Discrete Energy Laws for the First-Order System Least-Squares Finite-Element Approach
|
|
- Griffin Wade
- 5 years ago
- Views:
Transcription
1 Discrete Energy Laws for te First-Order System Least-Sqares Finite-Element Approac J. H. Adler (B),I.Lask, S. P. MacLaclan, and L. T. Zikatanov 3 Department of Matematics, Tfts University, Medford, MA 55, USA james.adler@tfts.ed, ilya.lask@gmail.com Department of Matematics and Statistics, Memorial University of Newfondland, St. Jon s, NL AC 5S7, Canada smaclaclan@mn.ca 3 Department of Matematics, Penn State, University Park, PA 68, USA ldmil@ps.ed Abstract. Tis paper analyzes te discrete energy laws associated wit first-order system least-sqares (FOSLS) discretizations of timedependent partial differential eqations. Using te eat eqation and te time-dependent Stokes eqation as examples, we discss ow accrately a FOSLS finite-element formlation aderes to te nderlying energy law associated wit te pysical system. Using reglarity argments involving te initial condition of te system, we are able to give bonds on te convergence of te discrete energy law to its expected vale (zero in te examples presented ere). Nmerical experiments are performed, sowing tat te discrete energy laws old wit order O ( p),were is te mes spacing and p is te order of te finite-element space. Ts, te energy law conformance is eld wit a iger order tan te expected, O ( p ), convergence of te finite-element approximation. Finally, we introdce an abstract framework for analyzing te energy laws of general FOSLS discretizations. Introdction First-order system least sqares (FOSLS) is a finite-element metodology tat aims to reformlate a set of partial differential eqations (PDEs) as a system of first-order eqations [8,9]. Te problem is posed as a minimization of a fnctional in wic te first-order differential terms appear qadratically, so tat te fnctional norm is eqivalent to a norm meaningfl for te given problem. In eqations of elliptic type, tis is sally a prodct H norm. Some of te compelling featres of te FOSLS metodology inclde: self-adjoint discrete eqations stemming from te minimization principle; good operator conditioning stemming from te se of first-order formlations of te PDE; and finite-element and mltigrid performance tat is optimal and niform in certain parameters (e.g., Reynolds nmber for te Navier-Stokes eqations), stemming from niform prodct-norm eqivalence. c Springer International Pblising AG 8 I. Lirkov and S. Margenov (Eds.): LSSC 7, LNCS 665, pp. 3, 8. ttps://doi.org/.7/ _
2 4 J.H.Adleretal. Sccessfl FOSLS formlations ave been developed for a variety of applications [5, 7]. One example of a large-scale pysical application is in magnetoydrodynamics (MHD) [ 3]. Tese nmerical metods ave led to sbstantial improvements in MHD simlation tecnology; owever, several important estimates remain to be analyzed to confirm teir qantitive accracy. One of tese is te energy of te system. Using an energetic-variational approac [ 3, 5], energy laws of te MHD system can be derived tat sow tat te total energy sold decay as a direct reslt of te dissipation in te system. Initial comptations sow tat te FOSLS metod indeed captres tis energy law, bt it remains to be sown wy it sold. In tis paper, we describe te discrete energy laws associated wit FOSLS discretizations of time-dependent PDEs, sc as te eat eqation or Stokes eqation, and sow qantitatively ow tey are related to te continos pysical law. Wile we only sow reslts for tese simple linear systems, te reslts appear generalizable to more complicated systems, sc as MHD. Getting te correct energy law is not only important for nmerical stability, bt it is crcial for captring te correct pysics, especially if singlarities or ig contrasts in te soltion are present. Te paper is otlined as follows. In Sect., we discss te energy laws of a given system and describe teir discrete analoges. Section 3 analyzes te energy laws associated wit te FOSLS discretizations of te eat eqation, and te same is done for Stokes eqations in Sect. 4. For bot examples, we present nmerical simlations in Sect. 5. Finally, we discss a generalization of te concepts presented ere in Sect. 6, and some conclding remarks in Sect. 7. Energy Laws Te energetic-variational approac (EVA) [ 3, 5] of ydrodynamic systems in complex flids is based on te second law of termodynamics and relies on te fndamental principle tat te cange in te total energy of a system over time mst eqal te total dissipation of te system. Tis energy principle plays a crcial role in nderstanding te interactions and copling between different scales or pases in a complex flid. In general, any set of eqations tat describe te system can be derived from te nderlying energy laws. Te energetic variational principle is based on te energy dissipation law for te wole copled system: E total = D, () t were E total is te total energy of te system, and D is te dissipation. Simple flids, were we assme no internal (or elastic) energies, can also be described in tis setting and yield te following energy law: ( ) dx = ν dx, () t Ω Ω
3 Energy Laws for FOSLS 5 were represents te flid velocity and ν is te flid viscosity, acconting for te dissipation in te system. Applying te so-called least-action principle reslts in te integral eqation, t + p, y = ν, y, y V, were we assme an incompressible flid, =, and an appropriate Hilbert space, V. Here, we se, to denote te L (Ω) inner prodct. In strong form, we obtain te time-dependent Stokes eqations (assming appropriate bondary conditions): + p ν =, (3) t =. (4) Note tat te energy law can also be derived directly from te PDE itself. First, we consider te weak form of (3) (4), mltiplying (3) by and (4) byp and integrate over Ω. After integration by parts we obtain te following relations: = + p ν, +,p t = t, + p, ν, +,p =, + p, + ν,, p. t Here, we ave assmed tat te bondary conditions are sc tat te bondary terms, reslting from te integration by parts, vanis. Hence, we ave, = ν,. t Tis approac can also be applied to oter PDEs, sc as te eat eqation, to sow similar energy dissipation relations. Let ν be te termal diffsivity of te body Ω, and its temperatre. Ten te PDE describing te temperatre distribtion in Ω is as follows, ν =, on Ω, =, on Ω. (5) t As before, we mltiply (5) by and integrate over Ω to obtain tat = t ν, = t, ν, =, + ν, t Hence,, = ν,, t wic is te scalar version of ().
4 6 J.H.Adleretal. For te remainder of te paper, we analyze (), specifically ow closely te FOSLS metod can approximate te energy law discretely. We will consider bot te scalar (eat eqation) and te vector version (Stokes eqation) in te nmerical reslts, as te form of te energy law is identical. First, we discss ow moving to a finite-dimensional space affects te energy law. 3 Heat Eqation First, we consider te eat eqation, assming a constant diffsion coefficient ν = for simplicity, omogeneos Diriclet bondary conditions, and a given initial condition: (x,t) = Δ(x,t) x Ω, t > (6) t (x,t)= x Ω, t (7) (x, ) = (x) x Ω. (8) To discretize te problem in time, we consider a symplectic, or energy-conserving, time-stepping sceme sc as Crank-Nicolson. Given a time step size,, and time t n = n, we approximate n = (x,t n ) wit te following semi-discrete version of (6), n = Δ + Δ n To simplify te calclations later, we introdce an intermediate approximation,, and re-write te semi-discrete problem as n ( ) = Δ (x) = x Ω, n =,,,... (9) = n Remark. To obtain te semi-discrete energy law for (9), we perform a similar procedre as done in Sect., were we mltiply te first eqation in (9) by and integrate over te domain. After some simple calclations, we obtain te corresponding energy law, sing L norm notation: n = () To se te FOSLS metod, we now pt te operator into a first-order system. Since we ave redced te problem to a reaction-diffsion type problem, we introdce a new vector V =, and se te H -elliptic eqivalent system [8,9]: ( ) L = V V + V V = n. ()
5 Energy Laws for FOSLS 7 Note tat Diriclet bondary conditions on te continos soltion,, gives rise to tangential bondary conditions on V, V n =, were n is te normal vector to te bondary. Next, we consider a finite-dimensional sbspace of a prodct H space, V, and perform te FOSLS minimization of () overv : ( ) ( ), V = arg min (,V ) V L n V, = n. For eac n, te above minimization reslts in te following weak set of eqations: ( ) L V n,l φ = φ V, () were te inner prodcts and norms are all in L (scalar or vector, depending on context), nless oterwise noted. Note, tat wit te introdction of V, te discrete form of te FOSLS energy law can now be written, n V, as. (3) Te goal of te remainder of tis Section is to sow ow well tis energy law is satisfied. To do so, we make se of te following assmption. Assmption. Assme tat te initial condition is smoot enog and te projection onto te finite-element space as te following property, H C p H p+, were p is te order of te finite-element space being considered. Ten, sing standard reglarity estimates we obtain te following Lemma. Lemma. Let { i } i=,,... be a seqence of semi-discrete soltions to (9). Ten, for any sccessive time steps, tere exists a constant C>, sc tat H p C n H p A conseqence of tis reglarity estimate is a bond on te error in te approximation. Lemma. Let f H p H and let te pair (, V ) V solve ( ) ( ) V = arg min (,V ) V L f V.
6 8 J.H.Adleretal. Let û be te exact soltion of te corresponding PDE, i.e., Δû + û = f û = in Ω, on Ω. Ten, û H C()p f H p, were te constant C() may also depend on. Proof. For a fixed, te PDE is a reaction-diffsion eqation. Terefore, standard reslts from te FOSLS discretization of reaction-diffsion can be sed [8,9]. Note tat for a standard FOSLS approac, C() =O ( ), bt a rescaling of te eqations may ameliorate tis worst-case scenario. Next, we make te following observation, wic follows from te wellposedness of te FOSLS formlation [8, 9]. Lemma 3. Let (, V ) V and (, V ) V be two soltions to te following FOSLS weak forms wit different rigt-and sides, ( ) ( ) L F V,L φ =, L F V,L φ = φ V. Ten, H + V V H C() F F. Tis, ten, yields te following reslt. Lemma 4. Given te soltion to te semi-discrete Eq. (9), and te flly discrete soltion, we can bond te error in te L norm: C () p n H p + C () n n. (4) ( ) Proof. Let ũ be te scalar part of te FOSLS soltion ũ, Ṽ of Δ + = n, in Ω, =on Ω, (5) were te exact semi-discrete soltion n, at te previos time step, is sed in te rigt-and side. By te triangle ineqality, ũ + ũ. (6) By Lemma 3, weave ũ ũ V + H Ṽ H C () (7) n n.
7 Energy Laws for FOSLS 9 Te fnctions ũ and are, respectively, FOSLS and exact soltions of te same bondary vale problem (5). Hence, from Lemma, weave ũ C() p n H p Combining (6), (7) and (8), we obtain (4). C() p n H p (8) Finally, we ave te following reslt on te approximation of te exact energy law (3). ( ) Teorem. Let n be te soltion to te FOSLS system, (), attime step n (wit n V n and V defined as before). Tere exists C() > sc tat + V C() n n min φ V V L φ. Proof. To simplify te notation, define te energy law we wis to bond as Note tat and V n = E n := n = n, + V. = n, V, + V, V, were te latter eqation is obtained by integration by parts, continity of te spaces, and appropriate bondary conditions. Ts, En = V + Using (), for any φ V, n ( ) En = L V, = n, + V, V L ( V, V ) n L φ., V.
8 J. H. Adler et al. Next, consider adding and sbtracting te soltions to te semi-discrete, (), and flly discrete, (), FOSLS system from te previos time step, ( ) En = L V n + n n, V L φ n n, V L φ ( ) = L V n, V L φ n n, V L φ ( ) L V n M n + M n n n, were we ave defined Mn := min V φ V L φ. Ten, adding and ( ) sbtracting L yields V En L ( V V ) ( ) + L n V M n + M n Using te continity of L, followed by Lemma 3, gives ( ) En C()M n + V M n C() M n V H n n + M n Combining te two terms completes te proof. n n. n n n n. To provide a better bond for te FOSLS energy law (3), we introdce a measre for te trncation error defined as (v) δ n = max min V (v) v H p+ (Ω) v H p+ φ V Lφ, (9)
9 Energy Laws for FOSLS were (v) andv (v) are te corresponding soltions to te flly discrete problem wit = v as te initial condition. Corollary. Using te same assmptions as Teorem and Assmption, n + V C()δ p H p+, δ = max n δ n. () Proof. Using te definitions of Lemma 4, and, te triangle ineqality, and An indction argment ten gives n n C () p Wit Assmption, n n C () p n j= n j= + n n Using some reglarity argments for eac i, we get, C () p n H p +(C ()+) n n. (C ()+) j n j H p +(C ()+) n. (C ()+) j n j H p +(C ()+) n H p+. n n C(n) p H p+. Ten, wit te definition of δ and te reslt from Teorem, te proof is complete. We note tat te bond in Corollary is a rater pessimistic one. At a fixed time, t, we expect te qality of bot te flly discrete and semi-discrete approximations to te tre soltion to improve as and more time-steps are sed to reac time t; ts, n n sold decrease as forn = t/. Frtermore, for te nforced eat eqation, we expect bot n and n to decrease in magnitde wit n, bt tis is not acconted for in te bond in Corollary. Te bond above worsens wit smaller and bigger n, sowing te limitations of bonding n n by terms depending only on and te finite-element space. Remark. As sown in te nmerical experiments, Sect. 5, te constant δ defined in (9) is of order p for a smoot soltion. Tis indicates tat te energy law (3) olds wit order O ( p). Wile te teoretical jstification of sc statement may be plasible, it is nontrivial as te discrete qantities involved in te definition of δ do not possess enog reglarity (tey are jst finite-element fnctions, only in H ).
10 J. H. Adler et al. 4 Stokes Eqations Next, we retrn to te time-dependent Stokes eqations, (3) (4). For simplicity, we again assme ν =, and rewrite te eqations sing Diriclet bondary conditions for te normal components of te velocity field, and zero-mean average for te pressre field, (x,t) t Δ(x,t)+ p(x,t)= x Ω, t > () Ω (x,t)= x Ω, t > () n (x,t)= x Ω, t (3) (x, ) = g(x) x Ω, (4) p(x,t)dv = t. (5) Using a similar semi-discretization in time wit Crank-Nicolson tat was done in (9) yields n ( ) Δ + p =, =, n (x) = x Ω, p dv = n, Ω = n, p =p p n. (6) To se te FOSLS metod, we pt te operator into a first-order system in a similar fasion to te eat eqation. Least-sqares formlations are well-stdied for Stokes system and we consider a simple, velocity-gradient-pressre formlation, were a new gradient tensor, V =, is sed to obtain an H -elliptic eqivalent system [4, 6, 4]: L V p V + p + = V = V trv n. (7) Appropriate bondary conditions on te continos soltion, sc as n =, gives rise to tangential bondary conditions on V, V n =, were n is te normal vector to te bondary. Ultimately, te corresponding semi-discrete energy law is n = V. (8)
11 Energy Laws for FOSLS 3 Finally, we minimize te residal of (7) over a finite-dimensional sbspace of te prodct H Sobolev space in te L norm obtaining te weak eqations, n L V p,l φ = φ V. (9) Note tat te weak system is similar to () and te energy law is identical to (3) in vector form. Ts, all te above teory still olds sbject to enog reglarity of te soltion to te time-dependent Stokes eqations [, ] and a sitable generalization of te definition of δ. 5 Nmerical Experiments For te nmerical reslts presented ere, we se a C++ implementation of te FOSLS algoritm, sing te modlar finite-element library MFEM [] for managing te discretization, mes, and timestepping. Te linear systems are solved by direct metod sing te UMFPACK package []. 5. Heat Eqation First, we consider te eat Eq. (6), and its discrete FOSLS formlation, (), on a trianglation of Ω =(, ) (, ). Te data is cosen so tat te tre soltion is (x, y, t) =sin(πx)sin(πy)e πt. Note tat tis soltion satisfies te bondary conditions and oter assmptions discssed above. Energy Law Error p = p = p =3 convergence 4 convergence 6 convergence 4 6 # Refinement Levels, Fig.. Energy law error, (3), vs. nmber of mes refinements, l ( = ), for te l FOSLS discretization of te eat eqation, (), sing varios orders of te finiteelement space (p = - linear; p = - qadratic; and p = 3 - cbic). One time step is performed wit =.5.
12 4 J. H. Adler et al. Figre displays te convergence of te energy law to zero as te mes is refined for a fixed time step. Te convergence is O ( p), were p is te order of te finite-element space being considered, confirming Teorem. It also sggests tat te constant δ is O ( p ), as is remarked above. Energy Law Error 4 8 Energy Law Error 4 7 p = p = p = # Time Steps, n Time Step Size, (a) (b) Fig.. Energy law error, (3), vs. (a) nmber of time steps, n (wit fixed =.5), and (b) time step size,, for te FOSLS discretization of te eat eqation, (), sing varios orders of te finite-element space (p = - linear; p = - qadratic; and p = 3 - cbic). Mes spacing is = 3. Figre indicates ow te timestepping affects te convergence of te energy law. As discssed above, taking more time steps decreases te error in te energy law, sowing tat we can improve te reslts on te bond, n n. Onte oter and, if only one time step is taken, te convergence sligtly worsens for small, wic is consistent wit te constants fond in Teorem and Corollary. 5. Stokes Eqations Next, we consider Stokes Eqations, (), and te FOSLS discretization described above, (9). Te same domain, Ω =(, ) (, ), is sed, and we assme data tat yields te exact soltion, ( ) sin(πx)cos(πy) (x,t)= e πt, cos(πx)sin(πy) p(x,t)=. Tis prodces a C soltion tat satisfies te appropriate bondary conditions and reglarity argments needed for te bonds on te energy law described above.
13 Energy Laws for FOSLS 5 Similarly to te eat eqation, Fig. 3 compares te convergence of te energy law to zero as te mes is refined for a fixed time step. Again, we see tat te convergence is O ( p), were p is te order of te finite-element space being considered, confirming tat Teorem can also be applied to te time-dependent Stokes eqations. Ts, te FOSLS discretization can adere to te energy law for flid-type systems, and as te potential for captring te relevant pysics of oter complex flids. Energy Law Error p = p = p =3 convergence 4 convergence 6 convergence 4 6 # Refinement Levels, Fig. 3. Energy law error, (8), vs. nmber of mes refinements, l ( = ), for te l FOSLS discretization of te Stokes eqation, (7), sing varios orders of te finiteelement space (p = - linear; p = - qadratic; and p = 3 - cbic). One time step is performed wit =.5. Energy Law Error 4 8 Energy Law Error 4 7 p = p = p = # Time Steps, n Time Step Size, (a) (b) Fig. 4. Energy law error, (8), vs. (a) nmber of time steps, n (wit fixed =.5), and (b) time step size,, for te FOSLS discretization of te Stokes eqation, (7), sing varios orders of te finite-element space (p = - linear; p = - qadratic; and p = 3 - cbic). Mes spacing is = 3.
14 6 J. H. Adler et al. Figre 4 again confirms ow we expect te timestepping to affect te convergence of te energy law. Taking more time steps decreases te error in te energy law, wile te convergence sligtly worsens for small. Tese reslts also igligt te similarities between te energy laws of te eat eqation and te time-dependent Stokes eqations. Since bot ave nderlying energy laws tat are similar, te FOSLS discretization is capable of captring bot wit ig accracy. 6 Discssion: General Discrete Energy Laws Te above reslts sow tat FOSLS discretizations of two specific PDEs yield iger-order approximation of teir nderlying energy laws. In tis section, we give a more general reslt, wic sggests ideas for extending tis teory for oter discrete energy laws sing FOSLS discretizations. 6. FOSLS Discrete Energy Laws As encontered earlier, an energy law is an integral relation of te form: L, =, for (x, ) = (x), (3) were L : Ṽ Ṽ is a linear operator (tat involves bondary conditions), Ṽ is a fnction space, and Ṽ is te soltion to L =, (x, ) =, for example: L = t Δ. (3) To matc te time-dependent problems considered in earlier sections, Ṽ corresponds to a comptational domain tat involves bot space and time, or as is often dbbed, a space-time domain: Ω = Ω [,T]. Frter, we define a finite-dimensional space, Ṽ on Ω corresponding to a trianglation of tis spacetime domain, as well as a stationary finite-dimensional space, V,fort =. Regarding sc space-time discrete spaces and te related constrctions, we refer te reader to te classical works by Jonson et al. [6,7], to [9] for space-time least sqares formlations, and to [8] for space-time iso-geometric analysis and a compreensive literatre review. To present te FOSLS discretization in an abstract setting, we define an extension of to te wole of Ω. Witot loss of generality, we assme tat te initial condition is a piecewise polynomial and, more precisely, V. Hence, we define te extension w Ṽ of so tat w (x, ) = (x). Tis gives a non-omogenos problem wit zero initial gess, wic is eqivalent to (3). Its weak form is: Find Ṽ sc tat for all v Ṽo tere olds = ϕ + w, were Lϕ, v = Lw,v, (3)
15 Energy Laws for FOSLS 7 Here, te space, Ṽo, is te sbspace of Ṽ of fnctions wit vanising trace at t = (zero initial condition). In a typical FOSLS setting, for te eat eqation, is a vector-valed fnction and te extension w needs to be modified accordingly. We ten ave te following space-time FOSLS discrete problem: Find Ṽ sc tat for all v Ṽ,o tere olds = w + ϕ, were, Lϕ, Lv = Lw, Lv. (33) Restricting Ṽ to a finite-element space-time space, Ṽ Ṽ, reslts in a restriction of L on Ṽ, wic is often called te discrete operator. In te following, we keep L, in all estimates allowing for a nonomogenos rigt-and side in (3). We now estimate te error in te energy law, namely te difference L, L,. Teorem. If Ṽ is te FOSLS soltion of (33). Ten, te following estimate olds: L, L, C p H p+. (34) Proof. For te left side of (34) weave L, L, = L, L, + L( ), = L, + L( ),. Using te continity of L and te standard error estimates for te FOSLS discretization, L, L, L, + L( ), C H ( H + H ) C p H p+. Tis concldes te proof. 6. Exact Discrete Energy Law Next, we provide a necessary and sfficient condition for te FOSLS discretization to exactly satisfy an energy law, namely conditions nder wic we ave L, = L,. Recall te assmption tat V. Consider two standard projections on te finite-element space, Ṽ,o: () te Galerkin projection Π : Ṽ Ṽ,o; and () te L ( Ω)-ortogonal projection, Q : L ( Ω) Ṽ,o. Tese operators are defined in a standard fasion: LΠ, v := L, v, for all v Ṽ,o and Ṽ, Q, v :=, v, for all v Ṽ,o and L ( Ω). Consider a well-known identity (see for example [3] for te case of symmetric L) relating Π and Q, wic is sed in te later proof of Teorem 3.
16 8 J. H. Adler et al. Lemma 5. Te projections Q and Π satisfy te relation L Π = Q L, (35) were L : Ṽ Ṽ is te restriction of L on Ṽ, namely, L v,w = Lv,w, for all v,w Ṽ. Proof. Te reslt easily follows from te definitions of Q, Π, L, and te fact tat L Π v Ṽ. Forv Ṽ, andw Ṽ we ave L Π v, w = L Π v, Q w = LΠ v, Q w = Lv, Q w = Q Lv, Q w = Q Lv, w. Tis completes te proof. Note tat we se Q χ = Π χ = χ for all χ Ṽ,o. In general, sc an identity is not tre for χ Ṽ. However, we can relate te soltion to (33) toa discrete analoge of te energy law (3) sing Lemma 5. Frter, notice tat te FOSLS soltion,, satisfies L, Lχ = only for χ Ṽ,o corresponding to a zero initial gess. Ts, it is not obvios ow to estimate L, L,. Teorem 3. Te soltion of (33) satisfies te discrete energy law L, = L, if and only if tere exists a w Ṽ satisfying te initial condition w (x, ) = (x) and if L,w = L,. Proof. Let w Ṽ be any extension of V in Ω, tatis,w satisfies te initial condition. Te following relations follow directly from te definitions given earlier, Eq. (33), and Lemma 5. L, = L, ( w ) + L,w }{{} Ṽ,o = L,Q ( w ) + L,w = L,Q LL ( w ) + L,w = L, L Π L ( w ) }{{} v Ṽ,o + L,w = L,w. In te last identity, we se te fact tat v = Π L ( w ) is an element of Ṽ,o and te first term on te rigt side vanises (by Eq. (33)). As a reslt, we ave L, L, = L, L,w. wic gives te desired necessary and sfficient condition.
17 Energy Laws for FOSLS 9 From te proof, we immediately obtain te following relation, L, L, =inf w { L, L,w,w (, ) = }. (36) In addition to te estimate in Teorem, it is plasible tat one can se te rigt side of (36) to obtain a sarper reslt. Wile tis is beyond te scope of tis paper, some comments are in order. Te difficlties associated wit eac particlar case in and (eat eqation, Stokes eqation, etc.) amont to estimating te qantity on te rigt side of (36) and sc estimates depend on te spaces cosen for discretization and ow well te timestepping approximates te space-time formlation. Sarper estimates on te error in discrete energy law, wic ses (36), can lead to sarper bonds on te constant defined in (9). 7 Conclsions In tis work, we ave sown nmerically tat convergence of te discrete energy law is of order iger tan te finite-element approximation order for two typical transient problems. Ts, wile it is known tat te FOSLS metod may ave isses wit aderence to some conservation laws (i.e., mass conservation), energy conservation is not sc an isse, and can be satisfied wit ig accracy. Te rigoros teoretical jstification of sc claims are topics of crrent and ftre researc. Acknowledgements. Te work of J. H. Adler was spported in part by NSF DMS I. V. Lask was spported in part by NSF DMS-697 (Tfts University) and DMS (Penn State). S. P. MacLaclan was partially spported by an NSERC Discovery Grant. Te researc of L. T. Zikatanov was spported in part by NSF DMS-74 and te Department of Matematics at Tfts University. References. Adler, J.H., Manteffel, T.A., McCormick, S.F., Nolting, J.W., Rge, J.W., Tang, L.: Efficiency based adaptive local refinement for first-order system least-sqares formlations. SIAM J. Sci. Compt. 33(), 4 (). ttp://dx.doi.org/.37/ Adler, J.H., Manteffel, T.A., McCormick, S.F., Rge, J.W.: First-order system least sqares for incompressible resistive magnetoydrodynamics. SIAM J. Sci. Compt. 3(), 9 48 (). ttp://dx.doi.org/.37/ Adler, J.H., Manteffel, T.A., McCormick, S.F., Rge, J.W., Sanders, G.D.: Nested iteration and first-order system least sqares for incompressible, resistive magnetoydrodynamics. SIAM J. Sci. Compt. 3(3), (). ttp://dx.doi.org/.37/ Bocev, P., Cai, Z., Manteffel, T.A., McCormick, S.F.: Analysis of velocity-flx first-order system least-sqares principles for te Navier- Stokes eqations. I. SIAM J. Nmer. Anal. 35(3), 99 9 (998). ttp://dx.doi.org/.37/s Bocev, P., Gnzbrger, M.: Analysis of least-sqares finite element metods for te Stokes eqations. Mat. Compt. 63(8), (994)
18 J. H. Adler et al. 6. Bocev, P., Manteffel, T.A., McCormick, S.F.: Analysis of velocity-flx leastsqares principles for te Navier-Stokes eqations. II. SIAM J. Nmer. Anal. 36(4), 5 44 (999). (Electronic). ttp://dx.doi.org/.37/s Bramble, J.H., Kolev, T.V., Pasciak, J.: A least-sqares approximation metod for te time-armonic Maxwell eqations. J. Nmer. Mat. 3, (5) 8. Cai, Z., Lazarov, R., Manteffel, T.A., McCormick, S.F.: First-order system least sqares for second-order partial differential eqations. I. SIAM J. Nmer. Anal. 3(6), (994). ttp://dx.doi.org/.37/ Cai, Z., Manteffel, T.A., McCormick, S.F.: First-order system least sqares for second-order partial differential eqations. II. SIAM J. Nmer. Anal. 34(), (997). ttp://dx.doi.org/.37/s Davis, T.A.: Algoritm 83: Umfpack v4.3 an nsymmetric-pattern mltifrontal metod. ACM Trans. Mat. Softw. 3(), (4). ttp://doi.acm.org/.45/ Feng, J., Li, C., Sen, J., Ye, P.: A energetic variational formlation wit pase field metods for interfacial dynamics of complex flids: advantages and callenges. In: Calderer, M.C.T., Terentjev, E.M. (eds.) Modeling of Soft Matter. Te IMA Volmes in Matematics and its Applications, vol. 4, pp. 6. Springer, New York (5). ttps://doi.org/.7/ Gelfand, I.M., Fomin, S.V.: Calcls of Variations. Prentice-Hall Inc., Englewood Cliffs (963). Revised Englis edition translated and edited by R.A. Silverman 3. Giralt, V., Raviart, P.A.: Finite Element Approximation of te Navier-Stokes Eqations. LNM, vol Springer, Berlin (979). ttps://doi.org/.7/ BFb Heys, J.J., Lee, E., Manteffel, T.A., McCormick, S.F.: An alternative leastsqares formlation of te Navier-Stokes eqations wit improved mass conservation. J. Compt. Pys. 6(), (7). ttp://dx.doi.org/.6/ j.jcp Hyon, Y., Kwak, D.Y., Li, C.: Energetic variational approac in complex flids: maximm dissipation principle. Discret. Contin. Dyn. Syst. 6(4), 9 34 (). ttp://dx.doi.org/.3934/dcds Jonson, C.: Nmerical Soltion of Partial Differential Eqations by te Finite Element Metod. Dover Pblications Inc., Mineola (9). Reprint of te 987 edition 7. Jonson, C., Nävert, U., Pitkäranta, J.: Finite element metods for linear yperbolic problems. Compt. Metods Appl. Mec. Eng. 45( 3), 85 3 (984). ttp://dx.doi.org/.6/45-785(84) Langer, U., Moore, S.E., Nemüller, M.: Space-time isogeometric analysis of parabolic evoltion problems. Compt. Metods Appl. Mec. Eng. 36, (6). ttp://dx.doi.org/.6/j.cma Masd, A., Hges, T.J.R.: A space-time Galerkin/least-sqares finite element formlation of te Navier-Stokes eqations for moving domain problems. Compt. Metods Appl. Mec. Eng. 46( ), 9 6 (997). ttp://dx.doi.org/.6/ S45-785(96)-4. MFEM: Modlar finite element metods library (6). ttp://mfem.org. Solonnikov, V.A.: Estimates for soltions of a non-stationary linearized system of Navier-Stokes eqations. Trdy Mat. Inst. Steklov. 7, 3 37 (964). Solonnikov, V.A.: On bondary vale problems for linear parabolic systems of differential eqations of general form. Trdy Mat. Inst. Steklov. 83, 3 63 (965) 3. X, J.: Iterative metods by space decomposition and sbspace correction. SIAM Rev. 34(4), (99). ttp://dx.doi.org/.37/346
Numerical methods for the generalized Fisher Kolmogorov Petrovskii Piskunov equation
Applied Nmerical Matematics 57 7 89 1 www.elsevier.com/locate/apnm Nmerical metods for te generalized Fiser Kolmogorov Petrovskii Pisknov eqation J.R. Branco a,j.a.ferreira b,, P. de Oliveira b a Departamento
More informationNew Fourth Order Explicit Group Method in the Solution of the Helmholtz Equation Norhashidah Hj. Mohd Ali, Teng Wai Ping
World Academy of Science, Engineering and Tecnology International Jornal of Matematical and Comptational Sciences Vol:9, No:, 05 New Fort Order Eplicit Grop Metod in te Soltion of te elmoltz Eqation Norasida.
More information1. Introduction. In this paper, we are interested in accurate numerical approximations to the nonlinear Camassa Holm (CH) equation:
SIAM J. SCI. COMPUT. Vol. 38, No. 4, pp. A99 A934 c 6 Society for Indstrial and Applied Matematics AN INVARIANT PRESERVING DISCONTINUOUS GALERKIN METHOD FOR THE CAMASSA HOLM EQUATION HAILIANG LIU AND YULONG
More informationSuyeon Shin* and Woonjae Hwang**
JOURNAL OF THE CHUNGCHEONG MATHEMATICAL SOCIETY Volme 5, No. 3, Agst THE NUMERICAL SOLUTION OF SHALLOW WATER EQUATION BY MOVING MESH METHODS Syeon Sin* and Woonjae Hwang** Abstract. Tis paper presents
More informationarxiv: v1 [math.na] 2 Jan 2018
Linear iterative scemes for dobly degenerate parabolic eqations Jakb Wiktor Bot 1, Kndan Kmar 1, Jan Martin Nordbotten 1,2, Ili Sorin Pop 3,1, and Florin Adrian Rad 1 arxiv:1801.00846v1 [mat.na] 2 Jan
More informationOn the scaling of entropy viscosity in high order methods
On te scaling of entropy viscosity in ig order metods Adeline Kornels and Daniel Appelö Abstract In tis work, we otline te entropy viscosity metod and discss ow te coice of scaling inflences te size of
More informationAnalysis of Enthalpy Approximation for Compressed Liquid Water
Analysis of Entalpy Approximation for Compressed Liqid Water Milioje M. Kostic e-mail: kostic@ni.ed Nortern Illinois Uniersity, DeKalb, IL 60115-2854 It is cstom to approximate solid and liqid termodynamic
More informationAnalytic Solution of Fuzzy Second Order Differential Equations under H-Derivation
Teory of Approximation and Applications Vol. 11, No. 1, (016), 99-115 Analytic Soltion of Fzzy Second Order Differential Eqations nder H-Derivation Lale Hoosangian a, a Department of Matematics, Dezfl
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 informationPREDICTIVE CONTROL OF A PROCESS WITH VARIABLE DEAD-TIME. Smaranda Cristea*, César de Prada*, Robin de Keyser**
PREDICIVE CONROL OF A PROCESS WIH VARIABLE DEAD-IME Smaranda Cristea, César de Prada, Robin de Keyser Department of Systems Engineering and Atomatic Control Faclty of Sciences, c/ Real de Brgos, s/n, University
More informationThe Linear Quadratic Regulator
10 The Linear Qadratic Reglator 10.1 Problem formlation This chapter concerns optimal control of dynamical systems. Most of this development concerns linear models with a particlarly simple notion of optimality.
More informationDiscontinuous Fluctuation Distribution for Time-Dependent Problems
Discontinos Flctation Distribtion for Time-Dependent Problems Matthew Hbbard School of Compting, University of Leeds, Leeds, LS2 9JT, UK meh@comp.leeds.ac.k Introdction For some years now, the flctation
More informationLinear iterative schemes for doubly degenerate parabolic equations
Linear iterative scemes for dobly degenerate parabolic eqations Jakb Wiktor Bot, Kndan Kmar, Jan Martin Nordbotten, Ili Sorin Pop and Florin Adrian Rad UHasselt Comptational Matematics Preprint Nr. UP-17-11
More informationarxiv: v1 [physics.flu-dyn] 4 Sep 2013
THE THREE-DIMENSIONAL JUMP CONDITIONS FOR THE STOKES EQUATIONS WITH DISCONTINUOUS VISCOSITY, SINGULAR FORCES, AND AN INCOMPRESSIBLE INTERFACE PRERNA GERA AND DAVID SALAC arxiv:1309.1728v1 physics.fl-dyn]
More informationAdjoint-Based Sensitivity Analysis for Computational Fluid Dynamics
Adjoint-Based Sensitivity Analysis for Comptational Flid Dynamics Dimitri J. Mavriplis Department of Mecanical Engineering niversity of Wyoming Laramie, WY Motivation Comptational flid dynamics analysis
More informationDiscretization and Solution of Convection-Diffusion Problems. Howard Elman University of Maryland
Discretization and Soltion of Convection-Diffsion Problems Howard Elman University of Maryland Overview. Te convection-diffsion eqation Introdction and examples. Discretization strategies inite element
More informationAnalysis of a multiphysics finite element method for a poroelasticity model
IMA Jornal of Nmerical Analysis 2018 38, 330 359 doi: 10.1093/imanm/drx003 Advance Access pblication on Marc 22, 2017 Analysis of a mltipysics finite element metod for a poroelasticity model Xiaobing Feng
More information4 Exact laminar boundary layer solutions
4 Eact laminar bondary layer soltions 4.1 Bondary layer on a flat plate (Blasis 1908 In Sec. 3, we derived the bondary layer eqations for 2D incompressible flow of constant viscosity past a weakly crved
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 informationApplication of the Modified Log-Wake Law in Open-Channels
Jornal of Applied Flid Mecanics, Vol., No. 2, pp. 7-2, 28. Available online at www.jafmonline.net, ISSN 75-645. Application of te Modified Log-Wake Law in Open-Cannels Jnke Go and Pierre Y. Jlien 2 Department
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 informationA perturbation analysis of some Markov chains models with time-varying parameters
A pertrbation analysis of some Markov cains models wit time-varying parameters Lionel Trqet Abstract For some families of V geometrically ergodic Markov kernels indexed by a parameter, we stdy te existence
More informationUNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL
8th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING - 19-1 April 01, Tallinn, Estonia UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL Põdra, P. & Laaneots, R. Abstract: Strength analysis is a
More informationStudy of the diffusion operator by the SPH method
IOSR Jornal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-684,p-ISSN: 2320-334X, Volme, Isse 5 Ver. I (Sep- Oct. 204), PP 96-0 Stdy of the diffsion operator by the SPH method Abdelabbar.Nait
More informationDiffraction of Pulse Sound Signals on Elastic. Spheroidal Shell, Put in Plane Waveguide
Adv. Stdies Teor. Pys., Vol. 7, 3, no. 5, 697-75 HIKARI Ltd, www.m-ikari.com ttp://dx.doi.org/.988/astp.3.3554 Diffraction of Plse Sond Signals on Elastic Speroidal Sell, Pt in Plane Wavegide A. A. Klescev
More informationPulses on a Struck String
8.03 at ESG Spplemental Notes Plses on a Strck String These notes investigate specific eamples of transverse motion on a stretched string in cases where the string is at some time ndisplaced, bt with a
More informationHKBU Institutional Repository
Hong Kong Baptist University HKBU Instittional Repository HKBU Staff Pblication 17 Pitfall in Free-Energy Simlations on Simplest Systems Kin Yi WOG Hong Kong Baptist University, wongky@kb.ed.k Yqing X
More informationMath 4A03: Practice problems on Multivariable Calculus
Mat 4A0: Practice problems on Mltiariable Calcls Problem Consider te mapping f, ) : R R defined by fx, y) e y + x, e x y) x, y) R a) Is it possible to express x, y) as a differentiable fnction of, ) near
More informationSecond-Order Wave Equation
Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order
More informationDirect linearization method for nonlinear PDE s and the related kernel RBFs
Direct linearization method for nonlinear PDE s and the related kernel BFs W. Chen Department of Informatics, Uniersity of Oslo, P.O.Box 1080, Blindern, 0316 Oslo, Norway Email: wenc@ifi.io.no Abstract
More informationResearch Article Some New Parallel Flows in Weakly Conducting Fluids with an Exponentially Decaying Lorentz Force
Hindawi Pblising Corporation Matematical Problems in Engineering Volme 2007, Article ID 8784, 4 pages doi:0.55/2007/8784 Researc Article Some New Parallel Flows in Weakly Condcting Flids wit an Exponentially
More informationTIME ACCURATE FAST THREE-STEP WAVELET-GALERKIN METHOD FOR PARTIAL DIFFERENTIAL EQUATIONS
International Jornal of Wavelets, Mltiresoltion and Information Processing Vol. 4, No. (26) 65 79 c World Scientific Pblishing Company TIME ACCURATE FAST THREE-STEP WAVELET-GALERKIN METHOD FOR PARTIAL
More informationSTABILISATION OF LOCAL PROJECTION TYPE APPLIED TO CONVECTION-DIFFUSION PROBLEMS WITH MIXED BOUNDARY CONDITIONS
STABILISATION OF LOCAL PROJECTION TYPE APPLIED TO CONVECTION-DIFFUSION PROBLEMS WITH MIXED BOUNDARY CONDITIONS GUNAR MATTHIES, PIOTR SRZYPACZ, AND LUTZ TOBISA Abstract. We present the analysis for the
More informationA WAVE DISPERSION MODEL FOR HEALTH MONITORING OF PLATES WITH PIEZOELECTRIC COUPLING IN AEROSPACE APPLICATIONS
4t Middle East NDT Conference and Eibition Kingdom of Barain Dec 007 A WAVE DISPERSION MODEL FOR HEALTH MONITORING OF PLATES WITH PIEZOELECTRIC COUPLING IN AEROSPACE APPLICATIONS Amed Z. El-Garni and Wael
More informationA Decomposition Method for Volume Flux. and Average Velocity of Thin Film Flow. of a Third Grade Fluid Down an Inclined Plane
Adv. Theor. Appl. Mech., Vol. 1, 8, no. 1, 9 A Decomposition Method for Volme Flx and Average Velocit of Thin Film Flow of a Third Grade Flid Down an Inclined Plane A. Sadighi, D.D. Ganji,. Sabzehmeidani
More information08.06 Shooting Method for Ordinary Differential Equations
8.6 Shooting Method for Ordinary Differential Eqations After reading this chapter, yo shold be able to 1. learn the shooting method algorithm to solve bondary vale problems, and. apply shooting method
More informationA Survey of the Implementation of Numerical Schemes for Linear Advection Equation
Advances in Pre Mathematics, 4, 4, 467-479 Pblished Online Agst 4 in SciRes. http://www.scirp.org/jornal/apm http://dx.doi.org/.436/apm.4.485 A Srvey of the Implementation of Nmerical Schemes for Linear
More informationAxisymmetric Buckling Analysis of Porous Truncated Conical Shell Subjected to Axial Load
Jornal of Solid Mecanics Vol. 9 No. (7) pp. 8-5 Aisymmetric Bcling Analysis of Poros Trncated Conical Sell Sbjected to Aial Load M. Zargami Deagani M.Jabbari * Department of Mecanical Engineering Sot Teran
More informationHomotopy Perturbation Method for Solving Linear Boundary Value Problems
International Jornal of Crrent Engineering and Technolog E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rights Reserved Available at http://inpressco.com/categor/ijcet Research Article Homotop
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 informationComputational Geosciences 2 (1998) 1, 23-36
A STUDY OF THE MODELLING ERROR IN TWO OPERATOR SPLITTING ALGORITHMS FOR POROUS MEDIA FLOW K. BRUSDAL, H. K. DAHLE, K. HVISTENDAHL KARLSEN, T. MANNSETH Comptational Geosciences 2 (998), 23-36 Abstract.
More informationBLOOM S TAXONOMY. Following Bloom s Taxonomy to Assess Students
BLOOM S TAXONOMY Topic Following Bloom s Taonomy to Assess Stdents Smmary A handot for stdents to eplain Bloom s taonomy that is sed for item writing and test constrction to test stdents to see if they
More informationSubcritical bifurcation to innitely many rotating waves. Arnd Scheel. Freie Universitat Berlin. Arnimallee Berlin, Germany
Sbcritical bifrcation to innitely many rotating waves Arnd Scheel Institt fr Mathematik I Freie Universitat Berlin Arnimallee 2-6 14195 Berlin, Germany 1 Abstract We consider the eqation 00 + 1 r 0 k2
More informationarxiv: v1 [math.na] 17 Jul 2014
Div First-Order System LL* FOSLL* for Second-Order Elliptic Partial Differential Equations Ziqiang Cai Rob Falgout Sun Zang arxiv:1407.4558v1 [mat.na] 17 Jul 2014 February 13, 2018 Abstract. Te first-order
More informationA Computational Study with Finite Element Method and Finite Difference Method for 2D Elliptic Partial Differential Equations
Applied Mathematics, 05, 6, 04-4 Pblished Online November 05 in SciRes. http://www.scirp.org/jornal/am http://d.doi.org/0.46/am.05.685 A Comptational Stdy with Finite Element Method and Finite Difference
More informationClassify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.
Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports
More informationHESSIAN RECOVERY FOR FINITE ELEMENT METHODS
MATHEMATICS OF COMPUTATION Volme 86, Nmber 306, Jly 207, Pages 67 692 ttp://dx.doi.org/0.090/mcom/386 Article electronically pblised on September 27, 206 HESSIAN RECOVERY FOR FINITE ELEMENT METHODS HAILONG
More informationOptimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications
Optimization via the Hamilton-Jacobi-Bellman Method: Theory and Applications Navin Khaneja lectre notes taken by Christiane Koch Jne 24, 29 1 Variation yields a classical Hamiltonian system Sppose that
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 informationAffine Invariant Total Variation Models
Affine Invariant Total Variation Models Helen Balinsky, Alexander Balinsky Media Technologies aboratory HP aboratories Bristol HP-7-94 Jne 6, 7* Total Variation, affine restoration, Sobolev ineqality,
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 informationDELFT UNIVERSITY OF TECHNOLOGY
DELFT UNIVERSITY OF TECHNOLOGY REPORT 02-01 The Krylov accelerated SIMPLER method for incompressible flow C. Vik and A. Saghir ISSN 1389-6520 Reports of the Department of Applied Mathematical Analysis
More informationarxiv: v3 [gr-qc] 29 Jun 2015
QUANTITATIVE DECAY RATES FOR DISPERSIVE SOLUTIONS TO THE EINSTEIN-SCALAR FIELD SYSTEM IN SPHERICAL SYMMETRY JONATHAN LUK AND SUNG-JIN OH arxiv:402.2984v3 [gr-qc] 29 Jn 205 Abstract. In this paper, we stdy
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 informationAppendix A: The Fully Developed Velocity Profile for Turbulent Duct Flows
Appendix A: The lly Developed Velocity Profile for Trblent Dct lows This appendix discsses the hydrodynamically flly developed velocity profile for pipe and channel flows. The geometry nder consideration
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 informationActive Flux Schemes for Advection Diffusion
AIAA Aviation - Jne, Dallas, TX nd AIAA Comptational Flid Dynamics Conference AIAA - Active Fl Schemes for Advection Diffsion Hiroaki Nishikawa National Institte of Aerospace, Hampton, VA 3, USA Downloaded
More informationDELFT UNIVERSITY OF TECHNOLOGY
DELFT UNIVERSITY OF TECHNOLOGY REPORT 08-09 SIMPLE-type preconditioners for the Oseen problem M. r Rehman, C. Vik G. Segal ISSN 1389-6520 Reports of the Department of Applied Mathematical Analysis Delft
More informationCOMPARATIVE ANALYSIS OF ONE AND TWO-STAGE AXIAL IMPULSE TURBINES FOR LIQUID PROPELLANT ROCKET ENGINE
COMPARAIVE ANALYSIS OF ONE AND WO-SAGE AXIAL IMPULSE URBINES FOR LIQUID PROPELLAN ROCKE ENGINE Fernando Cesar Ventra Pereira Centro écnico Aeroespacial, Institto de Aeronática e Espaço,.8-90, São José
More informationFinite Volume Methods for Conservation laws
MATH-459 Nmerical Metods for Conservation Laws by Prof. Jan S. Hestaven Soltion proposal to Project : Finite Volme Metods for Conservation laws Qestion. (a) See Matlab/Octave code attaced. (b) Large amont
More informationCurves - Foundation of Free-form Surfaces
Crves - Fondation of Free-form Srfaces Why Not Simply Use a Point Matrix to Represent a Crve? Storage isse and limited resoltion Comptation and transformation Difficlties in calclating the intersections
More informationFREQUENCY DOMAIN FLUTTER SOLUTION TECHNIQUE USING COMPLEX MU-ANALYSIS
7 TH INTERNATIONAL CONGRESS O THE AERONAUTICAL SCIENCES REQUENCY DOMAIN LUTTER SOLUTION TECHNIQUE USING COMPLEX MU-ANALYSIS Yingsong G, Zhichn Yang Northwestern Polytechnical University, Xi an, P. R. China,
More informationJ.A. BURNS AND B.B. KING redced order controllers sensors/actators. The kernels of these integral representations are called fnctional gains. In [4],
Jornal of Mathematical Systems, Estimation, Control Vol. 8, No. 2, 1998, pp. 1{12 c 1998 Birkhaser-Boston A Note on the Mathematical Modelling of Damped Second Order Systems John A. Brns y Belinda B. King
More informationError estimation and adjoint based refinement for an adjoint consistent DG discretisation of the compressible Euler equations
Int. J. Comting Science and Matematics, Vol., Nos. /3/4, 007 07 Error estimation and adjoint based refinement for an adjoint consistent DG discretisation of te comressible Eler eqations R. Hartmann Institte
More informationApproximate Solution of Convection- Diffusion Equation by the Homotopy Perturbation Method
Gen. Math. Notes, Vol. 1, No., December 1, pp. 18-114 ISSN 19-7184; Copyright ICSRS Pblication, 1 www.i-csrs.org Available free online at http://www.geman.in Approximate Soltion of Convection- Diffsion
More informationKragujevac J. Sci. 34 (2012) UDC 532.5: :537.63
5 Kragjevac J. Sci. 34 () 5-. UDC 53.5: 536.4:537.63 UNSTEADY MHD FLOW AND HEAT TRANSFER BETWEEN PARALLEL POROUS PLATES WITH EXPONENTIAL DECAYING PRESSURE GRADIENT Hazem A. Attia and Mostafa A. M. Abdeen
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 informationFOUNTAIN codes [3], [4] provide an efficient solution
Inactivation Decoding of LT and Raptor Codes: Analysis and Code Design Francisco Lázaro, Stdent Member, IEEE, Gianligi Liva, Senior Member, IEEE, Gerhard Bach, Fellow, IEEE arxiv:176.5814v1 [cs.it 19 Jn
More informationStability of Model Predictive Control using Markov Chain Monte Carlo Optimisation
Stability of Model Predictive Control sing Markov Chain Monte Carlo Optimisation Elilini Siva, Pal Golart, Jan Maciejowski and Nikolas Kantas Abstract We apply stochastic Lyapnov theory to perform stability
More informationAN EFFICIENT ITERATIVE METHOD FOR THE GENERALIZED STOKES PROBLEM
SAM J. SC. COMPUT. c 998 Society for ndstrial and Applied Mathematics Vol. 9, No., pp. 6 6, Janary 998 5 AN EFFCENT TERATVE METHOD FOR THE GENERALZED STOKES PROBLEM VVEK SARN AND AHMED SAMEH Abstract.
More informationJuan Casado-Díaz University of Sevilla
Jan Casado-Díaz University of Sevilla Model problem: α β μ > R N open bonded f H F i : R R N R Caratédory fnctions i = 2 F i (x s ξ) C + s 2 + ξ 2 CP inf ω F (x ) + F 2 (x ) \ω div αχ ω + βχ \ω = f in
More informationERROR ESTIMATES FOR A FULLY DISCRETIZED SCHEME TO A CAHN-HILLIARD PHASE-FIELD MODEL FOR TWO-PHASE INCOMPRESSIBLE FLOWS
ERROR ESTIMATES FOR A FULLY DISCRETIZED SCHEME TO A CAHN-HILLIARD PHASE-FIELD MODEL FOR TWO-PHASE INCOMPRESSIBLE FLOWS YONGYONG CAI, AND JIE SHEN Abstract. We carry out in tis paper a rigorous error analysis
More informationIntrodction In this paper we develop a local discontinos Galerkin method for solving KdV type eqations containing third derivative terms in one and ml
A Local Discontinos Galerkin Method for KdV Type Eqations Je Yan and Chi-Wang Sh 3 Division of Applied Mathematics Brown University Providence, Rhode Island 09 ABSTRACT In this paper we develop a local
More informationAppendix Proof. Proposition 1. According to steady-state demand condition,
Appendix roof. roposition. Accordin to steady-state demand condition, D =A f ss θ,a; D α α f ss,a; D α α θ. A,weref ss θ e,a; D is te steady-state measre of plants wit ae a and te expected idiosyncratic
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 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 informationDiscussion of The Forward Search: Theory and Data Analysis by Anthony C. Atkinson, Marco Riani, and Andrea Ceroli
1 Introdction Discssion of The Forward Search: Theory and Data Analysis by Anthony C. Atkinson, Marco Riani, and Andrea Ceroli Søren Johansen Department of Economics, University of Copenhagen and CREATES,
More informationElements of Coordinate System Transformations
B Elements of Coordinate System Transformations Coordinate system transformation is a powerfl tool for solving many geometrical and kinematic problems that pertain to the design of gear ctting tools and
More informationAn optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model
An optimizing redced order FDS for the tropical Pacific Ocean redced gravity model Zhendong Lo a,, Jing Chen b,, Jiang Zh c,, Riwen Wang c,, and I. M. Navon d,, a School of Science, Beijing Jiaotong University,
More informationInf sup testing of upwind methods
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING Int. J. Numer. Met. Engng 000; 48:745 760 Inf sup testing of upwind metods Klaus-Jurgen Bate 1; ;, Dena Hendriana 1, Franco Brezzi and Giancarlo
More informationFormal Methods for Deriving Element Equations
Formal Methods for Deriving Element Eqations And the importance of Shape Fnctions Formal Methods In previos lectres we obtained a bar element s stiffness eqations sing the Direct Method to obtain eact
More informationB-469 Simplified Copositive and Lagrangian Relaxations for Linearly Constrained Quadratic Optimization Problems in Continuous and Binary Variables
B-469 Simplified Copositive and Lagrangian Relaxations for Linearly Constrained Qadratic Optimization Problems in Continos and Binary Variables Naohiko Arima, Snyong Kim and Masakaz Kojima October 2012,
More informationTechnical Note. ODiSI-B Sensor Strain Gage Factor Uncertainty
Technical Note EN-FY160 Revision November 30, 016 ODiSI-B Sensor Strain Gage Factor Uncertainty Abstract Lna has pdated or strain sensor calibration tool to spport NIST-traceable measrements, to compte
More informationChapter 2 Difficulties associated with corners
Chapter Difficlties associated with corners This chapter is aimed at resolving the problems revealed in Chapter, which are cased b corners and/or discontinos bondar conditions. The first section introdces
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 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 informationHybrid modelling and model reduction for control & optimisation
Hybrid modelling and model redction for control & optimisation based on research done by RWTH-Aachen and TU Delft presented by Johan Grievink Models for control and optimiation market and environmental
More informationSetting The K Value And Polarization Mode Of The Delta Undulator
LCLS-TN-4- Setting The Vale And Polarization Mode Of The Delta Undlator Zachary Wolf, Heinz-Dieter Nhn SLAC September 4, 04 Abstract This note provides the details for setting the longitdinal positions
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 informationAn Investigation into Estimating Type B Degrees of Freedom
An Investigation into Estimating Type B Degrees of H. Castrp President, Integrated Sciences Grop Jne, 00 Backgrond The degrees of freedom associated with an ncertainty estimate qantifies the amont of information
More informationLecture Notes: Finite Element Analysis, J.E. Akin, Rice University
9. TRUSS ANALYSIS... 1 9.1 PLANAR TRUSS... 1 9. SPACE TRUSS... 11 9.3 SUMMARY... 1 9.4 EXERCISES... 15 9. Trss analysis 9.1 Planar trss: The differential eqation for the eqilibrim of an elastic bar (above)
More informationEfficient quadratic penalization through the partial minimization technique
This article has been accepted for pblication in a ftre isse of this jornal, bt has not been flly edited Content may change prior to final pblication Citation information: DOI 9/TAC272754474, IEEE Transactions
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 informationA Macroscopic Traffic Data Assimilation Framework Based on Fourier-Galerkin Method and Minimax Estimation
A Macroscopic Traffic Data Assimilation Framework Based on Forier-Galerkin Method and Minima Estimation Tigran T. Tchrakian and Sergiy Zhk Abstract In this paper, we propose a new framework for macroscopic
More informationA sixth-order dual preserving algorithm for the Camassa-Holm equation
A sith-order dal preserving algorithm for the Camassa-Holm eqation Pao-Hsing Chi Long Lee Tony W. H. She November 6, 29 Abstract The paper presents a sith-order nmerical algorithm for stdying the completely
More informationA Theory of Markovian Time Inconsistent Stochastic Control in Discrete Time
A Theory of Markovian Time Inconsistent Stochastic Control in Discrete Time Tomas Björk Department of Finance, Stockholm School of Economics tomas.bjork@hhs.se Agatha Mrgoci Department of Economics Aarhs
More informationPIPELINE MECHANICAL DAMAGE CHARACTERIZATION BY MULTIPLE MAGNETIZATION LEVEL DECOUPLING
PIPELINE MECHANICAL DAMAGE CHARACTERIZATION BY MULTIPLE MAGNETIZATION LEVEL DECOUPLING INTRODUCTION Richard 1. Davis & 1. Brce Nestleroth Battelle 505 King Ave Colmbs, OH 40201 Mechanical damage, cased
More informationOptimal Control, Statistics and Path Planning
PERGAMON Mathematical and Compter Modelling 33 (21) 237 253 www.elsevier.nl/locate/mcm Optimal Control, Statistics and Path Planning C. F. Martin and Shan Sn Department of Mathematics and Statistics Texas
More informationDownloaded 07/06/18 to Redistribution subject to SIAM license or copyright; see
SIAM J. SCI. COMPUT. Vol. 4, No., pp. A4 A7 c 8 Society for Indstrial and Applied Mathematics Downloaded 7/6/8 to 8.83.63.. Redistribtion sbject to SIAM license or copyright; see http://www.siam.org/jornals/ojsa.php
More informationApproach to a Proof of the Riemann Hypothesis by the Second Mean-Value Theorem of Calculus
Advances in Pre Mathematics, 6, 6, 97- http://www.scirp.org/jornal/apm ISSN Online: 6-384 ISSN Print: 6-368 Approach to a Proof of the Riemann Hypothesis by the Second Mean-Vale Theorem of Calcls Alfred
More information