PARAMETRIC STUDY OF FLUID DYNAMICS IN PEM FUEL CELLS
|
|
- Everett Harris
- 5 years ago
- Views:
Transcription
1 THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY Seres A OF THE ROMANIAN ACADEMY Volume Number /9 pp PARAMETRIC STUDY OF FLUID DYNAMICS IN PEM FUEL CELLS Anca CAPATINA* Hora ENE* Dan POLIŞEVSCHI* Ruanra STAVRE* *Insttute o Mathematcs Smon Stolow o Romana Unversty o Ptest Romana Corresponng author: Dan POLIŞEVSCHI e-mal: DanPolsevsch@marro Ths paper s a research n the rame o the Grant CE 89/6 Water an thermc management or PEM uel cells We stuy here the low n the Gas Duson Layer o a PEM uel cell In ths regon the ynamc o lus s governe by capllary an uson phenomenon The usonconvecton process s stue nvolvng the oygen an water vapors Our moel s smlar wth the Hele-Shaw moel whch escrbes the splacement o two mmscble lus wth erent vscostes between two parallel plates at a small stance (see [9]) The concentratons o the lus are nvertble n terms o the vscostes I the splacng lu s less vscous the nterace between the lus s unstable We conser a uson regon between the two lus where the vscosty s a parameter We stuy the lnear stablty o a basc soluton n terms o the uson coecent We get an upper estmate o the growth constant o perturbaton A large enough uson coecent gves us a sgncant mprovement o the low stablty Key wors: Proton echange membrane Fuell cells Numercal methos Engenvalue problems INTRODUCTION The water transport n a PEM uel cells (PEMFC) s governe by the mass transer an uson appearng n the Gas Duson Layer (GDL) regon Some prevous an nterestng results are gven n [3] [4] [5] [3] A capllary pressure ests on the nterace gas-lqu an the surace tenson s nvolve In [3] the capllary pressure s gven by Genuchten s uncton escrbe also n [4] The uson process n characterze by the uson coecent η In [4] are gven some methos to n η At the Workshop Moelng an Smulaton o PEM Fuel Cells Freburg Unverstät 6 are stue some uson an transport phenomena n PEMFC In [5] s stue the transport n the catalze layer; n [7] s stue the b-phasc low n comple porous mea; n [] are estmate the eectve usvty coecents The homogenzaton metho s use n [8] to obtan a reuce moel o GDL A trphazc moel s stue n [] All these papers are relate to our approach Some qualtatve an numercal aspects relate to the transer processes PEM are stue n [6]-[7] an [8]-[] In ths paper we conser a quas-one mensonal moel or the GDL The length s much longer compare wth the thckness In [3] at the ens are use perocty contons; then n act our meum can be consere o nnte length n the splacement recton On ths wa we can use the Hele-Shaw moel I splacng lu (gas) s less vscous the nterace wth the splace lu (water) s unstable Between the two lus we conser a Transton Zone (TZ) where the vscosty s an ncreasng uncton We have two nteraces wth two suraces tensons; here we have small jumps o the vscostes In TZ we allow a uson process A basc steay soluton wth straght ntal nteraces s consere We stuy the lnear stablty o ths basc soluton We obtan a qualtatve result concernng the mprovement o the stablty an an upper estmate o the growth constant A large enough uson coecent η gves us an mprove stablty We thanks to proessor G Pascha rom the Insttute o Mathematcs Smon Stolow or useul uscutons concernng the uson moel n the Gas Duson Layer
2 A Capatna H Ene D Polşevsch R Stavre THE HELE-SHAW MODEL In [6] s consere the low o a Stokes lu between two parallel plates at a small stance δ n the plane Oy; Oz s orthogonal on the plane In the ollowng (uvw) p are the velocty an the pressure In our case w = then p s not epenng on z The y ervatves o the velocty are neglecte compare wth the z ervatve Thereore we get the system u z p = v p = z where s the vscosty A no-slp conton s mpose at z= z= δ then δ p δ p u = v = δ u = δ u( z) z v = δ v( z) z The above equaton s obtane by usng Taylor epanson o secon orer or u v The relaton (A) s qute smlar wth the Darcy law whch governs the low n a porous two-mensonal meum wth the permeablty δ / The ltraton velocty s gven by u an v We emphasze that only the permeablty an velocty are ctve whle the vscosty n (A) s the same as n the Darcy law We conclue that n thn plane regons (n our case the oman between two plates) the low o a vscous lu s governe wth a goo appromaton by the Darcy law n a ctve porous meum The uel cells are compose by some thn plane regons where the low an transer processes are perorme The above conseratons allow us to appromate the low n these regons by the Darcy law n the rame o the Hele-Shaw moel δ (A) 3 THE MATHEMATIC MODEL OF DIFFUSION IN GDL In the e plane Oy we conser the low o three lus n a homogeneous porous meum usng the Hele-Shaw moel The meum s saturate wth ollowng three lus: oygen-vapors a mture orme by oygen-vapors an water an the thr part lle wth water We have three vscostes: oygen vapors wth constant vscosty the mture wth varable vscosty an water wth constant vscosty All regons are movng by oygen velocty U ar upstream We have also two nteraces enote by Γ ( ) The low s governe by the Darcy law the contnuty equaton or veloctes an a conservaton law or the vscostes n the mture (here the vscostes replace the concentratons as we mentone above) Let (u v) an p be the velocty an the pressure The temperature s consere constant an we stuy only the hyroynamcal aspects The case o a varable temperature was consere n a prevous stu relate to the same Grant We neglect the asorpton an sperson phenomena Thereore the low s governe by the ollowng equatons: u v p p = = - u = v Γ ( ) Γ ( ); () u v = η ( Γ ( )) = ( Γ ( )) = < ; = < Γ ( ); = > Γ ( ) ( Γ ( ) Γ ( )) (3) (4) On Γ ( ) we use the Laplace law: the pressure jump s balance by the surace tenson multple wth the nterace's curvature The normal component o the velocty on the nteraces Γ ( ) s contnuous Far rom Γ ( ) we have the conton ()
3 3 Flu ynamcs n PEM uel cells u = U v = << Γ ( ) or >> Γ ( ) (5) The ollowng basc soluton (6)--() ests or the problem ()--(5): P P u = U v = = U = v Γ ( ) Γ ( ) (6) ( ) : = Ut l Γ ( ) : = = η ( Γ ( ) Γ ( a( U b ( Γ ( ) Γ ( )) Γ ( ) = Γ ( ) = Γ Ut (7) U )); (8) = (9) (9) The vscosty n the mture s a lnear uncton n terms o ( -U We have two straght materal nteraces then the ollowng conton hols: P s contnous on Γ ( ) () Our task s to stuy the lnear stablty o the basc soluton (6)--() 4 THE STABILITY SYSTEM We conser the perturbatons u' v' p' ' o the basc veloct pressure an vscosty an get the system ( U u') v' = Γ ( ) Γ ( ); ( P p') ( P p') = ( ')( U u') = ( ') v' Γ ( ) Γ ( ) ; ( ') ( ') ( ') ( U u') = η ( Γ ( ) Γ ( )) wth the ollowng bounary contons a) the Laplace's law on Γ ( ); b) u' v' = ar rom Γ ( ); c) ' = on Γ ( ) () We use the moble coornate system ( τ ) : = Ut τ = t thereore or the arbtrary uncton F( y) we get the relaton F F U F = τ However n the ollowng τ s also enote by t In the moble system the perturbatons are governe by the problem u' v' = { - l} () p' = u' ' U { -l} (3) p' = v' { -l} (4) { ' / ' / } ( l) '/ u' / = η (5)
4 A Capatna H Ene D Polşevsch R Stavre 4 = a b ( l) = () = < ( ) (5) l = < l = > l η a b (5) (5v) The parameters o the problem are The basc vscosty s epenng on a b an s Γ contnuous on where the surace tenson s zero Here epens only on but the perturbaton ' s uncton o ( The proo s as ollowng The problem ()--(5) s lnear The rst step s to conser the perturbaton o basc velocty u' ( = ( )ep( α y (6) where α s the wave number n recton orthogonal on the splacng recton O; s the growth constant (n tme) o the perturbatons From ()--(4) we get v' = ep( αy p' = ep( y α α α Cross erentatng the pressure we obtan [ u' ' U ] = [ v' ]; ' = α ep( αy y U α α The above relatons gve us '( = h( )ep( αy ; h( ) = { ( ) } α (7) α U thereore the secon orer partal ervatves o ' are gven by: = h( ) ' ' ep( αy ; = α h( )ep( αy We use (5) an get the ollowng stablty system where (-l ): ( ) α = α Uh; (8) η h ( ηα ) h = α (9) In the ollowng we erve the bounary contons or (8)--(9) The perturbe nteraces are escrbe by the relatons () = g( gt = u' g( = ep( αy ; ( l) = l g( l gt = u' g( l = ep( αy thereore the lmt values o the pressure on the nterace = can be appromate by: P p ( g P( g p'( P( ( g( p'( () p ( ) P() () U ep( αy () () ep( y α α () p ( ) P() () U ep( αy () () ep( y α α Smlar relatons are obtane or lmt values o the pressure on =-l We use the above relatons to obtan the bounary contons or stablty system (8)--(9) as ollows:
5 5 Flu ynamcs n PEM uel cells a) Bounary contons or The vscosty s contnuous on =-l an the surace tenson s zero On = we have the vscosty jump [ () ] an the surace tenson T On =-l = we conser the rst appromaton o Laplace's law p ( ) p () Tg ( ; () p ( l) p ( l) () We erentate the pressure an get the equaton o out o the mture: α = The perturbatons must be zero ar rom the nteraces (that means u'=) thereore the above equaton gves us the epresson o out o the mture: α ( l) ( ) = e ( l) < l; α ( ) = e () > () From here we obtan the ollowng lmt values o : ( l) = α ( l) () = α () We use the above relatons an rom ()--() we get ( l) = α ( l); () 4 ( ) = ( Uα ( ()) α T ) α () = ( eλ q) (); () (3) e = { Uα ( ()) α T} ; λ = ; () (4) α q = () (5) Here ( l) ( l) are the 'rght' lmts n =-l an () () are the 'let' lmts n = b) Bounary contons or h We use (c) an get: h() = h( l) = (6) yy 5 THE APPROXIMATION PROCEDURE We have to estmate the growth constant appearng n (8)--(9) wth bounary contons ()--(6) The system (8)--(9) can be reuce to a sngle ourth orer equaton or the egenuncton But as we can see above we have only two bounary contons or In ths stuaton t s more useul to use two equatons o secon orer both wth two bounary contons but couple In ollowng sectons we obtan an upper estmate or by usng ths proceure In ths secton we erve an appromate orm o our stablty system Conser ( M ) ponts n the segment [-l ]: M = l < M < M < < < = wth the constant scretzaton step = For the lateral ervatves appearng n ()-(3) we use the appromatons q ( ) / = ( eλ q) ; = λ ; (7) e e e ( M M ) / = α M ; M = M ; (8) α wth 4 Uα ( ()) α T α e = q = (9) () ()
6 A Capatna H Ene D Polşevsch R Stavre 6 The values M ; h h hm (the values o unctons n the consere nteror ponts) are unknown an we use the ollowng appromatons h( y / ) h( y / ) h( y ) h( y) h( y ) h( y) = ; h( y) = Two kns o nces wll be use: j k = ( M ); m = ( M ) then (7)--(9) gve us the scretze orm o our problem: A A k A = λ ; (3) k = α Uh ; (3) { B ( α η) } h = a η m m (3) where A an B are two tragonal matrces gven by the ollowng epressons: q A = A = A = > e e e (33) / / / A = A = A = α M (34) n / AM M = n / n / n / AM M = α n α (35) B = B = B = M (36) We get only one equaton or by usng (3)-(3): a h = ηb α η α η m m a Ak k = α Uh = ( α U ) ηb mhm α η α η From (3) we obtan Amk k = α Uhm We replace hm wth the epresson n the last term o the rght han se o the above ormula The nal orm o our scretze system s (recall m M an k M ): A A = λ; (37) Ak k = ( aα U ) ηb m Amk k (38) α η α η The above system contans only the egenuncton Then the use appromaton s useul or avong a ourth orer erental equaton or whch appears n the eact orm There are (M-) equatons an M unknowns The prouct BA s appearng thereore the soluton s not obvous The k culty s gven by the matr A appearng n (38) Ths matr s not quaratc thereore not nvertble The growth constant an the egenvalues λ are comple numbers We use the notaton = λ = λ λ; λ R; λ = h
7 7 Flu ynamcs n PEM uel cells In the ollowng we gve an upper estmate o the real part o the growth constant enote by Conser the relaton (38) n the equvalent orm M A k k = ( aα U ) η Bm k = M m= M ( α η) A ; = M (39) We use the ollowng notaton then (39) becomes M k = k = mk k y = A (4) k k M m= ( α η) y = aα U η B y (4) Let VM = ma{ y = M } Then we have the ollowng possble relatons or or VM α η ηb aα U y m VM = y η B (4) < < s s M α η ηb ( ) ss aα U η Bs s Bs (43) y = ys s s VM m n n = M α η ηbn n aα U η Bn (44) y = yn n n Here α B η are real then we have the nequalty α η ηb j j α η ηb j j In the above equatons (4)--(44) we use the obvous relatons B B = / / ; B B B = / / / = ss s s s s B M M M M B = / / The last relaton an the estmates (4)--(44) gve us the nal upper boun or : s α η aα U ys = ma{ y M } (45) ys where y are gven by the enton (4) Remark The proceure use n ths secton s qute smlar wth the Gerschgorn's localzaton result or the egenvalues o the matr equaton A = λ However n our case the new term y s appearng Remark The estmate (45) allows us the ollowng concluson: a large enough uson coecent can mprove the low stablty Ths means that the growth constant becomes negatve or large uson coecent η REFERENCES BAKER D R BERNING T FELL S GU W WIESER C On the Eectve Dusvty n PEFC Duson Mea Proc o Moelng an Smulaton o PEM Fuel Cells Freburg Unverst German pp BERG P NOVRUZI A VOLKOV O Trple-phase Bounary n PEM Fuel Cell Catalyst layers Proc o Moelng an Smulaton o PEM Fuel Cells Freburg Unverst German pp 5-3 6
8 A Capatna H Ene D Polşevsch R Stavre 8 3 BERG P PROMISLOW K STOKIE J WETTON B Mathematcal Moelng o Water Management n PEM Fuel Cells Techncal Proceengs o the Nanotechnology Conerence an Trae Show Manchester Unversty UK pp5-3 4 BERG P PROMISLOW K Moelng Water Uptake o Proton Echange Membranes Techncal Proceengs o the Nanotechnology Conerence an Trae Show Manchesterr Unverst UK pp BERNING T LU D DJIALI N Three mensonal computatonal analyss o transport phenomena n PEM uel cell Proc Seventh Grave Symposum pp 5-6 CARCADEA E ENE H INGHAM D LAZAR R POURKASHANIAN M STEFANESCU I Numercal smulaton o mass an charge transer or PEM uel cell IntComm Heat an Mass Transer 3 pp CARCADEA E ENE H INGHAM D LAZAR R POURKASHANIAN M STEFANESCU I A computatonal lu ynamcs analyss o a PEM uel cell system or power generaton Int J Numer Math Heat an Flu Flow 7 pp CARCADEA E STEFANESCU I ENE H INGHAM D LAZAR R Computatonal Moel o A PEM Fuel Cell wth Serpentne Gas Flow Channels Progress o Cryogencs an Isotopes Separaton nr 7-8 pp CARCADEA E STEFANESCU I ENE H INGHAM D LAZAR R A 3D transport phenomena analyss or PEM uel cells Proceengs Romanan Fluent Users Meetng Snaa Romana E Prntech pp CARCADEA E STEFANESCU I ENE H INGHAM D LAZAR R A revew o water an heat management or PEM uel cells Conerence on Moelng Flu Flow (CMFF-6) The 3 th Internatonal Conerence on Flu Flow Technologes Buapest Hungar pp CARCADEA E ENE H INGHAM D LAZAR MA L POURKASHANIAN M STEFANESCU I A computatonal lu ynamcs analyss o a PEM uel cell system or power generaton Proceengs Conerence Fluent Users Nothngham Englan pp CARCADEA E ENE H INGHAM D LAZAR R MA L POURKASHANIAN M STEFANESCU I A computatonal lu ynamcs analyss o a PEM uel cell system or power generaton n Progress n Computatonal Heat an Transer Conerence Pars France pp R CRISTOPHER 3 Mathematcal Moelng or a PEM Fuel Cell Scentc Report New Jersey Inttute o Technolog USA 3 4 GENUCHTEN MT A close orm equaton or prectng the hyraulc conuctvty o unsaturate sols Sol Sc Soc o Amer 46 pp GURAU V ZAWODINSKI T MANN J Two-phase transport n PEM uel cells cathoes Proc o Moelng an Smulaton o PEM Fuel Cells Unversty o Freburg German pp LAMB Sr H Hyroynamcs Cambrge Unversty Press UK 93 7 HASSANIZADEH S Two-phase Flow n Comple Porous Mea Proc o Moelng an Smulaton o PEM Fuel Cells Unversty o Freburg German pp MIHAILOVICI M SCHWEIZER B Reuce moels or the cathoe catalyst layer n PEM uel cells Proc o Moelng an Smulaton o PEM Fuel Cells Unversty o Freburg German pp SAFFMAN P TAYLOR Sr G I The penetraton o a lu n a porous meum or Helle-Shaw cell contanng a more vscous lu Proc Roy Soc A 45 pp Receve October 8
Chapter 3 Differentiation and Integration
MEE07 Computer Modelng Technques n Engneerng Chapter Derentaton and Integraton Reerence: An Introducton to Numercal Computatons, nd edton, S. yakowtz and F. zdarovsky, Mawell/Macmllan, 990. Derentaton
More informationOPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming
OPTIMIATION Introducton ngle Varable Unconstraned Optmsaton Multvarable Unconstraned Optmsaton Lnear Programmng Chapter Optmsaton /. Introducton In an engneerng analss, sometmes etremtes, ether mnmum or
More informationNumerical Differentiation
Part 5 Capter 19 Numercal Derentaton PowerPonts organzed by Dr. Mcael R. Gustason II, Duke Unversty Revsed by Pro. Jang, CAU All mages copyrgt Te McGraw-Hll Companes, Inc. Permsson requred or reproducton
More informationFinite Difference Method
7/0/07 Instructor r. Ramond Rump (9) 747 698 rcrump@utep.edu EE 337 Computatonal Electromagnetcs (CEM) Lecture #0 Fnte erence Method Lecture 0 These notes ma contan coprghted materal obtaned under ar use
More information36.1 Why is it important to be able to find roots to systems of equations? Up to this point, we have discussed how to find the solution to
ChE Lecture Notes - D. Keer, 5/9/98 Lecture 6,7,8 - Rootndng n systems o equatons (A) Theory (B) Problems (C) MATLAB Applcatons Tet: Supplementary notes rom Instructor 6. Why s t mportant to be able to
More informationT-Forward Method: A Closed-Form Solution and Polynomial Time Approach for Convex Nonlinear Programming
Algorthms Research 4, 3: -5 DOI:.593/j.algorthms.43. T-Forwar etho: A Close-Form Soluton an Polynomal Tme Approach or Conve onlnear Programmng Gang Lu Technology Research Department, acroronter, Elmhurst,
More informationKinematics of Fluid Motion
Knematcs of Flu Moton R. Shankar Subramanan Department of Chemcal an Bomolecular Engneerng Clarkson Unversty Knematcs s the stuy of moton wthout ealng wth the forces that affect moton. The scusson here
More informationLecture 2 Solution of Nonlinear Equations ( Root Finding Problems )
Lecture Soluton o Nonlnear Equatons Root Fndng Problems Dentons Classcaton o Methods Analytcal Solutons Graphcal Methods Numercal Methods Bracketng Methods Open Methods Convergence Notatons Root Fndng
More informationChapter 7: Conservation of Energy
Lecture 7: Conservaton o nergy Chapter 7: Conservaton o nergy Introucton I the quantty o a subject oes not change wth tme, t means that the quantty s conserve. The quantty o that subject remans constant
More informationOptimization. Nuno Vasconcelos ECE Department, UCSD
Optmzaton Nuno Vasconcelos ECE Department, UCSD Optmzaton many engneerng problems bol on to optmzaton goal: n mamum or mnmum o a uncton Denton: gven unctons, g,,...,k an h,,...m ene on some oman Ω R n
More informationSummary with Examples for Root finding Methods -Bisection -Newton Raphson -Secant
Summary wth Eamples or Root ndng Methods -Bsecton -Newton Raphson -Secant Nonlnear Equaton Solvers Bracketng Graphcal Open Methods Bsecton False Poston (Regula-Fals) Newton Raphson Secant All Iteratve
More informationField and Wave Electromagnetic. Chapter.4
Fel an Wave Electromagnetc Chapter.4 Soluton of electrostatc Problems Posson s s an Laplace s Equatons D = ρ E = E = V D = ε E : Two funamental equatons for electrostatc problem Where, V s scalar electrc
More informationENGI9496 Lecture Notes Multiport Models in Mechanics
ENGI9496 Moellng an Smulaton of Dynamc Systems Mechancs an Mechansms ENGI9496 Lecture Notes Multport Moels n Mechancs (New text Secton 4..3; Secton 9.1 generalzes to 3D moton) Defntons Generalze coornates
More informationMATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018
MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng
More informationA Note on the Numerical Solution for Fredholm Integral Equation of the Second Kind with Cauchy kernel
Journal of Mathematcs an Statstcs 7 (): 68-7, ISS 49-3644 Scence Publcatons ote on the umercal Soluton for Freholm Integral Equaton of the Secon Kn wth Cauchy kernel M. bulkaw,.m.. k Long an Z.K. Eshkuvatov
More informationORDINARY DIFFERENTIAL EQUATIONS EULER S METHOD
Numercal Analss or Engneers German Jordanan Unverst ORDINARY DIFFERENTIAL EQUATIONS We wll eplore several metods o solvng rst order ordnar derental equatons (ODEs and we wll sow ow tese metods can be appled
More informationCHAPTER 4d. ROOTS OF EQUATIONS
CHAPTER 4d. ROOTS OF EQUATIONS A. J. Clark School o Engneerng Department o Cvl and Envronmental Engneerng by Dr. Ibrahm A. Assakka Sprng 00 ENCE 03 - Computaton Methods n Cvl Engneerng II Department o
More informationShuai Dong. Isaac Newton. Gottfried Leibniz
Computatonal pyscs Sua Dong Isaac Newton Gottred Lebnz Numercal calculus poston dervatve ntegral v velocty dervatve ntegral a acceleraton Numercal calculus Numercal derentaton Numercal ntegraton Roots
More informationPowder Technology 203 (2010) Contents lists available at ScienceDirect. Powder Technology. journal homepage:
Power Technology 203 (2010) 57 69 Contents lsts avalable at ScenceDrect Power Technology ournal homepage: www.elsever.com/locate/powtec Drect numercal smulaton o gas sol suspensons at moerate Reynols number:
More informationEE 330 Lecture 24. Small Signal Analysis Small Signal Analysis of BJT Amplifier
EE 0 Lecture 4 Small Sgnal Analss Small Sgnal Analss o BJT Ampler Eam Frda March 9 Eam Frda Aprl Revew Sesson or Eam : 6:00 p.m. on Thursda March 8 n Room Sweene 6 Revew rom Last Lecture Comparson o Gans
More informationSingle Variable Optimization
8/4/07 Course Instructor Dr. Raymond C. Rump Oce: A 337 Phone: (95) 747 6958 E Mal: rcrump@utep.edu Topc 8b Sngle Varable Optmzaton EE 4386/530 Computatonal Methods n EE Outlne Mathematcal Prelmnares Sngle
More informationHigh-Order Hamilton s Principle and the Hamilton s Principle of High-Order Lagrangian Function
Commun. Theor. Phys. Bejng, Chna 49 008 pp. 97 30 c Chnese Physcal Socety Vol. 49, No., February 15, 008 Hgh-Orer Hamlton s Prncple an the Hamlton s Prncple of Hgh-Orer Lagrangan Functon ZHAO Hong-Xa an
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 information: Numerical Analysis Topic 2: Solution of Nonlinear Equations Lectures 5-11:
764: Numercal Analyss Topc : Soluton o Nonlnear Equatons Lectures 5-: UIN Malang Read Chapters 5 and 6 o the tetbook 764_Topc Lecture 5 Soluton o Nonlnear Equatons Root Fndng Problems Dentons Classcaton
More informationVisualization of 2D Data By Rational Quadratic Functions
7659 Englan UK Journal of Informaton an Computng cence Vol. No. 007 pp. 7-6 Vsualzaton of D Data By Ratonal Quaratc Functons Malk Zawwar Hussan + Nausheen Ayub Msbah Irsha Department of Mathematcs Unversty
More informationMechanics Physics 151
Mechancs Physcs 5 Lecture 3 Contnuous Systems an Fels (Chapter 3) Where Are We Now? We ve fnshe all the essentals Fnal wll cover Lectures through Last two lectures: Classcal Fel Theory Start wth wave equatons
More informationWHY NOT USE THE ENTROPY METHOD FOR WEIGHT ESTIMATION?
ISAHP 001, Berne, Swtzerlan, August -4, 001 WHY NOT USE THE ENTROPY METHOD FOR WEIGHT ESTIMATION? Masaak SHINOHARA, Chkako MIYAKE an Kekch Ohsawa Department of Mathematcal Informaton Engneerng College
More informationWYSE Academic Challenge 2004 State Finals Physics Solution Set
WYSE Acaemc Challenge 00 State nals Physcs Soluton Set. Answer: c. Ths s the enton o the quantty acceleraton.. Answer: b. Pressure s orce per area. J/m N m/m N/m, unts o orce per area.. Answer: e. Aerage
More informationSummary. Introduction
Sesmc reflecton stuy n flu-saturate reservor usng asymptotc Bot s theory Yangun (Kevn) Lu* an Gennay Goloshubn Unversty of Houston Dmtry Sln Lawrence Bereley Natonal Laboratory Summary It s well nown that
More informationA GENERALIZATION OF JUNG S THEOREM. M. Henk
A GENERALIZATION OF JUNG S THEOREM M. Henk Abstract. The theorem of Jung establshes a relaton between crcumraus an ameter of a convex boy. The half of the ameter can be nterprete as the maxmum of crcumra
More informationCISE301: Numerical Methods Topic 2: Solution of Nonlinear Equations
CISE3: Numercal Methods Topc : Soluton o Nonlnear Equatons Dr. Amar Khoukh Term Read Chapters 5 and 6 o the tetbook CISE3_Topc c Khoukh_ Lecture 5 Soluton o Nonlnear Equatons Root ndng Problems Dentons
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 informationChapter 2 Transformations and Expectations. , and define f
Revew for the prevous lecture Defnton: support set of a ranom varable, the monotone functon; Theorem: How to obtan a cf, pf (or pmf) of functons of a ranom varable; Eamples: several eamples Chapter Transformatons
More informationExplicit bounds for the return probability of simple random walk
Explct bouns for the return probablty of smple ranom walk The runnng hea shoul be the same as the ttle.) Karen Ball Jacob Sterbenz Contact nformaton: Karen Ball IMA Unversty of Mnnesota 4 Ln Hall, 7 Church
More informationPHZ 6607 Lecture Notes
NOTE PHZ 6607 Lecture Notes 1. Lecture 2 1.1. Defntons Books: ( Tensor Analyss on Manfols ( The mathematcal theory of black holes ( Carroll (v Schutz Vector: ( In an N-Dmensonal space, a vector s efne
More informationA MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON
A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON PIOTR NAYAR AND TOMASZ TKOCZ Abstract We prove a menson-free tal comparson between the Euclean norms of sums of nepenent ranom vectors
More informationMHD Kelvin-Helmholtz instability in non-hydrostatic equilibrium
Journal of Physcs: Conference Seres MHD Kelvn-Helmholt nstablty n non-hyrostatc equlbrum To cte ths artcle: Y Laghouat et al 7 J. Phys.: Conf. Ser. 64 Ve the artcle onlne for upates an enhancements. Ths
More informationNumerical modeling of a non-linear viscous flow in order to determine how parameters in constitutive relations influence the entropy production
Technsche Unverstät Berln Fakultät für Verkehrs- un Maschnensysteme, Insttut für Mechank Lehrstuhl für Kontnuumsmechank un Materaltheore, Prof. W.H. Müller Numercal moelng of a non-lnear vscous flow n
More informationTEST 5 (phy 240) 2. Show that the volume coefficient of thermal expansion for an ideal gas at constant pressure is temperature dependent and given by
ES 5 (phy 40). a) Wrte the zeroth law o thermodynamcs. b) What s thermal conductvty? c) Identyng all es, draw schematcally a P dagram o the arnot cycle. d) What s the ecency o an engne and what s the coecent
More informationNON-PARABOLIC INTERFACE MOTION FOR THE 1-D STEFAN PROBLEM Dirichlet Boundary Conditions
Hernandez, E. M., et al.: Non-Parabolc Interace Moton or the -D Stean Problem... THERMAL SCIENCE: Year 07, Vol., No. 6A, pp. 37-336 37 NON-PARABOLIC INTERFACE MOTION FOR THE -D STEFAN PROBLEM Drchlet Boundary
More informationEntropy Production in Nonequilibrium Systems Described by a Fokker-Planck Equation
Brazlan Journal of Physcs, vol. 36, no. 4A, December, 2006 1285 Entropy Proucton n Nonequlbrum Systems Descrbe by a Fokker-Planck Equaton Tâna Tomé Insttuto e Físca Unversae e São Paulo Caxa postal 66318
More informationWork is the change in energy of a system (neglecting heat transfer). To examine what could
Work Work s the change n energy o a system (neglectng heat transer). To eamne what could cause work, let s look at the dmensons o energy: L ML E M L F L so T T dmensonally energy s equal to a orce tmes
More information, rst we solve te PDE's L ad L ad n g g (x) = ; = ; ; ; n () (x) = () Ten, we nd te uncton (x), te lnearzng eedbac and coordnates transormaton are gve
Freedom n Coordnates Transormaton or Exact Lnearzaton and ts Applcaton to Transent Beavor Improvement Kenj Fujmoto and Tosaru Suge Dvson o Appled Systems Scence, Kyoto Unversty, Uj, Kyoto, Japan suge@robotuassyoto-uacjp
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationA new Approach for Solving Linear Ordinary Differential Equations
, ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of
More informationONE-DIMENSIONAL COLLISIONS
Purpose Theory ONE-DIMENSIONAL COLLISIONS a. To very the law o conservaton o lnear momentum n one-dmensonal collsons. b. To study conservaton o energy and lnear momentum n both elastc and nelastc onedmensonal
More informationA MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON
A MULTIDIMENSIONAL ANALOGUE OF THE RADEMACHER-GAUSSIAN TAIL COMPARISON PIOTR NAYAR AND TOMASZ TKOCZ Abstract We prove a menson-free tal comparson between the Euclean norms of sums of nepenent ranom vectors
More informationJournal of Universal Computer Science, vol. 1, no. 7 (1995), submitted: 15/12/94, accepted: 26/6/95, appeared: 28/7/95 Springer Pub. Co.
Journal of Unversal Computer Scence, vol. 1, no. 7 (1995), 469-483 submtted: 15/12/94, accepted: 26/6/95, appeared: 28/7/95 Sprnger Pub. Co. Round-o error propagaton n the soluton of the heat equaton by
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 informationSpring Force and Power
Lecture 13 Chapter 9 Sprng Force and Power Yeah, energy s better than orces. What s net? Course webste: http://aculty.uml.edu/andry_danylov/teachng/physcsi IN THIS CHAPTER, you wll learn how to solve problems
More informationPolynomial Regression Models
LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance
More informationUniversity of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014
Lecture 12 7/25/14 ERD: 7.1-7.5 Devoe: 8.1.1-8.1.2, 8.2.1-8.2.3, 8.4.1-8.4.3 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 2014 A. Free Energy and Changes n Composton: The
More informationNew Liu Estimators for the Poisson Regression Model: Method and Application
New Lu Estmators for the Posson Regresson Moel: Metho an Applcaton By Krstofer Månsson B. M. Golam Kbra, Pär Sölaner an Ghaz Shukur,3 Department of Economcs, Fnance an Statstcs, Jönköpng Unversty Jönköpng,
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationAnalytical classical dynamics
Analytcal classcal ynamcs by Youun Hu Insttute of plasma physcs, Chnese Acaemy of Scences Emal: yhu@pp.cas.cn Abstract These notes were ntally wrtten when I rea tzpatrck s book[] an were later revse to
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 informationCasimir effect for quantum graphs
Casmr eect or quantum graphs D.U. Matrasulov, J.R.Yusupov, P.K.Khaullaev, A.A.Saov Heat Physcs Department o the Uzek Acaemy o Scences, 8 Katartal St., 75 Tashkent, Uzekstan Astract The Casmr eects or one-mensonal
More informationGeneral Tips on How to Do Well in Physics Exams. 1. Establish a good habit in keeping track of your steps. For example, when you use the equation
General Tps on How to Do Well n Physcs Exams 1. Establsh a good habt n keepng track o your steps. For example when you use the equaton 1 1 1 + = d d to solve or d o you should rst rewrte t as 1 1 1 = d
More informationPhysics 2A Chapter 3 HW Solutions
Phscs A Chapter 3 HW Solutons Chapter 3 Conceptual Queston: 4, 6, 8, Problems: 5,, 8, 7, 3, 44, 46, 69, 70, 73 Q3.4. Reason: (a) C = A+ B onl A and B are n the same drecton. Sze does not matter. (b) C
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 informationConvexity preserving interpolation by splines of arbitrary degree
Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete
More informationThe Noether theorem. Elisabet Edvardsson. Analytical mechanics - FYGB08 January, 2016
The Noether theorem Elsabet Evarsson Analytcal mechancs - FYGB08 January, 2016 1 1 Introucton The Noether theorem concerns the connecton between a certan kn of symmetres an conservaton laws n physcs. It
More informationBounds for Spectral Radius of Various Matrices Associated With Graphs
45 5 Vol.45, No.5 016 9 AVANCES IN MATHEMATICS (CHINA) Sep., 016 o: 10.11845/sxjz.015015b Bouns for Spectral Raus of Varous Matrces Assocate Wth Graphs CUI Shuyu 1, TIAN Guxan, (1. Xngzh College, Zhejang
More informationOn a one-parameter family of Riordan arrays and the weight distribution of MDS codes
On a one-parameter famly of Roran arrays an the weght strbuton of MDS coes Paul Barry School of Scence Waterfor Insttute of Technology Irelan pbarry@wte Patrck Ftzpatrck Department of Mathematcs Unversty
More informationComplex Variables. Chapter 18 Integration in the Complex Plane. March 12, 2013 Lecturer: Shih-Yuan Chen
omplex Varables hapter 8 Integraton n the omplex Plane March, Lecturer: Shh-Yuan hen Except where otherwse noted, content s lcensed under a BY-N-SA. TW Lcense. ontents ontour ntegrals auchy-goursat theorem
More informationThe lower and upper bounds on Perron root of nonnegative irreducible matrices
Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College
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 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 informationCENTRAL LIMIT THEORY FOR THE NUMBER OF SEEDS IN A GROWTH MODEL IN d WITH INHOMOGENEOUS POISSON ARRIVALS
The Annals of Apple Probablty 1997, Vol. 7, No. 3, 82 814 CENTRAL LIMIT THEORY FOR THE NUMBER OF SEEDS IN A GROWTH MODEL IN WITH INHOMOGENEOUS POISSON ARRIVALS By S. N. Chu 1 an M. P. Qune Hong Kong Baptst
More informationRestricted divisor sums
ACTA ARITHMETICA 02 2002) Restrcted dvsor sums by Kevn A Broughan Hamlton) Introducton There s a body of work n the lterature on varous restrcted sums of the number of dvsors of an nteger functon ncludng
More informationApplication of particle method to the casting process simulation
IOP Conference Seres: Materals Scence an Engneerng Applcaton of partcle metho to the castng process smulaton To cte ths artcle: N Hrata et al 1 IOP Conf. Ser.: Mater. Sc. Eng. 33 1114 Vew the artcle onlne
More informationThe Study of Teaching-learning-based Optimization Algorithm
Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute
More information1 Introduction We consider a class of singularly perturbed two point singular boundary value problems of the form: k x with boundary conditions
Lakshm Sreesha Ch. Non Standard Fnte Dfference Method for Sngularly Perturbed Sngular wo Pont Boundary Value Problem usng Non Polynomal Splne LAKSHMI SIREESHA CH Department of Mathematcs Unversty College
More informationVARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES
VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES BÂRZĂ, Slvu Faculty of Mathematcs-Informatcs Spru Haret Unversty barza_slvu@yahoo.com Abstract Ths paper wants to contnue
More informationCFD studies of heterocatalytic systems
CFD stues of heterocatalytc systems György Rá 1, Tamás Varga, Tbor Chován Unversty of Pannona, Department of Process Engneerng, H-800 Veszprém Egyetem u. 10., Hungary tel. +36-88-6-4447, e-mal: fjrgy@gmal.com;
More informationUniversity of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2013
Lecture 8/8/3 Unversty o Washngton Departent o Chestry Chestry 45/456 Suer Quarter 3 A. The Gbbs-Duhe Equaton Fro Lecture 7 and ro the dscusson n sectons A and B o ths lecture, t s clear that the actvty
More informationarxiv: v1 [math.co] 12 Sep 2014
arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March
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 informationPHYSICS 203-NYA-05 MECHANICS
PHYSICS 03-NYA-05 MECHANICS PROF. S.D. MANOLI PHYSICS & CHEMISTRY CHAMPLAIN - ST. LAWRENCE 790 NÉRÉE-TREMBLAY QUÉBEC, QC GV 4K TELEPHONE: 48.656.69 EXT. 449 EMAIL: smanol@slc.qc.ca WEBPAGE: http:/web.slc.qc.ca/smanol/
More informationA Tale of Friction Basic Rollercoaster Physics. Fahrenheit Rollercoaster, Hershey, PA max height = 121 ft max speed = 58 mph
A Tale o Frcton Basc Rollercoaster Physcs Fahrenhet Rollercoaster, Hershey, PA max heght = 11 t max speed = 58 mph PLAY PLAY PLAY PLAY Rotatonal Movement Knematcs Smlar to how lnear velocty s dened, angular
More informationChapter 5 Function-based Monte Carlo
Chapter 5 Functon-based Monte Carlo 5.1 Four technques or estmatng ntegrals Our net set o mathematcal tools that we wll develop nvolve Monte Carlo ntegraton. In the grand scheme o thngs, our study so ar
More informationMA209 Variational Principles
MA209 Varatonal Prncples June 3, 203 The course covers the bascs of the calculus of varatons, an erves the Euler-Lagrange equatons for mnmsng functonals of the type Iy) = fx, y, y )x. It then gves examples
More informationMOLECULAR TOPOLOGICAL INDEX OF C 4 C 8 (R) AND C 4 C 8 (S) NANOTORUS
Dgest Journal of Nanomaterals an Bostructures ol No December 9 69-698 MOLECULAR TOPOLOICAL INDEX OF C C 8 R AND C C 8 S NANOTORUS ABBAS HEYDARI Deartment of Mathematcs Islamc Aza Unverst of Ara Ara 85-567
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 informationPHYS 705: Classical Mechanics. Newtonian Mechanics
1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]
More informationDepartment of Economics, Niigata Sangyo University, Niigata, Japan
Appled Matheatcs, 0, 5, 777-78 Publshed Onlne March 0 n ScRes. http://www.scrp.org/journal/a http://d.do.org/0.6/a.0.507 On Relatons between the General Recurrence Forula o the Etenson o Murase-Newton
More informationAdiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram
Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton
More informationPhysics 2A Chapters 6 - Work & Energy Fall 2017
Physcs A Chapters 6 - Work & Energy Fall 017 These notes are eght pages. A quck summary: The work-energy theorem s a combnaton o Chap and Chap 4 equatons. Work s dened as the product o the orce actng on
More informationOn Blow-Out of Jet Spray Diffusion Flames
5 th ICDERS August 7, 015 Lees, UK n Blow-ut of Jet Spray Dffuson Flames N. Wenberg an J.B. Greenberg Faculty of Aerospace Engneerng, Technon Israel Insttute of Technology Hafa, Israel 1 Introucton The
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 informationEndogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract
Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous
More informationECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals
ECEN 5005 Crystals, Nanocrystals and Devce Applcatons Class 9 Group Theory For Crystals Dee Dagram Radatve Transton Probablty Wgner-Ecart Theorem Selecton Rule Dee Dagram Expermentally determned energy
More informationAnalysis of Linear Interpolation of Fuzzy Sets with Entropy-based Distances
cta Polytechnca Hungarca Vol No 3 3 nalyss of Lnear Interpolaton of Fuzzy Sets wth Entropy-base Dstances László Kovács an Joel Ratsaby Department of Informaton Technology Unversty of Mskolc 355 Mskolc-
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 informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationInvestigation of a New Monte Carlo Method for the Transitional Gas Flow
Investgaton of a New Monte Carlo Method for the Transtonal Gas Flow X. Luo and Chr. Day Karlsruhe Insttute of Technology(KIT) Insttute for Techncal Physcs 7602 Karlsruhe Germany Abstract. The Drect Smulaton
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
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 informationUniversity of Bahrain College of Science Dept. of Physics PHYCS 102 FINAL EXAM
Unversty o Bahran College o Scence Dept. o Physcs PHYCS 10 FINAL XAM Date: 15/1/001 Tme:Two Hours Name:-------------------------------------------------ID#---------------------- Secton:----------------
More information[7] R.S. Varga, Matrix Iterative Analysis, Prentice-Hall, Englewood Clis, New Jersey, (1962).
[7] R.S. Varga, Matrx Iteratve Analyss, Prentce-Hall, Englewood ls, New Jersey, (962). [8] J. Zhang, Multgrd soluton of the convecton-duson equaton wth large Reynolds number, n Prelmnary Proceedngs of
More information