Research Article Cubic B-spline for the Numerical Solution of Parabolic Integro-differential Equation with a Weakly Singular Kernel
|
|
- Isabel Christiana Sharp
- 5 years ago
- Views:
Transcription
1 Researc Jornal of Appled Scences, Engneerng and Tecnology 7(): 65-7, 4 DOI:.96/afs.7.5 ISS: ; e-iss: Mawell Scenfc Pblcaon Corp. Sbmed: Jne 8, Acceped: Jly 9, Pblsed: Marc 5, 4 Researc Arcle Cbc B-splne for e mercal Solon of Parabolc Inegro-dfferenal Eqaon w a Weakly Snglar Kernel Sad S. Sddq and Sama Arsed Deparmen of Maemacs, Unversy of e Pnab, Laore 5459, Paksan Absrac: Te am of sdy s o solve parabolc negro-dfferenal eqaon w a weakly snglar kernel. Problems nvolvng paral negro-dfferenal eqaons arse n fld dynamcs, vscoelascy, engneerng, maemacal bology, fnancal maemacs and oer areas. Many maemacal formlaons of pyscal penomena conan negro-dfferenal eqaons. Inegro-dfferenal eqaons are sally dffcl o solve analycally so, s reqred o oban an effcen appromae solon. A nmercal meod s developed o solve e paral negro-dfferenal eqaon sng e cbc B-splne collocaon meod. Te meod s based on dscrezng e me dervave sng fne cenral dfference formla and e cbc B-splne collocaon meod for e spaal dervave. Tree eamples are consdered o llsrae e effcency of e meod developed. I s o be observed a e nmercal resls obaned by e proposed meod effcenly appromae e eac solons. Keywords: Cenral dfferences, collocaon meod, cbc B-splne, negro-dfferenal eqaon, weakly snglar kernel ITRODUCTIO Consder e followng paral negro-dfferenal eqaon w a weakly snglar kernel: β ( s) (, s) ds (, ) = f (, ), [ a, b], > Sbec o e nal condon: () (,) = g( ), () and approprae bondary condons: or ( a, ) = f ( ), ( b, ) = f ( ), Drcle condons ( a, ) = r ( ), ( b, ) = r ( ), emann condons () e kernel: α β ( ) =, α ) < α < s a snglar kernel a = and Γdenoes e gamma fncon, g (), f (), f (), r (), r () are known fncons, f (, ) s a gven smoo fncon and e fncon (, ) s nknown. Te negro-dfferenal Eq. () along w e consrans () and () occrs n applcaons sc as ea condcon n maeral w memory (Grn and Ppkn, 968; Mller, 978), compresson of porovscoelasc meda, poplaon dynamcs, nclear reacor dynamcs ec. I can be seen a n Eq. (), e kernel fncon as a weak snglary a e orgn (Tang, 99). Ts s parclar neresng n vscoelascy, becase mg smoo e solon wen e bondary daa s dsconnos (Renardy, 989). Solon of negro-paral dfferenal eqaons as recenly araced mc aenon of researc. Cen e al. (99) sed fne elemen meod for e nmercal solon of a parabolc negro-dfferenal eqaon w a weakly snglar kernel. In Farweaer (994), splne collocaon meods ave been appled o oban e nmercal solon for a class of yperbolc paral negro-dfferenal eqaons. Hang (994) sed me dscrezaon sceme for solvng negrodfferenal eqaons of parabolc ype. X (99a, b and c) sed fne elemen meod o solve parabolc paral negro-dfferenal eqaon. Wlan and X () sed fne cenral dfference/fne elemen appromaons for e nmercal solon of paral negro-dfferenal eqaons. Solman e al. () sed for order fne dfference and collocaon meod for e nmercal solon of paral negrodfferenal eqaon. Correspondng Aor: Sad S. Sddq, Deparmen of Maemacs, Unversy of e Pnab, Laore 5459, Paksan Ts work s lcensed nder a Creave Commons Arbon 4. Inernaonal Lcense (URL: p://creavecommons.org/lcenses/by/4./). 65
2 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 In s sdy, e appromae solon of parabolc negro-dfferenal eqaon w weakly snglar kernel s proposed sng cbc B-splne collocaon meod. Te collocaon meod w B-splne bass fncons represens an economcal alernave, snce only reqres e evalaon of e nknown parameers a e grd pons. Haang e al. () sed qnc B- splne collocaon meod for solvng for order paral negro-dfferenal eqaon w a weakly snglar kernel. TEMPORAL DISCRETIZATIO Consder a nform mes Δw e grd pons λ o dscreze e regon Ω = [ a, b] [, T]. Eac λ s e verces of e grd pon (, ) were = a =,,,..., and = k, =,,,..., M, Mk = T. Te qanes and k are e mes szes n e space and me drecons, respecvely. A fne dfference appromaon s sed o dscreze e me dervave nvolved n Eq. () a me pon = as: α α ( s) (, ) (, ( ) (, ) s) s ds = α) s k α) r r α ( s) (, r ) (, r ) ds α) k (, ) (, ) = ds α α). k ( s) r r r (, ) (, ) [( ) α α = α ] α α). k ds (, ) (, ) k. α) ds α ( s) (, r ) (, r) [( r ) α α r α ] α α). k r (, ) (, ) = b Γ ( α ). Γ ( ) (, ) (, ) r r b α r α k α k (4) α α b r = ( r ) r, r =,,,...,. Te dscree dfferenal operaor L α can be defned as: L α (, b α (, ) = ) (, ) (, r ) (, r) α br α ). k α ) k leads o e followng dfference sceme o Eq. (): L α (, ) (, ) f (, ) I can frer be wren as: b (, ) (, ) (, ) (, ) r r (, ) (, ) b r f α α α ) k α ) k Te above eqaon can be rewren as: b ( ) α ) k α ( ) = (, ), br = b ( ) b ( r ( ) r b ( ( ) ( )) α ) k = ( r ) r α α α ( )) f (5) ( ) (6) r,,,,...,. α oe a b = and le a = α ) k, en e rg and sde of Eq. (6) can be reformlaed as: () - a = -b () ( ) -r () - b () (b - b ) () a f (), (7) w e bondary condons: ( a) = f ( ), ( b ) = f ( ) (8) In eac me level, ere s an ordnary dfferenal eqaon n e form of Eq. (7) w e bondary condons Eq. (8), wc s solved by cbc B-splne collocaon meod. Te proposed sceme Eq. (7) s a ree level sceme. In order o apply e proposed sceme, s necessary o ave e vales of a e nodal pons a e zero ( ) and frs ( ) level mes. To compe sbse = (e specal case), n Eq. (5), can be wren as: ( ) a = ( ) a f ( ) (9) Te Eq. (4) can be rewren as: ( s) α ) α ) (, s s ds L α (, ) = (, ) = g ( ) s e vale of a e zero level me (e nal condon). CUBIC B-SPLIE COLLOCATIO METHOD Sbsng L α, ) as an appromaon of: ( α ( s) ) α ) (, s s ds = { a= < < <... < = b} be e Le paron of [a, b]. Le B be B-splne bass fncons w knos a e pons, =,,,. Ts, an appromaon U () o e eac solon U () 66
3 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Table : Coeffcen of cbc B-splne and s dervaves a knos - - else B () 4 () B () / -/ () B () 6/ -/ 6/ A me level, can be epressed n erms of e cbc B-splne bass fncons B () as: = U c B = ( ) ( ) ( ) () c are nknown me dependen qanes o be deermned from e bondary condons and collocaon form of e negro-dfferenal eqaon. Te cbc B-splne B (), =,,..., can be defned as nder: ( ), [, ], ( ) ( ) ( ), [, ], B ( ) = ( ) ( ) ( ), [, ], ( ), [, ],, oerwse Te vales of sccessve dervaves ( r B ) ( ), =,..., ; r =,, a nodes, are lsed n Table. Le, U () sasfes e bondary condons: U ( a) = f ( ), U ( b ) = f ( ) and e collocaon eqaons: U U ( ) a b U ( ) ( b b ) U ( ) r = r r b U ( ) ( b b ) U ( ) a f ( ),, =,,,..., Te above eqaon can be rewren, by omng e dependence of U () on as: Smplfyng e above relaon leads o e followng sysem of () lnear eqaons n () nknowns c, c, c,..., c, c. 6 6 a c 4 a c a c = F,, =,,,..., r r r = r r F b ( c 4 c c ) ( b b )( c 4 c c ) b ( c 4 c c ) ( b b )( c 4 c c ) a f () To oban e nqe solon of e sysem (), wo addonal consrans are reqred. Tese consrans are obaned from e bondary condons. Imposon of e bondary condons enables s o elmnae e parameers c - and c from e sysem (). Frs e Drcle bondary condons are sed n order o elmnae c - and c, as: ( a, ) = ( c 4 c c ) = f ( ) ( b, ) = ( c 4 c c ) = f ( ) c = 4 c c f ( ) c = 4 c c f ( ) Afer elmnang c - and c, e sysem () s redced o a r-dagonal sysem of () lnear eqaons n () nknowns. Ts sysem can be rewren n mar form as: A C =F, =,,,... C = [ c, c,..., c ], =,,,... Te coeffcen mar A s gven as nder: (4) U U a b U b b U r = ( r r ) b U ( b b ) U a f, =,,,..., () Sbsng Eq. () no Eq. (), can be wren as: 6 ( c 4 c c ) a ( c c c ) r r r r r = b ( c 4 c c ) ( b b )( c 4 c c ) b ( c 4 c c ) ( b b )( c 4 c c ) a f () 67 6 a α β α α β α A = O O O α β α 6 a α a 6, β = 4 a =
4 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Te emann bondary condons can also be appled n order o elmnae c - and c, as: Te vale of C s obaned, solvng Eq. (9) sng cbc B-splne collocaon meod, as: ( a, ) = ( c c) = r ( ) ( b, ) = ( c c ) = r ( ) c = c r ( ) c = c r ( ) Afer elmnang c - and c, e sysem () s redced o a r-dagonal sysem of () lnear eqaons n () nknowns. Ts sysem can be rewren n mar form as: A C =F, =,,,... C = [ c, c,..., c ], =,,,... Te coeffcen mar A s gven as nder: (5) 4 a a γ δ γ γ δ γ A= O O O γ δ γ a 4 a 6 γ = a, δ = 4 a 6 a c 4 a c a c = F, =,,,..., (7) F = ( c 4 c c ) a f Te above Eq. (7) s a sysem of () lnear eqaons n () nknownsc, c, c,..., c, c. To oban e nqe solon of s sysem, elmnae c - and c, sng Drcle and emann bondary condons. Te me evolon of e appromae solon U s deermned by e me evolon of e vecor C. Ts s fond by repeaedly solvng e recrrence relaonsp, once e nal vecor C = [ c, c,..., c ] T, as been comped from e nal condon. Te recrrence relaonsp s r-dagonal and so can be solved sng Tomas algorm. Te nal sae vecor: Te nal sae vecor C can be deermned from e nal condon (,) = ( ) = g ( ) wc gves () eqaons n () nknowns. For deermnng ese nknowns e followng relaons a e knos are sed: U ( a,) = (,), (,) = ( ), =,,,..., U ( b,) = (, ) U wc gves a r-dagonal sysem of eqaons n e followng mar: G C =E Usng e sysem (), for =, followng s e sysem of () lnear eqaons n () nknowns c, c, c,..., c, c. 6 6 a c 4 a c a c = F, =,,,..., (6) F = b ( c 4 c c ) ( b b )( c 4 c c ) a f In order o fnd e vale of C = [ c, c,..., c ] T, s frs needed o fnd e vale of C = [ c, c,..., c ] T G = 4 O O O 4 4 UMERICAL RESULTS Te proposed meod s esed on e followng ree problems. Le:
5 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Table : Te errors e M and e M wen = 6 and k =. for eample M e M e M 4.48 E E E-5.77 E-6.7 E-5.9 E E E E-6.76 E-7 Table : Te errors e M and e M wen = 6 and k =. for eample M e M e M E E E E E E E E E E-5 Table 4: Te errors e M and e M wen M = and k =. for eample e M e M.76 E E E E-5.5 E-4.74 E E E E E-6 Table 5: Te errors e M and e M wen = 6 and k =. for eample M e M e M 9.4 E E-6 9. E E E E E E E E-6 Table 6: Te errors e M and e M wen = 6 and k =. for eample M e M e M 9.94 E E E E E E E E E E-5 Table 7: Te errors e M and e M wen M = and k =. for eample e M e M E E-4.68 E E E E-6 4. E-6.6 E-6 = k, =,,,..., M, =, were M denoes e fnal me level M and s e nmber of nodes. In order o ceck e accracy of e proposed meod, e mamm norm errors and L norm errors beween nmercal and eac solon are gven w e followng defnons: Eample : Followng s e second order parabolc negro-dfferenal eqaon: ( s) α) α (, s) ds (, ) = f (, ), [,], >, α=.5 w e nal condon: (,) = sn π, [,] and bondary condons: (, ) = = (, ), Te eac solon of e problem s: (, ) = ( )snπ (8) Te nmercal solons a = 6, k =. and k =., w dfferen me levels M, are presened n Table and respecvely. Te nmercal solons a M = and k =. for dfferen vales of are ablaed n Table 4. In Table o 4, e me ncremen k, e space ncremen = and me level M are vared o es e accracy of e proposed meod, wc ndcaes a e proposed meod s sbsanally effcen. In order o ndcae e effec of e proposed meod for larger M, e eac solon and e nmercal solon are ploed sng =, M = 5 and k =. as sown n Fg.. Wen =, k =. and M = e eac solon and e nmercal solon a e M me level are sown n Fg.. I can be observed from e Table o 4 and Fg. and, a e proposed meod appromaes e eac solon very effcenly. Eample : Followng s e parabolc negrodfferenal eqaon: ( s) α) α (, s) ds (, ) = f (, ), [,], >, α=.5 w e nal condon: (, ) = cos π, [,] and Drcle bondary condons: (9) Mamm norm error: e = ma (, ) U M M M L e U M norm error: M = (, ) M = (, ) = ( ), (, ) = ( )cos( π ), Te eac solon of e problem s: 69
6 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Fg. : Te resls a M = 5 for eample.5 Te M- eac solon Te M- nmercal solon Fg. : Te eac and nmercal solons a M = (, ) = ( ) cosπ Te nmercal solons a = 6, k =. and k =., w dfferen me levels M, are presened n Table 5 and 6 respecvely. Te nmercal solons a M = and k =. for dfferen vales of are ablaed n Table 7. In Table 5 o 7, e me ncremen k, e space ncremen = and me level M are vared o es e accracy of e proposed meod, wc ndcaes a e proposed meod s sbsanally effcen. In order o ndcae e effec of e proposed meod for larger M, e eac solon and e 7 nmercal solon are ploed sng =, M = 5 and k =. as sown n Fg.. Wen =, k =. and M = e eac solon and e nmercal solon a e M me level are sown n Fg. 4. I can be observed from e Table 5 o 7 and Fg. and 4, a e proposed meod appromaes e eac solon very effcenly. Eample : Followng s e parabolc negrodfferenal eqaon: ( s) α) α (, s) ds (, ) = f (, ), [,], >, α=.5 ()
7 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Fg. : Te resls a M = 5 for eample. Te M- eac solon Te M- nmercal solon Fg. 4: Te eac and nmercal solons a M = w e nal condon: (,) = sn π, [,] and emann bondary condons: Table 8: Mamm norm errors e M for = 4 for eample M k =. e M k =.5 e M E-4.8 E- 4. E E E-4.6 E E-.988 E- 5.4 E-.875 E- (, ) = π( ) cos π, π π (, ) = ( ) cos( ), Te eac solon of e problem s: π (, ) = ( ) sn Te nmercal solons a = 4, k =. and k =.5, w dfferen me levels M, are presened n Table 8 and 9 respecvely. In Table 8 and 9, e me 7 Table 9: L norm errors e M for = 4 for eample M k =. e M k =.5 em E-5.57 E E E-5.7 E E E E E-4.44 E-4 ncremen k and me level M are vared o es e accracy of e proposed meod, wc ndcaes a e proposed meod s sbsanally effcen. In order o ndcae e effec of e proposed meod for larger M, e eac solon and e
8 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Fg. 5: Te resls a M = 5 for eample Te M- eac solon Te M- nmercal solon Fg. 6: Te eac and nmercal solons a M = nmercal solon are ploed sng =, M = 5 and k =. as sown n Fg. 5. Wen =, k =. and M = e eac solon and e nmercal solon a e M me level are sown n Fg. 6. I can be observed from e Table 8 and 9 and Fg. 5 and 6, a e proposed meod appromaes e eac solon very effcenly. COCLUSIO Te nmercal solon of parabolc negrodfferenal eqaon w a weakly snglar kernel s sded sng cbc B-splne collocaon meod. Te parabolc negro-dfferenal eqaon s dscrezed by e fne cenral dfference formla n e me drecon and e cbc B-splne collocaon meod for spaal dervave. Te parameers, k and M are vared n order o es e accracy of e proposed meod. I s observed from e nmercal epermens, a e proposed meod possesses g degree of effcency and accracy. Moreover, e nmercal resls are n 7 good agreemen w e eac solons. Te nmercal solons of non-lnear parabolc negro-dfferenal eqaons are n progress. REFERECES Cen, C., V. Tomée and L.B. Walbn, 99. Fne elemen appromaon of a parabolc negrodfferenal eqaon w a weakly snglar kernel. Ma Comp., 58: Farweaer, G., 994. Splne collocaon meods for a class of yperbolc paral negro-dfferenal eqaons. SIAM J. mer. Anal., : Grn, M.E. and A.C. Ppkn, 968. A general eory of ea condcon w fne wave speed. Arc. Raon. Mec. An., : -6. Haang, Z., H. Xl and Y. Xea,. Qnc B- splne collocaon meod for for order paral negro-dfferenal eqaons w a weakly snglar kernel. Appl. Ma. Comp., 9:
9 Res. J. Appl. Sc. Eng. Tecnol., 7(): 65-7, 4 Hang, Y.Q., 994. Tme dscrezaon sceme for an negro-dfferenal eqaon of parabolc ype. J. Comp. Ma., : Mller, R.K., 978. An negro-dfferenal eqaon for rgd ea condcors w memory. J. Ma. Anal. Appl., 66: -. Renardy, M., 989. Maemacal analyss of vscoelasc flows. Ann. Rev. Fld Mec., : -6. Solman, A.F., A.M.A. EL-Asyed and M.S. El-Azab,. On e nmercal solon of paral negrodfferenal eqaons. Ma. Sc. Le., : 7-8. Tang, T., 99. A fne dfference sceme for paral negro-dfferenal eqaons w a weakly snglar kernel. Appl. mer. Ma., : 9-9. Wlan, L. and D. X,. Fne cenral dfference/fne elemen appromaons for parabolc negro-dfferenal eqaons. Compng, 9: 89-. X, D., 99a. On e dscrezaon n me for a parabolc negro-dfferenal eqaon w a weakly snglar kernel I: Smoo nal daa. Appl. Ma. Comp., 58: -7. X, D., 99b. On e dscrezaon n me for a parabolc negrodfferenal eqaon w a weakly snglar kernel II: onsmoo nal daa. Appl. Ma. Comp., 58: 9-6. X, D., 99c. Fne elemen meods for e nonlnear negro-dfferenal eqaons. Appl. Ma. Comp., 58:
Solving Parabolic Partial Delay Differential. Equations Using The Explicit Method And Higher. Order Differences
Jornal of Kfa for Maemacs and Compe Vol. No.7 Dec pp 77-5 Solvng Parabolc Paral Delay Dfferenal Eqaons Usng e Eplc Meod And Hger Order Dfferences Asss. Prof. Amal Kalaf Haydar Kfa Unversy College of Edcaon
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationCONSISTENT EARTHQUAKE ACCELERATION AND DISPLACEMENT RECORDS
APPENDX J CONSSTENT EARTHQUAKE ACCEERATON AND DSPACEMENT RECORDS Earhqake Acceleraons can be Measred. However, Srcres are Sbjeced o Earhqake Dsplacemens J. NTRODUCTON { XE "Acceleraon Records" }A he presen
More informationSolution of a diffusion problem in a non-homogeneous flow and diffusion field by the integral representation method (IRM)
Appled and ompaonal Mahemacs 4; 3: 5-6 Pblshed onlne Febrary 4 hp://www.scencepblshnggrop.com//acm do:.648/.acm.43.3 olon of a dffson problem n a non-homogeneos flow and dffson feld by he negral represenaon
More informationDynamic Model of the Axially Moving Viscoelastic Belt System with Tensioner Pulley Yanqi Liu1, a, Hongyu Wang2, b, Dongxing Cao3, c, Xiaoling Gai1, d
Inernaonal Indsral Informacs and Comper Engneerng Conference (IIICEC 5) Dynamc Model of he Aally Movng Vscoelasc Bel Sysem wh Tensoner Plley Yanq L, a, Hongy Wang, b, Dongng Cao, c, Xaolng Ga, d Bejng
More informationVariational method to the second-order impulsive partial differential equations with inconstant coefficients (I)
Avalable onlne a www.scencedrec.com Proceda Engneerng 6 ( 5 4 Inernaonal Worksho on Aomoble, Power and Energy Engneerng Varaonal mehod o he second-order mlsve aral dfferenal eqaons wh nconsan coeffcens
More informationObserver Design for Nonlinear Systems using Linear Approximations
Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationP R = P 0. The system is shown on the next figure:
TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationNumerical solution of second-order hyperbolic telegraph equation via new cubic trigonometric B-splines approach
Nazr e al., Cogen Mahemacs 17, : 13861 hps://do.org/18/3311835.17.13861 APPLIED & INTERDISCIPLINARY MATHEMATICS RESEARCH ARTICLE Numercal soluon of second-order hyperbolc elegraph equaon va new cubc rgonomerc
More informationStochastic Programming handling CVAR in objective and constraint
Sochasc Programmng handlng CVAR n obecve and consran Leondas Sakalaskas VU Inse of Mahemacs and Informacs Lhana ICSP XIII Jly 8-2 23 Bergamo Ialy Olne Inrodcon Lagrangan & KKT condons Mone-Carlo samplng
More information, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables
Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of
More informationA NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION
S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationReview of Numerical Schemes for Two Point Second Order Non-Linear Boundary Value Problems
Proceedngs of e Pasan Academ of Scences 5 (: 5-58 (5 Coprg Pasan Academ of Scences ISS: 377-969 (prn, 36-448 (onlne Pasan Academ of Scences Researc Arcle Revew of umercal Scemes for Two Pon Second Order
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationWronskian Determinant Solutions for the (3 + 1)-Dimensional Boiti-Leon-Manna-Pempinelli Equation
Jornal of Appled Mahemacs and Physcs 0 8-4 Pblshed Onlne ovember 0 (hp://www.scrp.org/jornal/jamp) hp://d.do.org/0.46/jamp.0.5004 Wronskan Deermnan Solons for he ( + )-Dmensonal Bo-Leon-Manna-Pempnell
More informationDifferent kind of oscillation
PhO 98 Theorecal Qeson.Elecrcy Problem (8 pons) Deren knd o oscllaon e s consder he elecrc crc n he gre, or whch mh, mh, nf, nf and kω. The swch K beng closed he crc s copled wh a sorce o alernang crren.
More informationMethod of Characteristics for Pure Advection By Gilberto E. Urroz, September 2004
Mehod of Charaerss for Pre Adveon By Glbero E Urroz Sepember 004 Noe: The followng noes are based on lass noes for he lass COMPUTATIONAL HYDAULICS as agh by Dr Forres Holly n he Sprng Semeser 985 a he
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationReconstruction of Variational Iterative Method for Solving Fifth Order Caudrey-Dodd-Gibbon (CDG) Equation
Shraz Unvery of Technology From he SelecedWor of Habbolla Lafzadeh Reconrcon of Varaonal Ierave Mehod for Solvng Ffh Order Cadrey-Dodd-Gbbon (CDG Eqaon Habbolla Lafzadeh, Shraz Unvery of Technology Avalable
More informationA Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee
A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes
More informationChapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are
Chaper 6 DCIO AD IMAIO: Fndaenal sses n dgal concaons are. Deecon and. saon Deecon heory: I deals wh he desgn and evalaon of decson ang processor ha observes he receved sgnal and gesses whch parclar sybol
More informationBOUNDARY VALUE PROBLEMS FOR DIFFERENTIAL EQUATIONS BY USING LIE GROUP
Jornal of Theoreal and Appled Informaon Tehnology s Oober 8. Vol.96. No ongong JATIT & LLS ISSN: 99-86 www.ja.org E-ISSN: 87-9 BOUNDARY VALUE PROBLEMS FOR DIFFERENTIAL EQUATIONS BY USING LIE GROUP EMAN
More informationT q (heat generation) Figure 0-1: Slab heated with constant source 2 = q k
IFFERETIL EQUTIOS, PROBLE BOURY VLUE 5. ITROUCTIO s as been noed n e prevous caper, boundary value problems BVP for ordnary dfferenal equaons ave boundary condons specfed a more an one pon of e ndependen
More informationA SIMPLE TEST FOR PLANAR GRAPHS. The work of this author was done while employed as a summer research assistant in Academia Sinica.
A SIMPLE TEST FOR PLANAR GRAPHS We-Kan S and Wen-Lan Hs Deparmen of Comper Scence, Unversy of Illnos, Urbana, Illnos, USA. Te work of s aor was done wle employed as a smmer researc asssan n Academa Snca.
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationNUMERICAL SOLUTION OF THIN FILM EQUATION IN A CLASS OF DISCONTINUOUS FUNCTIONS
Eropen Scenfc Jornl Ags 5 /SPECAL/ eon SSN: 857 788 Prn e - SSN 857-74 NMERCAL SOLON OF HN FLM EQAON N A CLASS OF DSCONNOS FNCONS Bn Snsoysl Assoc Prof Mr Rslov Prof Beyen nversy Deprmen of Memcs n Compng
More informationM. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria
IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund
More informationThe Elastic Wave Equation. The elastic wave equation
The Elasc Wave Eqaon Elasc waves n nfne homogeneos soropc meda Nmercal smlaons for smple sorces Plane wave propagaon n nfne meda Freqency, wavenmber, wavelengh Condons a maeral dsconnes nell s Law Reflecon
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationMethod of upper lower solutions for nonlinear system of fractional differential equations and applications
Malaya Journal of Maemak, Vol. 6, No. 3, 467-472, 218 hps://do.org/1.26637/mjm63/1 Mehod of upper lower soluons for nonlnear sysem of fraconal dfferenal equaons and applcaons D.B. Dhagude1 *, N.B. Jadhav2
More informationAE/ME 339. K. M. Isaac. 8/31/2004 topic4: Implicit method, Stability, ADI method. Computational Fluid Dynamics (AE/ME 339) MAEEM Dept.
AE/ME 339 Comptatonal Fld Dynamcs (CFD) Comptatonal Fld Dynamcs (AE/ME 339) Implct form of dfference eqaton In the prevos explct method, the solton at tme level n,,n, depended only on the known vales of,
More informationUNIVERSAL BOUNDS FOR EIGENVALUES OF FOURTH-ORDER WEIGHTED POLYNOMIAL OPERATOR ON DOMAINS IN COMPLEX PROJECTIVE SPACES
wwwrresscom/volmes/vol7isse/ijrras_7 df UNIVERSAL BOUNDS FOR EIGENVALUES OF FOURTH-ORDER WEIGHTED POLYNOIAL OPERATOR ON DOAINS IN COPLEX PROJECTIVE SPACES D Feng & L Ynl * Scool of emcs nd Pyscs Scence
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationCalculation of the Resistance of a Ship Mathematical Formulation. Calculation of the Resistance of a Ship Mathematical Formulation
Ressance s obaned from he sm of he frcon and pressre ressance arables o deermne: - eloc ecor, (3) = (,, ) = (,, ) - Pressre, p () ( - Dens, ρ, s defned b he eqaon of sae Ressance and Proplson Lecre 0 4
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationESTIMATION OF HYDRAULIC JUMP LOCATION USING NUMERICAL SIMULATION
Twel Inernaonal Waer Tecnology Conerence, IWTC 8, Aleandra, gyp STIMATION OF HYDRAULIC JUMP LOCATION USING NUMRICAL SIMULATION M. T. Samaa,, M. Hasem and H. M. Karr, Cvl ngneerng Deparmen, Facly o ngneerng,
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationMohammad H. Al-Towaiq a & Hasan K. Al-Bzoor a a Department of Mathematics and Statistics, Jordan University of
Ths arcle was downloaded by: [Jordan Unv. of Scence & Tech] On: 05 Aprl 05, A: 0:4 Publsher: Taylor & Francs Informa Ld Regsered n England and ales Regsered umber: 07954 Regsered offce: Mormer House, 37-4
More information( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
More information2/20/2013. EE 101 Midterm 2 Review
//3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance
More informationImprovement of Two-Equation Turbulence Model with Anisotropic Eddy-Viscosity for Hybrid Rocket Research
evenh Inernaonal onference on ompaonal Fld Dynamcs (IFD7), Bg Island, awa, Jly 9-, IFD7-9 Improvemen of Two-Eqaon Trblence Model wh Ansoropc Eddy-Vscosy for ybrd oce esearch M. Mro * and T. hmada ** orrespondng
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationDelay Dependent Robust Stability of T-S Fuzzy. Systems with Additive Time Varying Delays
Appled Maemacal Scences, Vol. 6,, no., - Delay Dependen Robus Sably of -S Fuzzy Sysems w Addve me Varyng Delays Idrss Sad LESSI. Deparmen of Pyscs, Faculy of Scences B.P. 796 Fès-Alas Sad_drss9@yaoo.fr
More informationA DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE
S13 A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE by Hossen JAFARI a,b, Haleh TAJADODI c, and Sarah Jane JOHNSTON a a Deparen of Maheacal Scences, Unversy
More informationI-POLYA PROCESS AND APPLICATIONS Leda D. Minkova
The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationNumerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline
IOSR Journal of Matematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 14, Issue 6 Ver. I (Nov - Dec 018), PP 6-30 www.osrournals.org Numercal Smulaton of One-Dmensonal Wave Equaton by Non-Polynomal
More informationOutline. Review Solution Approaches. Review Basic Equations. Nature of Turbulence. Review Fluent Exercise. Turbulence Models
Trblence Models Larry areo Mechancal Engneerng 69 ompaonal Fld Dynamcs Febrary, Olne Revew las lecre Nare of rblence Reynolds-average Naver-Soes (RNS) Mng lengh heory Models sng one dfferenal eqaon Two-eqaon
More informationNUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS
NUMERICAL SOLUTIONS TO ORDINARY DIFFERENTIAL EQUATIONS If e eqao coas dervaves of a - order s sad o be a - order dffereal eqao. For eample a secod-order eqao descrbg e oscllao of a weg aced po b a sprg
More informationChapter Finite Difference Method for Ordinary Differential Equations
Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationSolution for singularly perturbed problems via cubic spline in tension
ISSN 76-769 England UK Journal of Informaton and Computng Scence Vol. No. 06 pp.6-69 Soluton for sngularly perturbed problems va cubc splne n tenson K. Aruna A. S. V. Rav Kant Flud Dynamcs Dvson Scool
More informationTurbulence Modelling (CFD course)
Trblence Modellng (CFD corse) Sławomr Kbac slawomr.bac@mel.pw.ed.pl 14.11.016 Copyrgh 016, Sławomr Kbac Trblence Modellng Sławomr Kbac Conens 1. Reynolds-averaged Naver-Soes eqaons... 3. Closre of he modelled
More informationSINGULARLY PERTURBED BOUNDARY VALUE. We consider the following singularly perturbed boundary value problem
Cater PARAETRIC QUITIC SPLIE SOLUTIO OR SIGULARLY PERTURBED BOUDARY VALUE PROBLES Introcton We conser te ollong snglarly ertrbe bonary vale roblem " L r r > an ere s a small ostve arameter st
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More informationReal-Time Trajectory Generation and Tracking for Cooperative Control Systems
Real-Tme Trajecor Generaon and Trackng for Cooperave Conrol Ssems Rchard Mrra Jason Hcke Calforna Inse of Technolog MURI Kckoff Meeng 14 Ma 2001 Olne I. Revew of prevos work n rajecor generaon and rackng
More informationSeveral examples of the Crank-Nicolson method for parabolic partial differential equations
Academia Jornal of Scienific Researc (4: 063-068, May 03 DOI: p://dx.doi.org/0.543/asr.03.07 ISSN: 35-77 03 Academia Pblising Researc Paper Several examples of e Crank-Nicolson meod for parabolic parial
More informationDEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL
DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA
More informationStability Analysis of Fuzzy Hopfield Neural Networks with Timevarying
ISSN 746-7659 England UK Journal of Informaon and Compung Scence Vol. No. 8 pp.- Sably Analyss of Fuzzy Hopfeld Neural Neworks w mevaryng Delays Qfeng Xun Cagen Zou Scool of Informaon Engneerng Yanceng
More informationSound Transmission Throough Lined, Composite Panel Structures: Transversely Isotropic Poro- Elastic Model
Prde nvery Prde e-pb Pblcaon of he Ray. Herrc aboraore School of Mechancal Engneerng 8-5 Sond Tranmon Throogh ned, Comoe Panel Srcre: Tranverely Ioroc Poro- Elac Model J Sar Bolon Prde nvery, bolon@rde.ed
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationNATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours
NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationGenetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems
Genec Algorhm n Parameer Esmaon of Nonlnear Dynamc Sysems E. Paeraks manos@egnaa.ee.auh.gr V. Perds perds@vergna.eng.auh.gr Ah. ehagas kehagas@egnaa.ee.auh.gr hp://skron.conrol.ee.auh.gr/kehagas/ndex.hm
More informationAPPROXIMATE ANALYTIC SOLUTIONS OF A NONLINEAR ELASTIC WAVE EQUATIONS WITH THE ANHARMONIC CORRECTION
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY Seres A OF THE ROMANIAN ACADEMY Volume 6 Number /5 pp 8 86 APPROXIMATE ANALYTIC SOLUTIONS OF A NONLINEAR ELASTIC WAVE EQUATIONS WITH THE ANHARMONIC
More informationOPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR
Jornal of KONES Powerran and Transpor, Vol. 17, No. 010 OPTIMIZATION OF A NONCONVENTIONAL ENGINE EVAPORATOR Andre Kovalí, Eml Toporcer Unversy of Žlna, Facly of Mechancal Engneerng Deparmen of Aomove Technology
More informationFI 3103 Quantum Physics
/9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon
More informationMidterm Exam. Thursday, April hour, 15 minutes
Economcs of Grow, ECO560 San Francsco Sae Unvers Mcael Bar Sprng 04 Mderm Exam Tursda, prl 0 our, 5 mnues ame: Insrucons. Ts s closed boo, closed noes exam.. o calculaors of an nd are allowed. 3. Sow all
More informationExistence of Time Periodic Solutions for the Ginzburg-Landau Equations. model of superconductivity
Journal of Mahemacal Analyss and Applcaons 3, 3944 999 Arcle ID jmaa.999.683, avalable onlne a hp:www.dealbrary.com on Exsence of me Perodc Soluons for he Gnzburg-Landau Equaons of Superconducvy Bxang
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
More informationNumerical Solution of Quenching Problems Using Mesh-Dependent Variable Temporal Steps
Numercal Soluon of Quenchng Problems Usng Mesh-Dependen Varable Temporal Seps K.W. LIANG, P. LIN and R.C.E. TAN Deparmen of Mahemacs Naonal Unversy of Sngapore Sngapore 7543 Absrac In hs paper, we nroduce
More informationQi Kang*, Lei Wang and Qidi Wu
In. J. Bo-Inspred Compaon, Vol., Nos. /, 009 6 Swarm-based approxmae dynamc opmzaon process for dscree parcle swarm opmzaon sysem Q Kang*, Le Wang and Qd W Deparmen of Conrol Scence and Engneerng, ongj
More informationAnalysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach
1 Appeared n Proceedng of he 62 h Annual Sesson of he SLAAS (2006) pp 96. Analyss And Evaluaon of Economerc Tme Seres Models: Dynamc Transfer Funcon Approach T.M.J.A.COORAY Deparmen of Mahemacs Unversy
More informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
More informationSHOALING OF NONLINEAR INTERNAL WAVES ON A UNIFORMLY SLOPING BEACH
SHOALING OF NONLINEAR INTERNAL WAVES ON A UNIFORMLY SLOPING BEACH Ke Yamasa Taro Kaknuma and Kesuke Nakayama 3 Te nernal waves n e wo-layer sysems ave been numercally smulaed by solvng e se o nonlnear
More informationResearch Article Cubic Spline Collocation Method for Fractional Differential Equations
Hndaw Publshng orporaon Journal of Appled Mahemacs Volume 3, Arcle ID 8645, pages hp://dx.do.org/.55/3/8645 Research Arcle ubc Splne ollocaon Mehod for Fraconal Dfferenal Equaons Shu-Png Yang and A-Guo
More informationAdvanced Macroeconomics II: Exchange economy
Advanced Macroeconomcs II: Exchange economy Krzyszof Makarsk 1 Smple deermnsc dynamc model. 1.1 Inroducon Inroducon Smple deermnsc dynamc model. Defnons of equlbrum: Arrow-Debreu Sequenal Recursve Equvalence
More informationComparison between two solar tower receivers of different geometry
Reve des Energes Renovelables Vol. 20 N 4 (2017) 713-720 Comparson beween wo solar ower recevers of dfferen geomery M. Hazmone 1.2 *, B. Aor 2, M.M. Hada 1 and A. Male 1 1 Cenre de Développemen des Energes
More informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
More informationNumerical simulation of flow reattachment length in a stilling basin with a step-down floor
5 h Inernaonal Symposm on Hydralc Srcres Brsbane, Asrala, 5-7 Jne 04 Hydralc Srcres and Socey: Engneerng hallenges and Eremes ISBN 97874756 - DOI: 0.464/ql.04.3 Nmercal smlaon of flow reaachmen lengh n
More informationHow about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?
lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of
More informationFAIPA_SAND: An Interior Point Algorithm for Simultaneous ANalysis and Design Optimization
FAIPA_AN: An Ineror Pon Algorhm for mlaneos ANalyss an esgn Opmzaon osé Hersos*, Palo Mappa* an onel llen** *COPPE / Feeral Unersy of Ro e anero, Mechancal Engneerng Program, Caa Posal 6853, 945 97 Ro
More informationMEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS
MEEN 67 - Handou 4a ELEMENTS OF ANALYTICAL MECHANICS Newon's laws (Euler's fundamenal prncples of moon) are formulaed for a sngle parcle and easly exended o sysems of parcles and rgd bodes. In descrbng
More informationModel-Based FDI : the control approach
Model-Baed FDI : he conrol approach M. Saroweck LAIL-CNRS EUDIL, Unver Llle I Olne of he preenaon Par I : model Sem, normal and no normal condon, fal Par II : he decon problem problem eng noe, drbance,
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More information