Operator Splitting Method for Coupled Problems: Transport and Maxwell Equations

Size: px
Start display at page:

Download "Operator Splitting Method for Coupled Problems: Transport and Maxwell Equations"

Transcription

1 America Joural of Compuaioal Mahemaics,,, 6-75 doi:46/acm9 Published Olie Sepember (hp://wwwscirporg/oural/acm) Operaor Spliig Mehod for Coupled Problems: Traspor ad Mawell Equaios Absrac Jürge Geiser Deparme of Mahemaics, Humbold-Uiversiä u Berli, Uer de Lide, Berli, Germa geiser@mahemaikhu-berlide Received March, ; revised April, ; acceped Ma, I his aricle a ew approach is cosidered for implemeig operaor spliig mehods for raspor problems, iflueced b elecric fields Our moivaio came o model PE-CVD (plasma-ehaced chemical vapor deposiio) processes, meas he flow of species o a gas-phase, which are iflueced b a elecric field Such a field we ca model b wave equaios The mai coribuios are o improve he sadard discreiaio schemes of each par of he couplig equaio So we discuss a improveme wih implici Ruge- Kua mehods isead of he Yee s algorihm Furher we balace he solver mehod bewee he Mawell ad Traspor equaio Kewords: Operaor Spliig Mehod, Iiial Value Problems, Ieraive Solver Mehod, Sabili Aalsis, Beam Propagaio Mehods, Traspor ad Mawell Equaios Iroducio We moivae our sud b simulaig hi film deposiio processes ha ca be realied b PE-CVD (plasma ehaced chemical vapor deposiio) processes, see [,] For he deposiio process, he ifluece of he elecric fields o he raspored gases i a plasma reacor is ver impora, see [] Therefore we deal wih a simplified model of a coupled raspor ad Mawell equaios While he raspor equaios modeled he raspor of gaseous species ad he Mawell equaio he ifluece of he uderlig flow field We deal wih he followig equaios u u u u ve, v D u D, () u,, u,, () H, E,,,, T, H, E,,,, T, () (4) E, H H J source,,,,, T where u is he coceraio of he gaseous species, E is he elecric field ad H, H is he correspodig mageic field i wo dimesios Furher v v,v is he iflueced veloci of he raspor equaio We cocerae o he umerical modelig ad simulaio of elecrical fields, which are coupled wih raspor equaios Several mehods eis o solve elecric field ad are of ieres Oe mehod for a saioar case of he elecric field is a propagaio mehod (BPM) This is a powerful ool o aale liear ad oliear ligh propagaio i aiall varig waveguides like direcioal couplers, apered waveguides, S-shaped be waveguides, ad opical fibers [4-7] The mehod has is origi i he field of propagaio of elecromageic beams i amosphere, where he muli-phsics modelig was doe o he assumpio ha he coiuous gai medium ma be approimaed b a series of gai shees wih free propagaio bewee he shees [8,9] As i will be show laer o, his mehod is i fac a Srag-Marchuk operaor spliig mehod [,] Here we firs describe he BPM [] We iroduce he ieraive spliig idea o couple (5) Coprigh SciRes

2 64 J GEISER Mawell ad Traspor equaios Furher a spliig aalsis is preseed Numerical eperimes are preseed wih respec o decoupled ad coupled differeial equaios The paper is orgaied as follows The discreiaio mehods are described i Secio I Secio, he applied operaor spliig mehods are preseed The error aalsis of he coupled mehods is sudied i Secio 4 The eperimes of he ew discreiaio mehods ad spliig mehods are performed i Secio 5 A he ed of his paper we iroduce fuure works Discreiaio Mehod of he Mawell Equaio I he followig we discuss he discreiaio mehods for he Mawell equaio FDTD Mehod: Yee s Scheme Yee s scheme is he sadard fiie differece ime-domai (FDTD) discreiaio of he followig ime depede Mawell curl equaios H r E, (6) E r H, (7) where E E, E, E,, is he elecric field, H H, H, H,, is he mageic field, r, is he relaive permiivi (give daa), r (omageic maerial) is he mageic permeabili Here, are cosas I ca be show ha if he divergece free codiios r E ad H are saisfied a, he he are saisfied for all ime This is he case for our seig Therefore i is eough o cosider ol he above curl equaio Rewriig hem compoe-wise, we ge i our case H E E (8) H E E (9) E H H r () Le, are spaial discreiaios, ad ime sep We use he followig oaio,,, F i F i is a () Le represes a spaial coordiae such as, The goal of Yee s scheme is o compue he approimaios for he various compoes E of E ad H of H a he followig spaial locaios ad emporal isas: spaial coordiae : half ieger E oher spaial coordiae : ieger () ime : ieger spaial coordiae : ieger H oher spaial coordiae : half ieger () ime : half ieger Thus he disribuios/grid of various compoes are saggered i space ad i ime This is oe of he wo uique characerisics of he Yee s scheme The secod uique characerisic is ha he various spaial derivaives i Equaios (8) - () are compued across he oe spaial cell, ie he differece ceer for he ceral differece approimaio of he spaial derivaive is he mid poi of oe cell legh i he correspodig direcio of he derivaive Thus he Yee s scheme approimaes Equaios (8) - () a he followig pois: Equaio (8) i,, (4) Equaio (9) i,, (5) Equaio () i,, (6) Such a saggered ucollocaed arrageme gives he Yee s scheme several ice umerical ad phsical properies, see [] The we ge fiie-differece approimaios as: H i, E, H i, E i, i, H i,,, E H i, E i i, E i, E i, H i, H i, r, H i H i, r (7) (8) (9) Coprigh SciRes

3 J GEISER 65 I Equaio (9) he relaive permiivi r is compued a he correspodig differece ceer as give b Equaio (6) A he ierface bewee wo media, r is approimaed b he average value Codiios for he Yee s algorihm: The CFL sabili codiio for he Yee s FDTD mehod is c () where c is he speed of ligh i vacuum, see [] To resric he ubouded domai o fiie domai, oe uses absorbig boudar codiio like he perfecl mached laers, see [4,5] Remark Ofe for more accurae problems a Yee s algorihm which is secod order i ime ad secod order i space is ofe o low For higher order mehods i ime ad space ca be cosruced bu are ofe o delicae ad epesive o impleme, see [6,7] We propose o improve wih higher order implici Ruge-Kua mehods wih a idea o sparse marices schemes, which saves addiioal memor Improved Time Discreiaio Mehods for Mawell Equaio Based o he problem of recosrucig a higher order Yee s algorihm, we deal wih separae improveme of he discreiaio schemes While he spaial discreiaio of he Yee s algorihm is a secod order differece scheme, he ime discreiaio is also ol a secod order scheme Here we see he deficis of ol improvig he spaial scheme wih higher order schemes ad leave he imediscreiaio wih a secod order scheme We propose a improved ime-discreiaio scheme of higher order ad appl fie spaial grids, while he ime error is a leas larger, see [8] We deal wih higher order ime-discreiaio mehods Therefore we propose he Ruge-Kua as adaped imediscreiaio mehods o reach higher order resuls For he ime-discreiaio we use he followig higher order discreiaio mehods We deal wih he followig semi-discreied parial differeial equaios, such equaios are used i each ieraive spliig sep: u Au f, () u u, () where A is he operaor ha we implici solve i he equaio ad f Bu is he eplici operaor, wih a previous soluio u, eg las ieraive soluio Higher Order Time-Discreiaio Mehods wih Ruge-Kua Mehods We deal wih he followig Mawell equaio, give as: E H H J () I H, H, J BH BH J H E II E CE (4) H E III E CE (5) For he boudar codiios we assume periodic boudar codiios Tha meas we use he ideificaio E N, i E, i (6) E i, N E i, i,, N (7) Remark For he saioar field, we appl a periodic boudar codiio, which is sufficie The Mur absorbig boudar codiio, see [5], is used for he isaioar field, while respecig he ifluece of he chages a he boudaries To ge a firs realiaio of a ope boudar i he case of he lie-source we use smmer ad a combiaio of PBC ad Mur s firs order ABC For he boudars orhogoal o he propagaio direcio of he field (lef-righ) i is useful o work wih Mur s ABC Mur s ABC We ca ierpre he elecromageical field as a wave ha has o fulfill he homogeeous wave equaio r r c c (8) (9) c D D D c D D c D D c D c D D c D () () Coprigh SciRes

4 66 J GEISER D D V D D V c () ( ) c () Waves ha saisf ol propagae i -direcio ad hose ha saisf ol propagae i -direcio A aalogous formulaio ca be give for he ad direcio To hadle i is comforable o do a Talor epasio aroud V V V V 4 V OV V V V 5 4 V O V OV V (4) (5) (6) Cosiderig (6) equaio () urs o, c c (7) which is Mur s ABC wih firs order accurac As a firs aemp o model a ope boudar we will use his Lef boudar ( ) For he lef boudar we have do discreie he followig equaio: (8) c This ca be doe wih a FDM-scheme as follows wih ad,, ; (9),,,,, ;,,,,,,,,, ; (4) (4) his leads o c c,,,, (4) I is eas o see ha his ool does o saisf compleel because i ol has firs order accurac ad eve more impora i ol absorbs he par of he wave ha propagaes orhogoal o he boudar Bu here are also a few advaages Mur s ABC has o be applied ol o he E field because H ad H are deal wih auomaicall hrough he ordiar updaesep The secod advaage of Mur's ABC is he low umeric epese For he boudaries parallel o he propagaio direcio (op ad boom) we use he PBC The s mmer of our seig garaies ha he iflow ad he ouflow of he field equalie each oher Bu wih he ee o he e simulaios wih less smmer i seams o be ecessar o use perfecl mached laers These equaios above mark he sarig poi The spaial par of each equaio is discreised ad is calculaed wih he help of he mari-operaors B, B, C, C (ceered differeces correspodig o he dimesioal Yee-larice) I he followig we are usig he geeral Bucher-able for (-sage) Ruge-Kua-mehods o ge a clear oaio (4) Le deoe he seppig ime ad c i i The se p from o i () - ( 5) ca ow be wrie i he followig wa i i i I I I i i II II II i i III III III k bk bk E E bk b k b k i (44) H H bk b k b k (45) H H b i i i i where M,,, (46) k M H H E J for M I, II, III ad,, Wih i I i i E E E alkl l II a kl (47) i i i H H H l (48 ) l H H H a k i i i III l l l (49) Coprigh SciRes

5 i i J J which is kow (i our ca se) (5) For a beer legibili ad because he focused poi of ime does o chage, we wrie E, H, H, J isead of E, H, H, J i i i i Combiig () - (5) ad (47) - (5) give 9 equaios l l l E E al BH BH J l (5) l H H al CE (5) l l H H al CE,, l Remark ad are also realied as marices, such ha, ad, Remark 4 The scheme above is ol correc for isoropic media because i he o isoropic case i is ecessar o cosider, Takig he 6 equaios of (5) ad (5) ad puig hem ogeher w ih he equaios of (5) lead s o he followig liear equaio ssem which eeds o be solved J GEISER 67 (5) Q E Q E Q E A A A A A A R, C S I R, C S R, C S A A A A A A R, C S R, C S I R, C S A A A A A A R, C S R, C S R, C S I E E E (54) Q E as I as as E Q E as as I as E (55) Q E as as as I E Q E S I E Q E S I E (56) Q E S I E A A Q : R, BH BH R, J (57) R : -h rowof A (58) A A C : -h colum of A (59) :,, (6) J : J, J, J (6) S : BC i i i B C (6) A A a : A R, C (6) a a a a : a a a a a a i ai m imes a i mimes (64) (65) I : Idei m (66) wher e a i, bi ad c are he Ruge-Kua coefficies To be more precisel: If we have m pois i our regio, here are m equaios o solve Wih his resul we are able o calculae (5) ad (5) So ha i is fiall possible o do he sep ((44) - (46)) Remark 5 For a opimiaio of he ime-discreiaio scheme, we ca eglec some of he ouerdiagoals of he RK mehods, which leads o S DIRK mehods We have he beefi i faser compuaios, wihou reducig he accurac For higher ime-discreiaios we have o ake io accou also higher spaial discreiaio scheme Sabili Aalsis of he Implici Discreiaios We deal wih he followig discreied equaio ssems: E I A E C H C H J u J u i, i (67) where i is he ieraio ide of he couplig scheme Defiiio We have a posiive defiie mari M T ( real smmeric mari), if A > for all o-ero vecors wih real eries, where T deoes he raspose of Eample For fiie differece discreiaio, eg, i is sufficie o show, ha he sum of he ouer-diagoals are equal or less ha he diagoal a i, aii for i,, ad is he umber of discreiaio pois We have he followig assumpios: Assumpio ) We assume A is posiive defiie, ad herefore we have Coprigh SciRes

6 68 J GEISER see [9] ) We assume I A (68) E C H C H J u J u E (69) i The sabili is give wih i he followig Theorem: Theorem Give is he umerical scheme (7) ad we have he assumpios The scheme is sable for all ieraive seps i Proof Based o he assumpios we ca boud he iverse mari, also he previous soluio is bouded The scheme is sable We have he followig proof idea: Based o he assumpio, A is posiive defiie ad he esimaio of he remaiig erm, we have : E (7) i, E So we have a upper boud of he ieraive resuls, give b he previous soluio a ime Discreiaio Mehods of he Covecio-Diffusio Equaio For he dimesioal covecio-diffusio equaio we appl a secod order fiie differece scheme i space ad a higher order discreiaio scheme i ime u vudu, u u u u v v v D u u D D, u, u, We appl dimesioal spliig o our problem u A u A u Au where u u A v D We use a s order upwid scheme for ad a d order ceral differece scheme for B iroducig he arificial diffusio cosa D D v we achieve a d order fii e differece scheme uu Lu v uuu D because he ew diffusio cosa elimiaes he firs order error (ie he umerical viscosi) of he Talor epasio of he upwid scheme Lu ad Lu are derived i he same wa For he discreiaio i ime we use several eplici Ruge-Kua ad Adam-Bashforh mehods, his leads o resricios of he sep-sie i ime bu o he oher had he cos of implici mehods is much o high i his -dimesioal case Adam-Bashforh Mehods s h b f, b (7) s u id u,,, s (7)! s! i, i We cosider here s (firs order) h f, f, (7) ad s (secod order) 6 h f, f, (74) 5 f, Eplici Ruge-Kua Mehods I geeral a s-sage Ruge-Kua mehod ca be wrie i he followig wa: where s k h b (75) s k f hc, h alkl (76) l We will ake io accou he followig wo: Heu s hird-order ad Kua s classical fourh-order (77) Coprigh SciRes

7 J GEISER 69 (78) Spliig Mehods o Couple Mawell ad Covecio Diffusio Equaio We cocerae o he spliig mehods, which ca be classified as classical ad ieraive spliig mehods We propose ieraive spliig mehods b discussig he addiive ieraive spliig mehods, see [,] We cosider he followig he liear problem c Ac Bc, where he iiial codiios are (79) c c The opera- A ad B are spaiall discreied operaors, eg he ors correspod i space o he discreied covecio ad diffusio operaors (marices) Hece, he ca be cosidered as bouded operaors Ieraive Spliig Mehods The followig algorihm is based o he ieraio wih fied spliig discreiaio sep sie O he ime ierval, we solve he followig subproblems cosecuivel for i,,,m, cf [,] c c Ac Bc, wih c c, i i i i i (8) Aci Bci, wih ci c,(8) where c ad c is he kow spli approimaio a ime level The spli approimaio a ime level efied as is d c c m (Clearl, he fucio ci depeds o h e ierval,, oo, bu for he sake of simplici, i our oaio we omi he depedece o ) I he followig we aale he covergece ad he rae of he covergece of he mehod (8) - (8) for m edig o ifii for he liear operaors A, BX : X, where we assume ha hese ope raors ad heir sum are geera ors of he C semigroups We emphasie ha hese operaors are' ecessaril bouded, hus he covergece is eamied i a geeral Baach space seig Theorem Le us cosider he absrac Cauch prob- lem i a Baach space X c c c Ac Bc, < T,, (8) where A, BA, BX : X are give liear operaors beig geeraors of he C semigroup ad c X is a give eleme The he ieraio process (8) - (8) is coverge ad he rae of he covergece is of higher order The proof ca be foud i [] Remark 6 Whe A ad B are marices (ie (8) - (8) is a ssem of ordiar differeial equaios), for he growh esimaio we ca use he cocep of he logaclasses of marices we ca prove he validi rihmic orm, see eg [] Hece, for ma impora Remark 7 We oe ha a huge class of impora differeial operaors geerae a coracive semigroup This meas ha for such problems-assumig he eac solvabili of he spli subproblems-he ieraive spliig mehod coverges i higher order o he eac soluio I he e subsecio we prese he used ime-discreiaio mehods 4 Error Aalsis: Couplig Mehods For he couplig mehods we deal wih oliear differeial equaios of he followig pe: d c, wih A c c B c c c c, (8) d where c H, H, E, u, wih H, H is he mageic field, E is he elecric field ad u is he coce- of he species raio The mai idea is o boud he operaors Ac ad Bc i he discreied equaio o saisf a sable mehod A firs idea is he fi-poi scheme, ha is discussed i he followig subsecio Ieraive Operaor-Spliig Mehod as a Fi-Poi Scheme The ieraive operaor-spliig mehod is used as a fi-poi scheme o liearie he oliear operaors, see [,4] We resric our aeio o ime-depede parial differeial equaios of he form: d u, A u u B u u wih u c, (84) d where Au, Bu : X X are liear ad desel defied i he real Baach space X, ivolvig ol spaial derivaives of c, see [5] I he followig we discuss he sadard ieraive operaor-spliig mehods as a fipoi ieraio mehod o liearie he operaors Coprigh SciRes

8 7 J GEISER We spli our oliear differeial equaio (84) b applig: du i d i i i i A u u B u u, wih u c, du i d i i A u u B u u, wih u c, i i i i (85) (86) where he ime sep is The ieraios are i,,, m u c is he sarig soluio, where we assume he soluio c is ear c, or u So we have o solve he local fi-poi probime lem c is he kow spli approimaio a he level The spli approimaio a ime level is defied as c u m We assume he operaors Aui, Bui : X X o be liear ad desel de- fied o he real Baach space X, for i,,, m Here he lieariaio is doe wih respec o he ieraios, such ha Au, i Bui are a leas o-de- equaios, ad we ca pede operaors i he ieraive appl he liear heor The lieariaio is a leas i he firs equaio Aui Aui, ad i he secod equaio Bui Bui We have i i Au uu Au u wih sufficie ieraios i,,,m Remark 8 The lieariaio wih he fi-poi scheme ca be used for smooh or weak oliear operaors, oherwise we loose he covergece behavior, while we did o coverge o he local fi-poi, see [] 5 Eperimes I he followig eperimes, firs we deal wih he decoupled equaios, meas Mawell ad raspor equaios, o verif our mehods I he hird eperime, we cosider a sim ple PE-CVD process ad cocerae o he coupled raspor ad Mawell equaio 5 Tes Eperime : Mawell Equaio The ime-depede Mawell equaios i D is give as: H, E,,,, T, (87) H, E,,,, T, E, H H J source,,,, T, where J, si source (88) (89) We have o impleme he ouflow codiio, via he uderlig discreiaio mehod (we assume fiie dif o he cell wih he spaial ferece mehods), meas how ma coceraio is flowig via he ime-sep sep : The relaive spaial sep is give as relaiv The perceage of he ouflow is give as: relaiv rel E, ou rele,, The same is also give for he H, H Here w e appl he FDTD mehod of Yee s algorihm For spaial ad ime discreiaio i is impora o balace such schemes We assume o have fiie differece schemes i ime ad space Therefore he CFL (Coura Friedrichs Lev) codiio is impora o balace he schemes: While we are dealig wih wave-equaios: where, are he spaial ad ime seps To corol he elecric field E,, we have he followig lie source: J, si source where,, The corol of he paricle raspor is give b he elecric field i Figure The elecric ad raspor siuaio is give wih cu of he hree dimesioal model i Figure I he followig we have he lie sources wih he resuls give i Figure : Remark 9 We cosider he Mawell equaio, ha models a periodic elecric field i he reacor We appl Yee s algorihm o obai a leas a secod order scheme i ime ad space Based o he slower ime-scales of he Mawell equaios, which is less siff ha he raspor equaios, we have sufficie accurac i he full coupled ssem A higher order discreiaio scheme is ecessar for he raspor par Coprigh SciRes

9 J GEISER 7 5 Tes eperime : Covecio-Diffusio Equaio Figure Elecric field i he apparaus Algorihm 44 ) Iiialie Covecio-Diffusio equaio, ill sar ) Solve Elecric Field equaio wih s, we obai ar, E for sar ) Solve Covecio Diffusio equaio wih ad use for sar for he ukow 4) Do sar sar ad go o ) ill sar ed sar Figure Elecric field i he apparaus E, Figure Lie source of he Elecric field i he apparaus We deal wih he -dimesioal advecio-diffusio equaio ad periodic boudar codiios u v udu, u u u u v v D D, u, u, wih he parameers v v D 5 The give advecio-diffusio problem has a aalical soluio v ua, ep 4D which we will use as a coveie iiial fucio:,, u u a We appl dimesioal spliig o our problem where u A u A u u u A v D We use a s order upwid scheme for ad a d order ceral differece scheme for B iroducig he arificial diffusio cosa D D v we achieve a d order fiie differece scheme u u Lu v u uu D because he ew diffusio cosa elimiaes he firs order error (ie he umerical viscosi) of he Talor epasio of he upwid scheme Lu is derived i he same wa We appl a BDF5 mehod o gai 5h order accurac i ime For simplificaios, we o e ha he depedecies of u, are suppressed as u 7 Lu u 5u 5u 6 (9) 5 u u u Coprigh SciRes

10 7 J GEISER To compare he four mehods we have he followig geeral seig Le,,,, he ui cube There we se up he iiial coceraio a u ep wih a 5,5,5 which is us he aalical soluio u a, ep T v 4D (9) (9) (9) wih v ad D a 5 o Durig he followig eperimes we will se v ad cosider a equidisa laice of N pois ( N ) The resul is show wihi he followig Figures 4 ad 5: Remark We cosider he raspor equaio, ha models he mass raspor of he ioied species from he lower-lef o he middle of he reacor We use higher order ime ad spaial discreiaio schemes o obai higher order soluios Such mehods, we ca appl wih larger ime ad spaial seps ad obai sufficie accurae resuls Based o he fas ime-scales of he raspor equaios, which is siffer ha he Mawell equaio, we ca balace he larger ime-seps wih sufficie accurae soluio of he raspor regime i he coupled ssem H, E,,,, T, T H, E,,,, T, E, H H J source,,,,, The advecio-diffusio problem has a aalical so luio a he begiig for u a, ep, sar v 4D which we will use as a coveie iiial fucio:,, u u a Furher he fucio: (, ) for, (, ) (, ) for v E sar v E E where, sar sar 5 Tes Eperime : Couplig Covecio-Diffusio ad Elecric Field Equaios (Weak Couplig) Here, we cosider a simple PE-CVD process, ha a uderlig mass raspor of a gaseous species is iflueced b a elecric field, see [,] For raspor i a plasma evirome, we assume a homogeeous medium ad ha he ifluece of he elecric field ca be simulaed b a coupled raspor ad Mawell equaio, see cielieb5 For simplificaios, we deal wih he -dimesioal advecio-diffusio equaio ad elecric field equaio:, u u u v E v u u D D, u,, u,, Figure 4 Iiial gaseous coceraio a 5 Figure 5 Gaseous coceraio a 5 Coprigh SciRes

11 J GEISER 7 Boh equaios have he same domai,, Numericall we solve he equaio, as i he followig algorihm 5: The followig figures show he developig of he coceraio uder he ifluece of he elecric field, we deal wih a ormalied ime scale i sec Furher we have 7, sar 5 ad v for sar The resuls are give i Figure 6 - Remark Based o he raspor of he ioied species from he lower-lef o he middle of he reacor, we see ad ifluece of he species The former circular coceraio is spread ou o a diffusive ellipse Here, we ca corol he species i he reacor wih a elecric field Numericall, i is impora o deal wih he differ- e ime- ad spaial scales of he uderlig raspor ad Mawell equaio Via ieraive spliig, we could couple he wo equaios ssems ogeher ad reduce he umerical errors wih addiioal ieraive seps Figur e 8 Gaseous coceraio afer 6 wih a firs ifluece of he elecric field Figure 6 Gaseous coceraio afer 8 Figure 9 Elecric field afer 6 Figure 7 Elecric field afer 8 Figure Gaseous coceraio afer 48 wih a firs ifluece of he elecric field Coprigh SciRes

12 74 J GEISER 6 Coclusios Figure Elecric field afer 48 We prese a coupled model based o Mawell ad Traspor equaios, ha ca be applied for simplified raspor model for a ioied gaseous species i a PECVD reaor Based he differe scale models, we have icluded he opimal discreiaio mehods for each separae equaio Spliig mehods are used o couple he separae equaios ogeher Furher, we dis- cussed he spliig aalsis Numerical eamples are preseed o discuss he ifluece of decoupled ad coupled ssems I fuure, we will aale he validi of he models wih phsical eperimes 7 Refereces [] M Ohrig, Maerials Sciece of Thi Films, d Ediio, Academic Press, Sa Diego, New York, Boso, Lodo, [] J Geiser ad M Arab, Simulaio of a Chemical Vapor Deposiio: Mobile ad Immobile Zoes ad Homogeeous Laers, Joural of Porous Media, Begell House Ic, Reddig, 9, Vol, No, pp -4 [] L Rudiak, Numerical Simulaio of Chemical Vapour Deposiio Process i Elecric Field, Compuers & Chemical Egieerig, Vol, Suppleme, 998, pp [4] J Va Roe, J va der Dok ad P E Lagasse, Beam-Propagaio Mehod: Aalsis ad Assessme, Joural of he Opical Socie of America, Vol 7, No 7, 98, pp 8-8 doi:64/josa78 [5] M D Fei ad J A Fleck Jr, Aalsis of Rib Waveguides ad Couplers b he Propagaig Beam Mehod, Joural of he Opical Socie of America A, Vol 7, No, 99, pp 7-79 doi:64/josaa77 [6] M D Fei ad J A Fleck Jr, Ligh Propagaio i Graded-Ide Opical Fibers, OSA Applied Opics, Vol 7, No 4, 978, pp doi:64/ao799 [7] L Thle, E M Wrigh, G I Segema, C T Seao ad J V Moloe, Beam-Propagaio Mehod Aalsis of a Noliear Direcioal Coupler, OSA Opics Leers, Vol, No, 986, pp doi:64/ol79 [8] J A Fleck, J R Morris Jr ad M D Fei, Time-depede Propagaio of High Eerg Laser Beams hrough he Amosphere, Applied Phsics, Vol, No, 976, pp 9-6 doi:7/bf896 [9] M La, J H Baeh ad G P Agrawai, Chaelig of Iese Elecromageic Beams, Joural of Applied Phsics, Vol 5, No, 98, pp 9-5 doi:6/ 844 [] G I Marchuk, Some Applicaios of Spliig-up Mehad Compario of Dif- ods o he Soluio of Mahemaical Phsics Problems, Aplikace Maemaik, Vol, 968, pp - [] G Srag, O he Cosracio ferece Schemes, SIAM J Numerical Aalsis, Vol 5, No, 968, pp doi:7/754 [] K Okamoo, Fudameals of Opical Waveguides, Academic Press, New York, 5 [] A Taflove, Compuaioal Elecrodamics: The Fiie Differece Time Domai Mehod, Arcech House Ic, 995 [4] J P Bereger, A Perfecl Mached Laer for he Absorpio of Elecromageic Waves, J Comp Phs, Vol, 5, pp 85- [5] S D Gede, A Aisoropic Perfecl Mached Laer-Absorbig Medium for he Trucaio of Fdd Laices, IEEE Tra A Prop, Vol 44, No, 996, pp 6-69 [6] W Sha, X Wu, M Che ad Z Huag, Applicaio of he High-Order Smplecic Fdd Scheme o he Curved Three-Dimesioal Perfecl Coducig Obecs, [7] T Hiroo, W Lui, S Seki ad Y Yoshikui, A Three- Dimesioal Fourh-Order Fiie-Differece Time-Domai Scheme Usig a Smplecic Iegraor Propagaor, [8] J Geiser, Numerical Simulaio of a Model for Traspor ad Reacio of Radiouclides,, Proceedigs of he Large Scale Scieific Compuaios of Egieerig ad Eviromeal Problems, Soopol, [9] W Hackbusch, Ieraive Losug Groser Schwachbeseer Gleichugssseme, Teuber-Verlag, Sugar, 99 [] I Farago ad J Geiser, Ieraive Operaor-Spliig Mehods for Liear Problems, Ieraioal Joural of Compuaioal Sciece ad Egieerig, Vol, No 4, 7, pp 55-6 [] J Kae, C Miller ad C Kelle, Covergece of Ieraive Spli-Operaor Approaches for Approimaig Coprigh SciRes

13 J GEISER 75 Noliear Reacive Traspor Problems, Advaces i Waer Resources, Vol 6,, pp 47-6 doi:6/s9-78()6-8 [] J Geiser, Weighed Ieraive Operaor-Spliig Mehods: Sabili-Theor, Proceedigs of he 6h Ieraioal Coferece, NMA 6, Lecure Noes i Compuer Sciece, Spriger, Berli, Vol 4, 7, pp 4-47 [] W H Hudsdorfer ad J G Verwer, Numerical Soluio of Time-Depede Advecio-Diffusioreacio Equaios, Spriger, Berli, [4] J Geiser, Ieraive Operaor-Spliig Mehods wih Higher Order Time-Iegraio Mehods ad Applicaios for Parabolic Parial Differeial Equaios, Joural of Compuaioal ad Applied Mahemaics, Elsevier, Amserdam, Vol 7, 8, pp 7-4 [5] E Zeidler, Noliear Fucioal Aalsis ad Is Ap- plicaios II/B: Noliear Mooe Operaors, Spriger- Verlag, Berli-Heidelberg-New York, 99 Coprigh SciRes

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme

An Efficient Method to Reduce the Numerical Dispersion in the HIE-FDTD Scheme Wireless Egieerig ad Techolog, 0,, 30-36 doi:0.436/we.0.005 Published Olie Jauar 0 (hp://www.scirp.org/joural/we) A Efficie Mehod o Reduce he umerical Dispersio i he IE- Scheme Jua Che, Aue Zhag School

More information

EE757 Numerical Techniques in Electromagnetics Lecture 8

EE757 Numerical Techniques in Electromagnetics Lecture 8 757 Numerical Techiques i lecromageics Lecure 8 2 757, 206, Dr. Mohamed Bakr 2D FDTD e i J e i J e i J T TM 3 757, 206, Dr. Mohamed Bakr T Case wo elecric field compoes ad oe mageic compoe e i J e i J

More information

Electromagnetic Waves: Outline. Electromagnetic wave propagation in Particle-In-Cell codes. 1D discrete propagation equation in vacuum

Electromagnetic Waves: Outline. Electromagnetic wave propagation in Particle-In-Cell codes. 1D discrete propagation equation in vacuum Elecromageic Waves: Oulie Elecromageic wave propagaio i Paricle-I-Cell codes Remi Lehe Lawrece Berkele aioal Laboraor (LBL) umerical dispersio ad Coura limi Dispersio ad Coura limi i D Dispersio ad Coura

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Numerical Method for Ordinary Differential Equation

Numerical Method for Ordinary Differential Equation Numerical ehod for Ordiar Differeial Equaio. J. aro ad R. J. Lopez, Numerical Aalsis: A Pracical Approach, 3rd Ed., Wadsworh Publishig Co., Belmo, CA (99): Chap. 8.. Iiial Value Problem (IVP) d (IVP):

More information

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs America Joural of Compuaioal Mahemaics, 04, 4, 80-88 Published Olie Sepember 04 i SciRes. hp://www.scirp.org/joural/ajcm hp://dx.doi.org/0.436/ajcm.04.4404 Mea Square Coverge Fiie Differece Scheme for

More information

An Improvement for the Locally One-Dimensional Finite-Difference Time-Domain Method

An Improvement for the Locally One-Dimensional Finite-Difference Time-Domain Method A Improveme for he Locall Oe-Dimesioal Fiie-Differece Time-mai Mehod Xiuhai Ji gieerig Isiue of Corps gieers PLA Uiversi of Sciece ad Techolog Najig 0007 Chia -mail: jiiuhai968@ahoo.com.c Pi Zhag gieerig

More information

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE ANALYSIS OF THE CHAOS DYNAMICS IN (X,X ) PLANE Soegiao Soelisioo, The Houw Liog Badug Isiue of Techolog (ITB) Idoesia soegiao@sude.fi.ib.ac.id Absrac I he las decade, sudies of chaoic ssem are more ofe

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY ZHEN-GUO DENG ad GUO-CHENG WU 2, 3 * School of Mahemaics ad Iformaio Sciece, Guagi Uiversiy, Naig 534, PR Chia 2 Key Laboraory

More information

Lecture 15: Three-tank Mixing and Lead Poisoning

Lecture 15: Three-tank Mixing and Lead Poisoning Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

A Novel Approach for Solving Burger s Equation

A Novel Approach for Solving Burger s Equation Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 93-9466 Vol. 9, Issue (December 4), pp. 54-55 Applicaios ad Applied Mahemaics: A Ieraioal Joural (AAM) A Novel Approach for Solvig Burger s Equaio

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

More information

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme America Joural of Compuaioal ad Applied Maemaics, (6): 77-8 DOI:.59/.acam.6. Numerical Soluio of Parabolic Volerra Iegro-Differeial Equaios via Bacward-Euler Sceme Ali Filiz Deparme of Maemaics, Ada Mederes

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form Joural of Applied Mahemaics Volume 03, Aricle ID 47585, 7 pages hp://dx.doi.org/0.55/03/47585 Research Aricle A Geeralized Noliear Sum-Differece Iequaliy of Produc Form YogZhou Qi ad Wu-Sheg Wag School

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

Additional Tables of Simulation Results

Additional Tables of Simulation Results Saisica Siica: Suppleme REGULARIZING LASSO: A CONSISTENT VARIABLE SELECTION METHOD Quefeg Li ad Ju Shao Uiversiy of Wiscosi, Madiso, Eas Chia Normal Uiversiy ad Uiversiy of Wiscosi, Madiso Supplemeary

More information

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are:

If boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are: 3. Iiial value problems: umerical soluio Fiie differeces - Trucaio errors, cosisecy, sabiliy ad covergece Crieria for compuaioal sabiliy Explici ad implici ime schemes Table of ime schemes Hyperbolic ad

More information

2.3 Magnetostatic field

2.3 Magnetostatic field 37.3 Mageosaic field I a domai Ω wih boudar Γ, coaiig permae mages, i.e. aggregaes of mageic dipoles or, from ow o, sead elecric curre disribued wih desi J (m - ), a mageosaic field is se up; i is defied

More information

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier America Joural of Applied Mahemaics ad Saisics, 015, Vol. 3, No. 5, 184-189 Available olie a hp://pubs.sciepub.com/ajams/3/5/ Sciece ad Educaio Publishig DOI:10.1691/ajams-3-5- The Mome Approximaio of

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

VIM for Determining Unknown Source Parameter in Parabolic Equations

VIM for Determining Unknown Source Parameter in Parabolic Equations ISSN 1746-7659, Eglad, UK Joural of Iformaio ad Compuig Sciece Vol. 11, No., 16, pp. 93-1 VIM for Deermiig Uko Source Parameer i Parabolic Equaios V. Eskadari *ad M. Hedavad Educaio ad Traiig, Dourod,

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

Inference of the Second Order Autoregressive. Model with Unit Roots

Inference of the Second Order Autoregressive. Model with Unit Roots Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations.

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations. Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Chaper 7 Sysems of s Order Liear Differeial Equaios saddle poi λ >, λ < Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Mah-33 Chaper 7 Liear sysems

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

MODERN CONTROL SYSTEMS

MODERN CONTROL SYSTEMS MODERN CONTROL SYSTEMS Lecure 9, Sae Space Repreeaio Emam Fahy Deparme of Elecrical ad Corol Egieerig email: emfmz@aa.edu hp://www.aa.edu/cv.php?dip_ui=346&er=6855 Trafer Fucio Limiaio TF = O/P I/P ZIC

More information

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

More information

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA Volume 8 No. 8, 45-54 ISSN: 34-3395 (o-lie versio) url: hp://www.ijpam.eu ijpam.eu INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA A.Arul dass M.Dhaapal

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables Available olie a wwwsciecedireccom ScieceDirec Procedia - Social ad Behavioral Scieces 30 ( 016 ) 35 39 3 rd Ieraioal Coferece o New Challeges i Maageme ad Orgaizaio: Orgaizaio ad Leadership, May 016,

More information

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 2, 206 ISSN 223-7027 A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY İbrahim Çaak I his paper we obai a Tauberia codiio i erms of he weighed classical

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

REDUCED DIFFERENTIAL TRANSFORM METHOD FOR GENERALIZED KDV EQUATIONS. Yıldıray Keskin and Galip Oturanç

REDUCED DIFFERENTIAL TRANSFORM METHOD FOR GENERALIZED KDV EQUATIONS. Yıldıray Keskin and Galip Oturanç Mahemaical ad Compuaioal Applicaios, Vol. 15, No. 3, pp. 38-393, 1. Associaio for Scieific Research REDUCED DIFFERENTIAL TRANSFORM METHOD FOR GENERALIZED KDV EQUATIONS Yıldıray Kesi ad Galip Ouraç Deparme

More information

Prakash Chandra Rautaray 1, Ellipse 2

Prakash Chandra Rautaray 1, Ellipse 2 Prakash Chadra Rauara, Ellise / Ieraioal Joural of Egieerig Research ad Alicaios (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue, Jauar -Februar 3,.36-337 Degree Of Aroimaio Of Fucios B Modified Parial

More information

State and Parameter Estimation of The Lorenz System In Existence of Colored Noise

State and Parameter Estimation of The Lorenz System In Existence of Colored Noise Sae ad Parameer Esimaio of he Lorez Sysem I Eisece of Colored Noise Mozhga Mombeii a Hamid Khaloozadeh b a Elecrical Corol ad Sysem Egieerig Researcher of Isiue for Research i Fudameal Scieces (IPM ehra

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEAR APPROXIMATION OF THE BASELINE RBC MODEL FEBRUARY, 202 Iroducio For f(, y, z ), mulivariable Taylor liear epasio aroud (, yz, ) f (, y, z) f(, y, z) + f (, y, z)( ) + f (, y, z)( y y) + f (, y, z)(

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

Wave Equation! ( ) with! b = 0; a =1; c = c 2. ( ) = det ( ) = 0. α = ±c. α = 1 2a b ± b2 4ac. c 2. u = f. v = f x ; t c v. t u. x t. t x = 2 f.

Wave Equation! ( ) with! b = 0; a =1; c = c 2. ( ) = det ( ) = 0. α = ±c. α = 1 2a b ± b2 4ac. c 2. u = f. v = f x ; t c v. t u. x t. t x = 2 f. Compuaioal Fluid Dyamics p://www.d.edu/~gryggva/cfd-course/ Compuaioal Fluid Dyamics Wave equaio Wave Equaio c Firs wrie e equaio as a sysem o irs order equaios Iroduce u ; v ; Gréar Tryggvaso Sprig yieldig

More information

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix 4h Ieraioal Coferece o Sesors, Mecharoics ad Auomaio (ICSMA 06) A Complex Neural Newor Algorihm for Compuig he Larges eal Par Eigevalue ad he correspodig Eigevecor of a eal Marix HANG AN, a, XUESONG LIANG,

More information

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend 6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q

More information

SOLVING OF THE FRACTIONAL NON-LINEAR AND LINEAR SCHRÖDINGER EQUATIONS BY HOMOTOPY PERTURBATION METHOD

SOLVING OF THE FRACTIONAL NON-LINEAR AND LINEAR SCHRÖDINGER EQUATIONS BY HOMOTOPY PERTURBATION METHOD SOLVING OF THE FRACTIONAL NON-LINEAR AND LINEAR SCHRÖDINGER EQUATIONS BY HOMOTOPY PERTURBATION METHOD DUMITRU BALEANU, ALIREZA K. GOLMANKHANEH,3, ALI K. GOLMANKHANEH 3 Deparme of Mahemaics ad Compuer Sciece,

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

Time Dependent Queuing

Time Dependent Queuing Time Depede Queuig Mark S. Daski Deparme of IE/MS, Norhweser Uiversiy Evaso, IL 628 Sprig, 26 Oulie Will look a M/M/s sysem Numerically iegraio of Chapma- Kolmogorov equaios Iroducio o Time Depede Queue

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

FRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS

FRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS S33 FRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS by Derya DOGAN DURGUN ad Ali KONURALP * Deparme of Mahemaics

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Compact Finite Difference Schemes for Solving a Class of Weakly- Singular Partial Integro-differential Equations

Compact Finite Difference Schemes for Solving a Class of Weakly- Singular Partial Integro-differential Equations Ma. Sci. Le. Vol. No. 53-0 (0 Maemaical Scieces Leers A Ieraioal Joural @ 0 NSP Naural Scieces Publisig Cor. Compac Fiie Differece Scemes for Solvig a Class of Weakly- Sigular Parial Iegro-differeial Equaios

More information

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0

Advection! Discontinuous! solutions shocks! Shock Speed! ! f. !t + U!f. ! t! x. dx dt = U; t = 0 p://www.d.edu/~gryggva/cfd-course/ Advecio Discoiuous soluios socks Gréar Tryggvaso Sprig Discoiuous Soluios Cosider e liear Advecio Equaio + U = Te aalyic soluio is obaied by caracerisics d d = U; d d

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

Basic Results in Functional Analysis

Basic Results in Functional Analysis Preared by: F.. ewis Udaed: Suday, Augus 7, 4 Basic Resuls i Fucioal Aalysis f ( ): X Y is coiuous o X if X, (, ) z f( z) f( ) f ( ): X Y is uiformly coiuous o X if i is coiuous ad ( ) does o deed o. f

More information

International journal of Engineering Research-Online A Peer Reviewed International Journal Articles available online

International journal of Engineering Research-Online A Peer Reviewed International Journal Articles available online Ieraioal joural of Egieerig Research-Olie A Peer Reviewed Ieraioal Joural Aricles available olie hp://www.ijoer.i Vol.., Issue.., 3 RESEARCH ARTICLE INTEGRAL SOLUTION OF 3 G.AKILA, M.A.GOPALAN, S.VIDHYALAKSHMI

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

MODIFIED ADOMIAN DECOMPOSITION METHOD FOR SOLVING RICCATI DIFFERENTIAL EQUATIONS

MODIFIED ADOMIAN DECOMPOSITION METHOD FOR SOLVING RICCATI DIFFERENTIAL EQUATIONS Review of he Air Force Academy No 3 (3) 15 ODIFIED ADOIAN DECOPOSIION EHOD FOR SOLVING RICCAI DIFFERENIAL EQUAIONS 1. INRODUCION Adomia decomposiio mehod was foud by George Adomia ad has recely become

More information

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form,

11. Adaptive Control in the Presence of Bounded Disturbances Consider MIMO systems in the form, Lecure 6. Adapive Corol i he Presece of Bouded Disurbaces Cosider MIMO sysems i he form, x Aref xbu x Bref ycmd (.) y Cref x operaig i he presece of a bouded ime-depede disurbace R. All he assumpios ad

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme

More information

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION

DETERMINATION OF PARTICULAR SOLUTIONS OF NONHOMOGENEOUS LINEAR DIFFERENTIAL EQUATIONS BY DISCRETE DECONVOLUTION U.P.B. ci. Bull. eries A Vol. 69 No. 7 IN 3-77 DETERMINATION OF PARTIULAR OLUTION OF NONHOMOGENEOU LINEAR DIFFERENTIAL EQUATION BY DIRETE DEONVOLUTION M. I. ÎRNU e preziă o ouă meoă e eermiare a soluţiilor

More information

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay CS6: Iroducio o Compuig ih Neural Nes lecure- Pushpak Bhaacharyya Compuer Sciece ad Egieerig Deparme IIT Bombay Tilig Algorihm repea A kid of divide ad coquer sraegy Give he classes i he daa, ru he percepro

More information

Vibration damping of the cantilever beam with the use of the parametric excitation

Vibration damping of the cantilever beam with the use of the parametric excitation The s Ieraioal Cogress o Soud ad Vibraio 3-7 Jul, 4, Beijig/Chia Vibraio dampig of he cailever beam wih he use of he parameric exciaio Jiří TŮMA, Pavel ŠURÁNE, Miroslav MAHDA VSB Techical Uiversi of Osrava

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE

ECE 570 Session 7 IC 752-E Computer Aided Engineering for Integrated Circuits. Transient analysis. Discuss time marching methods used in SPICE ECE 570 Sessio 7 IC 75-E Compuer Aided Egieerig for Iegraed Circuis Trasie aalysis Discuss ime marcig meods used i SPICE. Time marcig meods. Explici ad implici iegraio meods 3. Implici meods used i circui

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

Let s express the absorption of radiation by dipoles as a dipole correlation function.

Let s express the absorption of radiation by dipoles as a dipole correlation function. MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles

More information

9. Point mode plotting with more than two images 2 hours

9. Point mode plotting with more than two images 2 hours Lecure 9 - - // Cocep Hell/feiffer Februar 9. oi mode ploig wih more ha wo images hours aim: iersecio of more ha wo ras wih orieaed images Theor: Applicaio co lieari equaio 9.. Spaial Resecio ad Iersecio

More information

Fuzzy Dynamic Equations on Time Scales under Generalized Delta Derivative via Contractive-like Mapping Principles

Fuzzy Dynamic Equations on Time Scales under Generalized Delta Derivative via Contractive-like Mapping Principles Idia Joural of Sciece ad echology Vol 9(5) DOI: 7485/ijs/6/v9i5/8533 July 6 ISSN (Pri) : 974-6846 ISSN (Olie) : 974-5645 Fuzzy Dyamic Euaios o ime Scales uder Geeralized Dela Derivaive via Coracive-lie

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

Lecture 8 April 18, 2018

Lecture 8 April 18, 2018 Sas 300C: Theory of Saisics Sprig 2018 Lecure 8 April 18, 2018 Prof Emmauel Cades Scribe: Emmauel Cades Oulie Ageda: Muliple Tesig Problems 1 Empirical Process Viewpoi of BHq 2 Empirical Process Viewpoi

More information