeix-Velte Decompositions and te Stokes Problem PD Tesis Strauber Györgyi Eötvös Loránd University of Sciences, Insitute of Matematics, Matematical Doctoral Scool Director of te Doctoral Scool: Dr.
More informationLIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION
LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y
More informationDifferentiation in higher dimensions
Capter 2 Differentiation in iger dimensions 2.1 Te Total Derivative Recall tat if f : R R is a 1-variable function, and a R, we say tat f is differentiable at x = a if and only if te ratio f(a+) f(a) tends
More informationMATH745 Fall MATH745 Fall
MATH745 Fall 5 MATH745 Fall 5 INTRODUCTION WELCOME TO MATH 745 TOPICS IN NUMERICAL ANALYSIS Instructor: Dr Bartosz Protas Department of Matematics & Statistics Email: bprotas@mcmasterca Office HH 36, Ext
More informationMass Lumping for Constant Density Acoustics
Lumping 1 Mass Lumping for Constant Density Acoustics William W. Symes ABSTRACT Mass lumping provides an avenue for efficient time-stepping of time-dependent problems wit conforming finite element spatial
More informationEXTENSION OF A POSTPROCESSING TECHNIQUE FOR THE DISCONTINUOUS GALERKIN METHOD FOR HYPERBOLIC EQUATIONS WITH APPLICATION TO AN AEROACOUSTIC PROBLEM
SIAM J. SCI. COMPUT. Vol. 26, No. 3, pp. 821 843 c 2005 Society for Industrial and Applied Matematics ETENSION OF A POSTPROCESSING TECHNIQUE FOR THE DISCONTINUOUS GALERKIN METHOD FOR HYPERBOLIC EQUATIONS
More informationJournal of Computational and Applied Mathematics
Journal of Computational and Applied Matematics 94 (6) 75 96 Contents lists available at ScienceDirect Journal of Computational and Applied Matematics journal omepage: www.elsevier.com/locate/cam Smootness-Increasing
More informationA First-Order System Approach for Diffusion Equation. I. Second-Order Residual-Distribution Schemes
A First-Order System Approac for Diffusion Equation. I. Second-Order Residual-Distribution Scemes Hiroaki Nisikawa W. M. Keck Foundation Laboratory for Computational Fluid Dynamics, Department of Aerospace
More informationERROR BOUNDS FOR THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BRADLEY J. LUCIER*
EO BOUNDS FO THE METHODS OF GLIMM, GODUNOV AND LEVEQUE BADLEY J. LUCIE* Abstract. Te expected error in L ) attimet for Glimm s sceme wen applied to a scalar conservation law is bounded by + 2 ) ) /2 T
More informationDifferent Approaches to a Posteriori Error Analysis of the Discontinuous Galerkin Method
WDS'10 Proceedings of Contributed Papers, Part I, 151 156, 2010. ISBN 978-80-7378-139-2 MATFYZPRESS Different Approaces to a Posteriori Error Analysis of te Discontinuous Galerkin Metod I. Šebestová Carles
More informationChapter 5 FINITE DIFFERENCE METHOD (FDM)
MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential
More informationarxiv: v1 [math.na] 6 Dec 2010
MULTILEVEL PRECONDITIONERS FOR DISCONTINUOUS GALERKIN APPROXIMATIONS OF ELLIPTIC PROBLEMS WITH JUMP COEFFICIENTS BLANCA AYUSO DE DIOS, MICHAEL HOLST, YUNRONG ZHU, AND LUDMIL ZIKATANOV arxiv:1012.1287v1
More informationMixed Finite Element Methods for Incompressible Flow: Stationary Stokes Equations
Mixed Finite Element Metods for Incompressible Flow: Stationary Stoes Equations Ziqiang Cai, Carles Tong, 2 Panayot S. Vassilevsi, 2 Cunbo Wang Department of Matematics, Purdue University, West Lafayette,
More informationLEAST-SQUARES FINITE ELEMENT APPROXIMATIONS TO SOLUTIONS OF INTERFACE PROBLEMS
SIAM J. NUMER. ANAL. c 998 Society for Industrial Applied Matematics Vol. 35, No., pp. 393 405, February 998 00 LEAST-SQUARES FINITE ELEMENT APPROXIMATIONS TO SOLUTIONS OF INTERFACE PROBLEMS YANZHAO CAO
More informationarxiv: v3 [math.na] 31 May 2016
Stability analysis of pressure correction scemes for te Navier-Stoes equations wit traction boundary conditions Sangyun Lee a, Abner J. Salgado b a Center for Subsurface Modeling, Institute for Computational
More informationIsoparametric finite element approximation of curvature on hypersurfaces
Isoparametric finite element approximation of curvature on ypersurfaces C.-J. Heine Abstract Te discretisation of geometric problems often involves a point-wise approximation of curvature, altoug te discretised
More informationarxiv: v1 [math.na] 12 Mar 2018
ON PRESSURE ESTIMATES FOR THE NAVIER-STOKES EQUATIONS J A FIORDILINO arxiv:180304366v1 [matna 12 Mar 2018 Abstract Tis paper presents a simple, general tecnique to prove finite element metod (FEM) pressure
More informationA Weak Galerkin Method with an Over-Relaxed Stabilization for Low Regularity Elliptic Problems
J Sci Comput (07 7:95 8 DOI 0.007/s095-06-096-4 A Weak Galerkin Metod wit an Over-Relaxed Stabilization for Low Regularity Elliptic Problems Lunji Song, Kaifang Liu San Zao Received: April 06 / Revised:
More informationNumerical analysis of a free piston problem
MATHEMATICAL COMMUNICATIONS 573 Mat. Commun., Vol. 15, No. 2, pp. 573-585 (2010) Numerical analysis of a free piston problem Boris Mua 1 and Zvonimir Tutek 1, 1 Department of Matematics, University of
More informationA MULTILEVEL PRECONDITIONER FOR THE INTERIOR PENALTY DISCONTINUOUS GALERKIN METHOD
A MULTILEVEL PRECONDITIONER FOR THE INTERIOR PENALTY DISCONTINUOUS GALERKIN METHOD KOLJA BRIX, MARTIN CAMPOS PINTO, AND WOLFGANG DAHMEN Abstract. In tis article we present a multilevel preconditioner for
More informationON THE CONVERGENCE OF A DUAL-PRIMAL SUBSTRUCTURING METHOD. January 2000 Revised April 2000
ON THE CONVERGENCE OF A DUAL-PRIMAL SUBSTRUCTURING METHOD JAN MANDEL AND RADEK TEZAUR January 2000 Revised April 2000 Abstract In te Dual-Primal FETI metod, introduced by Farat et al [5], te domain is
More informationarxiv: v1 [math.na] 3 Nov 2011
arxiv:.983v [mat.na] 3 Nov 2 A Finite Difference Gost-cell Multigrid approac for Poisson Equation wit mixed Boundary Conditions in Arbitrary Domain Armando Coco, Giovanni Russo November 7, 2 Abstract In
More informationOn the accuracy of the rotation form in simulations of the Navier-Stokes equations
On te accuracy of te rotation form in simulations of te Navier-Stokes equations William Layton 1 Carolina C. Manica Monika Neda 3 Maxim Olsanskii Leo G. Rebolz 5 Abstract Te rotation form of te Navier-Stokes
More informationNumerical Differentiation
Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function
More informationLecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines
Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to
More informationOrder of Accuracy. ũ h u Ch p, (1)
Order of Accuracy 1 Terminology We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, wic can be for instance te grid size or time step in a numerical
More informationA method of Lagrange Galerkin of second order in time. Une méthode de Lagrange Galerkin d ordre deux en temps
A metod of Lagrange Galerkin of second order in time Une métode de Lagrange Galerkin d ordre deux en temps Jocelyn Étienne a a DAMTP, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, Great-Britain.
More informationMIXED DISCONTINUOUS GALERKIN APPROXIMATION OF THE MAXWELL OPERATOR. SIAM J. Numer. Anal., Vol. 42 (2004), pp
MIXED DISCONTINUOUS GALERIN APPROXIMATION OF THE MAXWELL OPERATOR PAUL HOUSTON, ILARIA PERUGIA, AND DOMINI SCHÖTZAU SIAM J. Numer. Anal., Vol. 4 (004), pp. 434 459 Abstract. We introduce and analyze a
More informationCopyright c 2008 Kevin Long
Lecture 4 Numerical solution of initial value problems Te metods you ve learned so far ave obtained closed-form solutions to initial value problems. A closedform solution is an explicit algebriac formula
More informationEfficient, unconditionally stable, and optimally accurate FE algorithms for approximate deconvolution models of fluid flow
Efficient, unconditionally stable, and optimally accurate FE algoritms for approximate deconvolution models of fluid flow Leo G. Rebolz Abstract Tis paper addresses an open question of ow to devise numerical
More informationA proof in the finite-difference spirit of the superconvergence of the gradient for the Shortley-Weller method.
A proof in te finite-difference spirit of te superconvergence of te gradient for te Sortley-Weller metod. L. Weynans 1 1 Team Mempis, INRIA Bordeaux-Sud-Ouest & CNRS UMR 551, Université de Bordeaux, France
More informationCONVERGENCE ANALYSIS OF FINITE ELEMENT SOLUTION OF ONE-DIMENSIONAL SINGULARLY PERTURBED DIFFERENTIAL EQUATIONS ON EQUIDISTRIBUTING MESHES
INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING Volume, Number, Pages 57 74 c 5 Institute for Scientific Computing and Information CONVERGENCE ANALYSIS OF FINITE ELEMENT SOLUTION OF ONE-DIMENSIONAL
More informationc 2004 Society for Industrial and Applied Mathematics
SIAM J NUMER ANAL Vol 4, No, pp 86 84 c 004 Society for Industrial and Applied Matematics LEAST-SQUARES METHODS FOR LINEAR ELASTICITY ZHIQIANG CAI AND GERHARD STARKE Abstract Tis paper develops least-squares
More informationarxiv: v1 [physics.flu-dyn] 3 Jun 2015
A Convective-like Energy-Stable Open Boundary Condition for Simulations of Incompressible Flows arxiv:156.132v1 [pysics.flu-dyn] 3 Jun 215 S. Dong Center for Computational & Applied Matematics Department
More informationch (for some fixed positive number c) reaching c
GSTF Journal of Matematics Statistics and Operations Researc (JMSOR) Vol. No. September 05 DOI 0.60/s4086-05-000-z Nonlinear Piecewise-defined Difference Equations wit Reciprocal and Cubic Terms Ramadan
More informationFINITE ELEMENT DUAL SINGULAR FUNCTION METHODS FOR HELMHOLTZ AND HEAT EQUATIONS
J. KSIAM Vol.22, No.2, 101 113, 2018 ttp://dx.doi.org/10.12941/jksiam.2018.22.101 FINITE ELEMENT DUAL SINGULAR FUNCTION METHODS FOR HELMHOLTZ AND HEAT EQUATIONS DEOK-KYU JANG AND JAE-HONG PYO DEPARTMENT
More informationHamburger Beiträge zur Angewandten Mathematik
Hamburger Beiträge zur Angewandten Matematik Optimal L 2 velocity error estimates for a modified pressure-robust Crouzeix-Raviart Stokes element A. Linke, C. Merdon und W. Wollner Tis preprint is also
More informationAdaptive Finite Element Method
39 Capter 3 Adaptive inite Element Metod 31 Introduction As already pointed out in capter 2, singularities occur in interface problems Wen discretizing te problem (221) wit inite Elements, te singularities
More informationFourier Type Super Convergence Study on DDGIC and Symmetric DDG Methods
DOI 0.007/s095-07-048- Fourier Type Super Convergence Study on DDGIC and Symmetric DDG Metods Mengping Zang Jue Yan Received: 7 December 06 / Revised: 7 April 07 / Accepted: April 07 Springer Science+Business
More informationAN EFFICIENT AND ROBUST METHOD FOR SIMULATING TWO-PHASE GEL DYNAMICS
AN EFFICIENT AND ROBUST METHOD FOR SIMULATING TWO-PHASE GEL DYNAMICS GRADY B. WRIGHT, ROBERT D. GUY, AND AARON L. FOGELSON Abstract. We develop a computational metod for simulating models of gel dynamics
More informationNumerical Analysis of the Double Porosity Consolidation Model
XXI Congreso de Ecuaciones Diferenciales y Aplicaciones XI Congreso de Matemática Aplicada Ciudad Real 21-25 septiembre 2009 (pp. 1 8) Numerical Analysis of te Double Porosity Consolidation Model N. Boal
More informationSuperconvergence of energy-conserving discontinuous Galerkin methods for. linear hyperbolic equations. Abstract
Superconvergence of energy-conserving discontinuous Galerkin metods for linear yperbolic equations Yong Liu, Ci-Wang Su and Mengping Zang 3 Abstract In tis paper, we study superconvergence properties of
More informationA UNIFORM INF SUP CONDITION WITH APPLICATIONS TO PRECONDITIONING
A UNIFORM INF SUP CONDIION WIH APPLICAIONS O PRECONDIIONING KEN ANDRE MARDAL, JOACHIM SCHÖBERL, AND RAGNAR WINHER Abstract. A uniform inf sup condition related to a parameter dependent Stokes problem is
More informationDecay of solutions of wave equations with memory
Proceedings of te 14t International Conference on Computational and Matematical Metods in Science and Engineering, CMMSE 14 3 7July, 14. Decay of solutions of wave equations wit memory J. A. Ferreira 1,
More informationDedicated to the 70th birthday of Professor Lin Qun
Journal of Computational Matematics, Vol.4, No.3, 6, 4 44. ACCELERATION METHODS OF NONLINEAR ITERATION FOR NONLINEAR PARABOLIC EQUATIONS Guang-wei Yuan Xu-deng Hang Laboratory of Computational Pysics,
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationBALANCING DOMAIN DECOMPOSITION FOR PROBLEMS WITH LARGE JUMPS IN COEFFICIENTS
MATHEMATICS OF COMPUTATION Volume 65, Number 216 October 1996, Pages 1387 1401 BALANCING DOMAIN DECOMPOSITION FOR PROBLEMS WITH LARGE JUMPS IN COEFFICIENTS JAN MANDEL AND MARIAN BREZINA Abstract. Te Balancing
More informationarxiv: v1 [math.na] 27 Jan 2014
L 2 -ERROR ESTIMATES FOR FINITE ELEMENT APPROXIMATIONS OF BOUNDARY FLUXES MATS G. LARSON AND ANDRÉ MASSING arxiv:1401.6994v1 [mat.na] 27 Jan 2014 Abstract. We prove quasi-optimal a priori error estimates
More informationVariational Localizations of the Dual Weighted Residual Estimator
Publised in Journal for Computational and Applied Matematics, pp. 192-208, 2015 Variational Localizations of te Dual Weigted Residual Estimator Tomas Ricter Tomas Wick Te dual weigted residual metod (DWR)
More informationA Study on Using Hierarchical Basis Error Estimates in Anisotropic Mesh Adaptation for the Finite Element Method
A Study on Using Hierarcical Basis Error Estimates in Anisotropic Mes Adaptation for te Finite Element Metod Lennard Kamenski arxiv:06.603v3 [mat.na] 20 Jan 202 Abstract: A common approac for generating
More informationFinancial Econometrics Prof. Massimo Guidolin
CLEFIN A.A. 2010/2011 Financial Econometrics Prof. Massimo Guidolin A Quick Review of Basic Estimation Metods 1. Were te OLS World Ends... Consider two time series 1: = { 1 2 } and 1: = { 1 2 }. At tis
More informationOptimal iterative solvers for linear nonsymmetric systems and nonlinear systems with PDE origins: Balanced black-box stopping tests
Optimal iterative solvers for linear nonsymmetric systems and nonlinear systems wit PDE origins: Balanced black-box stopping tests Pranjal, Prasad and Silvester, David J. 2018 MIMS EPrint: 2018.13 Mancester
More informationAN ANALYSIS OF NEW FINITE ELEMENT SPACES FOR MAXWELL S EQUATIONS
Journal of Matematical Sciences: Advances and Applications Volume 5 8 Pages -9 Available at ttp://scientificadvances.co.in DOI: ttp://d.doi.org/.864/jmsaa_7975 AN ANALYSIS OF NEW FINITE ELEMENT SPACES
More informationThe derivative function
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative
More informationDifferential equations. Differential equations
Differential equations A differential equation (DE) describes ow a quantity canges (as a function of time, position, ) d - A ball dropped from a building: t gt () dt d S qx - Uniformly loaded beam: wx
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More informationarxiv: v1 [math.na] 11 May 2018
Nitsce s metod for unilateral contact problems arxiv:1805.04283v1 [mat.na] 11 May 2018 Tom Gustafsson, Rolf Stenberg and Jua Videman May 14, 2018 Abstract We derive optimal a priori and a posteriori error
More information3.1 Extreme Values of a Function
.1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find
More informationCS522 - Partial Di erential Equations
CS5 - Partial Di erential Equations Tibor Jánosi April 5, 5 Numerical Di erentiation In principle, di erentiation is a simple operation. Indeed, given a function speci ed as a closed-form formula, its
More informationGrad-div stabilization for the evolutionary Oseen problem with inf-sup stable finite elements
Noname manuscript No. will be inserted by te editor Grad-div stabilization for te evolutionary Oseen problem wit inf-sup stable finite elements Javier de Frutos Bosco García-Arcilla Volker Jon Julia Novo
More informationGRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES
GRID CONVERGENCE ERROR ANALYSIS FOR MIXED-ORDER NUMERICAL SCHEMES Cristoper J. Roy Sandia National Laboratories* P. O. Box 5800, MS 085 Albuquerque, NM 8785-085 AIAA Paper 00-606 Abstract New developments
More informationTaylor Series and the Mean Value Theorem of Derivatives
1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential
More informationFinite Difference Methods Assignments
Finite Difference Metods Assignments Anders Söberg and Aay Saxena, Micael Tuné, and Maria Westermarck Revised: Jarmo Rantakokko June 6, 1999 Teknisk databeandling Assignment 1: A one-dimensional eat equation
More informationMath 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006
Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2
More information