Technische Universität Graz
|
|
- Albert Stevenson
- 5 years ago
- Views:
Transcription
1 Technsche Unverstät Graz Challenges and Applcatons of Boundary Element Doman Decomposton Methods O. Stenbach Berchte aus dem Insttut für Numersche Mathematk Bercht 2006/9
2
3 Technsche Unverstät Graz Challenges and Applcatons of Boundary Element Doman Decomposton Methods O. Stenbach Berchte aus dem Insttut für Numersche Mathematk Bercht 2006/9
4 Technsche Unverstät Graz Insttut für Numersche Mathematk Steyrergasse 30 A 8010 Graz WWW: c Alle Rechte vorbehalten. Nachdruck nur mt Genehmgung des Autors.
5 Challenges and Applcatons of Boundary Element Doman Decomposton Methods Olaf Stenbach Insttute for Computatonal Mathematcs, Graz Unversty of Technology, Steyrergasse 30, 8010 Graz, Austra, Abstract Boundary ntegral equaton methods are well suted to represent the Drchlet to Neumann maps whch are requred n the formulaton of doman decomposton methods. Based on the symmetrc representaton of the local Steklov Poncaré operators by a symmetrc Galerkn boundary element method, we descrbe a stablsed varatonal formulaton for the local Drchlet to Neumann map. By a strong couplng of the Neumann data across the nterfaces, we obtan a mxed varatonal formulaton. For borthogonal bass functons the resultng system s equvalent to nonredundant fnte and boundary element tearng and nterconnectng methods. We wll also address several open questons, deas and challengng tasks n the numercal analyss of boundary element doman decomposton methods, n the mplementaton of those algorthms, and ther applcatons. 1 Introducton Boundary element methods are well establshed approxmaton methods to solve exteror boundary value problems, or to solve partal dfferental equatons wth (pecewse) constant coeffcents consdered n complcated substructures and n domans wth movng boundares. For an state of the art overvew on recent advances on mathematcal aspects and engneerng applcatons of boundary ntegral equaton methods, see, for example, Schanz and Stenbach [2007]. However, for partal dfferental equatons wth nonlnear coeffcents the couplng of fnte and boundary element methods seems to be an effcent tool to solve complex problems n complcated domans. For the formulaton and for an effcent soluton of the resultng systems of equatons, doman decomposton methods are mandatory. The classcal approach to couple fnte and boundary element methods s to use only the weakly sngular boundary ntegral equaton wth sngle and double layer potentals, see, e.g., Brezz and Johnson [1979], Johnson and Nedelec [1980], and Wendland [1988]. In Costabel [1987] a symmetrc couplng of fnte and boundary elements usng the so called hypersngular boundary ntegral operator was ntroduced. Ths approach was then extended to symmetrc Galerkn boundary element methods, see, e.g., Hsao and Wendland [1990]. Approprate precondtoned teratve strateges were later consdered n Carstensen et al. [1998], whle qute general precondtoners based on operators of the opposte order were ntroduced n Stenbach and Wendland [1998]. Boundary element tearng and nterconnectng (BETI) methods were descrbed n Langer and Stenbach [2003] as counterpart of FETI methods whle n Langer et al. [2006] these methods were combned wth a fast multpole approxmaton of the local boundary ntegral operators nvolved. For an alternatve approach to boundary ntegral doman decomposton methods see also Khoromskj and Wttum [2004]. Here we wll gve a qute general settng of tearng and nterconnectng, or more general, hybrd doman decomposton methods. The local partal dfferental equaton s rewrtten as a local Drchlet to Neumann map whch can be realzed ether by doman varatonal formulatons or by usng boundary ntegral formulatons. Snce the related functon spaces are fractonal Sobolev spaces, one may ask for the rght defnton of the assocated norms. It turns out that the used norms whch are nduced by the local sngle layer potental or ts nverse allows for almost explcte spectral equvalence nequaltes, and an approprate stablsaton of the sngular Steklov Poncaré operators. The modfed Drchlet to Neumann map s then used to obtan a mxed varatonal formulaton allowng a weak couplng of the local Drchlet data. However, stayng wth a globally conform method and usng borthogonal bass functons we end up wth the standard tearng and nterconnectng approach as n FETI and n BETI. 5
6 The am of ths paper s to sketch some deas to obtan advanced formulatons n boundary ntegral doman decomposton methods, to propose to use specal norms n the numercal analyss, and to state some challengng tasks n the mplementaton of fast boundary element doman decomposton algorthms to solve challengng problems from engneerng and ndustry. 2 Boundary Integral Equaton DD Methods As a model problem we consder the Drchlet boundary value problem of the potental equaton, dv[α(x) u(x)] = f(x) for x Ω, u(x) = g(x) for x Γ (1) where Ω R 3 s a bounded doman wth Lpschtz boundary Γ = Ω. We assume that there s gven a non overlappng doman decomposton Ω = p Ω, Ω Ω j = for j, Γ = Ω. (2) =1 The doman decomposton as consdered n (2) may arse from a pecewse constant coeffcent functon α(x) due to the physcal model, n partcular we may assume α(x) = α for x Ω. However, to construct effcent soluton strateges n parallel, one may also ntroduce a doman decomposton (2) when consderng the Laplace or Posson equaton n a complcated three dmensonal structure. A challengng task s to fnd a doman decomposton (2) whch s based on boundary nformatons only,.e., wthout any addtonal volume meshes. Usng deas as used n fast boundary element methods,.e. by a bsecton algorthm t s possble to decompose a gven boundary mesh nto two separate surface meshes. Whle ths step seems to be smple, the delcate task s the defnton of the new nterface mesh whch should take care of the gven geometrc stuaton,.e. one should avod the ntersecton of the new nterface wth the orgnal boundary. We have already appled ths algorthm to fnd a sutable doman decomposton of the Lake St. Wolfgang doman as shown n Fgure 1. Fgure 1: Doman Decomposton of the Lake St. Wolfgang Doman. It seems to be an open problem to fnd and to mplement a robust algorthm for an automatc doman decomposton of complcated three dmensonal strutures whch s based on surface nformatons only. Such a tool s essentally needed when consderng boundary element doman decomposton methods. Prelmnary results on ths topc wll be publshed elsewhere (Of and Stenbach [2007]). A smlar approach was already used n Ivanov et al. [2006] to desgn an automatc doman decomposton approach for unstructured grds n three dmensons. There, the remeshng of the new nterface s done wthn the splttng hyperplane wthout consderng the robustness of the algorthm for complcated geometres. Instead of the global boundary value problem (1) we now consder the local boundary value problems α u (x) = f (x) for x Ω, u (x) = g(x) for x Γ Γ (3) 6
7 together wth the transmsson boundary condtons u (x) = u j (x), α t (x) + α j t j (x) = 0 for x Γ j = Γ Γ j, (4) where t = n u s the exteror normal dervatve of u on Γ. Snce the soluton u of the local boundary value problem (3) s gven va the representaton formula u (x) = 1 t (y) 4π x y ds y 1 1 u (y) 4π n y x y ds y f (y) α 4π x y dy Γ Γ for x Ω, t s suffcent to fnd the complete Cauchy data [u, t ] Γ whch are related to the solutons u of the local boundary value problems (3). The approprate boundary ntegral equatons to derve a boundary ntegral representaton of the nvolved Drchlet to Neumann map are gven by means of the Calderon projector ( ) ( 1 u = 2 I K ) ( ) V u 1 t D 2 I ( ) N0 f, K t α N 1 f where V s the sngle layer potental, K s the double layer potental, D s the hypersngular boundary ntegral operator, and N j f are some Newton potentals, respectvely. Hence, we fnd the Drchlet to Neumann map as wth the Steklov Poncaré operator α t (x) = α (S u )(x) (N f )(x) for x Γ (5) (S u )(x) = V 1 ( 1 2 I + K )u (x) (6) [ = D + ( 1 2 I + K )V 1 ( 1 ] 2 I + K ) u (x) for x Γ. (7) Note that N f = V 1 N 0 f. Replacng the partal dfferental equaton n (3) by the related Drchlet to Neumann map (5) ths results n a coupled formulaton to fnd the local Cauchy data [u, t ] Γ such that Ω α t (x) = α (S u )(x) (N f )(x) for x Γ, u (x) = g(x) for x Γ Γ, u (x) = u j (x) for x Γ j, α t (x) + α j t j (x) = 0 for x Γ j. (8) In what follows we frst have to analyze the local Steklov Poncare operators S : H 1/2 (Γ ) H 1/2 (Γ ). Snce we are dealng wth fractonal Sobolev spaces H ±1/2 (Γ ) one may ask for approprate norms to be used. It turns out that norms whch are nduced by the local sngle layer potentals V may be advantageous. In partcular, V = V, Γ, V 1 = V 1, Γ are equvalent norms n H 1/2 (Γ ) and n H 1/2 (Γ ), respectvely. Wth the contracton property of the double layer potental (Stenbach and Wendland [2001]), ( 1 2 I + K )v V 1 c K, v V 1 for all v H 1/2 (Γ ) (9) where the constant c K, = cd 1 cv 1 < 1 7
8 s only shape senstve, we have S v V = ( 1 2 I + K )v V 1 c K, v V 1 for all v H 1/2 (Γ ) as well as S v, v Γ (1 c K, ) v 2 for all v V 1 H 1/2 (Γ ), v 1. In partcular, the constants form the non trval kernel of the local Steklov Poncare operators S,.e., S 1 = 0 n the sense of H 1/2 (Γ ). To realze the related orthogonal splttng of H 1/2 (Γ ) we ntroduce the natural densty w eq, H 1/2 (Γ ) as the unque soluton of the local boundary ntegral equaton V w eq, = 1. Then we may defne the stablzed hypersngular boundary ntegral operator S : H 1/2 (Γ ) H 1/2 (Γ ) va the Resz representaton theorem by the blnear form S u, v Γ = S u, v Γ + β u, w eq, Γ v, w eq, Γ, β R +. (10) Theorem 2.1 Let S : H 1/2 (Γ ) H 1/2 (Γ ) be the stablzed Steklov Poncaré operator as defned n (10). Then there hold the spectral equvalence nequaltes c e S 1 V 1 for all v H 1/2 (Γ ) wth postve constants S v, v Γ S v, v Γ c e 2 1 V v, v Γ c e S 1 = mn{1 c K,, β 1, w eq, Γ }, c e S 2 = max{c K,, β 1, w eq, Γ }. Therefore, an optmal scalng s gven for β = 1 2 1, w eq, Γ, c e S 1 = 1 c K,, c e S 2 = c K,. Hence, the Drchlet to Neumann map (5) can be wrtten n a modfed varatonal formulaton as α t, v Γ = S ũ, v Γ N f, v Γ for all v H 1/2 (Γ ) (11) when assumng the local solvablty condtons α t, 1 Γ + N f, 1 Γ = 0. (12) In partcular, nsertng v = 1 nto the modfed Drchlet to Neumann map (11), we obtan from the solvablty condton (12) 0 = α t, 1 Γ + N f, 1 Γ = S ũ, 1 Γ + β ũ, w eq, Γ 1, w eq, Γ and therefore the scalng condton due to ũ, w eq, Γ = 0 (13) S ũ, 1 Γ = ũ, S 1 Γ = 0, 1, w eq, Γ = 1, V 1 1 Γ > 0. In fact, the scalng condton (13) s the natural characterzaton of functons ũ H 1/2 (Γ ) whch are orthogonal to the constants n the sense of H 1/2 (Γ ). Hence, the local Drchlet datum s gven va u = ũ + γ, γ R. Now, the coupled formulaton (8) can be rewrtten as α t (x) = α ( S ũ )(x) (N f )(x) for x Γ, ũ (x) + γ = g(x) for x Γ Γ, ũ (x) + γ = ũ j (x) + γ j for x Γ j, α t (x) + α j t j (x) = 0 for x Γ j, α t, 1 Γ + N f, 1 Γ = 0 (14) 8
9 where we have to fnd ũ H 1/2 (Γ ), t H 1/2 (Γ ), and γ R, = 1,...,p. Hereby, the varatonal formulaton of the modfed Drchlet to Neumann map reads: Fnd ũ H 1/2 (Γ ) such that α S ũ, v Γ α t, v Γ = N f, v Γ (15) s satsfed for all v H 1/2 (Γ ), = 1,...,p. The Neumann transmsson condtons n weak form are α t + α j t j, v j Γj = [α t (x) + α j t j (x)]v j (x)ds x = 0 (16) Γ j for all v j H 1/2 (Γ j ). Takng the sum over all nterfaces Γ j, ths s equvalent to p α t, v Γ Γ\Γ = 0 for all v H 1/2 (Γ S ), (17) =1 where Γ S = p =1 Γ s the skeleton of the gven doman decomposton. The Drchlet transmsson condtons n (14) can be wrtten as [ũ + γ ] [ũ j + γ j ], τ j Γj = 0 for all τ j H 1/2 (Γ j ) = [H 1/2 (Γ j )], (18) whle the Drchlet boundary condtons n weak form read ũ + γ, τ 0 Γ Γ = g, τ 0 Γ Γ for all τ 0 H 1/2 (Γ Γ). (19) In addton we need to have the local solvablty condtons α t, 1 Γ + N f, 1 Γ = 0. (20) The coupled varatonal formulaton (15) (20) s n fact a mxed (saddle pont) doman decomposton formulaton of the orgnal boundary value problem (1). Hence we have to ensure a certan stablty (BBL) condton to be satsfed,.e., a stable dualty parng between the prmal varables ũ and the dual Lagrange varable t along the nterfaces Γ j. Note that we also have to ncorporate the addtonal constrants (20) and ther assocated Lagrange multplers γ. Whle the unque solvablty of the contnuous varatonal formulaton (15) (20) follows n a qute standard way, as, e.g. n Stenbach [2003], the stablty of an assocated dscrete scheme s not so obvous. Clearly, the Galerkn dscretzaton of the coupled problem (15) (20) depends on the local tral spaces to approxmate the local Cauchy data [ũ, t ]. In partcular, the varatonal formulaton (15) (20) may serve as a startng pont for Mortar doman decomposton or three feld formulatons as well (see Stenbach [2003] and the references gven theren). However, here we wll consder only an approach whch s globally conform. Let Sh 1(Γ S) be a sutable tral space on the skeleton Γ S, e.g., of pecewse lnear bass functons ϕ k, k = 1,...,M, and let Sh 1(Γ ) denote ts restrcton onto Γ, where the local bass functons are ϕ k, k = 1,...,M. In partcular, A R M M are connectvty matrces lnkng the global degrees of freedom u R M u h Sh 1(Γ S) to the local ones, u = A u R M u h Γ Sh 1(Γ ). Moreover, let Sh 0(Γ j) be some tral space to approxmate the local Neumann data t and t j along the nterface Γ j, for example we may use pecewse constant bass functons ψs j. In the same way we ntroduce bass functons ψs 0 S0 h (Γ) to approxmate the Neumann data along the Drchlet boundary Γ. The tral spaces Sh 0(Γ j) and Sh 0(Γ) defne a global tral space S0 h (Γ S) of pecewse constant bass functons ψ ι mplyng λ h Sh 0(Γ S) λ R N,.e., we have λ h Γj Sh 0(Γ j) λ j R Nj and λ h Γ Sh 0(Γ) λ 0 R N0. For the global tral space S 0 h (Γ S) = <j S 0 h (Γ j) S 0 h (Γ) = span{ψ ι} N ι=0, we defne the restrctons ψs j = rj ι ψ ι wth rι j = 1, rι j x Γ. Hence we can also ntroduce a local mappng = 1 for < j, and ψ 0 s = r0 ι ψ ι, r 0 ι = 1 for t = 1 α R λ R N for λ R N 9
10 satsfyng R [s, ι] = rι j = 1, R j [s j, ι] = rι j = 1 for ι = 1,...,N, s = 1,...,N, < j, and R [s, ι] = r 0 ι = 1 for x Γ. For the assocated approxmatons t,h S 0 h (Γ ) t R N, we then fnd α t,h (x) + α j t j,h (x) = 0 for x Γ j,.e., the Neumann transmsson condtons (16) are satsfed n a strong sense. The Galerkn approxmaton of the Drchlet transmsson condton (18) can now be wrtten as [ M ] M ũ,k ϕ k (x) + γ j ũ j,k ϕ j k (x) + γ j ψj σ (x)ds x = 0 Γ j Γ j k=1 k=1 for σ = 1,...,N j, and < j, or for ι = 1,...,N [ M ] M ũ,k ϕ k (x) + γ rι j ψ j ι(x) + ũ j,k ϕ j k (x) + γ j rι j ψ ι(x)ds x = 0. k=1 Correspondngly, the Galerkn dscretzaton of the Drchlet boundary condton (19) reads Γ Γ [ M k=1 ũ,k ϕ k(x) + γ ]r ι 0 ψ ι (x)ds x = k=1 Γ Γ g(x)r 0 ι ψ ι (x)ds x. Combnng both the Galerkn dscretzaton of the Drchlet transmsson and of the Drchlet boundary condtons, we can wrte where B R M M are defned by B [ι, k] = ϕ k(x)r j ι ψ ι (x)ds x, B [ι, k] = Γ j p B ũ + Gγ = g (21) =1 Γ Γ ϕ k(x)r 0 ι ψ ι (x)ds x. In addton, the matrx G = (G 1,..., G p ) R M p and the vector g R M of the rght hand sde are defned correspondngly,.e. G [ι, ] = r j ι ψ ι (x)ds x, G [ι, ] = rι 0 ψ ι(x)ds x. Γ j Γ Γ In partcular, we have G = B 1 where 1 R M s the coeffcent vector whch s related to the constant functon 1 H 1/2 (Γ ). Moreover, from the solvablty condtons (20) we obtan G λ = q = N f, 1 Γ for = 1,...,p. The Galerkn dscretzaton of the local Drchlet to Neumann map (15) fnally gves α S,h ũ B λ = f, where we have to approxmate the exact stffness matrx S,h ncludng the local Steklov Poncaré operator S, e.g., n the symmetrc representaton (7), by some boundary element dscretzaton, S,h = D,h + ( 1 2 M,h + K,h)V 1,h (1 2 M,h + K,h ) + β a a, 10
11 where the local boundary element matrces are gven as D,h [l, k] = D ϕ k, ϕ l Γ, K,h [ν, k] = K ϕ k, ϑ ν Γ, V,h [ν, µ] = V ϑ µ, ϑ ν Γ, M,h [ν, k] = ϕ k, ϑ ν Γ, a,k = ϕ k, w eq, Γ for k, l = 1,...,M, µ, ν = 1,..., N where span{ϑ µ } N µ=1 H 1/2 (Γ ) s some local boundary element tral space to approxmate the local Neumann data whch are needed n the defnton of the approxmate Steklov Poncaré operator. Note that the bass functons ϑ µ can be defned n an almost arbtrary way, we only have to assume some approxmaton property to ensure convergence of the dscrete scheme. The most smplest choce would be to dentfy the bass functons ϑ µ whch are defned along the skeleton. In an analogue manner, one may even defne an approxmate Steklov Poncaré operator by usng local fnte elements, see, e.g., Langer and Stenbach [2004]. Summarzng the above, we end up wth a global system of lnear equatons, wth ψ j s α 1 S1,h B α p Sp,h B p B 1 B p G G ũ 1. ũ p = λ γ f 1. f. (22) p g q The unque solvablty of the lnear system (22) and therefore of the coupled varatonal problem (15) (20) follows from some stablty (LBB) condton lnkng the local tral spaces Sh 1(Γ ) and Sh 0(Γ j) along the couplng nterface Γ j. Here, we only consder the specal case where the bass functons ϕ k and ψj s are borthogonal,.e. { ϕ k(x)ψ j 1 for s = k, s (x)ds x = 0 for s k. Γ j Then, the entres of the matrces B consst just of zeros and ±1 descrbng a nodal couplng of the assocated prmal degrees of freedom. In partcular, the use of borthogonal bass functons to dscretze the coupled varatonal problem (15) (20) s equvalent to a redundant fnte or boundary element tearng and nterconnectng approach for a standard doman decomposton formulaton, see, e.g., Langer and Stenbach [2004]. Whle for matchng grds the descrbed formulaton s a conform dscretzaton scheme, t may be generalzed to dfferent local grds and dfferent local tral spaces as well. Ths leads mmedately to hybrd or mortar doman decomposton methods where the choce of local tral spaces s essental to ensure the local stablty condtons, see, e.g., Wohlmuth [2001] and the references gven theren. Snce the approxmaton of the local Drchlet to Neumann maps can be done by any avalable dscrezaton scheme, the presented formulaton allows the couplng of dfferent dscretzaton schemes such as fnte and boundary element methods, and the couplng of locally dfferent meshes and tral spaces. However, when consderng a boundary element approxmaton of the Steklov Poncaré operator S u = [D + ( 1 2 I + K )V 1 ( 1 2 I + K )]u = D u + ( 1 2 I + K )w the local Neumann data w = V 1 ( 1 2 I + K ) concde wth the Neumann data t as used n the coupled formulaton (14). It seems to be an open problem how ths relaton can be used to fnd further advanced boundary element doman decomposton formulatons, n partcular to fnd more effcent precondtoned teratve strateges to solve the resultng lnear systems of equatons n parallel. 11
12 3 Conclusons For the numercal analyss of standard boundary element methods see, for example, Stenbach [2007]. Snce the dscretzaton of non local boundary ntegral operators wth sngular kernel functons leads to dense stffness matrces, the use of fast boundary element methods s an ssue. For an overvew of those methods, and for the mplementaton and for the applcaton of the Adaptve Cross Approxmaton approach, see Rjasanow and Stenbach [2007]. Other possble fast boundary element methods are the Fast Multpole Method, see, e.g., Of et al. [2006] and the references theren, or Herarchcal Matrces, see, e.g., Hackbusch et al. [2005]. The teratve soluton of the lnear system (22) of the boundary element tearng and nterconnectng approach can be done by a projected precondtoned conjugate gradent method n a specal nner product snce the system matrx has a two fold saddle pont structure, see also Langer et al. [2006], where we have also descrbe approprate precondtonng strateges. Snce the potental equaton (1) s just a model problem, the methodology gven n ths paper can be extended to more advanced problems n a straght forward way, e.g., for problems n lnear elastostatcs, for almost ncombressble materals and for the Stokes problem. More challengng are the handlng of the Helmholtz equaton or of the Maxwell system where more advanced formulatons are needed to obtan boundary ntegral equatons whch are unque solvable for all wave numbers. Acknowledgement: Ths work has been partally supported by the German Research Foundaton (DFG) under the Grant SFB 404 Multfeld Problems n Contnuum Mechancs. References F. Brezz and C. Johnson. On the couplng of boundary ntegral and fnte element methods. Calcolo, 16: , C. Carstensen, M. Kuhn, and U. Langer. Fast parallel solvers for symmetrc boundary element doman decomposton methods. Numer. Math., 79: , M. Costabel. Symmetrc methods for the couplng of fnte elements and boundary elements. In C. A. Brebba, G. Kuhn, and W. L. Wendland, edtors, Boundary Elements IX, pages , Berln, Sprnger. W. Hackbusch, B. N. Khoromskj, and R. Kremann. Drect Schur complement method by doman decomposton based on H matrx approxmaton. Comput. Vs. Sc., 8: , G. C. Hsao and W. L. Wendland. Doman decomposton methods n boundary element methods. In R. Glownsk and et. al., edtors, Doman Decomposton Methods for Partal Dfferental Equatons. Proceedngs of the Fourth Internatonal Conference on Doman Decomposton Methods, pages 41 49, Baltmore, SIAM. E. G. Ivanov, H. Andrä, and A. N. Kudryavtsev. Doman decomposton approach for automatc parallel generaton of 3d unstructured grds. In P. Wesselng, E. Onate, and J. Peraux, edtors, Proceedngs of the European Conference on Computatonal Flud Dynamcs ECCOMAS CFD 2006, TU Delft, The Netherlands, C. Johnson and J. C. Nedelec. On couplng of boundary ntegral and fnte element methods. Math. Comp., 35: , B. N. Khoromskj and G Wttum. Numercal Soluton of Ellptc Dfferental Equatons by Reducton to the Interface, volume 36 of Lecture Notes n Computatonal Scence and Engneerng. Sprnger, Berln, U. Langer and O. Stenbach. Boundary element tearng and nterconnectng methods. Computng, 71: ,
13 U. Langer and O. Stenbach. Coupled boundary and fnte element tearng and nterconnectng methods. In R. Kornhuber, R. Hoppe, J. Peraux, O. Pronneau, O. Wdlund, and J. Xu, edtors, Doman Decomposton Methods n Scence and Engneerng, volume 40 of Lecture Notes n Computatonal Scence and Engneerng, pages Sprnger, Hedelberg, U. Langer, G. Of, O. Stenbach, and W. Zulehner. Inexact data sparse boundary element tearng and nterconnectng methods. SIAM J. Sc. Comput., Accepted for publcaton. G. Of and O. Stenbach. Automatc generaton of boundary element doman decomposton meshes. In preparaton, G. Of, O. Stenbach, and W. L. Wendland. Boundary element tearng and nterconnectng methods. In R. Helmg, A. Melke, and B. I. Wohlmuth, edtors, Multfeld Problems n Sold and Flud Mechancs, volume 28 of Lecture Notes n Appled and Computatonal Mechancs, pages Sprnger, Hedelberg, S. Rjasanow and O. Stenbach. The Fast Soluton of Boundary Integral Equatons. Mathematcal and Analytcal Technques wth Applcatons to Engneerng. Sprnger, New York, M. Schanz and O. Stenbach, edtors. Boundary Element Analyss: Mathematcal Aspects and Applcatons, volume 29 of Lecture Notes n Appled and Computatonal Mechancs. Sprnger, Hedelberg, O. Stenbach. Stablty estmates for hybrd coupled doman decomposton methods, volume 1809 of Lecture Notes n Mathematcs. Sprnger, Hedelberg, O. Stenbach. Numercal Approxmaton Methods for Ellptc Boundary Value Problems. Fnte and Boundary Elements. Texts n Appled Mathematcs. Sprnger, New York, O. Stenbach and W. L. Wendland. The constructon of some effcent precondtoners n the boundary element method. Adv. Comput. Math., 9: , O. Stenbach and W. L. Wendland. On C. Neumann s method for second order ellptc systems n domans wth non smooth boundares. J. Math. Anal. Appl., 262: , W. L. Wendland. On asymptotc error estmates for combned BEM and FEM. In E. Sten and W. L. Wendland, edtors, Fnte Element and Boundary Element Technques from Mathematcal and Engneerng Pont of Vew, volume 301 of CISM Courses and Lectures, pages Sprnger, Wen, New York, B. I. Wohlmuth. Dscretzaton Methods and Iteratve Solvers Based on Doman Decomposton, volume 17 of Lecture Notes n Computatonal Scence and Engneerng. Sprnger, Berln,
14 Erschenene Preprnts ab Nummer 2005/1 2005/1 O. Stenbach Numersche Mathematk 1. Vorlesungsskrpt. 2005/2 O. Stenbach Technsche Numerk. Vorlesungsskrpt. 2005/3 U. Langer Inexact Fast Multpole Boundary Element Tearng and Interconnectng G. Of Methods O. Stenbach W. Zulehner 2005/4 U. Langer Inexact Data Sparse Boundary Element Tearng and Interconnectng G. Of Methods O. Stenbach W. Zulehner 2005/5 U. Langer Fast Boundary Element Methods n Industral Applcatons O. Stenbach Söllerhaus Workshop, , Book of Abstracts. W. L. Wendland 2005/6 U. Langer Dual Prmal Boundary Element Tearng and Interconnectng Methods A. Pohoata O. Stenbach 2005/7 O. Stenbach (ed.) Jahresbercht 2004/ /1 S. Engleder Modfed Boundary Integral Formulatons for the O. Stenbach Helmholtz Equaton. 2006/2 O. Stenbach 2nd Austran Numercal Analyss Day. Book of Abstracts. 2006/3 B. Muth Collson Detecton for Complcated Polyhedra Usng G. Of the Fast Multpole Method of Ray Crossng P. Eberhard O. Stenbach 2006/4 G. Of Numercal Tests for the Recovery of the Gravty Feld B. Schneder by Fast Boundary Element Methods 2006/5 U. Langer 4th Workshop on Fast Boundary Element Methods n Industral O. Stenbach Applcatons. Book of Abstracts. W. L. Wendland 2006/6 O. Stenbach (ed.) Jahresbercht 2005/ /7 G. Of The All floatng BETI Method: Numercal Results 2006/8 P. Urthaler Automatsche Postonerung von FEM Netzen G. Of O. Stenbach
Numerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationThe Finite Element Method: A Short Introduction
Te Fnte Element Metod: A Sort ntroducton Wat s FEM? Te Fnte Element Metod (FEM) ntroduced by engneers n late 50 s and 60 s s a numercal tecnque for solvng problems wc are descrbed by Ordnary Dfferental
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationRobust Norm Equivalencies and Preconditioning
Robust Norm Equvalences and Precondtonng Karl Scherer Insttut für Angewandte Mathematk, Unversty of Bonn, Wegelerstr. 6, 53115 Bonn, Germany Summary. In ths contrbuton we report on work done n contnuaton
More informationLecture 21: Numerical methods for pricing American type derivatives
Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)
More informationDeriving the X-Z Identity from Auxiliary Space Method
Dervng the X-Z Identty from Auxlary Space Method Long Chen Department of Mathematcs, Unversty of Calforna at Irvne, Irvne, CA 92697 chenlong@math.uc.edu 1 Iteratve Methods In ths paper we dscuss teratve
More informationCOMPUTATIONAL METHODS AND ALGORITHMS Vol. II - Finite Element Method - Jacques-Hervé SAIAC
COMPUTATIONAL METHODS AND ALGORITHMS Vol. II - Fnte Element Method - Jacques-Hervé SAIAC FINITE ELEMENT METHOD Jacques-Hervé SAIAC Départment de Mathématques, Conservatore Natonal des Arts et Méters, Pars,
More informationMMA and GCMMA two methods for nonlinear optimization
MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons
More informationReport on Image warping
Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.
More informationRobust FETI solvers for multiscale elliptic PDEs
Robust FETI solvers for multscale ellptc PDEs Clemens Pechsten 1 and Robert Schechl 2 Abstract Fnte element tearng and nterconnectng (FETI) methods are effcent parallel doman decomposton solvers for large-scale
More informationCME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13
CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More informationThe interface control domain decomposition (ICDD) method for the Stokes problem. (Received: 15 July Accepted: 13 September 2013)
Journal of Coupled Systems Multscale Dynamcs Copyrght 2013 by Amercan Scentfc Publshers All rghts reserved. Prnted n the Unted States of Amerca do:10.1166/jcsmd.2013.1026 J. Coupled Syst. Multscale Dyn.
More informationInexact Newton Methods for Inverse Eigenvalue Problems
Inexact Newton Methods for Inverse Egenvalue Problems Zheng-jan Ba Abstract In ths paper, we survey some of the latest development n usng nexact Newton-lke methods for solvng nverse egenvalue problems.
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationOn a direct solver for linear least squares problems
ISSN 2066-6594 Ann. Acad. Rom. Sc. Ser. Math. Appl. Vol. 8, No. 2/2016 On a drect solver for lnear least squares problems Constantn Popa Abstract The Null Space (NS) algorthm s a drect solver for lnear
More informationYong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )
Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often
More informationApplication of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems
Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationLecture 10 Support Vector Machines II
Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed
More informationErrors for Linear Systems
Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationSTAT 309: MATHEMATICAL COMPUTATIONS I FALL 2018 LECTURE 16
STAT 39: MATHEMATICAL COMPUTATIONS I FALL 218 LECTURE 16 1 why teratve methods f we have a lnear system Ax = b where A s very, very large but s ether sparse or structured (eg, banded, Toepltz, banded plus
More informationTHE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD
Journal of Appled Mathematcs and Computatonal Mechancs 06, 5(), 7-36 www.amcm.pcz.pl p-iss 99-9965 DOI: 0.75/jamcm.06..4 e-iss 353-0588 THE STURM-LIOUVILLE EIGEVALUE PROBLEM - A UMERICAL SOLUTIO USIG THE
More informationLecture 5.8 Flux Vector Splitting
Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form
More informationCollege of Computer & Information Science Fall 2009 Northeastern University 20 October 2009
College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:
More informationModule 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationOn the Gradgrad and divdiv Complexes, and a Related Decomposition Result for Biharmonic Problems in 3D: Part 2
RICAM Specal Semester, Workshop 1: Analyss and Numercs of Acoustc and Electromagnetc Problems Lnz, Austra, October 17, 216 On the Gradgrad and dvdv Complexes, and a Related Decomposton Result for Bharmonc
More informationA Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function
A Local Varatonal Problem of Second Order for a Class of Optmal Control Problems wth Nonsmooth Objectve Functon Alexander P. Afanasev Insttute for Informaton Transmsson Problems, Russan Academy of Scences,
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationHongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)
ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of
More informationPhysics 5153 Classical Mechanics. Principle of Virtual Work-1
P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal
More information2.29 Numerical Fluid Mechanics
REVIEW Lecture 10: Sprng 2015 Lecture 11 Classfcaton of Partal Dfferental Equatons PDEs) and eamples wth fnte dfference dscretzatons Parabolc PDEs Ellptc PDEs Hyperbolc PDEs Error Types and Dscretzaton
More informationLeast squares cubic splines without B-splines S.K. Lucas
Least squares cubc splnes wthout B-splnes S.K. Lucas School of Mathematcs and Statstcs, Unversty of South Australa, Mawson Lakes SA 595 e-mal: stephen.lucas@unsa.edu.au Submtted to the Gazette of the Australan
More informationRelaxation Methods for Iterative Solution to Linear Systems of Equations
Relaxaton Methods for Iteratve Soluton to Lnear Systems of Equatons Gerald Recktenwald Portland State Unversty Mechancal Engneerng Department gerry@pdx.edu Overvew Techncal topcs Basc Concepts Statonary
More informationProcedia Computer Science
Avalable onlne at www.scencedrect.com Proceda Proceda Computer Computer Scence Scence 1 (01) 00 (009) 589 597 000 000 Proceda Computer Scence www.elsever.com/locate/proceda Internatonal Conference on Computatonal
More informationAnalytical Gradient Evaluation of Cost Functions in. General Field Solvers: A Novel Approach for. Optimization of Microwave Structures
IMS 2 Workshop Analytcal Gradent Evaluaton of Cost Functons n General Feld Solvers: A Novel Approach for Optmzaton of Mcrowave Structures P. Harscher, S. Amar* and R. Vahldeck and J. Bornemann* Swss Federal
More informationTR A BDDC ALGORITHM FOR PROBLEMS WITH MORTAR DISCRETIZATION. September 4, 2005
TR2005-873 A BDDC ALGORITHM FOR PROBLEMS WITH MORTAR DISCRETIZATION HYEA HYUN KIM, MAKSYMILIAN DRYJA, AND OLOF B WIDLUND September 4, 2005 Abstract A BDDC balancng doman decomposton by constrants algorthm
More informationGeorgia Tech PHYS 6124 Mathematical Methods of Physics I
Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends
More informationVector Norms. Chapter 7 Iterative Techniques in Matrix Algebra. Cauchy-Bunyakovsky-Schwarz Inequality for Sums. Distances. Convergence.
Vector Norms Chapter 7 Iteratve Technques n Matrx Algebra Per-Olof Persson persson@berkeley.edu Department of Mathematcs Unversty of Calforna, Berkeley Math 128B Numercal Analyss Defnton A vector norm
More informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More informationA New Refinement of Jacobi Method for Solution of Linear System Equations AX=b
Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationform, and they present results of tests comparng the new algorthms wth other methods. Recently, Olschowka & Neumaer [7] ntroduced another dea for choo
Scalng and structural condton numbers Arnold Neumaer Insttut fur Mathematk, Unverstat Wen Strudlhofgasse 4, A-1090 Wen, Austra emal: neum@cma.unve.ac.at revsed, August 1996 Abstract. We ntroduce structural
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationFinite Element Modelling of truss/cable structures
Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures
More informationTime-Varying Systems and Computations Lecture 6
Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy
More informationNon-overlapping Domain Decomposition Applied to Incompressible Flow Problems
Contemporary Mathematcs Volume 218, 1998 B 0-8218-0988-1-03050-8 Non-overlappng Doman Decomposton Appled to Incompressble Flow Problems Frank-Chrstan Otto and Gert Lube 1. Introducton A non-overlappng
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationFACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP
C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class
More informationA new family of high regularity elements
A new famly of hgh regularty elements Jguang Sun Abstract In ths paper, we propose a new famly of hgh regularty fnte element spaces. The global approxmaton spaces are obtaned n two steps. We frst buld
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12
REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal
More informationThe Feynman path integral
The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space
More informationTensor Smooth Length for SPH Modelling of High Speed Impact
Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru
More informationSolutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution.
Solutons HW #2 Dual of general LP. Fnd the dual functon of the LP mnmze subject to c T x Gx h Ax = b. Gve the dual problem, and make the mplct equalty constrants explct. Soluton. 1. The Lagrangan s L(x,
More informationNonlinear Overlapping Domain Decomposition Methods
Nonlnear Overlappng Doman Decomposton Methods Xao-Chuan Ca 1 Department of Computer Scence, Unversty of Colorado at Boulder, Boulder, CO 80309, ca@cs.colorado.edu Summary. We dscuss some overlappng doman
More informationU.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017
U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that
More informationCSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography
CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve
More informationHigh resolution entropy stable scheme for shallow water equations
Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal
More informationAdditional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty
Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationA PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.
Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More information4DVAR, according to the name, is a four-dimensional variational method.
4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The
More informationFinite Element Solution Algorithm for Nonlinear Elasticity Problems by Domain Decomposition Method
Fnte Element Soluton Algorthm for Nonlnear Elastcty Problems by Doman Decomposton Method Bedřch Sousedík Department of Mathematcs, Faculty of Cvl Engneerng, Czech Techncal Unversty n Prague, Thákurova
More informationChapter 4 The Wave Equation
Chapter 4 The Wave Equaton Another classcal example of a hyperbolc PDE s a wave equaton. The wave equaton s a second-order lnear hyperbolc PDE that descrbes the propagaton of a varety of waves, such as
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationOptimal Control of Temperature in Fluid Flow
Kawahara Lab. 5 March. 27 Optmal Control of Temperature n Flud Flow Dasuke YAMAZAKI Department of Cvl Engneerng, Chuo Unversty Kasuga -3-27, Bunkyou-ku, Tokyo 2-855, Japan E-mal : d33422@educ.kc.chuo-u.ac.jp
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationThe Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method
Journal of Electromagnetc Analyss and Applcatons, 04, 6, 0-08 Publshed Onlne September 04 n ScRes. http://www.scrp.org/journal/jemaa http://dx.do.org/0.46/jemaa.04.6000 The Exact Formulaton of the Inverse
More informationLecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.
prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More informationAssortment Optimization under MNL
Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.
More informationAdvanced Quantum Mechanics
Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton
More informationThe equation of motion of a dynamical system is given by a set of differential equations. That is (1)
Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence
More informationGeneral viscosity iterative method for a sequence of quasi-nonexpansive mappings
Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,
More informationIntegrals and Invariants of Euler-Lagrange Equations
Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,
More informationModelli Clamfim Equazione del Calore Lezione ottobre 2014
CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationNumerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method
Appled Mathematcs, 6, 7, 5-4 Publshed Onlne Jul 6 n ScRes. http://www.scrp.org/journal/am http://.do.org/.436/am.6.77 umercal Solutons of a Generalzed th Order Boundar Value Problems Usng Power Seres Approxmaton
More informationNormally, in one phase reservoir simulation we would deal with one of the following fluid systems:
TPG4160 Reservor Smulaton 2017 page 1 of 9 ONE-DIMENSIONAL, ONE-PHASE RESERVOIR SIMULATION Flud systems The term sngle phase apples to any system wth only one phase present n the reservor In some cases
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationA MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS
Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF
More informationHomogenization of reaction-diffusion processes in a two-component porous medium with a non-linear flux-condition on the interface
Homogenzaton of reacton-dffuson processes n a two-component porous medum wth a non-lnear flux-condton on the nterface Internatonal Conference on Numercal and Mathematcal Modelng of Flow and Transport n
More informationA particle in a state of uniform motion remain in that state of motion unless acted upon by external force.
The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,
More informationFormal solvers of the RT equation
Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan
More informationSharp integral inequalities involving high-order partial derivatives. Journal Of Inequalities And Applications, 2008, v. 2008, article no.
Ttle Sharp ntegral nequaltes nvolvng hgh-order partal dervatves Authors Zhao, CJ; Cheung, WS Ctaton Journal Of Inequaltes And Applcatons, 008, v. 008, artcle no. 5747 Issued Date 008 URL http://hdl.handle.net/07/569
More informationOn the size of quotient of two subsets of positive integers.
arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,
More information(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate
Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1
More informationUniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity
Int. Journal of Math. Analyss, Vol. 6, 212, no. 22, 195-114 Unqueness of Weak Solutons to the 3D Gnzburg- Landau Model for Superconductvty Jshan Fan Department of Appled Mathematcs Nanjng Forestry Unversty
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More information