Multistage Homotopy Analysis Method for Solving Nonlinear Integral Equations
|
|
- Clement Turner
- 5 years ago
- Views:
Transcription
1 Avalable at ttp://pvau.edu/aa Appl. Appl. Mat. ISSN: Specal Issue No. (August ) pp. 5 Applcatons and Appled Mateatcs: An Internatonal Journal (AAM) Multstage Hootop Analss Metod for Solvng Nonlnear Integral Equatons H. Jafar and M. A. Froozjaee Departent of Mateatcs Unverst of Mazandaran Babolsar, IRAN jafar@uz.ac.r, 6arab@at.co Receved: Aprl, ; Accepted: Ma 9, Abstract In ts paper, we present an effcent odfcaton of te ootop analss etod (HAM) tat wll facltate te calculatons. We ten conduct a coparatve stud between te new odfcaton and te ootop analss etod. Ts odfcaton of te ootop analss etod s appled to nonlnear ntegral equatons and ed Volterra-Fredol ntegral equatons, wc elds a seres soluton wt accelerated convergence. Nuercal llustratons are nvestgated to sow te features of te tecnque. Te odfed etod accelerates te rapd convergence of te seres soluton and reduces te sze of work. Kewords: Hootop analss etod; Multstage Hootop analss etod; Varatonal teraton etod; Volterra-Fredol ntegral equatons. MSC () No: K8; 5G99. Introducton Te ed Volterra-Fredol ntegral equatons arse n te teor of parabolc boundar value probles, te ateatcal odelng of te spato-teporal developent of an epdec, and varous pscal and bologcal probles. A dscusson of te forulaton of tese odels s gven n Wazwaz () and te references teren.
2 AAM: Intern. J., Specal Issue No. (August ) 5 Te nonlnear ed Volterra-Fredol ntegral equaton s gven n Wazwaz () as u(, ) f (, ) G(,, s, t, u( s, ) dsdt, (, ) were u(,) s an unknown functon, te functons f(,) and G(,,s,t,u) are analtc on D=Ω [,T] and were Ω s a closed subset of (R, n =,,). Te estence and unqueness results for equaton () a be found n Dekann (978), Han et al. (99), and Pacpatta (986). However, few nuercal etods for equaton () are known n te lterature Wazwaz (). For te lnear case, te te collocaton etod was ntroduced n Pacpatta (986) and te projecton etod was presented n Haca (996, ). In Brunner (99) te results of Pacpatta (986) ave been etended to nonlnear Volterra-Haersten ntegral equatons. In Maleknejad et al. (999) and Wazwaz (), a tecnque based on te Adoan decoposton etod was used for te soluton of (). A new etod for solvng () b eans of te Legendre wavelets etod s ntroduced n Yousef et al. (5). Anoter tpe of ed Volterra- Fredol ntegro-dfferental equaton and Fredol ntegro-dfferental equaton tat we are gong to solve approatel b te ultstage ootop analss etod s gven as [,], () ( ) ( n) ( ) f ( ) f ( ) K (, F( ( ) dt K (, G( ( ) dt, K (, G( ( ) dt,, () were f() and te kernels K (, ) and K (, are assued to be n L ( R ) on te nterval t ( ), t and n ( ) s n t dervatve of (). Te ntegro-dfferental equatons (IDEs) arse fro te ateatcal odelng of an scentfc penoena. Nonlnear penoena tat appear n an applcatons n scentfc felds can be odeled b nonlnear ntegro-dfferental equatons. In 99, Lao Rasd et al. (9) eploed te basc deas of te ootop n topolog to propose a general analtc etod for nonlnear probles, nael Hootop Analss Metod (HAM), Lao (), Nadee et al. (), and Rasd et al. (9). Ts etod as been successfull appled to solve an tpes of nonlnear probles Jafar et al. (8), Lao (997), and Rasd et al. (9). In te present paper we use te Multstage Hootop analss etod to obtan solutons of nonlnear ed Volterra-Fredol ntegral equatons and nonlnear ntegral equatons.. Basc Idea of HAM Consder te followng dfferental equaton N [ u( r)], () were N s a nonlnear operator, r denotes ndependent varable, and u(r) s an unknown functon. For splct, we gnore all boundares or ntal condtons, wc can be treated n te slar wa. B eans of generalzng te tradtonal ootop etod, Lao () constructs te so called zero order deforaton equaton
3 6 Jafar et al ( L[ ( r, u( r)] p H( r) N[ ( r, ], () were p [, ] s te ebeddng paraeter, s a nonzero aular paraeter, H (r) s an aular functon, L s an aular lnear operator, u ( r) s an ntal guess of u (r), u ( r, s a unknown functon, respectvel. It s portant, tat one as great freedo to coose aular tngs n HAM. Obvousl, wen p = and p =, t olds ( r;) u( r), ( r;) u( r ). (5) Tus, as p ncreases fro to, te soluton u ( r; vares fro te ntal guesses u ( r) to te soluton u (r). Epandng u ( r, n Talor seres wt respect to p, we ave were ( r ; u ( r) u ( r) p, (6) ( r; u ( r) p. (7)! p If te aular lnear operator, te ntal guess, te aular paraeter, and te aular functon are so properl cosen, te seres () converges at p =, ten we ave u ( r ) u ( r ) u ( r ), (8) wc ust be one of solutons of orgnal nonlnear equaton, as proved b Lao (). As and H(r) =, equaton () becoes ( p ) L[ ( r, u( r)] pn[ ( r, ], (9) wc s used ostl n te ootop perturbaton etod He (6), were as te soluton obtaned drectl, wtout usng Talor seres He (6). Accordng to te Defnton (7), te governng equaton can be deduced fro te zero-order deforaton equaton (6). Defne te vector u u ( r), u( r),..., un ( r) n. Dfferentatng equaton () tes wt respect to te ebeddng paraeter p and ten settng p = and fnall, dvdng te b!, we obtan te t -order deforaton equaton L u ( r) u ( r)] H ( r) ( u ), () [ were
4 AAM: Intern. J., Specal Issue No. (August ) 7 and N[ ( r, ] u () ( )! p ( ) p,, (),, It sould be epaszed tat u (r) for s governed b te lnear equaton () under te lnear boundar condtons tat coe fro orgnal proble, wc can be easl solved b sbolc coputaton software suc as Mateatca. For te convergence of te above etod we refer te reader to Lao's work Lao (). If equaton () adts unque soluton, ten ts etod wll produce te unque soluton. If equaton () does not possess unque soluton, te HAM wll gve a soluton aong an oter (possble) solutons.. HAM for Med Volterra-Fredol Integral Equatons To verf te valdt and te potental of HAM n solvng ed Volterra-Fredol ntegral equatons, we appl t to equaton (). For equaton (), frst we cose and L [ (, ; ] (, ; H (, ). We defne a nonlnear operator as follows: N[ (, ; ] (, ; f (, ) G(,, s, t, ( s, t; ) dsdt. () Te zero order deforaton equaton s: ( L[ (, ; u(, )] p N[ (, ; ]. () Dfferentatng equaton (), tes wt respect to te ebeddng paraeter p and ten settng p = and fnall dvdng te b!, we ave te so-called t -order deforaton equaton for : u, ) u (, ) R ( u ), (5) (
5 8 Jafar et al were R ( u G(,, s, t, ( s, t; ) ) u (, ) dsdt ( ) f (, ) p. p Terefore, we can obtan HAM ters b equaton (5). Now, we ave: u, ) u (, ) u (, ) u (, ).... ( Eaple. Consder te nonlnear ed ntegral equaton Yousef et al. (5): u(, ) e te u( s, dsdt,, (6) u (, ). For start HAM we cooseu ( ), and, ten, of two repeat ootop analss etod we wll obtaned ters HAM: u (, ) u (, ) 8 e e e e u(, ) u (, ) u (, ) u (, )... ( 8 e e e ) Te -curves for ts eaple s presented n Fgure wc were obtaned based on te tree order HAM approatons solutons. B -curves, t s eas to dscover te vald regon of, wc corresponds to te lne segents nearl parallel to te orzontal as.
6 AAM: Intern. J., Specal Issue No. (August ) 9 Fgure. -curve dagra Fgure. Relatve error (coputed eac/eact soluton Fgure. Eact soluton Fgure. Approate solutons b HAM ( =-.) Te tree-densonal plot of te error HAM s sown n Fgure.Usng te frst tree ters of te HAM, Fgure wll be generated. Ts eaple s solved b nne ters He's varatonal teraton etod ncte Nadee et al. () and Legendre wavelets etod Yousef et al. (5).. Te Multstage HAM for Nonlnear Integral Equatons Te soluton gven n HAM s local n nature. To etend ts soluton over te nterval I [, T] we dvde te nterval I nto sub-ntervals I j [ j, j ), j,,,, p,, were... p T. We solve te equaton () n eac subnterval I j. Let ( ) be soluton of equaton () n te subnterval I. For p, () s soluton of equaton () n te subnterval I wt ntal condtons b obtanng te ntal condtons fro te nterval I. ( ) ( ), for,..., p.
7 Jafar et al Te soluton of equaton () for [, T] s gven b were p ( ) I ( ), (7),,,. (8) For equaton (), frst we coose and n ( ; L[ ( ; ], n n () H,,,... ( ) ( ) j ( ), for,.... j We defne a nonlnear operator for ed Volterra-Fredol ntegral equatons as follows: N[ ( ; ] ( ; f ( ) K (, F( ( t; ) dt K (, G( ( t; ) dt Also for Fredol ntegro-dfferental equaton: (9) N[ n ( ; ( ; ] f ( ) K (, F( ( t; ) dt n. () Te zero order deforaton equaton s: ( L[ ( ; u( )] p N[ ( ; ]. Dfferentatng equaton (9) and (), tes wt respect to te ebeddng paraeter p and ten settng p = and fnall dvdng te b! and we ave te so-called t -order deforaton equaton for : L[ ( ) ( )] R ( ). Terefore, we can obtan MHAM ters b equaton () n te nterval I : ( ) ( ) ( ) ( )...
8 AAM: Intern. J., Specal Issue No. (August ) Ten, of equaton (7) we obtaned soluton of equaton (). 5. Illustratve Eaples To gve a clear overvew of te ultstage ootop analss etod, we present te followng eaples. We appl te ultstage ootop analss etod and copare te results wt te ootop analss etod. Eaple. Consder te followng nonlnear Volterra-Fredol ntegral equaton Yousef, and Yousef (5): ( ) ( ( dt ( ( dt, () wt te eact soluton ( ). For utlze of ult stage HAM we dvde nterval [, ] nto subnterval [,.] and [.,] In frst nterval we cose and obtaned: ( ) and usng -curve we fnd -.7 ( ) ( ) ( ) ( ) ( ) ( ) ( ) For te second nterval, we coose and use -curve we select = -.59 and obtan: ( ) [,.] ( ) [.,] ( ). Yousef et al. (5) ave solved ts eaple usng te He's varatonal teraton etod.we draw below graps of HAM and MHAM soluton and copare te eact soluton. Fgures (5) and (6) sow coparson of eact solutons, HAM and MHAM. In ts eaple we etend te nterval [,] n Yousef et al. (5) to [,] and observe tat rapd convergence for te solutons s ver good.
9 Jafar et al Fgure 5. Coparson of eact soluton Fgure 6. Coparson of eact soluton (sold lne) and HAM (das lne) (order ) b = - -stage HAM (das lne) (order ) Eaple. Consder te Fredol ntegro-dfferental proble 6. ''' -t ( ) e e ( dt, () wt ntal condton: ' '' () (), () e. Te ultstage HAM procedure would lead to: Dvde te nterval [,] nto subntervals [,], [,] and [,]. In te frst nterval we coose ( ) ( e) and usng -curve we get =-. and: e e e ( ) ( ) e 8e 8e Terefore, ( ) ( ) ( ) e -.5e -.875e.9 e... wc s te soluton n te frst nterval. For te second nterval, we coose ) ( ) and usng -curve, we ave =-.9. So, ( ( ) ( 6 e 6 e 9e - 55e - 5e e...). Terefore, ( ) ( ) ( ) e.9e.5e.766e. e and n nterval [,], we cose ) ( ) and b -curve we cose. 97, (
10 AAM: Intern. J., Specal Issue No. (August ) ( ) ( 5 9 e 55 e e e e 9e 55e...). Terefore, ( ) ( ) ( ).5 57.e 55.7e e 59.5e 69.86e We obtaned te soluton MHAM: ( ) [,] ( ) [,] ( ) [,] ( ) Fgure 7. Coparson of MHAM soluton, HAM soluton (order6) and te eact soluton () e. Eaple. Consder te Fredol ntegro-dfferental proble Sdfar et al. (n press) '' t ' ( ) e e ( ( ( ) dt, (5) ' wt ntal condton: () (). To utlze MHAM, we dvde te nterval [,] nto subntervals [,.] and [.,] and Fgure 8 sows tat te convergence s faster tan n te seres obtaned b standard HAM Sdfar et al. (n press). In te frst nterval, we coose ( ) and usng -curve coose =-., ( ).6..e.. Terefore,
11 Jafar et al ( ) ( ) ( ).6..e. and n te nterval [.,], coose ) ( ) and b -curve we coose =-.89 and obtan: ( ( ) e.9. Terefore, ( ) ( ) ( )...99e. ) ( ) ( ). ( [,] [,] Fgure 8. Coparson error of MHAM and HAM (order 6) b - Reark. In te above eaples we ave solved nonlnear ntegral equatons b usng MHAM troug few teratons and faster convergence respect to HAM. 6. Concluson Hootop analss etod s a powerful etod wc elds a convergent seres soluton for lnear/nonlnear probles. Ts etod s better tan nuercal etods, as t s free fro roundng off errors, and does not requre large coputer power. In ts paper we ave suggested a odfcaton of ts etod wc s called 'ultstage HAM'. Here, we ave appled ultstage HAM for solvng a nonlnear ed Volterra-Fredol ntegral equatons. Te ultstage HAM elds a seres soluton wc converges faster tan te seres obtaned b HAM and VIM and Legendre wavelet. Illustratve eaples presented clear support for ts cla. REFERENCES Brunner, H. (99). On te nuercal soluton of nonlnear Volterra-Fredol ntegral equatons b collocaton etods, SIAM J. Nuer. Anal., Vol. 7, pp
12 AAM: Intern. J., Specal Issue No. (August ) 5 Dekann, M. O. (978). Tresolds and travelng for te geograpcal spread of nfecton, J. Mat. Bol., Vol. 6, pp. 9-. Fredol ntegral equatons, Mat. Coput. Sulaton, Vol. 7, pp. -8. Haca, L. (996). On approate soluton for ntegral equatons of ed tpe, ZAMM Z. Angew. Mat. Mec., Vol. 76, pp Haca, L. (). Projecton etods for ntegral equatons n epdec, J. Mat. Model. Anal., Vol. 7, pp. 9-. Han, G. and Zang, L. (99). Asptotc error epanson for te trapezodal Nstro etod of lnear Volterra-Fredol ntegral equatons, J. Coput. Appl. Mat., Vol. 5, pp He, J.H. (6). Hootop perturbaton etod for solvng boundar value probles, Ps Lett A, Vol. 5, pp He, J.H. (6). Soe asptotc etods for strongl nonlnear equatons, Int J Mod Ps B, Vol. (), pp Jafar, H. and Sef, S. (8). Hootop Analss Metod for solvng lnear and nonlnear fractonal dffuson-wave equaton, Coun. Nonlnear Sc. Nuer. Sulat. Lao, S. J. (). Beond perturbaton: ntroducton to te ootop analss etod. CRC Press, Boca Raton: Capan & Hall. Lao, S.J. (997). Nuercall solvng non-lnear probles b te ootop analss etod, Coputatonal Mecancs, Vol., pp. 5-5 Maleknejad, K. and Hadzade, M. (999). A new coputatonal etod for Volterra-Fredol ntegral equatons, Coput. Mat. Appl., Vol. 7, pp. -8. Nadee, S., Hussan, A., and Kan, M. (). HAM solutons for boundar laer _ow n te regon of te stagnaton pont towards a stretcng seet, Co. In Nonl. Sc. and Nu. Sul., Vol. 5, Issue, pp Pacpatta, B.G. (986). On ed Volterra-Fredol tpe ntegral equatons, Indan J. Pure Appl. Mat., Vol. 7, pp Rasd, M.M., Doarr, G. and Dnarvand, S. (9). Approate solutons for te Burger and regularzed long wave equatons b eans of te ootop analss etod, Co. n Nonl. Sc. and Nu. S., Vol., Iss., pp Sdfar, A., Molabara, A., Babae, A., and Yazdanan A. (In Press).A seres soluton of te nonlnear ed Volterra-Fredol ntegral equatons. Coputers and Mateatcs Tee, H.R. (977). A odel for te spatal spread of an epdec, J. Mat. Bol., Vol., pp Volterra and Fredol ntegro-dfferental equatons, Coun Nonlnear Sc Nuer Sulat. Wazwaz, A.M. (). A relable treatent for ed Volterra-Fredol ntegral equatons wt Applcatons (n press). Yousef, S. and Razzag, M. (5). Legendre wavelets etod for te nonlnear Volterra-Legendre equatons, Mat. Coput. Sulaton 7, -8. Yousef, S.A., Lotf, A. and Degan, M. (n press). He's varatonal teraton etod for solvng nonlnear ed Volterra-Fredol ntegral equatons, Coputers and Mateatcs wt Applcatons.
On Pfaff s solution of the Pfaff problem
Zur Pfaff scen Lösung des Pfaff scen Probles Mat. Ann. 7 (880) 53-530. On Pfaff s soluton of te Pfaff proble By A. MAYER n Lepzg Translated by D. H. Delpenc Te way tat Pfaff adopted for te ntegraton of
More informationSystem in Weibull Distribution
Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co
More informationORDINARY DIFFERENTIAL EQUATIONS EULER S METHOD
Numercal Analss or Engneers German Jordanan Unverst ORDINARY DIFFERENTIAL EQUATIONS We wll eplore several metods o solvng rst order ordnar derental equatons (ODEs and we wll sow ow tese metods can be appled
More informationOutline. Review Numerical Approach. Schedule for April and May. Review Simple Methods. Review Notation and Order
Sstes of Ordnar Dfferental Equatons Aprl, Solvng Sstes of Ordnar Dfferental Equatons Larr Caretto Mecancal Engneerng 9 Nuercal Analss of Engneerng Sstes Aprl, Outlne Revew bascs of nuercal solutons of
More informationNumerical Solution of Nonlinear Singular Ordinary Differential Equations Arising in Biology Via Operational Matrix of Shifted Legendre Polynomials
Aercan Journal of Coputatonal and Appled Matheatcs: ; (): -9 DOI:.93/.aca..4 Nuercal Soluton of Nonlnear Sngular Ordnary Dfferental Equatons Arsng n Bology Va Operatonal Matr of Shfted Legendre Polynoals
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More informationIntroduction to groundwater flow modeling: finite difference methods. Tyson Strand
Introducton to groundwater flow odelng: fnte dfference etods Tson Strand Darc s law contnut and te groundwater flow equaton Fundaentals of fnte dfference etods 3 FD soluton of Laplace s equaton 4 FD soluton
More informationNumerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method
Appled Mathematcs, 6, 7, 5-4 Publshed Onlne Jul 6 n ScRes. http://www.scrp.org/journal/am http://.do.org/.436/am.6.77 umercal Solutons of a Generalzed th Order Boundar Value Problems Usng Power Seres Approxmaton
More informationNumerical Solution of Ordinary Differential Equations
Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples
More informationApplied Mathematics Letters
Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć
More informationA New Recursive Method for Solving State Equations Using Taylor Series
I J E E E C Internatonal Journal of Electrcal, Electroncs ISSN No. (Onlne) : 77-66 and Computer Engneerng 1(): -7(01) Specal Edton for Best Papers of Mcael Faraday IET Inda Summt-01, MFIIS-1 A New Recursve
More informationGrid Generation around a Cylinder by Complex Potential Functions
Research Journal of Appled Scences, Engneerng and Technolog 4(): 53-535, 0 ISSN: 040-7467 Mawell Scentfc Organzaton, 0 Submtted: December 0, 0 Accepted: Januar, 0 Publshed: June 0, 0 Grd Generaton around
More informationSolution for singularly perturbed problems via cubic spline in tension
ISSN 76-769 England UK Journal of Informaton and Computng Scence Vol. No. 06 pp.6-69 Soluton for sngularly perturbed problems va cubc splne n tenson K. Aruna A. S. V. Rav Kant Flud Dynamcs Dvson Scool
More informationA new Approach for Solving Linear Ordinary Differential Equations
, ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of
More informationApproximate Technique for Solving Class of Fractional Variational Problems
Appled Matheatcs, 5, 6, 837-846 Publshed Onlne May 5 n ScRes. http://www.scrp.org/journal/a http://dx.do.org/.436/a.5.6578 Approxate Technque for Solvng Class of Fractonal Varatonal Probles Ead M. Soloua,,
More informationStanford University CS254: Computational Complexity Notes 7 Luca Trevisan January 29, Notes for Lecture 7
Stanford Unversty CS54: Computatonal Complexty Notes 7 Luca Trevsan January 9, 014 Notes for Lecture 7 1 Approxmate Countng wt an N oracle We complete te proof of te followng result: Teorem 1 For every
More informationChapter 12. Ordinary Differential Equation Boundary Value (BV) Problems
Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(
More informationThe Finite Element Method: A Short Introduction
Te Fnte Element Metod: A Sort ntroducton Wat s FEM? Te Fnte Element Metod (FEM) ntroduced by engneers n late 50 s and 60 s s a numercal tecnque for solvng problems wc are descrbed by Ordnary Dfferental
More informationIntegral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions
Int J Open Probles Copt Math, Vol 7, No 4, Deceber 214 ISSN 1998-6262; Copyrght ICSS Publcaton, 214 www-csrsorg Integral Transfors and Dual Integral Equatons to Solve Heat Equaton wth Mxed Condtons Naser
More informationPART 8. Partial Differential Equations PDEs
he Islamc Unverst of Gaza Facult of Engneerng Cvl Engneerng Department Numercal Analss ECIV 3306 PAR 8 Partal Dfferental Equatons PDEs Chapter 9; Fnte Dfference: Ellptc Equatons Assocate Prof. Mazen Abualtaef
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles
More informationSpectral method for fractional quadratic Riccati differential equation
Journal of Aled Matheatcs & Bonforatcs vol2 no3 212 85-97 ISSN: 1792-662 (rnt) 1792-6939 (onlne) Scenress Ltd 212 Sectral ethod for fractonal quadratc Rccat dfferental equaton Rostay 1 K Kar 2 L Gharacheh
More informationLimit Cycle Bifurcations in a Class of Cubic System near a Nilpotent Center *
Appled Mateatcs 77-777 ttp://dxdoorg/6/a75 Publsed Onlne July (ttp://wwwscrporg/journal/a) Lt Cycle Bfurcatons n a Class of Cubc Syste near a Nlpotent Center * Jao Jang Departent of Mateatcs Sanga Marte
More informationSolving Fuzzy Linear Programming Problem With Fuzzy Relational Equation Constraint
Intern. J. Fuzz Maeatcal Archve Vol., 0, -0 ISSN: 0 (P, 0 0 (onlne Publshed on 0 Septeber 0 www.researchasc.org Internatonal Journal of Solvng Fuzz Lnear Prograng Proble W Fuzz Relatonal Equaton Constrant
More informationRectilinear motion. Lecture 2: Kinematics of Particles. External motion is known, find force. External forces are known, find motion
Lecture : Kneatcs of Partcles Rectlnear oton Straght-Lne oton [.1] Analtcal solutons for poston/veloct [.1] Solvng equatons of oton Analtcal solutons (1 D revew) [.1] Nuercal solutons [.1] Nuercal ntegraton
More informationMultivariate Ratio Estimator of the Population Total under Stratified Random Sampling
Open Journal of Statstcs, 0,, 300-304 ttp://dx.do.org/0.436/ojs.0.3036 Publsed Onlne July 0 (ttp://www.scrp.org/journal/ojs) Multvarate Rato Estmator of te Populaton Total under Stratfed Random Samplng
More informationNumerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline
IOSR Journal of Matematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X. Volume 14, Issue 6 Ver. I (Nov - Dec 018), PP 6-30 www.osrournals.org Numercal Smulaton of One-Dmensonal Wave Equaton by Non-Polynomal
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s a geometrcal concept arsng from parallel forces. Tus, onl parallel forces possess a centrod. Centrod s tougt of as te pont were te wole wegt of a pscal od or sstem of partcles
More informationLeast Squares Fitting of Data
Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2014. All Rghts Reserved. Created: July 15, 1999 Last Modfed: February 9, 2008 Contents 1 Lnear Fttng
More informationA MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS
Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF
More informationSeveral generation methods of multinomial distributed random number Tian Lei 1, a,linxihe 1,b,Zhigang Zhang 1,c
Internatonal Conference on Appled Scence and Engneerng Innovaton (ASEI 205) Several generaton ethods of ultnoal dstrbuted rando nuber Tan Le, a,lnhe,b,zhgang Zhang,c School of Matheatcs and Physcs, USTB,
More information1. Statement of the problem
Volue 14, 010 15 ON THE ITERATIVE SOUTION OF A SYSTEM OF DISCRETE TIMOSHENKO EQUATIONS Peradze J. and Tsklaur Z. I. Javakhshvl Tbls State Uversty,, Uversty St., Tbls 0186, Georga Georgan Techcal Uversty,
More informationSolving Singularly Perturbed Differential Difference Equations via Fitted Method
Avalable at ttp://pvamu.edu/aam Appl. Appl. Mat. ISSN: 193-9466 Vol. 8, Issue 1 (June 013), pp. 318-33 Applcatons and Appled Matematcs: An Internatonal Journal (AAM) Solvng Sngularly Perturbed Dfferental
More informationDenote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form
SET OF METHODS FO SOUTION THE AUHY POBEM FO STIFF SYSTEMS OF ODINAY DIFFEENTIA EUATIONS AF atypov and YuV Nulchev Insttute of Theoretcal and Appled Mechancs SB AS 639 Novosbrs ussa Introducton A constructon
More informationExcess Error, Approximation Error, and Estimation Error
E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple
More informationSolving Fractional Nonlinear Fredholm Integro-differential Equations via Hybrid of Rationalized Haar Functions
ISSN 746-7659 England UK Journal of Informaton and Computng Scence Vol. 9 No. 3 4 pp. 69-8 Solvng Fractonal Nonlnear Fredholm Integro-dfferental Equatons va Hybrd of Ratonalzed Haar Functons Yadollah Ordokhan
More informationMultigrid Methods and Applications in CFD
Multgrd Metods and Applcatons n CFD Mcael Wurst 0 May 009 Contents Introducton Typcal desgn of CFD solvers 3 Basc metods and ter propertes for solvng lnear systems of equatons 4 Geometrc Multgrd 3 5 Algebrac
More informationExplicit and Exact Solutions with Multiple Arbitrary Analytic Functions of Jimbo Miwa Equation
Avalable at http://pvau.edu/aa Appl. Appl. Math. ISSN: 9-966 Vol., Issue (Deceber 009), pp. 79 89 (Prevousl, Vol., No.) Applcatons and Appled Matheatcs: An Internatonal Journal (AAM) Explct and Exact Solutons
More informationA Spline based computational simulations for solving selfadjoint singularly perturbed two-point boundary value problems
ISSN 746-769 England UK Journal of Informaton and Computng Scence Vol. 7 No. 4 pp. 33-34 A Splne based computatonal smulatons for solvng selfadjont sngularly perturbed two-pont boundary value problems
More informationFixed point method and its improvement for the system of Volterra-Fredholm integral equations of the second kind
MATEMATIKA, 217, Volume 33, Number 2, 191 26 c Penerbt UTM Press. All rghts reserved Fxed pont method and ts mprovement for the system of Volterra-Fredholm ntegral equatons of the second knd 1 Talaat I.
More informationEXACT TRAVELLING WAVE SOLUTIONS FOR THREE NONLINEAR EVOLUTION EQUATIONS BY A BERNOULLI SUB-ODE METHOD
www.arpapress.co/volues/vol16issue/ijrras_16 10.pdf EXACT TRAVELLING WAVE SOLUTIONS FOR THREE NONLINEAR EVOLUTION EQUATIONS BY A BERNOULLI SUB-ODE METHOD Chengbo Tan & Qnghua Feng * School of Scence, Shandong
More informationNew Approach to Fuzzy Decision Matrices
Acta Polytecnca Hungarca Vol. 14 No. 5 017 New Approac to Fuzzy Decson Matrces Pavla Rotterová Ondře Pavlačka Departent of Mateatcal Analyss and Applcatons of Mateatcs Faculty of cence Palacký Unversty
More informationLecture 26 Finite Differences and Boundary Value Problems
4//3 Leture 6 Fnte erenes and Boundar Value Problems Numeral derentaton A nte derene s an appromaton o a dervatve - eample erved rom Talor seres 3 O! Negletng all terms ger tan rst order O O Tat s te orward
More informationImage classification. Given the bag-of-features representations of images from different classes, how do we learn a model for distinguishing i them?
Image classfcaton Gven te bag-of-features representatons of mages from dfferent classes ow do we learn a model for dstngusng tem? Classfers Learn a decson rule assgnng bag-offeatures representatons of
More informationSlobodan Lakić. Communicated by R. Van Keer
Serdca Math. J. 21 (1995), 335-344 AN ITERATIVE METHOD FOR THE MATRIX PRINCIPAL n-th ROOT Slobodan Lakć Councated by R. Van Keer In ths paper we gve an teratve ethod to copute the prncpal n-th root and
More informationElastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.
Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationCIS526: Machine Learning Lecture 3 (Sept 16, 2003) Linear Regression. Preparation help: Xiaoying Huang. x 1 θ 1 output... θ M x M
CIS56: achne Learnng Lecture 3 (Sept 6, 003) Preparaton help: Xaoyng Huang Lnear Regresson Lnear regresson can be represented by a functonal form: f(; θ) = θ 0 0 +θ + + θ = θ = 0 ote: 0 s a dummy attrbute
More informationCHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION
CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr
More informationSolving a Class of Nonlinear Delay Integro differential Equations by Using Differential Transformation Method
Appled and Computatonal Matematcs 2016; 5(3): 142149 ttp://www.scencepublsnggroup.com/j/acm do: 10.11648/j.acm.20160503.18 ISSN: 23285605 (Prnt); ISSN: 23285613 (Onlne) Case Report Solvng a Class of Nonlnear
More informationLeast Squares Fitting of Data
Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2015. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng
More informationACTM State Calculus Competition Saturday April 30, 2011
ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward
More informationTR/95 February Splines G. H. BEHFOROOZ* & N. PAPAMICHAEL
TR/9 February 980 End Condtons for Interpolatory Quntc Splnes by G. H. BEHFOROOZ* & N. PAPAMICHAEL *Present address: Dept of Matematcs Unversty of Tabrz Tabrz Iran. W9609 A B S T R A C T Accurate end condtons
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationDETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM
Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI
More informationNumerical Solution of Singular Perturbation Problems Via Deviating Argument and Exponential Fitting
Amercan Journal of Computatonal and Appled Matematcs 0, (): 49-54 DOI: 0.593/j.ajcam.000.09 umercal Soluton of Sngular Perturbaton Problems Va Devatng Argument and Eponental Fttng GBSL. Soujanya, Y.. Reddy,
More informationWhat is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner.
(C) 998 Gerald B Sheblé, all rghts reserved Lnear Prograng Introducton Contents I. What s LP? II. LP Theor III. The Splex Method IV. Refneents to the Splex Method What s LP? LP s an optzaton technque that
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More informationAdaptive Kernel Estimation of the Conditional Quantiles
Internatonal Journal of Statstcs and Probablty; Vol. 5, No. ; 206 ISSN 927-7032 E-ISSN 927-7040 Publsed by Canadan Center of Scence and Educaton Adaptve Kernel Estmaton of te Condtonal Quantles Rad B.
More informationShuai Dong. Isaac Newton. Gottfried Leibniz
Computatonal pyscs Sua Dong Isaac Newton Gottred Lebnz Numercal calculus poston dervatve ntegral v velocty dervatve ntegral a acceleraton Numercal calculus Numercal derentaton Numercal ntegraton Roots
More information1 Review From Last Time
COS 5: Foundatons of Machne Learnng Rob Schapre Lecture #8 Scrbe: Monrul I Sharf Aprl 0, 2003 Revew Fro Last Te Last te, we were talkng about how to odel dstrbutons, and we had ths setup: Gven - exaples
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationQuantum Particle Motion in Physical Space
Adv. Studes Theor. Phys., Vol. 8, 014, no. 1, 7-34 HIKARI Ltd, www.-hkar.co http://dx.do.org/10.1988/astp.014.311136 Quantu Partcle Moton n Physcal Space A. Yu. Saarn Dept. of Physcs, Saara State Techncal
More informationOn a nonlinear compactness lemma in L p (0, T ; B).
On a nonlnear compactness lemma n L p (, T ; B). Emmanuel Matre Laboratore de Matématques et Applcatons Unversté de Haute-Alsace 4, rue des Frères Lumère 6893 Mulouse E.Matre@ua.fr 3t February 22 Abstract
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationGeneral viscosity iterative method for a sequence of quasi-nonexpansive mappings
Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,
More informationChapter Newton s Method
Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve
More informationTHE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens
THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of
More information5 The Laplace Equation in a convex polygon
5 Te Laplace Equaton n a convex polygon Te most mportant ellptc PDEs are te Laplace, te modfed Helmoltz and te Helmoltz equatons. Te Laplace equaton s u xx + u yy =. (5.) Te real and magnary parts of an
More informationAnalytical solution for nonlinear Gas Dynamic equation by Homotopy Analysis Method
Available at http://pvau.edu/aa Appl. Appl. Math. ISSN: 932-9466 Vol. 4, Issue (June 29) pp. 49 54 (Previously, Vol. 4, No. ) Applications and Applied Matheatics: An International Journal (AAM) Analytical
More information6.3.4 Modified Euler s method of integration
6.3.4 Modfed Euler s method of ntegraton Before dscussng the applcaton of Euler s method for solvng the swng equatons, let us frst revew the basc Euler s method of numercal ntegraton. Let the general from
More informationNumerical Solution of Ordinary Differential Equations
College of Engneerng and Computer Scence Mecancal Engneerng Department otes on Engneerng Analss Larr Caretto ovember 9, 7 Goal of tese notes umercal Soluton of Ordnar Dfferental Equatons ese notes were
More informationTR/28. OCTOBER CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN.
TR/8. OCTOBER 97. CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN. W960748 ABSTRACT It s sown tat for te two dmensonal Laplace equaton a unvarate cubc splne approxmaton
More informationHaar Wavelet Collocation Method for the Numerical Solution of Nonlinear Volterra-Fredholm-Hammerstein Integral Equations
Global Journal of Pure and Appled Mathematcs. ISS 0973-768 Volume 3, umber 2 (207), pp. 463-474 Research Inda Publcatons http://www.rpublcaton.com Haar Wavelet Collocaton Method for the umercal Soluton
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationThe finite element method explicit scheme for a solution of one problem of surface and ground water combined movement
IOP Conference Seres: Materals Scence and Engneerng PAPER OPEN ACCESS e fnte element metod explct sceme for a soluton of one problem of surface and ground water combned movement o cte ts artcle: L L Glazyrna
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationConvexity preserving interpolation by splines of arbitrary degree
Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 31 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 6. Rdge regresson The OLSE s the best lnear unbased
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More information, rst we solve te PDE's L ad L ad n g g (x) = ; = ; ; ; n () (x) = () Ten, we nd te uncton (x), te lnearzng eedbac and coordnates transormaton are gve
Freedom n Coordnates Transormaton or Exact Lnearzaton and ts Applcaton to Transent Beavor Improvement Kenj Fujmoto and Tosaru Suge Dvson o Appled Systems Scence, Kyoto Unversty, Uj, Kyoto, Japan suge@robotuassyoto-uacjp
More informationA PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.
Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR
More informationCOS 511: Theoretical Machine Learning
COS 5: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #0 Scrbe: José Sões Ferrera March 06, 203 In the last lecture the concept of Radeacher coplexty was ntroduced, wth the goal of showng that
More informationProblem Set 4: Sketch of Solutions
Problem Set 4: Sketc of Solutons Informaton Economcs (Ec 55) George Georgads Due n class or by e-mal to quel@bu.edu at :30, Monday, December 8 Problem. Screenng A monopolst can produce a good n dfferent
More informationChapter Twelve. Integration. We now turn our attention to the idea of an integral in dimensions higher than one. Consider a real-valued function f : D
Chapter Twelve Integraton 12.1 Introducton We now turn our attenton to the dea of an ntegral n dmensons hgher than one. Consder a real-valued functon f : R, where the doman s a nce closed subset of Eucldean
More informationModule 14: THE INTEGRAL Exploring Calculus
Module 14: THE INTEGRAL Explorng Calculus Part I Approxmatons and the Defnte Integral It was known n the 1600s before the calculus was developed that the area of an rregularly shaped regon could be approxmated
More informationModelli Clamfim Equazioni differenziali 7 ottobre 2013
CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 7 ottobre 2013 professor Danele Rtell danele.rtell@unbo.t 1/18? Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp
More informationSIMPLE LINEAR REGRESSION
Smple Lnear Regresson and Correlaton Introducton Prevousl, our attenton has been focused on one varable whch we desgnated b x. Frequentl, t s desrable to learn somethng about the relatonshp between two
More informationLinear discriminants. Nuno Vasconcelos ECE Department, UCSD
Lnear dscrmnants Nuno Vasconcelos ECE Department UCSD Classfcaton a classfcaton problem as to tpes of varables e.g. X - vector of observatons features n te orld Y - state class of te orld X R 2 fever blood
More informationMESHLESS METHODS: ALTERNATIVES FOR SOLVING 2D ELASTICITY PROBLEMS
nrnatonal Cvl Engneerng Conference "Towards Sustanable Cvl Engneerng Practce" Surabaa, August 25-26, 2006 MESHLESS METHODS: ALTERNATVES FOR SOLVNG 2D ELASTCTY PROBLEMS Effend TANOJO 1, Pamuda PUDJSURYAD
More informationRockefeller College University at Albany
Rockefeller College Unverst at Alban PAD 705 Handout: Maxmum Lkelhood Estmaton Orgnal b Davd A. Wse John F. Kenned School of Government, Harvard Unverst Modfcatons b R. Karl Rethemeer Up to ths pont n
More informationOn the number of regions in an m-dimensional space cut by n hyperplanes
6 On the nuber of regons n an -densonal space cut by n hyperplanes Chungwu Ho and Seth Zeran Abstract In ths note we provde a unfor approach for the nuber of bounded regons cut by n hyperplanes n general
More informationNumerical Simulation of Wave Propagation Using the Shallow Water Equations
umercal Smulaton of Wave Propagaton Usng the Shallow Water Equatons Junbo Par Harve udd College 6th Aprl 007 Abstract The shallow water equatons SWE were used to model water wave propagaton n one dmenson
More informationConsistency & Convergence
/9/007 CHE 374 Computatonal Methods n Engneerng Ordnary Dfferental Equatons Consstency, Convergence, Stablty, Stffness and Adaptve and Implct Methods ODE s n MATLAB, etc Consstency & Convergence Consstency
More informationExponential Type Product Estimator for Finite Population Mean with Information on Auxiliary Attribute
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 193-9466 Vol. 10, Issue 1 (June 015), pp. 106-113 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) Exponental Tpe Product Estmator
More informationCOMP4630: λ-calculus
COMP4630: λ-calculus 4. Standardsaton Mcael Norrs Mcael.Norrs@ncta.com.au Canberra Researc Lab., NICTA Semester 2, 2015 Last Tme Confluence Te property tat dvergent evaluatons can rejon one anoter Proof
More informationOur focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.
SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal
More informationMeasurement Indices of Positional Uncertainty for Plane Line Segments Based on the ε
Proceedngs of the 8th Internatonal Smposum on Spatal ccurac ssessment n Natural Resources and Envronmental Scences Shangha, P R Chna, June 5-7, 008, pp 9-5 Measurement Indces of Postonal Uncertant for
More information