Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method

Size: px
Start display at page:

Download "Three Point Bending Analysis of a Mobile Phone Using LS-DYNA Explicit Integration Method"

Transcription

1 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) Three Poi Bedig Aalysis o a Mobile Phoe Usig LS-DYNA Explici Iegraio Mehod Feixia Pa, Jiase Zhu, Ai O. Helmie, Rami Vaaparas NOKIA Ic. Absrac I his aricle, he 3 poi bedig aalysis o a mobile phoe usig LS-DYNA explici iegraio mehod is discussed. Sice here are a large umber o coac pairs deied i he FEA model, ad he FEA model is very large i a 3 poi bedig aalysis o a phoe, i is much more coveie o use he explici mehod ha he implici mehod. However, usig explici procedure o a quasi-saic aalysis requires some special cosideraio. Sice a quasi-saic soluio, is by deiiio, a log-ime soluio. I oe requires a excessive umber o small ime icremes. I is compuaioally impracical o coduc he simulaio i is aural ime scale. I real aalysis, he quasi-saic eve is ariicially acceleraed by wo approaches o reduce he compuaio ime. Oe approach is o use mass scalig. Aoher approach is o icrease he loadig rae. These wo approaches are closely relaed ad should work ogeher. I hey are properly used, he speed o he aalysis could be icreased subsaially wihou severely degradig he qualiy o he quasi-saic soluio. We discuss i his aricle how he loadig rae ad mass scalig acor aec each oher, how o selec proper values o hese wo parameers, ad how o use hese wo approaches i he 3 poi bedig aalysis o a mobile phoe. 1. Iroducio The explici soluio mehod is origially developed o model high-speed impac eves i which ieria plays a domia role i he soluio. Ou-o-balace orces are propagaed as sress waves bewee eighborig elemes while solvig or a sae o dyamic equilibrium. Explici ime iegraio mehod has bee used exesively or phoe drop es simulaio. I ac, he explici mehod has prove o be valuable i solvig saic problems as well. For cerai ypes o saic problems, i is much more coveie o use explici mehod ha implici mehod. The explici mehod could more readily resolve complicaed coac problems ha he implici mehod. I addiio, as models become very large, he explici procedure requires less sysem resources ha he implici procedure. However, applyig he explici dyamic procedure o a quasi-saic problem requires some special cosideraios. Sice a saic soluio is, by deiiio, a log-ime soluio, i is oe compuaioally impracical o coduc he simulaio i is aural ime scale, which would require a excessive umber o small ime icremes. To obai a ecoomical soluio, he eve mus be acceleraed i some way. The goal is o model he process i he shores ime period i which ierial orces remai isigiica. There are wo approaches o accelerae he eve. Oe approach is o use mass scalig. Aoher approach is o icrease he loadig rae. I should be meioed ha hese wo approaches are closely relaed. They would aec each oher. I hese wo approaches are properly used, he speed o he aalysis could be icreased subsaially wihou severely degradig he qualiy o he quasi-saic soluio; he ed resul o he slow case ad a somewha acceleraed case would be early he same. Oherwise, he eve would be acceleraed o a poi a which ieria eecs domiae, he soluio would ed o localize, ad he resuls would be quie diere rom he quasi-saic soluio

2 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece I his aricle, we are goig o discuss he use o explici mehod o solve a 3 poi bedig problem o a phoe. Sice here are a large umber o coac pairs deied i he FEA model, ad he FEA model is very large i a 3 poi bedig aalysis o a phoe, i is much easier o use he explici mehod ha he implici mehod. We sar wih examiig how he loadig rae ad mass scalig acor aec each oher, ad how o selec proper values o hese wo parameers wih he aid o a simple mass sprig sysem. The we discuss i more deail he 3 poi bedig aalysis o he phoe.. Approaches o reduce he compuaio ime i a quasi-saic aalysis I usig explici mehod o solve a quasi-saic problem, he quasi-saic eve is usually acceleraed by mass scalig ad loadig rae scalig approaches. To eiciely use hese approaches, i is impora o udersad how he loadig rae scalig ad he mass scalig would aec he perormace o a explici aalysis. Accordig o [1], he ollowig ad hoc rules have bee used o deermie wheher a quasi-saic aalysis is successul: i) The kieic eergy o he deormed srucure shall o exceed a small racio (abou 5%) o is ieral eergy hroughou mos o he ime period o he explici aalysis. ii) The raio o he kieic eergy o he ieral eergy shall be less ha 0.1% a he seady sae. iii) The ime rae o chage o he ieral eergy shall be egligible a he seady sae. iv) The maximum ou-o-plae deormaio shall reach a cosa value a he seady sae. Esseially wheher a aalysis is quasi-saic or o depeds o wheher he dyamic vibraio erms are small eough or o i he respose o he sysem. I wha ollows, we use a simple mass-sprig sysem o discuss i ur he eec o loadig rae scalig ad mass scalig o he perormace o a quasi-saic aalysis..1 The eec o loadig rae Figure 1 shows a mass sprig sysem ad he loadig proile o ha sysem. The load is ramped o F 0 wihi, ad he keeps a he cosa value o F 0. m F k F F 0 Figure 1. Mass sprig sysem ad he loadig proile o ha sysem. 13-3

3 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) The exac soluio o he respose o he mass sprig sysem is as ollows: F 1 0 ( ) x = siω, k ω F 0 x( ) = 1 siω cos ω k ω, 0 (1), () where ω is he aural requecy o he sysem. The raio o he kieic eergy o he ieral eergy is give by: Ekieic mf0 (1 cosω) ( ) = Ei eral k 1 1 siω ω si ω si ( ) ω Ekieic mf0 ( ) = Ei eral k 1 siω cos ( ) ω ω From equaios (1), (), ad (4), we id a ecessary codiio or he vibraio erms i equaios (1) ad () be very small, ad he raio o kieic eergy o ieral eergy i equaio (4) is less ha a cerai value (0.1%) a he seady sae. This ecessary codiio is: he value o ω be big eough. A good rule o humb is o selec, 0, (3),. (4) such ha ω 0π. (5) This is equivale o he relaio o 10, where T is he aural period o he sysem []. This T rule o humb is also valid or a real applicaio o complicaed FEA model, excep ha ω should be replaced by he requecy o he 1 s aural mode o he sysem. Accordig o equaio (1), a sie wave is superimposed o he liear soluio o he displaceme respose o he sysem. The requecy or period o he 1 s aural mode o a real applicaio could be obaied by ruig requecy aalysis. I could also be esimaed by a ew rials o he explici aalysis, as will be discussed urher i Secio The eec o mass scalig For a quasi-saic aalysis, he chage i he mass o a objec wo aec he deormaio o ha objec i a soluio coverges. O he oher had, i a explici aalysis, he mass desiy o a maerial would aec he ime sep size o umerical iegraio. The ceral dierece scheme, which is he mos commoly used explici algorihm, is oly codiioally sable, he sabiliy limi beig approximaely equal o he smalles ime required or a soud wave o ravel L hrough ay o he eleme i he mesh. Tha is, Δ = mi mi, where L mi is he smalles S 13-33

4 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece dimesio i a eleme, ad S is he speed o soud ravelig hrough he eleme. I is well E kow ha he speed o soud ravelig hrough a eleme is proporioal o, where E ρ ad ρ are he Youg s modulus ad mass desiy o he maerial, respecively. Accordig o he above relaios, ariicially icreasig he maerial desiy ρ by a acor o decreases he wave speed by a acor o ad icreases he sable ime icreme by a acor o. Thereore, we could eiciely reduce he compuaio ime by icreasig he mass desiy o hose elemes wih relaively large E ad/or small L mi. Boh LS-DYNA ad ABAQUS/EXPLICIT have eaure o se a smalles ime sep size permied or umerical iegraio [3,4]. I ay elemes i he FEA model could o saisy his ime sep size limi, mass scalig would be doe o hese elemes. I LS-DYNA, he parameer dms i CONTROL_TIMESTEP card could be used o se he miimum ime sep size permied i he aalysis [3]. I simulaios ivolvig a rae-depede maerial or rae-depede dampig, such as dashpos, mass scalig is he oly opio or reducig he soluio ime. I such simulaios icreasig he loadig rae is o a opio because maerial srai raes icrease by he same acor as he loadig rae. Whe he properies o he model chage wih he srai rae, ariicially icreasig he loadig rae ariicially chages he process. However, as he icrease o mass causes he decrease o he requecy o he 1 s aural mode o he sysem, excessive mass scalig wihou icreasig he rampig ime o loadig could lead o erroeous soluio, sice he codiio i (5) would o be saisied. O he oher had, oo much mass scalig could dramaically chage he mass disribuio ad hus he dyamic behavior o he sysem. Someimes, maually scale he mass desiy o he pars would be beer ha usig he eaure o auomaic mass scalig. We could sar wih uiormly scalig he mass desiy o he whole FEA model, ad he scale cerai idividual elemes accordig o he miimum ime sep size limi. I is more secure o keep he perceage o he added mass hrough idividual eleme mass scalig low (less ha 5%). O he oher had, ogeher wih he approach o icreasig loadig rae, i we oly uiormly scale he mass desiy o he whole FEA model bu do o scale idividual eleme mass, he he mass scalig would o be helpul o reduce he compuaio ime. For isace, i we scale he mass o he whole FEA model by a acor o 10, he approximaely he sable ime sep size or umerical iegraio would be icreased by a acor o 10, bu he requecy o he 1 s aural mode o he sysem would be decreased by a acor o 10. I we wa o keep ω 0π, he he rampig ime eeds o be icreased by a acor o 10. As a resul, wih boh he sable ime sep size ad he rampig ime icreased by a acor o 10, he oal compuaio ime would be he same as i he case o o mass scalig. I addiio, i is see rom equaio (4) ha he raio o he kieic eergy o he ieral eergy whe is proporioal o m. To keep he m value o a cosa, he icrease o he global mass by a acor o 10 would require he icrease o he rampig ime by a acor o 10. This would lead o he same compuaio ime

5 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) 3. Three poi bedig aalysis o a phoe We use explici mehod o coduc a 3 poi bedig aalysis o a phoe wih commercially available FEA soware LS-DYNA. The loadig codiio is as ollows: The phoe is acig dowward. A load o 130N is applied a he ceer area o a circular shape wih diameer o 19mm. The wo eds o he phoe are suppored. Oe ed is ixed, ad he oher ed could move i he logiudial direcio (y axis). Figure shows a schemaic diagram o he laeral view o he 3 poi bedig es o he phoe. P=130N Figure. Schemaic diagram o a phoe uder 3 poi bedig es. 3.1 Selecio o mass scalig acor ad rampig ime or loadig Wihou acceleraig he eve, more ha a week o compuaio ime would be eeded o simulae he quasi-saic bedig process. This is because he ime sep size wih a explici aalysis o he phoe is as small as 5x10-5 ms, ad he ime period or he quasi-saic bedig is i he order o a ew secods. We cu he compuaio ime by mass scalig ad loadig rae scalig. We have ried various mass scalig o he 3 poi bedig aalysis o he phoe. Wihou mass scalig, he sable ime sep size is abou 5x10-5 ms. We se dms=-3x10-4 ms i LS-DYNA. Tha meas he miimum ime sep size permied i he aalysis is 3x10-4 ms. The ime sep size has bee elarged by a acor o 6. We ried he ollowig our mass scalig approaches: 1) No uiorm mass desiy scalig was doe o he whole FEA model. Through mass scalig o hose elemes ha could o saisy he 3x10-4 ms ime sep size limi, he mass added was 397% o he physical mass (M 0 ) o he phoe. So he oal mass o he FEA model was 4.97M 0. ) The mass desiy o he whole FEA model was scaled by a acor o 4, ad he 31% o (4 M 0 ) was added o he model so he oal mass o he model is 5.4 M 0. 3) The mass desiy o he whole FEA model was scaled by a acor o 8, ad he 4.03% o (8 M 0 ) was added o he model so he oal mass o he model is 8.3 M 0. 4) The mass desiy o he whole FEA model was scaled by a acor o 10, ad he 1.4% o (10 M 0 ) was added o he model so he oal mass o he model is M 0. Table 1 liss he mass scalig deails or hese our cases. I urs ou ha i he curre aalysis, all hese approaches could lead o coverge soluio wih load ramped rom 0 o 130N i 30ms. However, i some oher cases, he irs approaches may cause some rouble. I is recommeded ha eiher approach 3 or approach 4 be used

6 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece Table 1. Four cases wih diere deails o mass scalig Cases Physical mass Mass added by uiorm mass scalig Mass added by idividual mass scalig Toal mass aer mass scalig M M 0 3 M M M M M M M M M M 0 Nex we discuss quaiaively he reducio o he compuaio ime by approaches 3 ad 4. Usig approach 3, he mass o he model has bee icreased by a acor o 8.3, so he aural requecy o he sysem could be reduced by a acor o.9. As a resul, he rampig ime may eed o be icreased by a acor o.9 (.9 ). Sice he ime sep size has bee icreased 0 by a acor o 6, he compuaio ime could be reduced o abou 48% o he compuaio ime eeded wihou mass scalig. Similarly, usig approach 4, he mass o he model has bee icreased a acor o 10.14, so he aural requecy o he sysem could be reduced by a acor o 3.. As a resul, he rampig ime may eed o be icreased by a acor o 3., ad he compuaio ime could be reduced o abou 53% o he compuaio ime eeded wihou mass scalig. Figure 3 shows a ime sequece o he maximum delecio o he phoe rom a 3 poi bedig aalysis. I ha aalysis, he mass scalig deail o Case 4 i Table 1 has bee used. The rampig ime o loadig is se o be 50ms. I is see ha he aural period is abou 3 ms. Thereore, accordig o equaio (5), a rampig ime equal or greaer ha 30 ms would be eeded or a quasi-saic aalysis. Figure 3. Time sequece o he ceer delecio o a phoe rom a 3 poi bedig aalysis

7 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) We have ried o use a rampig ime o 1ms, 5ms, 0ms, 30ms, 40ms, ad 50ms, respecively. The simulaio resuls coverge or all hese rampig ime periods excep i he case o 1ms rampig ime. I he case o rampig he load wihi 1ms, he kieic eergy is oo big ad he resul could o coverge. Figure 4 shows he maximum delecio o he phoe versus he load applied o he ceer area o he phoe wih rampig ime periods o 5ms, 0ms, 30ms, 40ms, ad 50ms, respecively. I is see ha excep he case wih rampig ime o 5ms, he respose is very close o quasi-saic. As a resul, o obai accurae eough soluio wih miimum compuaio ime, a rampig ime o 30ms is recommeded or he 3 poi bedig aalysis o he phoe. Figure 4. The maximum delecio o he phoe versus he load applied o he ceer area o he phoe wih various rampig ime periods. 3. Simulaio resuls Figures 5 ad 6 show he coour plos o he verical displaceme o he phoe rom 3 poi bedig quasi-saic aalysis

8 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece Figure 5. Coour plo o he displaceme i z direcio o he back o he phoe rom quasisaic 3 poi bedig aalysis. Figure 6. Coour plo o he displaceme i z direcio o he ro o he phoe rom quasisaic 3 poi bedig aalysis

9 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) As meioed beore, a rampig ime o 30 ms is recommeded or he quasi-saic aalysis. I eeds abou 35 hour CPU ime o complee he aalysis usig oe HP UNIX worksaio J6700. Figure 7 shows he ime sequeces o he kieic eergy, ieral eergy, oal eergy, hourglass eergy, ad exeral work durig he 3 poi bedig aalysis o he phoe. The load is ramped wihi 30ms. I is see ha he kieic eergy is very small ad is egligible relaive o he ieral eergy. So is he hourglass eergy. The ieral eergy is very close o he oal eergy o he sysem ad is very close o he exeral work doe o he sysem. For urher clariicaio, Figure 8 shows he ime sequece o he kieic eergy. I is see rom Figures 7 ad 8 ha he kieic eergy is less ha 5% o he ieral eergy hroughou mos o he ime period o he aalysis. The raio o he kieic eergy o he ieral eergy is less ha 0.07% a he seady sae. The ieral eergy reaches a seady sae whe he load is held a a cosa value. The ieral eergy o he seady sae is abou 11 N.mm. To show ha 30ms rampig ime is eough log or he accuracy o he soluio, we show i Figure 9 he eergy ime sequeces durig he 3 poi bedig aalysis o he phoe whe usig 50ms as he rampig ime. Wih 50ms as he rampig ime, i eeds abou 58 hour CPU ime o iish he aalysis usig oe HP UNIX worksaio J6700. I is see orm Figure 9 ha he ieral eergy o he seady sae is abou 11 N.mm. This shows ha boh he simulaio resuls wih rampig ime o 30ms ad rampig ime o 50ms coverge o he same soluio. This reveals ha he rampig ime o 30ms is eough log or accurae soluio o he 3 poi bedig quasi-saic aalysis. Based o he above discussio, we see ha he quasi-saic aalysis wih a rampig ime o 30ms is successul. Figure 7. Eergy ime sequeces durig he 3 poi bedig aalysis o he phoe whe usig 30ms as he rampig ime

10 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece Figure 8. Time sequece o kieic eergy durig he 3 poi bedig aalysis o he phoe whe usig 30ms as he rampig ime. Figure 9. Eergy ime sequeces durig he 3 poi bedig aalysis o he phoe whe usig 50ms as he rampig ime

11 9 h Ieraioal LS-DYNA Users Coerece Simulaio Techology (3) Figure 10 shows he ime sequeces o he maximum delecio o he phoe durig 3 poi bedig aalysis whe usig 30ms ad 50ms as rampig ime, respecively. I is see ha he maximum delecio i he seady sae is abou 0.305mm wih eiher o he rampig ime. Figure 10. Time sequeces o he maximum delecio o he phoe durig 3 poi bedig aalysis. I addiio, we have checked he peelig sress o he solder iercoecs bewee he elecroic packages ad he PWB, he 1 s pricipal srai o LCD glass, he Vo Mise sress o he PWB ad he phoe cover, ec. 4. Coclusios The 3 poi bedig aalysis o a phoe has bee coduced usig explici iegraio mehod. I has bee show ha or a quasi-saic problem wih large umber o poeial closures/opeigs i coac, ad wih large size o FEA model, i is much more coveie o use he explici mehod ha he implici mehod. I usig explici mehod o solve a quasi-saic problem, he compuaio ime could be reduced by loadig rae scalig ad mass scalig. The loadig rae scalig ad mass scalig echiques should be boh cosidered sice hey aec each oher. I hey are properly used, he speed o he aalysis could be icreased dramaically wihou severely degradig he qualiy o he quasi-saic soluio. A good rule o humb is o selec he loadig rae such ha he rampig ime o loadig is abou 10 imes o he period o he 1 s aural mode o he sysem. The requecy or period o he 1 s aural mode o a real applicaio could be esimaed by ruig requecy aalysis or by a ew rials o he explici aalysis. Mass scalig could icrease he sable ime sep size o explici iegraio, bu a he same ime i would icrease he period o he 1 s aural mode o he sysem. Too much mass scalig could dramaically chage he mass disribuio ad hus he dyamic behavior o he sysem

12 Simulaio Techology (3) 9 h Ieraioal LS-DYNA Users Coerece Someimes, maually scale he mass desiy o he pars would be beer ha usig he eaure o auomaically mass scalig. I he 3 poi bedig aalysis o he phoe, we sar wih uiormly scalig he mass desiy o he whole FEA model, ad he scale hose idividual elemes ha sill could o saisy he miimum ime sep size limi. The sable ime sep size o he aalysis has bee icreased by a acor o 6 wih he aid o mass scalig. Based o he mass scalig acor, a 30ms o rampig ime o loadig is recommeded i compariso wih a ew secods i real 3 poi bedig es. The loadig rae has bee acceleraed by orders o magiude. Accordig o he ime sequeces o he eergy proile ad he maximum delecio o he phoe, he 3 poi bedig quasi-saic aalysis is successul. The oal CPU ime eeded o iish he aalysis is abou 35 hours usig oe HP UNIX worksaio J6700. The compuaio ime could be reduced by usig muliple CPU ad/or usig aser compuer. Ackowledgemes The auhors would like o hak Fujii Takaharu or maagig he research projec. Thaks ad appreciaios also exed o he members i he NRC Dallas produc iegraio group. Wihou he grea helps o hem, i would be impossible o iish his work. Reereces [1] J. T. Wag, T. Che, D. W. Sleigh, ad A. Tessler, Simulaig oliear deormaios or solar sail membraes usig explici ime iegraio, 45h AIAA/ASME/ASCE/AHS/ASC Srucures, Srucural Dyamics ad Maerials Coerece, Palm Sprigs, Calioria, AIAA , April 19-, 004, pp. 15, (837KB). [] Geig sared wih ABAQUS/EXPLICIT keywords versio, ABAQUS Versio 6.4 Documeaio. [3] LS-DYNA keyword user s maual, April 003, versio 970. [4] ABAQUS aalysis user s maual, ABAQUS Versio 6.4 Documeaio. 13-4

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

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

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

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

B. Maddah INDE 504 Simulation 09/02/17

B. Maddah INDE 504 Simulation 09/02/17 B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

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

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline: ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

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

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

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

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

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

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

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

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

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

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

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

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

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

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

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

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 ME 31 Kiemaic ad Dyamic o Machie S. Lamber Wier 6.. Forced Vibraio wih Dampig Coider ow he cae o orced vibraio wih dampig. Recall ha he goverig diereial equaio i: m && c& k F() ad ha we will aume ha he

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

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green A Two-Level Quaum Aalysis of ERP Daa for Mock-Ierrogaio Trials Michael Schillaci Jeifer Vedemia Rober Buza Eric Gree Oulie Experimeal Paradigm 4 Low Workload; Sigle Sessio; 39 8 High Workload; Muliple

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

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1 Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f

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

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

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

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

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

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

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

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

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

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

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline:

ECE 340 Lecture 19 : Steady State Carrier Injection Class Outline: ECE 340 ecure 19 : Seady Sae Carrier Ijecio Class Oulie: iffusio ad Recombiaio Seady Sae Carrier Ijecio Thigs you should kow whe you leave Key Quesios Wha are he major mechaisms of recombiaio? How do we

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

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 LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

CONTACT BETWEEN FLEXIBLE BODIES IN NONLINEAR ANALYSIS, USING LAGRANGE MULTIPLIERS

CONTACT BETWEEN FLEXIBLE BODIES IN NONLINEAR ANALYSIS, USING LAGRANGE MULTIPLIERS COAC BEWEE FLEXIBLE BODIES I OLIEAR AALYSIS, USIG LAGRAGE MULIPLIERS Dr. Phillipe Jeeur Philippe.jeeur@samcef.com Samech, Parc Scieifiue du Sar-ilma Rue des Chasseurs Ardeais, 8 B-403 Agleur-Liège, Belgium

More information

Inverse Heat Conduction Problem in a Semi-Infinite Circular Plate and its Thermal Deflection by Quasi-Static Approach

Inverse Heat Conduction Problem in a Semi-Infinite Circular Plate and its Thermal Deflection by Quasi-Static Approach Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 93-9466 Vol. 5 Issue ue pp. 7 Previously Vol. 5 No. Applicaios ad Applied Mahemaics: A Ieraioal oural AAM Iverse Hea Coducio Problem i a Semi-Ifiie

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

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

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

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

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

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

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

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

Power Bus Decoupling Algorithm

Power Bus Decoupling Algorithm Rev. 0.8.03 Power Bus Decoulig Algorihm Purose o Algorihm o esimae he magiude o he oise volage o he ower bus es. Descriio o Algorihm his algorihm is alied oly o digial ower bus es. or each digial ower

More information

6.01: Introduction to EECS I Lecture 3 February 15, 2011

6.01: Introduction to EECS I Lecture 3 February 15, 2011 6.01: Iroducio o EECS I Lecure 3 February 15, 2011 6.01: Iroducio o EECS I Sigals ad Sysems Module 1 Summary: Sofware Egieerig Focused o absracio ad modulariy i sofware egieerig. Topics: procedures, daa

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

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

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

Chapter 6 - Work and Energy

Chapter 6 - Work and Energy Caper 6 - Work ad Eergy Rosedo Pysics 1-B Eploraory Aciviy Usig your book or e iere aswer e ollowig quesios: How is work doe? Deie work, joule, eergy, poeial ad kieic eergy. How does e work doe o a objec

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

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

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

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013 LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( x, y, z ) = 0, mulivariable Taylor liear expasio aroud f( x, y, z) f( x, y, z) + f ( x, y,

More information

Numerical KDV equation by the Adomian decomposition method

Numerical KDV equation by the Adomian decomposition method America Joral o oder Physics ; () : -5 Pblished olie ay (hp://wwwsciecepblishiggropcom/j/ajmp) doi: 648/jajmp merical KDV eqaio by he Adomia decomposiio mehod Adi B Sedra Uiversié Ib Toail Faclé des Scieces

More information

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models

Outline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae

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

Chemical Engineering 374

Chemical Engineering 374 Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers

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

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band MATEC We of Cofereces 7 7 OI:./ maeccof/77 XXVI R-S-P Semiar 7 Theoreical Foudaio of Civil Egieerig Effecs of Forces Applied i he Middle Plae o Bedig of Medium-Thickess Bad Adre Leoev * Moscow sae uiversi

More information

RCT Worksheets/Quizzes 1.06 Radioactivity and Radioactive Decay

RCT Worksheets/Quizzes 1.06 Radioactivity and Radioactive Decay RCT Workshees/Quizzes.06 Radioaciviy ad Radioacive Decay.06 WORKSHEET #. worker accideally igesed oe millicurie of I3. I3 has a half-life of 8 days. How may disiegraios per secod of I3 are i he workers

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

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

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

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

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

Vibration 2-1 MENG331

Vibration 2-1 MENG331 Vibraio MENG33 Roos of Char. Eq. of DOF m,c,k sysem for λ o he splae λ, ζ ± ζ FIG..5 Dampig raios of commo maerials 3 4 T d T d / si cos B B e d d ζ ˆ ˆ d T N e B e B ζ ζ d T T w w e e e B e B ˆ ˆ ζ ζ

More information

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013

LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013 LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 7, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( xyz,, ) = 0, mulivariable Taylor liear expasio aroud f( xyz,, ) f( xyz,, ) + f( xyz,, )( x

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

ECE 350 Matlab-Based Project #3

ECE 350 Matlab-Based Project #3 ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for

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

King Fahd University of Petroleum & Minerals Computer Engineering g Dept

King Fahd University of Petroleum & Minerals Computer Engineering g Dept Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure

More information

Complementi di Fisica Lecture 6

Complementi di Fisica Lecture 6 Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium

More information

July 24-25, Overview. Why the Reliability Issue is Important? Some Well-known Reliability Measures. Weibull and lognormal Probability Plots

July 24-25, Overview. Why the Reliability Issue is Important? Some Well-known Reliability Measures. Weibull and lognormal Probability Plots Par I: July 24-25, 204 Overview Why he Reliabiliy Issue is Impora? Reliabiliy Daa Paer Some Well-kow Reliabiliy Measures Weibull ad logormal Probabiliy Plos Maximum Likelihood Esimaor 2 Wha is Reliabiliy?

More information

O & M Cost O & M Cost

O & M Cost O & M Cost 5/5/008 Turbie Reliabiliy, Maieace ad Faul Deecio Zhe Sog, Adrew Kusiak 39 Seamas Ceer Iowa Ciy, Iowa 54-57 adrew-kusiak@uiowa.edu Tel: 39-335-5934 Fax: 39-335-5669 hp://www.icae.uiowa.edu/~akusiak Oulie

More information

Comparisons Between RV, ARV and WRV

Comparisons Between RV, ARV and WRV Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev

More information

Chemistry 1B, Fall 2016 Topics 21-22

Chemistry 1B, Fall 2016 Topics 21-22 Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad

More information

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap

Supplementary Information for Thermal Noises in an Aqueous Quadrupole Micro- and Nano-Trap Supplemeary Iformaio for Thermal Noises i a Aqueous Quadrupole Micro- ad Nao-Trap Jae Hyu Park ad Predrag S. Krsić * Physics Divisio, Oak Ridge Naioal Laboraory, Oak Ridge, TN 3783 E-mail: krsicp@orl.gov

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

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

BAYESIAN ESTIMATION METHOD FOR PARAMETER OF EPIDEMIC SIR REED-FROST MODEL. Puji Kurniawan M

BAYESIAN ESTIMATION METHOD FOR PARAMETER OF EPIDEMIC SIR REED-FROST MODEL. Puji Kurniawan M BAYESAN ESTMATON METHOD FOR PARAMETER OF EPDEMC SR REED-FROST MODEL Puji Kuriawa M447 ABSTRACT. fecious diseases is a impora healh problem i he mos of couries, belogig o doesia. Some of ifecious diseases

More information

Harmonic excitation (damped)

Harmonic excitation (damped) Harmoic eciaio damped k m cos EOM: m&& c& k cos c && ζ & f cos The respose soluio ca be separaed io par;. Homogeeous soluio h. Paricular soluio p h p & ζ & && ζ & f cos Homogeeous soluio Homogeeous soluio

More information

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response

ME 3210 Mechatronics II Laboratory Lab 6: Second-Order Dynamic Response Iroucio ME 30 Mecharoics II Laboraory Lab 6: Seco-Orer Dyamic Respose Seco orer iffereial equaios approimae he yamic respose of may sysems. I his lab you will moel a alumium bar as a seco orer Mass-Sprig-Damper

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

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1)

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1) Ope Access Joural of Mahemaical ad Theoreical Physics Mii Review The uiversal vecor Ope Access Absrac This paper akes Asroheology mahemaics ad pus some of i i erms of liear algebra. All of physics ca be

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