Applications of Homotopy Analysis Transform Method for Solving Various Nonlinear Equations

Size: px
Start display at page:

Download "Applications of Homotopy Analysis Transform Method for Solving Various Nonlinear Equations"

Transcription

1 World Applied Scieces Joral 8 (): , ISSN IDOSI Pblicaios, DOI:.589/idosi.wasj Applicaios of Hooopy Aalysis Trasfor Mehod for Solvig Varios Noliear Eqaios V.G. Gpa Si Gpa Depare of Maheaics, Uiversiy of Rajasha, Jaipr-355, Idia Jaga Nah Gpa Isie of Egieerig Techology, Siapra, Jaipr, Idia Absrac: I his paper, we apply Hooopy Aalysis Trasfor Mehod (HATM) for solvig varios oliear eqaios. This ehod is he cobied for of he hooopy aalysis ehod Laplace rasfor ehod. HATM is applied wiho ay discreizaio or resricive asspio avoids rodoff errors which ay lead he solio i closed for. The resls reveal ha he HATM is very effecive, coveie qie accrae o syse of oliear eqaios. Also i is show ha he Adoai decoposiio ehod hooopy perrbaio ehod Variaioal ieraio ehod are special case of hooopy aalysis rasfor ehod = Key words: Hooopy aalysis ehod Laplace rasfor ehod copled eqaios approiae solio eac solio INTRODUCTION Aalyical ehods have ade a coeback i research ehodology afer akig a backsea o he erical echiqes for he laer half of he precedig cery. The advaage of aalyical ehods are aifolds, he ai beig ha hey give a ch beer isigh ha he bers crched by a coper sig a prely erical algorih. Mos ew oliear eqaios do-o have a precise aalyic solio; so erical ehods have largely bee sed o hle hese eqaio. I rece years, ay ahors have paid aeio o sdyig he solios of oliear parial differeial eqaios by varios ehods. Aog hese are Adoai Decoposiio ehod [-4], he ahehod [5], he sie-cosie ehod [6, 7], he differeial rasfor ehod [8, 9], he Variaioal ieraio ehod [-7] he Laplace decoposiio ehod [8-]. Oe of he well kow perrbaio echiqe is Hooopy Perrbaio Mehod (HPM), firs proposed by Ji Ha He by cobiig he sard hooopy classical perrbaio echiqe for solvig varios liear, oliear iiial bodary vales probles [3-33] has bee odified laer by soe scieiss o obai ore accrae resls, rapid covergece redce he ao of copaio [34-37]. Also hooopy perrbaio ehod is cobied wih Laplace rasfor ehod [38], Sd rasfor [39] Variaioal ieraio ehod [4] o prodce highly effecive echiqes for oliear probles. Recely, Liao [4] proposed a powerfl aalyical ehod, aely he Hooopy Aalysis Mehod (HAM), for solvig varios liear oliear parial differeial eqaios. Differe fro perrbaio echiqes, he hooopy aalysis ehod does o deped po ay sall or large paraeers. The HAM was sccessflly applied o solve ay oliear probles [4-6]. Drig he las wo decades; M.Kha [56] proposed a echiqe by cobiig he hooopy aalysis ehod Laplace rasfor ehod, firs ie i lierare, aely Hooopy Aalysis Trasfor Mehod (HATM) for solvig varios oliear probles. The ai advaage of his proble is ha we ca accelerae he covergece rae, iiize ieraive ies, accordigly save he copaio ie evalae he efficiecy. Several eaples are give o access he reliabiliy of HATM. HOMOTOPY ANALYSIS METHOD Cosider he followig differeial eqaio N[( τ )] = () N is a oliear operaor, τ is he idepede variable (τ) is a kow fcio. For sipliciy, we igore all bodary or iiial codiios, which ca be reaed i he siilar way. By eas of geeralizig he radiioal hooopy ehod, cosrcs he zero-order deforaio eqaio, give by Liao. Correspodig Ahor: V.G. Gpa, Depare of Maheaics, Uiversiy of Rajasha, Jaipr-355, Idia 839

2 World Appl. Sci. J., 8 (): , ( q)l[ φ( τ;q) ( τ )] = q H()N[ τ φ( τ;q)] () q [,] is a ebeddig paraeer, is a o zero ailiary paraeer, H(τ) is a o zero ailiary fcio, L is a ailiary liear operaor, (τ) is a iiial gess of (τ) φ(τ;q) is a kow fcio. I is ipora ha oe has grea freedo o choose ailiary higs i HAM. Obviosly, whe q = q =, i holds φτ ( ;) = ( τ) φτ ( ;) = ( τ ) (3) Ths, as q icreases fro o, he solio φ(τ;q) varies fro he iiial gess (τ) o he solio (τ). Epig φ(τ;q) by Taylor series wih respec o q, we ge φτ ( ;q) = ( τ+ ) ( τ)q (4) = φτ ( ;q) ( τ ) = q=! q If he ailiary liear operaor, he iiial gess, he ailiary paraeer he ailiary fcio are so properly chose, he series (5) coverges a q =, he we have (r,) (r,) (r,) = (5) = + (6) χ =,, > () i shold be ephasized ha (τ) for is govered by he liear bodary codiios ha coe fro origial proble, which ca be easily solved by sybolic copaio sofware sch as Maple, Maheaica Malab. If eqaio () adis iqe solio, he his ehod will prodce he iqe solio. If eqaio () does o posses a iqe solio, he HAM will give a solio aog ay oher possible solios. HOMOTOPY ANALYSIS TRANSFORM METHOD (HATM) Cosider eqaio N[()] = g(), N represes a geeral oliear ordiary or parial differeial eqaio icldig boh liear oliear ers. The liear ers are decopose io L+R, L is he highes order liear operaor R is he reaiig of he liear operaor. Ths, he eqaio ca be wrie as [56] L+ R + N = g() () N, idicaes he oliear ers. By applyig Laplace rasfor o boh sides of Eq. (3), we ge L[L + R + N = g()] (3) which s be oe of he solios of he origial oliear eqaio, as prove by Liao []. As = H(τ) =, eqaio (3) becoes ( q)l[ φ( τ;q) ( τ )] + qn[ φ( τ ;q)] = (7) The goverig eqaio ca be dedced fro he zero-order deforaio eqaio (3). Defie he vecor = ( τ),(), τ ( τ) { } (8) Usig he differeiaio propery of Laplace rasfor, we ge k ( k) s L[] s () + L[R] + L[N] = L[g()] (4) k= O siplifyig k ( k) s k= s L[] s () + L[R] + L[N] = (5) Differeiaig eqaio (3) -ies wih respec o he ebeddig paraeer q, he seig q = fially dividig he by!, we obai he h -order deforaio eqaio. L ( τ) χ ( τ ) = H( τ)r ( ) (9) [ ] N[ φτ ( ;q)] R ( ) = q =! q () 84 We defie he oliear operaor k (k) N[ φ (,;q)] = L φ(,;q) s φ (,;q)() s k= + L[ φ (,;q)] + L[R φ (,;q)] (6) s φ(,;q) is a real fcios of, q. We cosrc a hooopy as

3 World Appl. Sci. J., 8 (): , ( q)l[ φ(,;q) (,)] = q H(,)N[(,)] (7) q [,] is a ebeddig paraeer, is a o zero ailiary paraeer, H(,τ) is a o zero ailiary fcio, L is a ailiary liear operaor, (,τ) is a iiial gess of (τ φ(,;q) is a kow fcio. I is ipora ha oe has grea freedo o choose ailiary higs i HAM. Obviosly, whe q = q =, i holds φ (,;) = (,) φ (,;) = (,) (8) respecively. Ths, as q icreases fro o, he solio φ(;q) varies fro he iiial gess (τ) o he solio (τ). Epig φ(;q) by Taylor series wih respec o q, we ge (,;q) (,) (,)q φ = + (9) = φ(,;q) (,) = q =! q () χ =,, > APPLICATIONS Eaple 4.: Le s cosider he followig proble wih he iiial codiios (6) + = (7) (,) = To solve eqaio (7) by eas of he hooopy aalysis ehod Le s cosider he followig liear operaor wih he propery ha φ(,;q) L φ (,;q) = (8) If he ailiary liear operaor, he iiial gess, he ailiary paraeer he ailiary fcio are so properly chose, he series (9) coverges a q =, he we have which iplies ha Lc L() = (9) = ()d (3) (r,) (r,) (r,) = + () = Takig Laplace rasfor of eqaio (7) boh of sides sbjec o he iiial codiio, we ge which s be oe of he solios of he origial oliear eqaio. The goverig eqaio ca be dedced fro he zero-order deforaio eqaio (7). Defie he vecor = (,), (,), (,) () { } Differeiaig eqaio (7) -ies wih respec o he ebeddig paraeer q, he seig q = fially dividig he by!, we obai he h -order deforaio eqaio. L (,) χ (,) = H(,)R ( ) (3) Applyig iverse Laplace rasfor we ge (,) = χ + L H(,)R ( ) (4) N[ φ(,;q)] R ( ) = q = (5)! q 84 L(,) L s s + + = (3) We ow defie he oliear operaor as φ(,;q) N[ φ (,;q)] = L φ (,;q) + + L φ (,;q) = s s (3) he he h -order deforaio eqaio is give by L (,) χ (,) = H(,)R ( ) (33) Takig iverse Laplace rasfor of Eq. (33), we ge (,) = χ + L H(,)R ( ) i R( ) = L + ( χ ) + L i (34) s s i=

4 World Appl. Sci. J., 8 (): , le s ake he iiial approiaio as (,) = he oher copoes are as follows ( )( ) (,) = { } ( ) ( ) (,) = + (35) ( (,;q) ) ( φ ) φ + φ = φ + = s s (,;q) N (,;q) L (,;q) L (4) he he h -order deforaio eqaio is give by L (,) χ (,) = H(,)R ( ) (43) { } ( ) ( ) (,) = + + so o he he approiae solio a = is give by R( ) = L ( χ) s 3 + L i i + 3 i i s i= i= Le s ake he iiial approiaio as (44) (,) =, < (36) which is a eac solio is sae as obaied by HAM [57] VIM [58]. Eaple 4.: Le s cosider he followig proble wih he iiial codiio + ( ) + ( ) = (37) (,) = To solve eqaio (37) by eas of he hooopy aalysis ehod Le s cosider he followig liear operaor wih he propery ha which iplies ha φ(,;q) L φ (,;q) = Lc L() (38) = (39) = ()d (4) Takig Laplace rasfor of eqaio (37) boh of sides sbjec o he iiial codiio, we ge (,) = he oher copoes are give by (,) = ( ) (,) = ( ) (,) = + + (45) 4 ( ) 3 (,) = + + so o he he approiae solio a = is give by (,) = (46) + which is a eac solio is sae as obaied by HAM [57] VIM [58]. Eaple 4.3: Le s cosider he followig copled syse of eqaio wih he iiial codiios ( ) + v = (47) ( ) v v vv + v = L(,) L ( ) ( ) + + = s s we ow defie he oliear operaor as (4) (,) = si, v(,) = si To solve eqaio (47) by eas of he hooopy aalysis ehod 84

5 World Appl. Sci. J., 8 (): , Le s cosider he followig liear operaor φ(,;q) L φ (,;q) = (48) wih he propery ha which iplies ha Lc = (49) L() = ()d (5) Takig Laplace rasfor of eqaio (47) boh of sides sbjec o he iiial codiio, we ge si L(,) + L + ( v) = s si L v(,) + L v vv + ( v) = s (5) we ow defie he oliear operaor as si φ (,;q) φ (,;q) N φ (,;q) = L φ(,;q) + L L φ (,;q) s si φ (,;q) φ (,;q) N φ (,;q) = L φ(,;q) + L L φ (,;q) s ( φ φ ) (,;q) (,;q) (5) ( φ φ ) (,;q) (,;q) (53) he he h -order deforaio eqaio is give by L (,) χ (,) = H(,)R ( ) (54) L v (,) χ v (,) = H(,)R (v ) (55) Takig iverse Laplace rasfor of Eq. (54) Eq. (55), we ge (,) = χ + L H(,)R ( ) (56) v (,) =χ v + L H(,)R (v ) (57) ( v ) si i i i R( ) = L (,) ( χ ) + L i s i= i= ( v i i) si i R( ) = L (,) ( χ ) + L i s i= i= ( v i i) si v v i R( v ) = L v (,) ( χ ) + L v i s i= i= (58) (59) Le s ake he iiial approiaio he oher copoes are give by (,) = si v (,) = si (6) 843

6 (,) = si v(,) = si (,) = si + ( + )! v (,) = si + ( + ) (6)! (,) = si + ( + + ) + ( + ) 3! v(,) 3 = si + ( + + ) + ( + ) 3! so o he he approiae solio a = is give by (,) World Appl. Sci. J., 8 (): , = e si (6) v(,) = e si which is a eac solio is sae as obaied by HAM [57] VIM [58]. CONCLUSIONS I his paper, he hooopy aalysis rasfor ehod (HATM) is sccessflly applied o solve ay oliear probles. I is apparely see ha HATM is very powerfl efficie echiqe i fidig aalyical solios for wider class of probles. They also do o reqire large coper eory discreizaio of variable. The resls show ha HATM is powerfl aheaical ool for solvig oliear eqaios. Also i has bee show ha VIM is he special case of HATM HAM. REFERENCES. Adoai, G., 994. Solvig Froier proble of Physics: The Decoposiio Mehod, Klwer Acad.Pbl., Boso.. Wazwaz, A.M.,. A ew algorih for calclaig Adoai polyoials for oliear operaors. Applied Maheaics Copaio, : Wazwaz, A.M.,. Cosrcig of soliary wave solios raioal solios for he KdV eqaio by Adoai Decoposiio Mehod. Chaos Solios Fracals, : Sadighi, A., D.D. Gaji Y. Sabzeheidai, 8. A Decoposiio ehod for Vole Fl Average Velociy of hi fil flow of a hird grade fil dow a iclied plae. Advace i Theoreical Applied Mechaics, : Wazwaz, A.M., 4. A sie-cosie ehod for hlig oliear wave eqaios. Maheaical Coper Modelig, 4: Wazwaz, A.M., 5. The ah sie-cosie ehods for he cople odified geeralized KdV eqaios. Copers Maheaics wih Applicaios, 49: Fa, E.,. Eeded ah-fcio is applicaios o oliear eqaios. Physics Leers A 77: Keski, Y. G. Orac, 9. Redced Differeial Trasfor Mehod for Parial differeial eqaios, Ieraioal Joral of Noliear Scieces Nerical Silaio, (6): Keski, Y. G. Orac,. Redced Differeial Trasfor Mehod for Fracioal Parial Differeial eqaios. Noliear Scieces Leers, A (): He, J.H., 999. Variaioal Ieraio ehod-a kid of oliear aalyical echiqes: soe eaples. Ieraioal Joral of Noliear Mechaics, 34: He, J.H. X.H. W, 7. Variaioal Ieraio Mehod: ew develope applicaios. Copers Maheaics wih Applicaios, 59: Solai, L.A. A. Shirzadi,. A ew odificaio of he variaioal ieraio ehod. Copers Maheaics wih Applicaios, 59: Faraz, N., Y. Kha A. Yildiri,. Aalyical Approach o wo diesioal viscos flows wih a shrikig shee via variaioal ieraio algorih-ii. Joral of Kig Sad Uiversiy, doi:.6j.jkss W, G.C. E.W.M. Lee,. Fracioal variaioal ieraio ehod is applicaio. Physics Leers A doi:.6 / j.physlea Ch, C., 9. Forier-Series based variaioal ieraio ehod for a reliable reae of hea eqaios wih variable coefficies. Ieraioal Joral of Noliear Scieces Nerical Silaio, : Mohyd-Di, S.T.,. Modified variaioal ieraio ehod for iegro-differeial eqaios copled syses. Zeischrif fr Narforschg A. A Joral of Physical Scieces, 65 a:

7 7. Mohyd-Di, S.T.,. Variaioal ieraio echiqes for bodary vale probles. VDM Verlag, ISBN Khri, S.T.,. A Laplace decoposiio algorih applied o a class of oliear parial differeial eqaios. Joral of Applied Maheaics, : Ysfogl, E., 6. Nerical solio of Dffig eqaio by he Laplace decoposiio ehod. Applied Maheaics Copaio, 77: Kha, Y., 9. A efficie odificaio of he Laplace decoposiio ehod for oliear eqaios. Ieraioal Joral of Noliear Scieces Nerical Silaio, : Kha, Y. N. Faraz,. A ew approach o differeial-differece eqaios. Joral of Advaced Research i Differeial Eqaios, : -.. Isla, S., Y. Kha N. Faraz,. Nerical solio of logisic differeial eqaios by sig he Laplace decoposiio ehod. World Applied Scieces Joral, 8: Doairry, G. N. Nadi, 8. Assesse of hooopy aalysis ehod hooopy perrbaio ehod i oliear hea rasfer eqaio. Ieraioal Coicaio i Hea Mass Trasfer, 35: Rajabi, A., 7. Hooopy perrbaio ehod for fi efficiecy of covecive sraigh fis wih eperare depede heral codciviy. Physics Leers, A 364: Akbarzade, M. J. Lagari,. Applicaio of Hooopy perrbaio ehod Variaioal ieraio ehod o hree diesioal diffsio proble. Ieraioal Joral of Maheaical Aalysis, 5 (8): Rafari, B. A. Yildiri,. The applicaio of hooopy perrbaio ehod for MHD flows of UCM flids above poros srechig shee. Copers Maheaics wih Applicaios, 59: Gpa, V.G. S. Gpa,. A Reliable Algorih for solvig oliear Kawahara eqaio is geeralizaio. Ieraioal Joral of Copaioal Sciece Maheaics, : X, L., 7. He's hooopy perrbaio ehod for bodary layer eqaio i boded doai. Copers Maheaics wih Applicaios, 54: Yildiri, A., 9. Applicaio of He's hooopy perrbaio ehod for solvig he Cachy reacio-diffsio eqaios. Copers Maheaics wih Applicaios, 57 (4): World Appl. Sci. J., 8 (): , Gaji, D.D., 6. The applicaio of He's hooopy perrbaio ehod for oliear eqaio arisig i hea rasfer. Physics Leers, A 355: Biazar, J., Z. Ayai H. Ebrahii, 9. Hooopy perrbaio ehod for geeral for of poros edi eqaio. Joral of Poros Media, (): Siddiqi, A.M., R. Mahood Q.K. Ghori, 6. Thi fil flow of a hird grade flid o a ovig bel by He's hooopy perrbaio ehod. Ieraioal Joral of Noliear Scieces Nerical Silaio 7 (): Biazar, J., K. Hosseii P. Gholai, 8. Hooopy perrbaio ehod Fokker-Plack eqaio. Ieraioal Maheaical For, 9 (3): Odiba, Z. S. Moai, 8. Modified hooopy perrbaio ehod: Applicaio o Riccai differeial eqaio of fracioal order. Chaos Solios Fracals, 36: Odiba, Z., 7. A ew odificaio of he hooopy perrbaio ehod for liear oliear operaors. Applied Maheaics Copaio, 89 (): Nadjafi, J. M. Taagar,. Modified Hooopy perrbaio ehod for solvig iegral eqaios. Ieraioal Joral of Moder Physics, B 4 (): Jafari, M.A. A Aiaaei,. Iprovee of he hooopy perrbaio ehod for solvig diffsio eqaios. Physica Scripa, 8 (): Madai, M. M. Faizadeh,. Hooopy perrbaio algorih sig Laplace rasforaio. Noliear Sciece Leers, A: Sigh, J., D. Kar Sshila,. Hooopy perrbaio Sd rasfor ehod for oliear eqaios. Advaced Sdies i Theoreical Physics, 4 (4): Noor, M.A., S.T. Mohyd-Di, 8. Variaioal hooopy perrbaio ehod for solvig higher diesioal iiial bodary vale proble. Maheaical Probles i Egieerig, Aricle ID doi:.55/8/ Liao, S.J., 99. The proposed hooopy aalysis echiqe for he solio of oliear probles. Ph.D Thesis, Shaghai Jiao Tog Uiversiy. 4. Hassai, M., M.M. Tabar, H. Neai, G. Doairry F. Noori,. A aalyical solio for bodary layer flow of a aoflid pas a srechig shee. Ieraioal Joral of Theral Scieces, 48: -8.

8 World Appl. Sci. J., 8 (): , 43. Abbasby, S.,. Hooopy aalysis ehod for he Kawahara eqaio. Noliear Aalysis: Real World Applicaios, : Qi, W.,. Applicaio of hooopy aalysis ehod o solve Relaivisic Toda-Laice Syse. Coicaio i Theoreical Physics, 53: Haya, T. M. Sajid, 7. O he aalyic solio for hi fil flow of a forh grade flid dow a verical cylider. Physics Leers, A 36: Abbasby, S., 6. The applicaio of hooopy aalysis ehod o oliear eqaios arisig i hea rasfer. Physics Leers, A 36: Liao, S.J.,. A aalyical approiaio of he drag coefficie for he viscos-flow pas a sphere. Ieraioal Joral of Noliear Mechaics, 37: Mohyd-Di, S.T., A. Yildiri M. Usa,. Hooopy aalysis ehod for fracioal parial differeial eqaios. Ieraioal Joral of Physical Scieces, 6 (): Mohyd-Di, S.T. A. Yildiri,. The erical solio of hree diesioal Helholz eqaio. Chiese Physics Leers, 7 (6): Yildiri, A. S.T. Mohyd-Di,. Aalyical approach o space ie fracioal Brger's eqaios. Chiese Physics Leers, 7 (9): Sajid, M., T. Haya S. Asghar, 6. O he aalyic solio of he seady flow of a forh grade flid. Physics Leers, A 355: Abbasby, S., 7. The applicaio of hooopy aalysis ehod o solve a geeralized Hiroa-Sasa copled KdV eqaio. Physics Leers, A 36: Doairry, G., M. Ghabarpor F. Ghabarpor, 9. Hooopy aalysis solio of hree diesioal diffsio eqaios. Selck Joral of Applied Maheaics, (): Das, S., R. Kar, P.K. Gpa H. Jafari,. Approiae aalyical solios for fracioal space ie parial differeial eqaios. Applicaio Applied Maheaics, 5 (): Sriivas, S. R. Mhraj,. Effecs of heral radiaio space porosiy o MHD ied covecio flow i a verical chael sig he hooopy aalysis ehod. Coicaio i Noliear Sciece Nerical Silaio, 5: Kha, M., M. Asif Go dal, I. Hssai S.K. Vaai,. A ew coparaive sdy bewee hooopy aalysis rasfor ehod hooopy perrbaio rasfor ehod o sei ifiie doai. Maheaical Coper Modellig, (Aricle i Press) doi:.6/j.c Aloari, A.K., M.S.M. Noorai R. Nazar, 8. The hooopy aalysis ehod for he eac solio of he K(,) Copled Brgers eqaios. Applied Maheaical Scieces, : Abdo, M.A. A.A. Solia, 5. Variaioal ieraio ehod for solvig Brger's Copled Brger's eqaios. Joral of Copaioal Applied Maheaics, 8: Baaieh, A.S., I. Hashi, S. Abbasby M.S.M. Noorai,. Direc solio of siglar higher order BVPs by he hooopy aalysis ehod is odificaio. World Applied Sciece Joral, (6): Fooladi, M., S.R. Abaspor, A. Kiiaeifar M. Rahipor, 9. O he aalyical solio of Kirchoff's odel for bea by sig hooopy aalysis ehod. World Applied Sciece Joral, 6 (3): Arifi, A.S., S.K. Vaai A. Yildiri,. Nerical solio of Hiroa-Sasa Copled KdV a Copled KdV eqaio by eas of hooopy aalysis ehod. World Applied Sciece Joral, 3 ():

Mechanical Vibrations Chapter 4

Mechanical Vibrations Chapter 4 Mechaical Vibraios Chaper 4 Peer Aviabile Mechaical Egieerig Deparme Uiversiy of Massachuses Lowell 22.457 Mechaical Vibraios - Chaper 4 1 Dr. Peer Aviabile Modal Aalysis & Corols Laboraory Impulse Exciaio

More information

Fuzzy Task Assignment Model of Web Services Supplier

Fuzzy Task Assignment Model of Web Services Supplier Advaed Siee ad Tehology eers Vol.78 (Mulrab 2014),.43-48 h://dx.doi.org/10.14257/asl.2014.78.08 Fuzzy Task Assige Model of Web Servies Sulier Su Jia 1,2,Peg Xiu-ya 1, *, Xu Yig 1,3, Wag Pei-lei 2, Ma Na-ji

More information

On the analytic solution for the steady drainage of magnetohydrodynamic (MHD) Sisko fluid film down a vertical belt

On the analytic solution for the steady drainage of magnetohydrodynamic (MHD) Sisko fluid film down a vertical belt Available a hp://pvamu.edu/aam Appl. Appl. Mah. IN: 193-9466 Vol. 10, Issue 1 (Jue 015), pp. 67-86 Applicaios ad Applied Mahemaics: A Ieraioal Joural (AAM) O he aalyic soluio for he seady draiage of mageohydrodyamic

More information

Unsteady State Molecular Diffusion

Unsteady State Molecular Diffusion Chaper. Differeial Mass Balae Useady Sae Moleular Diffusio Whe he ieral oeraio gradie is o egligible or Bi

More information

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND by Wachareepor Chaimogkol Naioal Isiue of Developme Admiisraio, Bagkok, Thailad Email: wachare@as.ida.ac.h ad Chuaip Tasahi Kig Mogku's Isiue of Techology

More information

Numerical Methods for the Navier-Stokes Equations

Numerical Methods for the Navier-Stokes Equations Comaioal Flid Dyamics I Nmerical Meods or e Navier-Sokes Eqaios Isrcor: Hog G. Im iversiy o Miciga Fall 00 Comaioal Flid Dyamics I Olie Wa will be covered Smmary o solio meods - Icomressible Navier-Sokes

More information

A New Hybrid Network Traffic Prediction Method

A New Hybrid Network Traffic Prediction Method This full ex paper was peer reviewed a he direcio of IEEE Couicaios Sociey subjec aer expers for publicaio i he IEEE Globeco proceedigs. A New Hybrid Nework Traffic Predicio Mehod Li Xiag, Xiao-Hu Ge,

More information

The Binomial Multi- Section Transformer

The Binomial Multi- Section Transformer 4/15/21 The Bioial Multisectio Matchig Trasforer.doc 1/17 The Bioial Multi- Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where: Γ ( ω

More information

1/22/2007 EECS 723 intro 2/3

1/22/2007 EECS 723 intro 2/3 1/22/2007 EES 723 iro 2/3 eraily, all elecrical egieers kow of liear sysems heory. Bu, i is helpful o firs review hese coceps o make sure ha we all udersad wha his heory is, why i works, ad how i is useful.

More information

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová The process of uderwriig UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Kaaría Sakálová Uderwriig is he process by which a life isurace compay decides which people o accep for isurace ad o wha erms Life

More information

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.

More information

Bullwhip Effect Measure When Supply Chain Demand is Forecasting

Bullwhip Effect Measure When Supply Chain Demand is Forecasting J. Basic. Appl. Sci. Res., (4)47-43, 01 01, TexRoad Publicaio ISSN 090-4304 Joural of Basic ad Applied Scieific Research www.exroad.com Bullwhip Effec Measure Whe Supply Chai emad is Forecasig Ayub Rahimzadeh

More information

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1 Page Chemical Kieics Chaper O decomposiio i a isec O decomposiio caalyzed by MO Chemical Kieics I is o eough o udersad he soichiomery ad hermodyamics of a reacio; we also mus udersad he facors ha gover

More information

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers Ieraioal Joural of u- ad e- ervice, ciece ad Techology Vol.8, o., pp.- hp://dx.doi.org/./ijuess..8.. A Queuig Model of he -desig Muli-skill Call Ceer wih Impaie Cusomers Chuya Li, ad Deua Yue Yasha Uiversiy,

More information

3 Energy. 3.3. Non-Flow Energy Equation (NFEE) Internal Energy. MECH 225 Engineering Science 2

3 Energy. 3.3. Non-Flow Energy Equation (NFEE) Internal Energy. MECH 225 Engineering Science 2 MECH 5 Egieerig Sciece 3 Eergy 3.3. No-Flow Eergy Equatio (NFEE) You may have oticed that the term system kees croig u. It is ecessary, therefore, that before we start ay aalysis we defie the system that

More information

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory VOL., NO., November ISSN XXXX-XXXX ARN Joural of Sciece a Techology - ARN Jourals. All righs reserve. hp://www.ejouralofsciece.org Moiorig of Newor Traffic base o Queuig Theory S. Saha Ray,. Sahoo Naioal

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

Why we use compounding and discounting approaches

Why we use compounding and discounting approaches Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.

More information

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010 REVISTA INVESTIGACION OPERACIONAL VOL. 3, No., 59-70, 00 AN ALGORITHM TO OBTAIN AN OPTIMAL STRATEGY FOR THE MARKOV DECISION PROCESSES, WITH PROBABILITY DISTRIBUTION FOR THE PLANNING HORIZON. Gouliois E.

More information

RC (Resistor-Capacitor) Circuits. AP Physics C

RC (Resistor-Capacitor) Circuits. AP Physics C (Resisor-Capacior Circuis AP Physics C Circui Iniial Condiions An circui is one where you have a capacior and resisor in he same circui. Suppose we have he following circui: Iniially, he capacior is UNCHARGED

More information

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem

Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem Chrisia Kalhoefer (Egyp) Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 Rakig of muually exclusive ivesme projecs how cash flow differeces ca solve he rakig problem bsrac The discussio abou he

More information

Lecture 13. Lecturer: Jonathan Kelner Scribe: Jonathan Pines (2009)

Lecture 13. Lecturer: Jonathan Kelner Scribe: Jonathan Pines (2009) 18.409 A Algorithmist s Toolkit October 27, 2009 Lecture 13 Lecturer: Joatha Keler Scribe: Joatha Pies (2009) 1 Outlie Last time, we proved the Bru-Mikowski iequality for boxes. Today we ll go over the

More information

Hilbert Transform Relations

Hilbert Transform Relations BULGARIAN ACADEMY OF SCIENCES CYBERNEICS AND INFORMAION ECHNOLOGIES Volume 5, No Sofia 5 Hilber rasform Relaios Each coiuous problem (differeial equaio) has may discree approximaios (differece equaios)

More information

The Transport Equation

The Transport Equation The Transpor Equaion Consider a fluid, flowing wih velociy, V, in a hin sraigh ube whose cross secion will be denoed by A. Suppose he fluid conains a conaminan whose concenraion a posiion a ime will be

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis CBN Joural of Applied Saisics Vol. 4 No.2 (December, 2013) 51 Modelig he Nigeria Iflaio Raes Usig Periodogram ad Fourier Series Aalysis 1 Chukwuemeka O. Omekara, Emmauel J. Ekpeyog ad Michael P. Ekeree

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Theorems About Power Series

Theorems About Power Series Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius

More information

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment Hidawi Publishig Corporaio Mahemaical Problems i Egieerig Volume 215, Aricle ID 783149, 21 pages hp://dx.doi.org/1.1155/215/783149 Research Aricle Dyamic Pricig of a Web Service i a Advace Sellig Evirome

More information

CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations

CS103A Handout 23 Winter 2002 February 22, 2002 Solving Recurrence Relations CS3A Hadout 3 Witer 00 February, 00 Solvig Recurrece Relatios Itroductio A wide variety of recurrece problems occur i models. Some of these recurrece relatios ca be solved usig iteratio or some other ad

More information

Overview on S-Box Design Principles

Overview on S-Box Design Principles Overview o S-Box Desig Priciples Debdeep Mukhopadhyay Assistat Professor Departmet of Computer Sciece ad Egieerig Idia Istitute of Techology Kharagpur INDIA -721302 What is a S-Box? S-Boxes are Boolea

More information

Properties of MLE: consistency, asymptotic normality. Fisher information.

Properties of MLE: consistency, asymptotic normality. Fisher information. Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout

More information

Series solution for continuous population models for single and interacting species by the homotopy analysis method

Series solution for continuous population models for single and interacting species by the homotopy analysis method Available online at www.ispacs.com/cna Volume 2012, Year 2012 Article ID cna-00106, 21 pages doi:10.5899/2012/cna-00106 Research Article Series solution for continuous population models for single and

More information

A panel data approach for fashion sales forecasting

A panel data approach for fashion sales forecasting A pael daa approach for fashio sales forecasig Shuyu Re(shuyu_shara@live.c), Tsa-Mig Choi, Na Liu Busiess Divisio, Isiue of Texiles ad Clohig, The Hog Kog Polyechic Uiversiy, Hug Hom, Kowloo, Hog Kog Absrac:

More information

Wavelet Transform of Fractional Integrals for Integrable Boehmians

Wavelet Transform of Fractional Integrals for Integrable Boehmians Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 932-9466 Vol. 5, Issue (Jue 200) pp. 0 (Previously, Vol. 5, No. ) Applicaios ad Applied Mahemaics: A Ieraioal Joural (AAM) Wavele Trasorm o Fracioal

More information

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 57, NO. 6, JUNE 22 553 Disribued Coaime Corol wih Muliple Dyamic Leaders for Double-Iegraor Dyamics Usig Oly Posiio Measuremes Jiazhe Li, Wei Re, Member, IEEE,

More information

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins)

cooking trajectory boiling water B (t) microwave 0 2 4 6 8 101214161820 time t (mins) Alligaor egg wih calculus We have a large alligaor egg jus ou of he fridge (1 ) which we need o hea o 9. Now here are wo accepable mehods for heaing alligaor eggs, one is o immerse hem in boiling waer

More information

Convexity, Inequalities, and Norms

Convexity, Inequalities, and Norms Covexity, Iequalities, ad Norms Covex Fuctios You are probably familiar with the otio of cocavity of fuctios. Give a twicedifferetiable fuctio ϕ: R R, We say that ϕ is covex (or cocave up) if ϕ (x) 0 for

More information

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required.

S. Tanny MAT 344 Spring 1999. be the minimum number of moves required. S. Tay MAT 344 Sprig 999 Recurrece Relatios Tower of Haoi Let T be the miimum umber of moves required. T 0 = 0, T = 7 Iitial Coditios * T = T + $ T is a sequece (f. o itegers). Solve for T? * is a recurrece,

More information

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval

More information

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is

Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is 0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values

More information

9. Capacitor and Resistor Circuits

9. Capacitor and Resistor Circuits ElecronicsLab9.nb 1 9. Capacior and Resisor Circuis Inroducion hus far we have consider resisors in various combinaions wih a power supply or baery which provide a consan volage source or direc curren

More information

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return EVALUATING ALTERNATIVE CAPITAL INVESTMENT PROGRAMS By Ke D. Duft, Extesio Ecoomist I the March 98 issue of this publicatio we reviewed the procedure by which a capital ivestmet project was assessed. The

More information

Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:

Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows: Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network

More information

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ).

1.- L a m e j o r o p c ió n e s c l o na r e l d i s co ( s e e x p li c a r á d es p u é s ). PROCEDIMIENTO DE RECUPERACION Y COPIAS DE SEGURIDAD DEL CORTAFUEGOS LINUX P ar a p od e r re c u p e ra r nu e s t r o c o rt a f u e go s an t e un d es a s t r e ( r ot u r a d e l di s c o o d e l a

More information

Department of Computer Science, University of Otago

Department of Computer Science, University of Otago Departmet of Computer Sciece, Uiversity of Otago Techical Report OUCS-2006-09 Permutatios Cotaiig May Patters Authors: M.H. Albert Departmet of Computer Sciece, Uiversity of Otago Micah Colema, Rya Fly

More information

Solving Logarithms and Exponential Equations

Solving Logarithms and Exponential Equations Solvig Logarithms ad Epoetial Equatios Logarithmic Equatios There are two major ideas required whe solvig Logarithmic Equatios. The first is the Defiitio of a Logarithm. You may recall from a earlier topic:

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

Derivative Securities: Lecture 7 Further applications of Black-Scholes and Arbitrage Pricing Theory. Sources: J. Hull Avellaneda and Laurence

Derivative Securities: Lecture 7 Further applications of Black-Scholes and Arbitrage Pricing Theory. Sources: J. Hull Avellaneda and Laurence Deivaive ecuiies: Lecue 7 uhe applicaios o Black-choles ad Abiage Picig heoy ouces: J. Hull Avellaeda ad Lauece Black s omula omeimes is easie o hik i ems o owad pices. Recallig ha i Black-choles imilaly

More information

Ranking Optimization with Constraints

Ranking Optimization with Constraints Rakig Opimizaio wih Cosrais Fagzhao Wu, Ju Xu, Hag Li, Xi Jiag Tsighua Naioal Laboraory for Iformaio Sciece ad Techology, Deparme of Elecroic Egieerig, Tsighua Uiversiy, Beijig, Chia Noah s Ark Lab, Huawei

More information

GOAL PROGRAMMING BASED MASTER PLAN FOR CYCLICAL NURSE SCHEDULING

GOAL PROGRAMMING BASED MASTER PLAN FOR CYCLICAL NURSE SCHEDULING Joural of Theoretical ad Applied Iforatio Techology 5 th Deceber 202. Vol. 46 No. 2005-202 JATIT & LLS. All rights reserved. ISSN: 992-8645 www.jatit.org E-ISSN: 87-395 GOAL PROGRAMMING BASED MASTER PLAN

More information

CHAPTER 4: NET PRESENT VALUE

CHAPTER 4: NET PRESENT VALUE EMBA 807 Corporate Fiace Dr. Rodey Boehe CHAPTER 4: NET PRESENT VALUE (Assiged probles are, 2, 7, 8,, 6, 23, 25, 28, 29, 3, 33, 36, 4, 42, 46, 50, ad 52) The title of this chapter ay be Net Preset Value,

More information

Newton s Laws of Motion

Newton s Laws of Motion Newon s Laws of Moion MS4414 Theoreical Mechanics Firs Law velociy. In he absence of exernal forces, a body moves in a sraigh line wih consan F = 0 = v = cons. Khan Academy Newon I. Second Law body. The

More information

Studies in sport sciences have addressed a wide

Studies in sport sciences have addressed a wide REVIEW ARTICLE TRENDS i Spor Scieces 014; 1(1: 19-5. ISSN 99-9590 The eed o repor effec size esimaes revisied. A overview of some recommeded measures of effec size MACIEJ TOMCZAK 1, EWA TOMCZAK Rece years

More information

New exact solutions for the combined sinh-cosh-gordon equation

New exact solutions for the combined sinh-cosh-gordon equation Sociedad Colobiaa de Mateáticas XV Cogreso Nacioal de Mateáticas 2005 Aputes Lecturas Mateáticas Volue Especial (2006), págias 87 93 New exact solutios for the cobied sih-cosh-gordo equatio César A. Góez

More information

CHAPTER 3 DIGITAL CODING OF SIGNALS

CHAPTER 3 DIGITAL CODING OF SIGNALS CHAPTER 3 DIGITAL CODING OF SIGNALS Computers are ofte used to automate the recordig of measuremets. The trasducers ad sigal coditioig circuits produce a voltage sigal that is proportioal to a quatity

More information

Homotopy Perturbation Method for Solving Partial Differential Equations with Variable Coefficients

Homotopy Perturbation Method for Solving Partial Differential Equations with Variable Coefficients Int. J. Contemp. Math. Sciences, Vol. 3, 2008, no. 28, 1395-1407 Homotopy Perturbation Method for Solving Partial Differential Equations with Variable Coefficients Lin Jin Modern Educational Technology

More information

Chatpun Khamyat Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand ocpky@hotmail.com

Chatpun Khamyat Department of Industrial Engineering, Kasetsart University, Bangkok, Thailand ocpky@hotmail.com SOLVING THE OIL DELIVERY TRUCKS ROUTING PROBLEM WITH MODIFY MULTI-TRAVELING SALESMAN PROBLEM APPROACH CASE STUDY: THE SME'S OIL LOGISTIC COMPANY IN BANGKOK THAILAND Chatpu Khamyat Departmet of Idustrial

More information

Transient Vibration of the single degree of freedom systems.

Transient Vibration of the single degree of freedom systems. Trasiet Vibratio of the sigle degree of freedo systes. 1. -INTRODUCTION. Trasiet vibratio is defied as a teporarily sustaied vibratio of a echaical syste. It ay cosist of forced or free vibratios, or both

More information

Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find

Approximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find 1.8 Approximatig Area uder a curve with rectagles 1.6 To fid the area uder a curve we approximate the area usig rectagles ad the use limits to fid 1.4 the area. Example 1 Suppose we wat to estimate 1.

More information

hp calculators HP 12C Statistics - average and standard deviation Average and standard deviation concepts HP12C average and standard deviation

hp calculators HP 12C Statistics - average and standard deviation Average and standard deviation concepts HP12C average and standard deviation HP 1C Statistics - average ad stadard deviatio Average ad stadard deviatio cocepts HP1C average ad stadard deviatio Practice calculatig averages ad stadard deviatios with oe or two variables HP 1C Statistics

More information

COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS

COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S 2 CONTROL CHART FOR THE CHANGES IN A PROCESS COMPARISON OF THE EFFICIENCY OF S-CONTROL CHART AND EWMA-S CONTROL CHART FOR THE CHANGES IN A PROCESS Supraee Lisawadi Departmet of Mathematics ad Statistics, Faculty of Sciece ad Techoology, Thammasat

More information

76 SYSTEMICS, CYBERNETICS AND INFORMATICS VOLUME 9 - NUMBER 1 - YEAR 2011 ISSN: 1690-4524

76 SYSTEMICS, CYBERNETICS AND INFORMATICS VOLUME 9 - NUMBER 1 - YEAR 2011 ISSN: 1690-4524 The Fuzzy ad Compartmet System Cocept for the Commuicatio System takig accout of the Hadicapped situatio M asahiroaruga DepartmetofHuma ad Iformatio Sciece,School ofiformatio Sciecead Techology,TokaiUiversity

More information

Partial Di erential Equations

Partial Di erential Equations Partial Di eretial Equatios Partial Di eretial Equatios Much of moder sciece, egieerig, ad mathematics is based o the study of partial di eretial equatios, where a partial di eretial equatio is a equatio

More information

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides 7 Laplace ransform. Solving linear ODE wih piecewise coninuous righ hand sides In his lecure I will show how o apply he Laplace ransform o he ODE Ly = f wih piecewise coninuous f. Definiion. A funcion

More information

Building Blocks Problem Related to Harmonic Series

Building Blocks Problem Related to Harmonic Series TMME, vol3, o, p.76 Buildig Blocks Problem Related to Harmoic Series Yutaka Nishiyama Osaka Uiversity of Ecoomics, Japa Abstract: I this discussio I give a eplaatio of the divergece ad covergece of ifiite

More information

Solving Higher Dimensional Initial Boundary Value Problems by Variational Iteration Decomposition Method

Solving Higher Dimensional Initial Boundary Value Problems by Variational Iteration Decomposition Method Availabl a hp://pvam.d/aam Appl. Appl. Mah. ISSN: 9-94 Vol. No. Dcmbr 8 pp. 54 Applicaios ad Applid Mahmaics: A Iraioal Joral AAM Solvig Highr Dimsioal Iiial Bodar Val Problms b Variaioal Iraio Dcomposiio

More information

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer) Mahemaics in Pharmacokineics Wha and Why (A second aemp o make i clearer) We have used equaions for concenraion () as a funcion of ime (). We will coninue o use hese equaions since he plasma concenraions

More information

APPLICATIONS OF GEOMETRIC

APPLICATIONS OF GEOMETRIC APPLICATIONS OF GEOMETRIC SEQUENCES AND SERIES TO FINANCIAL MATHS The mos powerful force i he world is compoud ieres (Alber Eisei) Page of 52 Fiacial Mahs Coes Loas ad ivesmes - erms ad examples... 3 Derivaio

More information

Research Article Solitary Wave Solutions for a Time-Fraction Generalized Hirota-Satsuma Coupled KdV Equation by a New Analytical Technique

Research Article Solitary Wave Solutions for a Time-Fraction Generalized Hirota-Satsuma Coupled KdV Equation by a New Analytical Technique Hindawi Publishing Corporaion Inernaional Journal of Differenial Equaions Volume, Aricle ID 954674, pages doi:.55//954674 Research Aricle Soliary Wave Soluions for a Time-Fracion Generalized Hiroa-Sasuma

More information

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling

Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling Behavior Analysis of a Biscui Making lan using Markov Regeneraive Modeling arvinder Singh & Aul oyal Deparmen of Mechanical Engineering, Lala Lajpa Rai Insiue of Engineering & Technology, Moga -, India

More information

Mortality Variance of the Present Value (PV) of Future Annuity Payments

Mortality Variance of the Present Value (PV) of Future Annuity Payments Morali Variance of he Presen Value (PV) of Fuure Annui Pamens Frank Y. Kang, Ph.D. Research Anals a Frank Russell Compan Absrac The variance of he presen value of fuure annui pamens plas an imporan role

More information

Modified Line Search Method for Global Optimization

Modified Line Search Method for Global Optimization Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o

More information

Telecomunicazione. A Priority-Aware Protection Technique for QoS Enabled WDM Networks

Telecomunicazione. A Priority-Aware Protection Technique for QoS Enabled WDM Networks Uiversità di Bergamo Facoltà di Igegeria dell Iformazioe e etodi atematici La Protezioe elle Reti di Telecomuicazioe A Priority-Aware Protectio Techique for QoS Eabled WD etworks Fabio artigo Sommario

More information

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity

More information

The Stable Marriage Problem

The Stable Marriage Problem The Stable Marriage Problem William Hut Lae Departmet of Computer Sciece ad Electrical Egieerig, West Virgiia Uiversity, Morgatow, WV William.Hut@mail.wvu.edu 1 Itroductio Imagie you are a matchmaker,

More information

Semiconductor Devices

Semiconductor Devices emicoductor evices Prof. Zbigiew Lisik epartmet of emicoductor ad Optoelectroics evices room: 116 e-mail: zbigiew.lisik@p.lodz.pl Uipolar devices IFE T&C JFET Trasistor Uipolar evices - Trasistors asic

More information

UNIT ROOTS Herman J. Bierens 1 Pennsylvania State University (October 30, 2007)

UNIT ROOTS Herman J. Bierens 1 Pennsylvania State University (October 30, 2007) UNIT ROOTS Herma J. Bieres Pesylvaia Sae Uiversiy (Ocober 30, 2007). Iroducio I his chaper I will explai he wo mos frequely applied ypes of ui roo ess, amely he Augmeed Dickey-Fuller ess [see Fuller (996),

More information

Basic Elements of Arithmetic Sequences and Series

Basic Elements of Arithmetic Sequences and Series MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic

More information

Estimating Non-Maturity Deposits

Estimating Non-Maturity Deposits Proceedigs of he 9h WSEAS Ieraioal Coferece o SIMULATION, MODELLING AND OPTIMIZATION Esimaig No-Mauriy Deposis ELENA CORINA CIPU Uiversiy Poliehica Buchares Faculy of Applied Scieces Deparme of Mahemaics,

More information

Transient Analysis of First Order RC and RL circuits

Transient Analysis of First Order RC and RL circuits Transien Analysis of Firs Order and iruis The irui shown on Figure 1 wih he swih open is haraerized by a pariular operaing ondiion. Sine he swih is open, no urren flows in he irui (i=0) and v=0. The volage

More information

Investigation of Atwood s machines as Series and Parallel networks

Investigation of Atwood s machines as Series and Parallel networks Ivestiatio of Atwood s achies as Series ad Parallel etworks Jafari Matehkolaee, Mehdi; Bavad, Air Ahad Islaic Azad uiversity of Shahrood, Shahid Beheshti hih school i Sari, Mazadara, Ira ehdisaraviaria@yahoo.co

More information

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur Module 4 Single-phase A circuis ersion EE T, Kharagpur esson 5 Soluion of urren in A Series and Parallel ircuis ersion EE T, Kharagpur n he las lesson, wo poins were described:. How o solve for he impedance,

More information

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. Powers of a matrix We begi with a propositio which illustrates the usefuless of the diagoalizatio. Recall that a square matrix A is diogaalizable if

More information

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. This documet was writte ad copyrighted by Paul Dawkis. Use of this documet ad its olie versio is govered by the Terms ad Coditios of Use located at http://tutorial.math.lamar.edu/terms.asp. The olie versio

More information

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients

BINOMIAL EXPANSIONS 12.5. In this section. Some Examples. Obtaining the Coefficients 652 (12-26) Chapter 12 Sequeces ad Series 12.5 BINOMIAL EXPANSIONS I this sectio Some Examples Otaiig the Coefficiets The Biomial Theorem I Chapter 5 you leared how to square a iomial. I this sectio you

More information

Forward and Flyback (Converters with isolation)

Forward and Flyback (Converters with isolation) Prf.. Be-Yaakv, - verers [4- ] Frward ad Flyback (verers wih islai) 4. Trasfer f curre via rasfrmer 4. Frward 4.. lage rasfer fuci 4.. Mageizai iducace prblem 4..3 Trasfrmer rese 4..4 ese f frward 4.3

More information

Introduction to Statistical Analysis of Time Series Richard A. Davis Department of Statistics

Introduction to Statistical Analysis of Time Series Richard A. Davis Department of Statistics Iroduio o Saisial Aalysis of Time Series Rihard A. Davis Deparme of Saisis Oulie Modelig obeives i ime series Geeral feaures of eologial/eviromeal ime series Compoes of a ime series Frequey domai aalysis-he

More information

Acceleration Lab Teacher s Guide

Acceleration Lab Teacher s Guide Acceleraion Lab Teacher s Guide Objecives:. Use graphs of disance vs. ime and velociy vs. ime o find acceleraion of a oy car.. Observe he relaionship beween he angle of an inclined plane and he acceleraion

More information

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem

Lecture 4: Cauchy sequences, Bolzano-Weierstrass, and the Squeeze theorem Lecture 4: Cauchy sequeces, Bolzao-Weierstrass, ad the Squeeze theorem The purpose of this lecture is more modest tha the previous oes. It is to state certai coditios uder which we are guarateed that limits

More information

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling Name: Algebra II Review for Quiz #13 Exponenial and Logarihmic Funcions including Modeling TOPICS: -Solving Exponenial Equaions (The Mehod of Common Bases) -Solving Exponenial Equaions (Using Logarihms)

More information

The Gompertz Makeham coupling as a Dynamic Life Table. Abraham Zaks. Technion I.I.T. Haifa ISRAEL. Abstract

The Gompertz Makeham coupling as a Dynamic Life Table. Abraham Zaks. Technion I.I.T. Haifa ISRAEL. Abstract The Gompertz Makeham couplig as a Dyamic Life Table By Abraham Zaks Techio I.I.T. Haifa ISRAEL Departmet of Mathematics, Techio - Israel Istitute of Techology, 32000, Haifa, Israel Abstract A very famous

More information

Chapter 7. Response of First-Order RL and RC Circuits

Chapter 7. Response of First-Order RL and RC Circuits Chaper 7. esponse of Firs-Order L and C Circuis 7.1. The Naural esponse of an L Circui 7.2. The Naural esponse of an C Circui 7.3. The ep esponse of L and C Circuis 7.4. A General oluion for ep and Naural

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

Section 8.3 : De Moivre s Theorem and Applications

Section 8.3 : De Moivre s Theorem and Applications The Sectio 8 : De Moivre s Theorem ad Applicatios Let z 1 ad z be complex umbers, where z 1 = r 1, z = r, arg(z 1 ) = θ 1, arg(z ) = θ z 1 = r 1 (cos θ 1 + i si θ 1 ) z = r (cos θ + i si θ ) ad z 1 z =

More information

Granger Causality Analysis in Irregular Time Series

Granger Causality Analysis in Irregular Time Series Grager Causaliy Aalysis i Irregular Time Series Mohammad Taha Bahadori Ya Liu Absrac Learig emporal causal srucures bewee ime series is oe of he key ools for aalyzig ime series daa. I may real-world applicaios,

More information

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction

THE ARITHMETIC OF INTEGERS. - multiplication, exponentiation, division, addition, and subtraction THE ARITHMETIC OF INTEGERS - multiplicatio, expoetiatio, divisio, additio, ad subtractio What to do ad what ot to do. THE INTEGERS Recall that a iteger is oe of the whole umbers, which may be either positive,

More information

Systems Design Project: Indoor Location of Wireless Devices

Systems Design Project: Indoor Location of Wireless Devices Systems Desig Project: Idoor Locatio of Wireless Devices Prepared By: Bria Murphy Seior Systems Sciece ad Egieerig Washigto Uiversity i St. Louis Phoe: (805) 698-5295 Email: bcm1@cec.wustl.edu Supervised

More information