A New Modification of the Differential Transform Method for a SIRC Influenza Model
|
|
- Ashley Warren
- 5 years ago
- Views:
Transcription
1 A ew odificatio of the Differetial Traform ethod for a SIRC Iflueza odel S.F..IBRAHI -Kig Abdulaziz Uiverity Faculty of ciece For orth Jeddah Dept. of athematic Jeddah Saudi Arabia. -Ai Sham Uiverity Faculty of Educatio Departmet of athematic Roxy Cairo Egypt. S.. ISAIL ir Uiverity For Sciece &Techology Faculty of Egieerig Dept. of Baic ciece 6Th of October City Egypt. ABSTRACT I thi paper approximate aalytical olutio of SIRC model aociated with the evolutio of iflueza A dieae i huma populatio i acquired by the modified differetial traform method (DT). The differetial traform method (DT) i metioed i ummary. DT ca be obtaied from DT applied to Laplace ivere Laplace traform ad padé approximat. The DT i ued to icreae the accuracy ad accelerate the covergece rate of trucated erie olutio gettig by the DT. The aalytical-umerical techique ca be ued i order to produce imulatio with differet iitial coditio parameter value for differet value of the baic reproductio umber. Geeral Term Cro-immuity SIR model Laplace traform Iflueza Differetial traformatio method Keyword SIRC model Epidemic model odified Differetial traformatio method padé approximat.. ITRODUCTIO Iflueza i caued by a viru that attac maily the upper repiratory tract oe throat ad brochi ad rarely alo the lug. ay people recover withi - wee without requirig ay medical treatmet. I the very youg the elderly ad people ufferig from medical coditio uch a lug dieae diabete cacer idey or heart problem iflueza poe a eriou ri. I thee people the ifectio may lead to evere complicatio of uderlyig dieae peumoia ad death. I aual iflueza epidemic 5-5% of the populatio are affected with upper repiratory tract ifectio. Hopitalizatio ad death maily occur i high ri group (elderly chroically ill). Aual epidemic are poibly betwee three ad five millio cae of evere ille ad betwee ad death every year aroud the world. Iflueza i tramitted by a viru that ca be of three differet type amely A B ad C []. Amog thee taype the viru A i epidemiologically the mot importat oe for huma beig becaue it ca recombie it gee with thoe of trai circulatig i aimal populatio uch a bird wie hore etc. Ufortuately withi type a viru there are everal ubtype H H3 H5 etc. each oe of thee ha bee poited a the caual of recet pademic. uch evidece how that the atigeic ditace betwee two differet trai ifluece the degree of partial immuity ofte called cro-immuity coferred to a hot already ifected by oe of the trai with repect to the other[]. athematical model have prove to be ueful tool to tudy the dyamic of viral ifectio withi thee model compartmetal model have bee traformed of ordiary or partial differetial equatio. Over the lat two decade a umber of epidemic model for predictig the pread of iflueza through huma populatio have bee propoed baed o either the claical uceptible-ifected-removed (SIR) model developed by Kermac ad ckedric[3]. Caagradi et al.[] have itroduced SIRC model by addig a ew compartmet C which ca be called cro-immue compartmet to the SIR model. Thi cro-immue compartmet (C) decribe a itermediate tate betwee the fully uceptible (S) ad the fully protected (R)oe. They have tudied the dyamical behavior of thi model umerically [4]. Jodar et al. [5] developed two otadard fiite differece cheme to obtai umerical olutio of a iflueza A dieae model preeted by Caagradi et al.[]. Very recetly Samata[4] coidered a oautoomou SIRC epidemic model for Iflueza A with varyig total populatio ize ad ditributed time delay. Thi model aume o immue iterferece betwee the differet A viru ubtype that i why they oly coidered oe viru ubtype. I thi paper the modified differetial traform method (DT) ha bee applyed will be employed i a traightforward maer without ay eed of liearizatio or malle aumptio. DT wa firt applied i the egieerig domai by [6]. DT provide a efficiet explicit ad umerical olutio with high accuracy miimal calculatio parig of phyically urealitic aumptio. However DT ha ome drawbac. By uig DT a erie olutio which i obtaied i practice a trucated erie olutio. Thi erie olutio doe ot exhibit the periodic behavior which i characteritic of ocillator equatio ad give a good approximatio to the true olutio i a very mall regio. I order to develop the accuracy of DT a alterative techique i ued which modifie the erie olutio for oliear ocillatory ytem a follow: firt apply the Laplace traformatio to the trucated erie obtaied by DT the covert the traformed erie ito a meromorphic fuctio by formig it Padé approximat([7][8][9][0][]) ad fially accept a ivere Laplace traform to obtai a aalytic olutio which may be periodic or a better approximatio olutio tha the DT trucated erie olutio.. The SIRC ODEL Caagradi et al. [] coidered the model ds S C SI dt () 8
2 di dt SI SI I dr CI I R dt dc dt R CI C With iitial coditio () (3) (4) S 0 I 0 R 0 C 0. Where μ i the mortality rate 3 4 θ i the rate of progreio from ifective to recovered per year δ i the rate of progreio from recovered to cro-immue per year γ i the rate of progreio from recovered to uceptible per year σ i the recruitmet rate of cro-immue ito the ifective β i the cotact rate per year. The dieae free equilibrium i locally aymptotically table if ad oly if ad utable if. There exit a uique ad poitive edemic equilibrium poit if ad oly if (β/(μ+θ))> which i locally aymptotically table uder ome coditio o the coefficiet[] 3. PADÉ APPROXIATIOS Some techique exit to icreae the covergece of a give erie. Amog them the o- called padé techique i widely applied i thi ectio the otio of ratioal approximatio i itroduced for fuctio. The fuctio f(x) will be approximated over a mall portio of it domai. For example if f(x)=co(x) it i ufficiet to have a formula to geerate approximatio o the iterval [0π/]. The trigoometric idetitie ca be ued to compute co(x) for ay value x that lie outide [0π/]. A ratioal approximatio to P x f(x) o [ab] i the quotiet of two polyomial ad Q x of degree ad repectively. The otatio [/] (x) ca be ued to deote thi quotiet: / P x x for a x b Q x. (5) Our goal i to mae the maximum error a mall a poible. For a give amout of computatioal effort oe ca uually cotruct a ratioal approximatio that ha a maller overall error o [ab] tha a polyomial approximatio. The developmet i a itroductio ad will be limited to Padé approximatio. The method of Padé require that f(x) ad it derivative be cotiuou at x=0. There are two reao for the arbitrary choice of x=0. Firt it mae the maipulatio impler. Secod a chage of variable ca be ued to hift the calculatio over to a iterval that cotai zero. The polyomial ued i Eq. (5) are P x p p x p x p x Ad 0... Q x q x q x... q x The polyomial i (6) ad (7) are cotructed o that f(x) ad [/] (x) agree at x=0 ad their derivative up to + agree at x=0. I the cae Q₀ (x) = the approximatio i ut the aclauri expaio for f(x). For a fixed value of + P x Q the error i mallet whe ad x have the P x ame degree or whe ha degree oe higher tha Q x Q. otice that the cotat coefficiet of i q₀ =. Thi i permiible becaue it caot be 0 ad [/] (x) i ot chaged whe both (6) (7) P x Q ad x are divided by the ame cotat. Hece the ratioal fuctio [/](x) ha ++ uow coefficiet. Aume that f(x) i aalytic ad ha the aclauri expaio f x a0 ax a x... a x... Ad form the differece : f x Q x P x z x (8) a x q x p x c x (9) The lower idex =++ i the ummatio o the right ide of (9) i choe becaue the firt + derivative of f(x) ad [/](x) are to agree at x=0. Whe the left ide of (9) i multiplied out ad the coefficiet of the power of x are et equal to zero for = the reult i a ytem of ++ liear equatio: a p q a a p 0 0 q a q a a p 0 0 q a q a q a a p q a q a... a p 0 Ad 0 9
3 q a q a... q a a 0 q a q a... q a a 0 3 q a q a... q a a 0 otice that i each equatio the um of the ubcript o the factor of each product i the ame ad thi um icreae coecutively from 0 to +. The equatio i () q q... q ad mut be olved ivolve oly the uow firt. The the equatio i (0) are ued ucceively to fid P0 p... p 4. BASIC DEFIITIOS OF DIFFERETIAL TRASFORATIO ETHOD Puhov [3] propoed the cocept of differetial traformatio where the image of a traformed fuctio i computed by differetial operatio which i differet from the traditioal itegral traform a are Laplace ad Fourier. Thu thi method become a umerical-aalytic techique that formalize the Taylor erie i a totally differet maer. Differetial traformatio i a computatioal method that ca be ued to olve liear (or o-liear) ordiary (or partial) differetial equatio with their correpodig boudary coditio. A pioeer uig thi method to olve iitial value problem i Zhou [6] who itroduced it i a tudy of electrical circuit. Additioally differetial traformatio ha bee applied to olve a variety of problem that are modeled with differetial equatio ([4][5][6][7]) The method coit of give ytem of differetial equatio ad related iitial coditio; thee are traformed ito a ytem of recurrece equatio that fially lead to a ytem of algebraic equatio whoe olutio are the coefficiet of a power erie olutio. For the ae of clarity i the preetatio of the DT ad i order to help to the reader we ummarize the mai iue of the method that may be foud i [6]. Defiitio 4. A differetial traformatio Y() of fuctio y (x) i defied a follow [8] Y d y x! dx x 0 () I () y(x) i the Origial fuctio ad Y() i the traformed fuctio. Differetial ivere traform of Y() i defied a follow y x x Y (3) 0 I fact. From () ad (3) we obtai y x x d y x 0! dx (4) x 0 Equatio (4) implie that the cocept of differetial traformatio i derived from the Taylor erie expaio. From Equatio () ad (3) it i eay to obtai the followig mathematical operatio:. If y x g x h x the Y G H.. If y x cg x the Y cg cotat. 3. If y x d g x the dx Y G.! 4. If y x g x h x the. Y G l H l y x l 0 x 5. If the Y 0 Kroecer delta. 6. If y x u x v x w x δ i the the c i a. Y U V m W m 0 m 0 4.THE OPERATIO PROPERTIES OF DIFFERETIAL TRASFORATIO If x (t) ad y (t) are two ucorrelated fuctio with time t where X () ad Y(K) are the traformed fuctio correpodig to x(t) ad y(t) the the fudametal mathematic operatio ca be proved by differetial Traformatio ad are lited a follow [6]:() Liearity. If Y D y t X D x t ad c are idepedet of t ad the ad c D c x t c y t c X c Y (5) Thu if c i a cotat The D[ c] c where i the roecer delta fuctio. () Covolutio. if z t x t y t x t D X y t D Y ad deote the covolutio ad Symbol D deotig the differetial traformatio proce. The 0
4 l 0 D x t y t D z t X Y x l Y l (6) If y x y x y x y x y x... the 3... Y Y 0... Y Y Y (7) The proof of above propertie i deduced from the defiitio of the differetial traform 5. APPLICATIO OF THE SIRC IFlUEZA ODEL I thi ectio the differetial traformatio techique i applied to olve oliear differetial equatio ytem uch a SIRC iflueza model. The followig recurrece relatio to the SIRC iflueza model i obtaied By uig the fudametal operatio of differetial traformatio method. Applyig thi method the ytem i equatio ()-(4) ca be writte a follow: S S S l I l C l 0 (8) I S l I l C l I l I l0 l0 (9) R C l I l I R l 0 (0) C R C l I l C l 0 () with S 0 I 0 R 0 3 C 0 4. () Are differetial traform of repectively. S t I t R t C t Thu from a proce of ivere differetial traformatio it ca be obtaied the olutio i the power erie S t S t I t I t R t C t C t C t (3) Therefore 4 S t t t 4 4 I t t 4 4 t R t t t C t t t UERICAL ETHODS AD SIULATIOS I thi ectio the umerical reult are obtaied baed o the applicatio of the (DT) to SIRC iflueza model. Sice mot of the o-liear differetial equatio do ot have exact aalytic olutio o approximatio ad umerical techique mut be ued. 6. Dieae free equilibrium (R₀=(β/(μ+θ))<) For umerical tudy (for R₀ <) the followig parameter ca be ued a folow:
5 populatio uceptible / 50 y 73 y y 0.5 y Thi wa doe with the tadard parameter value give above ad iitial value ₁ =0.8 ₂ =0. ₃ =0.04 ₄ =0.06. Thee value correpod to table i []. By taig differetial traform method to iitial coditio i traformed a follow: S I R C Ad from equatio (8)-() The olutio erie ca be eaily writte a follow : S t S t t t t t 346. t 5877 t t (4) t.9550 t I t I t t t t t 877. t.660 t t t t R t R t t t t t 73.8t.3640 t t t t... C t C t t t t 7.98t 79.85t 4.9t t.7380 t t... I thi ectio Laplace traformatio i applied to (4) which yield L S t L I t (5) L R t L C t For implicity replacig = (/t) L S t t t t t t 4.30 t t t t t... L I t t t t t 8533t t t t t t... L R t t t t t t t (6) t t t t... L C t t 0.9t 9.06t t 683.5t t t t t t... t padé approximat [4/4] of (6) ad ubtitutig ca be obtaied [4/4] i term of S. Fially by uig the ivere Laplace traformatio the modified approximate olutio ca be expreed a: S t t t 0.057e e e 0.358e i i t it i e 7.98t 99.66t t I t e e e t i i t t.0303t R t 0.38e e e 6.080it i e t t 3.834t t C t e e e e Figure: S(t)for μ=0.0β=50δ=γ=0.5σ=0.05θ=73
6 Cro immuepopulatio populatio Recovered Ifected populatio Figure:I(t)for μ=0.0β=50δ=γ=0.5σ=0.05θ= S t S t t t t t 9906t t t t t I t I t t t t t t t t t t R t R t t t t t t t t t t... 0 C t C t t t t 7.35t 848.7t t t t t... (7) Figure3:R(t)forμ=0.0β=50δ=γ=0.5σ=0.05θ= Figure4:C(t)forμ=0.0β=50δ=γ=0.5σ=0.05θ=73 6. Edemic equilibrium R I thi ectio to illutrate the capability of the DT the variable ad parameter are coidered a follow: / 50 y 73 y y 0.5 y Thi wa doe with the tadard parameter value give above ad iitial value ₁=0.8 ₂=0. ₃=0.04 ₄=0.06. Thee value correpod to table i []. For the fourcompoet model. A approximatio for S(t) I(t)R(t)C(t) the olutio ca be eaily writte a: I thi ectio Laplace traformatio i applied to the erie olutio i (7)which yield L S t L I t (8) L R t L C t For implicity replacig = (/t) 3
7 Cro immuepopulatio populatio Rcovered Ifected populatio populatio uceptible L S t t t t t 3300t 38830t t t t t... L I t t t t t 4458t t t t t t... L R t t t t t 94.5t t (9) t t t.7980 t... L C t t t t t 733.t.4840 t t t t t... padé approximat [4/4] i applied of (9) ad ubtitutig t padé approximat [4/4] i obtaied i term of S. Fially by uig the ivere Laplace traformatio the modified approximate olutio ca be expreed a: S t t e e 8.700t e i t i t i i e I t e 9.903it i i e e i t R t e i t it t e i i t e i i i e e it t i e i t i e t C t e e e t i t i i e it Figure5:S(t)for μ=0.0β=00δ=γ=0.5σ=0.05θ=73] Figure6:I(t)for μ=0.0β=00δ=γ=0.5σ=0.05θ=73] Figure7:R(t)for μ=0.0β=00δ=γ=0.5σ=0.05θ=73] Figure8:C(t)forμ=0.0β=00δ=γ=0.5σ=0.05θ=73] 7. COCLUSIOS I thi paper the modified differetial traform method ha bee ued to obtai approximate aalytical olutio of oliear ordiary differetial equatio ytem uch a SIRC dyamical model. The accuracy ad efficiecy of thi method wa demotrated by olvig SIRC iflueza model. Laplace traformatio ad padé approximat are ued to obtai aalytic olutio ad to improve the accuracy of differetial traform method. The modified DT i a efficiet method for calculatig periodic olutio of oliear differetial equatio ytem. The advatage of the method i that the approximate olutio ca be calculated eaily i horter time with the computer program uch a atlap ad mathematica moreover thi method olve the problem without ay eed for dicretizatio perturbatio or liearizatio of the 4
8 variable. The computatio ad graph aociated with the example i thi paper were performed uig athematica ver ACKOWLEDGETS The author tha referee for fruitful commet ad uggetio for reviig the maucript. 9. REFERECES [] Palee P. ad Youg J. 98. Variatio of iflueza A B ad C virue. (Sciece 5) [] Caagradi R. Bolzoi L. Levi S.A. ad Adreae V The SIRC model ad iflueza A ath. Bioci. (00) [3] Kermac W. O. ad ckedric A. G. 97. Cotributio to the mathematical theory of epidemic Part I Proc. Roy. Sot. Ser. A [4] Samata G. P. 00. Global Dyamic of a oautoomou SIRC odel for Iflueza A with Ditributed Time Delay Differ Equ Dy Syt [5] Jodar L. Villaueva R. J. Area A. J. ad Goz alez G. C otadard umerical method for a mathematical model for iflueza dieae athematic ad Computer i Simulatio (79 ) [6] Zhou J. K Differetial Traform ad it Applicatio for Electrical CircuitWuha Huarug Uiverity Pre. [7] Baer G. A Eetial of padé approximat. Lodo: Academic pre;. [8] Chag S. H. ad Chag I. L. 008 A ew algorithm for calculatig oe-dimeioal differetial traform of oliear fuctio. Appl ath Comput ;95: [9] Jorda D. W. ad Smith P oliear Ordiary Differetial Equatio. Oxford Uiverity Pre. [0] Dehgha. Shaourifar. ad Hamidi A The olutio of liear ad oliear ytem of Volterra fuctioal equatio uig Adomia.Padé techique. Chao Solito Fract ;39:509-. [] Dehgha. Hamidi A. ad Shaourifar The olutio of coupled Burger equatio uig Adomia.Padé techique. Appl ath Comput ; 89: [] Chiviriyait W umerical modelig of the tramiio dyamic of iflueza The Firt Iter. Symp. o Optim. ad Sy. Biol. pp [3] Puhov G.E Differetial traformatio of fuctio ad equatio. auova Duma Kiev (i Ruia). [4] Che S. S. ad Che C. K. 009 Applicatio of the differetial traformatio method to the free vibratio of trogly o-liear ocillator oliear Aalyi: Real World Applicatio [5] Ye-Liag Yeh Cheg Chi Wag ig-jyi Jag 007. Uig fiite differece ad differetial traformatio method to aalyze of large deflectio of orthotropic rectagular plate problem. Appl. ath. Comput.; 90() [6] Abdel-Hialim Haa I. H. 008 Applicatio to differetial traformatio method for olvig ytem of differetial equatio Appl. ath odellig ; 3() [7] Jag. J. ad Che C. L Aalyi of the repoe of atrogly oliear damped ytem uig a differetial traformatio techique. Appl. ath Comput.; 88(-3): [8] Che Chao-Kuag Ho Shig-Huei Applicatio of differetial traformatio to eigevalue problem. Appl ath Comput ; 79:
Analysis of Analytical and Numerical Methods of Epidemic Models
Iteratioal Joural of Egieerig Reearc ad Geeral Sciece Volue, Iue, Noveber-Deceber, 05 ISSN 09-70 Aalyi of Aalytical ad Nuerical Metod of Epideic Model Pooa Kuari Aitat Profeor, Departet of Mateatic Magad
More informationNumerical Solution of Coupled System of Nonlinear Partial Differential Equations Using Laplace-Adomian Decomposition Method
I S S N 3 4 7-9 V o l u m e N u m b e r 0 8 J o u r a l o f A d v a c e i M a t h e m a t i c Numerical Solutio of Coupled Sytem of Noliear Partial Differetial Equatio Uig Laplace-Adomia Decompoitio Method
More informationu t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall
Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationBrief Review of Linear System Theory
Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed
More informationApplied Mathematical Sciences, Vol. 9, 2015, no. 3, HIKARI Ltd,
Applied Mathematical Sciece Vol 9 5 o 3 7 - HIKARI Ltd wwwm-hiaricom http://dxdoiorg/988/am54884 O Poitive Defiite Solutio of the Noliear Matrix Equatio * A A I Saa'a A Zarea* Mathematical Sciece Departmet
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow
More informationGeneralized Fibonacci Like Sequence Associated with Fibonacci and Lucas Sequences
Turkih Joural of Aalyi ad Number Theory, 4, Vol., No. 6, 33-38 Available olie at http://pub.ciepub.com/tjat//6/9 Sciece ad Educatio Publihig DOI:.69/tjat--6-9 Geeralized Fiboacci Like Sequece Aociated
More informationState space systems analysis
State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with
More informationa 1 = 1 a a a a n n s f() s = Σ log a 1 + a a n log n sup log a n+1 + a n+2 + a n+3 log n sup () s = an /n s s = + t i
0 Dirichlet Serie & Logarithmic Power Serie. Defiitio & Theorem Defiitio.. (Ordiary Dirichlet Serie) Whe,a,,3, are complex umber, we call the followig Ordiary Dirichlet Serie. f() a a a a 3 3 a 4 4 Note
More informationComparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series
Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series
More informationHeat Equation: Maximum Principles
Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace
More informationSTRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM
Joural of Statitic: Advace i Theory ad Applicatio Volume, Number, 9, Page 35-47 STRONG DEVIATION THEORES FOR THE SEQUENCE OF CONTINUOUS RANDO VARIABLES AND THE APPROACH OF LAPLACE TRANSFOR School of athematic
More informationFractional parts and their relations to the values of the Riemann zeta function
Arab. J. Math. (08) 7: 8 http://doi.org/0.007/40065-07-084- Arabia Joural of Mathematic Ibrahim M. Alabdulmohi Fractioal part ad their relatio to the value of the Riema zeta fuctio Received: 4 Jauary 07
More informationExplicit scheme. Fully implicit scheme Notes. Fully implicit scheme Notes. Fully implicit scheme Notes. Notes
Explicit cheme So far coidered a fully explicit cheme to umerically olve the diffuio equatio: T + = ( )T + (T+ + T ) () with = κ ( x) Oly table for < / Thi cheme i ometime referred to a FTCS (forward time
More informationComments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing
Commet o Dicuio Sheet 18 ad Workheet 18 ( 9.5-9.7) A Itroductio to Hypothei Tetig Dicuio Sheet 18 A Itroductio to Hypothei Tetig We have tudied cofidece iterval for a while ow. Thee are method that allow
More informationZeta-reciprocal Extended reciprocal zeta function and an alternate formulation of the Riemann hypothesis By M. Aslam Chaudhry
Zeta-reciprocal Eteded reciprocal zeta fuctio ad a alterate formulatio of the Riema hypothei By. Alam Chaudhry Departmet of athematical Sciece, Kig Fahd Uiverity of Petroleum ad ieral Dhahra 36, Saudi
More informationEULER-MACLAURIN SUM FORMULA AND ITS GENERALIZATIONS AND APPLICATIONS
EULER-MACLAURI SUM FORMULA AD ITS GEERALIZATIOS AD APPLICATIOS Joe Javier Garcia Moreta Graduate tudet of Phyic at the UPV/EHU (Uiverity of Baque coutry) I Solid State Phyic Addre: Practicate Ada y Grijalba
More informationExact Solutions for a Class of Nonlinear Singular Two-Point Boundary Value Problems: The Decomposition Method
Exact Solutios for a Class of Noliear Sigular Two-Poit Boudary Value Problems: The Decompositio Method Abd Elhalim Ebaid Departmet of Mathematics, Faculty of Sciece, Tabuk Uiversity, P O Box 741, Tabuki
More informationSolution of Differential Equation from the Transform Technique
Iteratioal Joural of Computatioal Sciece ad Mathematics ISSN 0974-3189 Volume 3, Number 1 (2011), pp 121-125 Iteratioal Research Publicatio House http://wwwirphousecom Solutio of Differetial Equatio from
More informationModified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations
Noliear Aalysis ad Differetial Equatios, Vol. 5, 27, o. 4, 57-7 HIKARI Ltd, www.m-hikari.com https://doi.org/.2988/ade.27.62 Modified Decompositio Method by Adomia ad Rach for Solvig Noliear Volterra Itegro-
More informationM227 Chapter 9 Section 1 Testing Two Parameters: Means, Variances, Proportions
M7 Chapter 9 Sectio 1 OBJECTIVES Tet two mea with idepedet ample whe populatio variace are kow. Tet two variace with idepedet ample. Tet two mea with idepedet ample whe populatio variace are equal Tet
More informationFig. 1: Streamline coordinates
1 Equatio of Motio i Streamlie Coordiate Ai A. Soi, MIT 2.25 Advaced Fluid Mechaic Euler equatio expree the relatiohip betwee the velocity ad the preure field i ivicid flow. Writte i term of treamlie coordiate,
More informationELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University
ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall
More informationWe are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n
Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at
More informationx z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.
] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio
More informationTaylor polynomial solution of difference equation with constant coefficients via time scales calculus
TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu
More informationLast time: Completed solution to the optimum linear filter in real-time operation
6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443
More informationSOLUTION: The 95% confidence interval for the population mean µ is x ± t 0.025; 49
C22.0103 Sprig 2011 Homework 7 olutio 1. Baed o a ample of 50 x-value havig mea 35.36 ad tadard deviatio 4.26, fid a 95% cofidece iterval for the populatio mea. SOLUTION: The 95% cofidece iterval for the
More informationThe z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j
The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.
More informationAssignment 1 - Solutions. ECSE 420 Parallel Computing Fall November 2, 2014
Aigmet - Solutio ECSE 420 Parallel Computig Fall 204 ovember 2, 204. (%) Decribe briefly the followig term, expoe their caue, ad work-aroud the idutry ha udertake to overcome their coequece: (i) Memory
More informationIntroduction to Control Systems
Itroductio to Cotrol Sytem CLASSIFICATION OF MATHEMATICAL MODELS Icreaig Eae of Aalyi Static Icreaig Realim Dyamic Determiitic Stochatic Lumped Parameter Ditributed Parameter Liear Noliear Cotat Coefficiet
More informationThe Differential Transform Method for Solving Volterra s Population Model
AASCIT Couicatios Volue, Issue 6 Septeber, 15 olie ISSN: 375-383 The Differetial Trasfor Method for Solvig Volterra s Populatio Model Khatereh Tabatabaei Departet of Matheatics, Faculty of Sciece, Kafas
More informationLECTURE 13 SIMULTANEOUS EQUATIONS
NOVEMBER 5, 26 Demad-upply ytem LETURE 3 SIMULTNEOUS EQUTIONS I thi lecture, we dicu edogeeity problem that arie due to imultaeity, i.e. the left-had ide variable ad ome of the right-had ide variable are
More informationZeros of Polynomials
Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree
More informationGeneralized Likelihood Functions and Random Measures
Pure Mathematical Sciece, Vol. 3, 2014, o. 2, 87-95 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/pm.2014.437 Geeralized Likelihood Fuctio ad Radom Meaure Chrito E. Koutzaki Departmet of Mathematic
More informationStability Analysis of the Euler Discretization for SIR Epidemic Model
Stability Aalysis of the Euler Discretizatio for SIR Epidemic Model Agus Suryato Departmet of Mathematics, Faculty of Scieces, Brawijaya Uiversity, Jl Vetera Malag 6545 Idoesia Abstract I this paper we
More information100(1 α)% confidence interval: ( x z ( sample size needed to construct a 100(1 α)% confidence interval with a margin of error of w:
Stat 400, ectio 7. Large Sample Cofidece Iterval ote by Tim Pilachowki a Large-Sample Two-ided Cofidece Iterval for a Populatio Mea ectio 7.1 redux The poit etimate for a populatio mea µ will be a ample
More informationChapter 9. Key Ideas Hypothesis Test (Two Populations)
Chapter 9 Key Idea Hypothei Tet (Two Populatio) Sectio 9-: Overview I Chapter 8, dicuio cetered aroud hypothei tet for the proportio, mea, ad tadard deviatio/variace of a igle populatio. However, ofte
More informationAppendix: The Laplace Transform
Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio
More informationChapter 4. Fourier Series
Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,
More informationLecture 30: Frequency Response of Second-Order Systems
Lecture 3: Frequecy Repoe of Secod-Order Sytem UHTXHQF\ 5HVSRQVH RI 6HFRQGUGHU 6\VWHPV A geeral ecod-order ytem ha a trafer fuctio of the form b + b + b H (. (9.4 a + a + a It ca be table, utable, caual
More information10-716: Advanced Machine Learning Spring Lecture 13: March 5
10-716: Advaced Machie Learig Sprig 019 Lecture 13: March 5 Lecturer: Pradeep Ravikumar Scribe: Charvi Ratogi, Hele Zhou, Nicholay opi Note: Lae template courtey of UC Berkeley EECS dept. Diclaimer: hee
More informationAN APPLICATION OF HYPERHARMONIC NUMBERS IN MATRICES
Hacettepe Joural of Mathematic ad Statitic Volume 4 4 03, 387 393 AN APPLICATION OF HYPERHARMONIC NUMBERS IN MATRICES Mutafa Bahşi ad Süleyma Solak Received 9 : 06 : 0 : Accepted 8 : 0 : 03 Abtract I thi
More informationStatistical Inference Procedures
Statitical Iferece Procedure Cofidece Iterval Hypothei Tet Statitical iferece produce awer to pecific quetio about the populatio of iteret baed o the iformatio i a ample. Iferece procedure mut iclude a
More information3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,
3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [
More informationOn the Signed Domination Number of the Cartesian Product of Two Directed Cycles
Ope Joural of Dicrete Mathematic, 205, 5, 54-64 Publihed Olie July 205 i SciRe http://wwwcirporg/oural/odm http://dxdoiorg/0426/odm2055005 O the Siged Domiatio Number of the Carteia Product of Two Directed
More informationSTUDENT S t-distribution AND CONFIDENCE INTERVALS OF THE MEAN ( )
STUDENT S t-distribution AND CONFIDENCE INTERVALS OF THE MEAN Suppoe that we have a ample of meaured value x1, x, x3,, x of a igle uow quatity. Aumig that the meauremet are draw from a ormal ditributio
More informationStatistics and Chemical Measurements: Quantifying Uncertainty. Normal or Gaussian Distribution The Bell Curve
Statitic ad Chemical Meauremet: Quatifyig Ucertaity The bottom lie: Do we trut our reult? Should we (or ayoe ele)? Why? What i Quality Aurace? What i Quality Cotrol? Normal or Gauia Ditributio The Bell
More informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I liear regreio, we coider the frequecy ditributio of oe variable (Y) at each of everal level of a ecod variable (X). Y i kow a the depedet variable.
More informationOn The Computation Of Weighted Shapley Values For Cooperative TU Games
O he Computatio Of Weighted hapley Value For Cooperative U Game Iriel Draga echical Report 009-0 http://www.uta.edu/math/preprit/ Computatio of Weighted hapley Value O HE COMPUAIO OF WEIGHED HAPLEY VALUE
More informationTESTS OF SIGNIFICANCE
TESTS OF SIGNIFICANCE Seema Jaggi I.A.S.R.I., Library Aveue, New Delhi eema@iari.re.i I applied ivetigatio, oe i ofte itereted i comparig ome characteritic (uch a the mea, the variace or a meaure of aociatio
More informationWe will look for series solutions to (1) around (at most) regular singular points, which without
ENM 511 J. L. Baai April, 1 Frobeiu Solutio to a d order ODE ear a regular igular poit Coider the ODE y 16 + P16 y 16 + Q1616 y (1) We will look for erie olutio to (1) aroud (at mot) regular igular poit,
More informationNew integral representations. . The polylogarithm function
New itegral repreetatio of the polylogarithm fuctio Djurdje Cvijović Atomic Phyic Laboratory Viča Ititute of Nuclear Sciece P.O. Box 5 Belgrade Serbia. Abtract. Maximo ha recetly give a excellet ummary
More informationChapter 4 : Laplace Transform
4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic
More informationChapter 9: Numerical Differentiation
178 Chapter 9: Numerical Differetiatio Numerical Differetiatio Formulatio of equatios for physical problems ofte ivolve derivatives (rate-of-chage quatities, such as velocity ad acceleratio). Numerical
More informationA NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS
Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet
More informationECE 422 Power System Operations & Planning 6 Small Signal Stability. Spring 2015 Instructor: Kai Sun
ECE 4 Power Sytem Operatio & Plaig 6 Small Sigal Stability Sprig 15 Itructor: Kai Su 1 Referece Saadat Chapter 11.4 EPRI Tutorial Chapter 8 Power Ocillatio Kudur Chapter 1 Power Ocillatio The power ytem
More informationChapter 7: The z-transform. Chih-Wei Liu
Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability
More informationChapter 10: Power Series
Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because
More informationDISCRETE MELLIN CONVOLUTION AND ITS EXTENSIONS, PERRON FORMULA AND EXPLICIT FORMULAE
DISCRETE MELLIN CONVOLUTION AND ITS EXTENSIONS, PERRON FORMULA AND EXPLICIT FORMULAE Joe Javier Garcia Moreta Graduate tudet of Phyic at the UPV/EHU (Uiverity of Baque coutry) I Solid State Phyic Addre:
More informationIntroEcono. Discrete RV. Continuous RV s
ItroEcoo Aoc. Prof. Poga Porchaiwiekul, Ph.D... ก ก e-mail: Poga.P@chula.ac.th Homepage: http://pioeer.chula.ac.th/~ppoga (c) Poga Porchaiwiekul, Chulalogkor Uiverity Quatitative, e.g., icome, raifall
More informationμ are complex parameters. Other
A New Numerical Itegrator for the Solutio of Iitial Value Problems i Ordiary Differetial Equatios. J. Suday * ad M.R. Odekule Departmet of Mathematical Scieces, Adamawa State Uiversity, Mubi, Nigeria.
More informationTHE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS
So far i the tudie of cotrol yte the role of the characteritic equatio polyoial i deteriig the behavior of the yte ha bee highlighted. The root of that polyoial are the pole of the cotrol yte, ad their
More informationNTMSCI 5, No. 1, (2017) 26
NTMSCI 5, No. 1, - (17) New Treds i Mathematical Scieces http://dx.doi.org/1.85/tmsci.17.1 The geeralized successive approximatio ad Padé approximats method for solvig a elasticity problem of based o the
More informationME 410 MECHANICAL ENGINEERING SYSTEMS LABORATORY REGRESSION ANALYSIS
ME 40 MECHANICAL ENGINEERING REGRESSION ANALYSIS Regreio problem deal with the relatiohip betwee the frequec ditributio of oe (depedet) variable ad aother (idepedet) variable() which i (are) held fied
More informationTHE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.
THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of
More informationWeak formulation and Lagrange equations of motion
Chapter 4 Weak formulatio ad Lagrage equatio of motio A mot commo approach to tudy tructural dyamic i the ue of the Lagrage equatio of motio. Thee are obtaied i thi chapter tartig from the Cauchy equatio
More informationCHAPTER I: Vector Spaces
CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig
More information20. CONFIDENCE INTERVALS FOR THE MEAN, UNKNOWN VARIANCE
20. CONFIDENCE INTERVALS FOR THE MEAN, UNKNOWN VARIANCE If the populatio tadard deviatio σ i ukow, a it uually will be i practice, we will have to etimate it by the ample tadard deviatio. Sice σ i ukow,
More informationNumerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION
alaysia Joural of athematical Scieces 3(1): 83-93 (9) umerical Coformal appig via a Fredholm Itegral Equatio usig Fourier ethod 1 Ali Hassa ohamed urid ad Teh Yua Yig 1, Departmet of athematics, Faculty
More informationOn the 2-Domination Number of Complete Grid Graphs
Ope Joural of Dicrete Mathematic, 0,, -0 http://wwwcirporg/oural/odm ISSN Olie: - ISSN Prit: - O the -Domiatio Number of Complete Grid Graph Ramy Shahee, Suhail Mahfud, Khame Almaea Departmet of Mathematic,
More information1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations
. Liearizatio of a oliear system give i the form of a system of ordiary differetial equatios We ow show how to determie a liear model which approximates the behavior of a time-ivariat oliear system i a
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 16 11/04/2013. Ito integral. Properties
MASSACHUSES INSIUE OF ECHNOLOGY 6.65/15.7J Fall 13 Lecture 16 11/4/13 Ito itegral. Propertie Cotet. 1. Defiitio of Ito itegral. Propertie of Ito itegral 1 Ito itegral. Exitece We cotiue with the cotructio
More informationOn the Positive Definite Solutions of the Matrix Equation X S + A * X S A = Q
The Ope Applied Mathematic Joural 011 5 19-5 19 Ope Acce O the Poitive Defiite Solutio of the Matrix Equatio X S + A * X S A = Q Maria Adam * Departmet of Computer Sciece ad Biomedical Iformatic Uiverity
More informationInfinite Sequences and Series
Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet
More informationA Faster Product for π and a New Integral for ln π 2
A Fater Product for ad a New Itegral for l Joatha Sodow. INTRODUCTION. I [5] we derived a ifiite product repreetatio of e γ, where γ i Euler cotat: e γ = 3 3 3 4 3 3 Here the th factor i the ( + )th root
More information6.3 Testing Series With Positive Terms
6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial
More informationOn Elementary Methods to Evaluate Values of the Riemann Zeta Function and another Closely Related Infinite Series at Natural Numbers
Global oural of Mathematical Sciece: Theory a Practical. SSN 97- Volume 5, Number, pp. 5-59 teratioal Reearch Publicatio Houe http://www.irphoue.com O Elemetary Metho to Evaluate Value of the Riema Zeta
More informationErick L. Oberstar Fall 2001 Project: Sidelobe Canceller & GSC 1. Advanced Digital Signal Processing Sidelobe Canceller (Beam Former)
Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC 1 Advaced Digital Sigal Proceig Sidelobe Caceller (Beam Former) Erick L. Obertar 001 Erick L. Obertar Fall 001 Project: Sidelobe Caceller & GSC
More informationCurve Sketching Handout #5 Topic Interpretation Rational Functions
Curve Sketchig Hadout #5 Topic Iterpretatio Ratioal Fuctios A ratioal fuctio is a fuctio f that is a quotiet of two polyomials. I other words, p ( ) ( ) f is a ratioal fuctio if p ( ) ad q ( ) are polyomials
More informationME NUMERICAL METHODS Fall 2007
ME - 310 NUMERICAL METHODS Fall 2007 Group 02 Istructor: Prof. Dr. Eres Söylemez (Rm C205, email:eres@metu.edu.tr ) Class Hours ad Room: Moday 13:40-15:30 Rm: B101 Wedesday 12:40-13:30 Rm: B103 Course
More informationThe Adomian Polynomials and the New Modified Decomposition Method for BVPs of nonlinear ODEs
Mathematical Computatio March 015, Volume, Issue 1, PP.1 6 The Adomia Polyomials ad the New Modified Decompositio Method for BVPs of oliear ODEs Jusheg Dua # School of Scieces, Shaghai Istitute of Techology,
More informationDorf, R.C., Wan, Z., Johnson, D.E. Laplace Transform The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000
Dorf, R.C., Wa, Z., Joho, D.E. Laplace Traform The Electrical Egieerig Hadbook Ed. Richard C. Dorf Boca Rato: CRC Pre LLC, 6 Laplace Traform Richard C. Dorf Uiverity of Califoria, Davi Zhe Wa Uiverity
More information6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.
6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio
More information8.6 Order-Recursive LS s[n]
8.6 Order-Recurive LS [] Motivate ti idea wit Curve Fittig Give data: 0,,,..., - [0], [],..., [-] Wat to fit a polyomial to data.., but wic oe i te rigt model?! Cotat! Quadratic! Liear! Cubic, Etc. ry
More informationwavelet collocation method for solving integro-differential equation.
IOSR Joural of Egieerig (IOSRJEN) ISSN (e): 5-3, ISSN (p): 78-879 Vol. 5, Issue 3 (arch. 5), V3 PP -7 www.iosrje.org wavelet collocatio method for solvig itegro-differetial equatio. Asmaa Abdalelah Abdalrehma
More informationLecture 8: Solving the Heat, Laplace and Wave equations using finite difference methods
Itroductory lecture otes o Partial Differetial Equatios - c Athoy Peirce. Not to be copied, used, or revised without explicit writte permissio from the copyright ower. 1 Lecture 8: Solvig the Heat, Laplace
More informationNumerical Solution of the Two Point Boundary Value Problems By Using Wavelet Bases of Hermite Cubic Spline Wavelets
Australia Joural of Basic ad Applied Scieces, 5(): 98-5, ISSN 99-878 Numerical Solutio of the Two Poit Boudary Value Problems By Usig Wavelet Bases of Hermite Cubic Splie Wavelets Mehdi Yousefi, Hesam-Aldie
More informationCapacitors and PN Junctions. Lecture 8: Prof. Niknejad. Department of EECS University of California, Berkeley. EECS 105 Fall 2003, Lecture 8
CS 15 Fall 23, Lecture 8 Lecture 8: Capacitor ad PN Juctio Prof. Nikejad Lecture Outlie Review of lectrotatic IC MIM Capacitor No-Liear Capacitor PN Juctio Thermal quilibrium lectrotatic Review 1 lectric
More informationA Tail Bound For Sums Of Independent Random Variables And Application To The Pareto Distribution
Applied Mathematic E-Note, 9009, 300-306 c ISSN 1607-510 Available free at mirror ite of http://wwwmaththuedutw/ ame/ A Tail Boud For Sum Of Idepedet Radom Variable Ad Applicatio To The Pareto Ditributio
More informationRelationship formula between nonlinear polynomial equations and the
Relatiohip formula betwee oliear polyomial equatio ad the correpodig Jacobia matrix W. Che Preet mail addre (a a JSPS Potdoctoral Reearch Fellow): Apt.4, Wet 1 t floor, Himawari-o, 316-2, Wakaato-kitaichi,
More informationTeaching Mathematics Concepts via Computer Algebra Systems
Iteratioal Joural of Mathematics ad Statistics Ivetio (IJMSI) E-ISSN: 4767 P-ISSN: - 4759 Volume 4 Issue 7 September. 6 PP-- Teachig Mathematics Cocepts via Computer Algebra Systems Osama Ajami Rashaw,
More informationPRELIM PROBLEM SOLUTIONS
PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems
More informationMETHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS
Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,
More informationResearch Article A New Second-Order Iteration Method for Solving Nonlinear Equations
Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif
More informationSequences of Definite Integrals, Factorials and Double Factorials
47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology
More information18.01 Calculus Jason Starr Fall 2005
Lecture 18. October 5, 005 Homework. Problem Set 5 Part I: (c). Practice Problems. Course Reader: 3G 1, 3G, 3G 4, 3G 5. 1. Approximatig Riema itegrals. Ofte, there is o simpler expressio for the atiderivative
More informationTime Response. First Order Systems. Time Constant, T c We call 1/a the time constant of the response. Chapter 4 Time Response
Time Repoe Chapter 4 Time Repoe Itroductio The output repoe of a ytem i the um of two repoe: the forced repoe ad the atural repoe. Although may techique, uch a olvig a differetial equatio or takig the
More informationCastiel, Supernatural, Season 6, Episode 18
13 Differetial Equatios the aswer to your questio ca best be epressed as a series of partial differetial equatios... Castiel, Superatural, Seaso 6, Episode 18 A differetial equatio is a mathematical equatio
More informationECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations
ECE-S352 Itroductio to Digital Sigal Processig Lecture 3A Direct Solutio of Differece Equatios Discrete Time Systems Described by Differece Equatios Uit impulse (sample) respose h() of a DT system allows
More information