Collocation Method for Ninth order Boundary Value Problems Using Quintic B-Splines
|
|
- Beverley Richard
- 5 years ago
- Views:
Transcription
1 Iteatoal Joual of Egeeg Ivetos e-issn: , p-issn: Volume 5, Issue 7 [Aug. 16] PP: 8-47 Collocato Metod fo Nt ode Bouday Value Poblems Usg Qutc B-Sples S. M. Reddy Depatmet of Scece ad Humates, Seed Isttute of Scece ad Tecology,Hydeabd-Ida-51 1 Abstact: A fte elemet metod volvg collocato metod wt septc B-sples as bass fuctos as bee developed to solve t ode bouday value poblems. Te t, egt ad sevet ode devatves fo te depedet vaable s appoxmated by te fte dffeeces. Te bass fuctos ae edefed to a ew set of bass fuctos wc umbe matc wt te umbe of collocated pots selected te space vaable doma. Te poposed metod s tested o two lea ad oe olea bouday value poblems. Te soluto to a olea poblem as bee obtaed as te lmt of a sequece of solutos of lea poblems geeated by te quasleazato tecque. Numecal esults obtaed by te peset metod ae good ageemet wt te exact solutos avalable te lteatue. Keywods: Collocato metod, Septc B-sple, Nt ode bouday value poblem, Absolute eo. I. INTRODUCTION I ts pape, we cosde a geeal t ode bouday value poblem ( 9 ) ( 8 ) ( 7 ) ( 6 ) ( 5 ) y ( x ) y ( x ) y ( x ) y ( x ) y ( x ) 1 4 (4) y ( x ) y ( x ) y ( x ) y ( x ) y ( x ) b ( x ), c x d subect to bouday codtos y ( c ) A, y ( d ) C, y ( c ) A, y ( d ) C, y ( c ) A, y ( d ) C, y ( c ) A, y ( d ) C, y ( c ) A wee A, A 1, A, A, A 4,C, C 1, C, C, ae fte eal costats ad a (x), a 1 (x), a (x), a (x), a 4 (x), a 5 (x), a 6 (x), a 7 (x), a 8 (x), a 9 (x) ad b(x) ae all cotuous fuctos defed o te teval [c, d]. Te t-ode bouday value poblems ae kow to ase te study of astopyscs, ydodyamc ad ydo magetc stablty [5]. A class of caactestc-value poblems of ge ode (as ge as twety fou) s kow to ase ydodyamc ad ydomagetc stablty [5]. Te exstece ad uqueess of te soluto fo tese types of poblems ave bee dscussed Agawal []. Fdg te aalytcal solutos of suc type of bouday value geeal s ot possble. Ove te yeas, may eseaces ave woked o t-ode bouday value poblems by usg dffeet metods fo umecal solutos. Cawla ad Katt [6] developed a fte dffeece sceme fo te soluto of a specal case of olea ge ode two pot bouday value poblems. Wazwaz [16] developed te soluto of a specal type of ge ode bouday value poblems by usg te modfed Adoma decomposto metod. Hassa ad Etuk [1] povded soluto of dffeet types of lea ad olea ge ode bouday value poblems by usg Dffeetal tasfomato metod. Tauseef ad Amet [14] peseted te soluto of t ad tet ode bouday value poblems by usg omotopy petubato metod wtout ay dscetzato, leazato o estctve assumptos. Tauseef ad Amet [15] developed modfed vaatoal metod fo solvg t ad tet ode bouday value poblems toducg He s polyomals te coecto fuctoal. Jafa ad S [8] peseted omotopy petubato metod fo solvg te bouday value poblems of ge ode by efomulatg tem as a equvalet system of tegal equatos. Tawfq ad Yasse [9] developed semaalytc tecque fo te soluto of ge ode bouday value poblems usg two-pot oscllatoy tepolato to costuct polyomal soluto. Hossa ad Islam [] peseted te Galek metod wt Legede polyomals as bass fuctos fo te soluto of odd ge ode bouday value poblems. Sam [1] developed spectal collocato metod fo te soluto of m t ode bouday value poblems wt elp of Tcebysev polyomals by covetg te gve dffeetal equato to a system of fst ode bouday value poblems. So fa, t ode bouday value poblems ave ot bee solved by usg collocato metod wt septc B-sples as bass fuctos. I ts pape, we ty to peset a smple fte elemet metod wc volves collocato appoac wt septc B-sples as bass fuctos to solve te t ode bouday value poblem of te type (1)-(). Ts pape s ogazed as follows. I secto II of ts pape, te ustfcato fo usg te collocato metod as bee metoed. I secto III, te defto of septc B-sples as bee descbed. I secto IV, descpto of Page 8 (1) ()
2 te collocato metod wt septc B-sples as bass fuctos as bee peseted ad secto V, soluto pocedue to fd te odal paametes s peseted. I secto VI, umecal examples of bot lea ad olea bouday value poblems ae peseted. Te soluto to a olea poblem as bee obtaed as te lmt of a sequece of soluto of lea poblems geeated by te quasleazato tecque [4]. Fally, te last secto s dealt wt coclusos of te pape. II. JUSTIFICATION FOR USING COLLOCATION METHOD I fte elemet metod (FEM) te appoxmate soluto ca be wtte as a lea combato of bass fuctos wc costtute a bass fo te appoxmato space ude cosdeato. FEM volves vaatoal metods lke Rtzs appoac, Galeks appoac, least squaes metod ad collocato metod etc. Te collocato metod seeks a appoxmate soluto by equg te esdual of te dffeetal equato to be detcally zeo at N selected pots te gve space vaable doma wee N s te umbe of bass fuctos te bass [1]. Tat meas, to get a accuate soluto by te collocato metod oe eeds a set of bass fuctos wc umbe matc wt te umbe of collocato pots selected te gve space vaable doma. Fute, te collocato metod s te easest to mplemet amog te vaatoal metods of FEM. We a dffeetal equato s appoxmated by m t ode B-sples, t yelds (m + 1) t ode accuate esults [11]. Hece ts motvated us to solve a t ode bouday value poblem of type (1)-() by collocato metod wt septc B-sples as bass fuctos. III. DEFINITION OF SEPTIC B-SPLINES Te septc B-sples ae defed [7, 11, 1]. Te exstece of septc sple tepolate s(x) to a fucto a closed teval [c, d] fo spaced kots (eed ot be evely spaced) of a patto c = x < x 1 < < x -1 < x = d s establsed by costuctg t. Te costucto of s(x) s doe wt te elp of te septc B-sples. Itoduce foutee addtoal kots x -7, x -6, x -5, x -4, x -, x -, x -1, x +1, x +, x +, x +4, x +5, x +6 ad x +7 suc a way tat x -7 <x -6 <x -5 <x -4 <x - <x - <x -1 <x ad x <x +1 <x + <x + <x +4 < x +5 < x +6 < x +7. Now te septc B-sples B ( x )' s ae defed by 4 ( x x) B x x ( ) 4 ( ), 7, x [ x, x ] 4 4 o t e w se wee ( ), 7 x x f x x ( x x), f x x 7 ad 4 ( x ) ( x x ) 4 wee {B - (x), B - (x), B -1 (x), B (x), B 1 (x),,b (x), B +1 (x), B + (x), B + (x)} foms a bass fo te space s 7 ( ) of septc polyomal sples. Scoebeg [1] as poved tat septc B-sples ae te uque ozeo sples of smallest compact suppot wt te kots at x -7 <x -6 <x -5 <x -4 <x - <x - <x -1 <x <x 1 < <x -1 <x <x +1 <x + <x + <x +4 <x +5 <x +6 <x +7. IV. DESCRIPTION OF THE METHOD To solve te bouday value poblem (1) subect to bouday codtos () by te collocato metod wt septc B-sples as bass fuctos, we defe te appoxmato fo y( x ) as y ( x ) B ( x ) () Page 9
3 Wee ' s ae te odal paametes to be detemed ad B ( x ) ' s ae septc B-sple bass fuctos. I te peset metod, te mes pots x, x,..., x, x ae selected as te collocato pots. I collocato metod, 1 te umbe of bass fuctos te appoxmato sould matc wt te umbe of collocato pots [6]. Hee te umbe of bass fuctos te appoxmato () s +7, wee as te umbe of selected collocato pots s -. So, tee s a eed to edefe te bass fuctos to a ew set of bass fuctos wc umbe matc wt te umbe of selected collocato pots. Te pocedue fo edefg te bass fuctos s as follows: Usg te defto of septc B-sples, te Dclet, Neuma, secod ode devatves bouday codtos, td ode devatve bouday codtos ad fout ode devatve bouday codto of (), we get te appoxmate soluto at te bouday pots as y ( c ) y ( x ) ( ) B x A (4) (5) y ( d ) y ( x ) B ( x ) C y ( c ) y ( x ) B ( x ) A 1 (6) 1 (7) y ( d ) y ( x ) B ( x ) C y ( c ) y ( x ) B ( x ) A (8) (9) y ( d ) y ( x ) B ( x ) C (1) y ( c ) y ( x ) B ( x ) A y ( d ) y ( x ) B ( x ) C (11) ( ) ( ) ( ) 4 (1) y c y x B x A Elmatg,,,,,,, ad fom te equatos () to (1), we get te appoxmato fo y(x) as 1 y ( x ) w ( x ) T ( x ) (1) Wee 1 A w ( x ) 4 w ( x ) w ( x ) S ( x ) 4 ( 4) 1 S ( x ) Page 4
4 A w ( x ) C w ( x ) w ( x ) w ( x ) R ( x ) R ( x ) 4 R( x ) R( x ) A w ( x ) C w ( x ) w ( x ) w ( x ) Q ( x ) Q ( x ) 1 1 Q ( x ) Q ( x ) 1 1 A w ( x ) C w ( x ) w ( x ) w ( x ) P ( x ) P ( x ) 1 P ( x ) P ( x ) A C w ( x ) B ( x ) B ( x ) 1 B ( x ) B ( x ) S ( x ) S ( x ) S ( x ), 1 T ( x) ( ) S x 1, S ( x ), 4, 5,..., 1 (14) R( x ) R ( x ) R ( x ), R( x ) 1,, S ( x ) ( ), R x 4, 5,..., 4 R( x ) R ( x ) R ( x ), R( x ),, 1 Q ( x ) Q ( x ) Q ( x ),,1,, 1 Q ( x ) 1 R ( x ) ( ), 4, 5,..., 4 Q x Q ( x ) Q ( x ) Q ( x ),,, 1, 1 Q ( x ) 1 P( x ) P ( x ) P ( x ), 1,,1,, P ( x ) Q ( x ) ( ), 4, 5,..., 4 P x P( x ) P ( x ) P ( x ),,, 1,, 1 P ( x ) B ( x ) B ( x ) B ( x ),, 1,,1,, B ( x ) P ( x ) ( ), 4, 5,..., 4 B x B ( x ) B ( x ) B ( x ),,, 1,, 1, B ( x ) Page 41
5 Now te ew bass fuctos fo te appoxmato y(x) ae {T (x), =,,, -1} ad tey ae umbe matc wt te umbe of selected collocated pots. Sce te appoxmato fo y(x) (1) s a septc appoxmato, let us appoxmate y (7), y (8) ad y (9) at te selected collocato pots wt fte dffeeces as ( 6 ) ( 6 ) ( 7 ) y y 1 1 y fo,,..., 1 (15) ( 7 ) ( 7 ) ( 7 ) ( 8 ) y y y 1 1 y fo,,..., 1 (16) ( 7 ) y y y y 1 1 y fo,,..., (17) ( 9 ) y y y y 1 y fo 1 (18) wee 1 y y ( x ) w ( x ) T ( x ) (19) Now applyg te collocato metod to (1), we get ( 9 ) ( 8 ) ( 7 ) ( 6 ) ( 5 ) y y y y y y y y y y b ( x ) fo,,, Substtutg (15) to (19) (), we get () ( 6 ) ( 6 ) ( 6 ) w ( x ) S ( x ) w ( x ) S ( x ) w ( x ) S ( x ) w ( x ) ( 6 ) S ( x ) ( 6 ) ( 6 ) ( 6 ) ( 6 ) ( 6 ) ( 6 ) w ( x ) T ( x ) w ( x 1 ) ( ) ( ) ( ) 1 T x w x T x w ( x ) T ( x ) w ( x ) T ( x ) ( 6 ) ( 6 ) ( 5 ) ( 5 ) w ( x ) T ( x ) w ( x ) T 4 ( x ) ( ) ( ) ( ) a x 5 w x T x 1 1 w ( x ) T ( x ) w ( x ) T ( x ) ( ) ( ) ( ) ( ) ( ) 8 w x T x a x w x T x 9 fo =,,, -. (1) Page 4
6 1 1 1 ( 6 ) ( 6 ) ( 6 ) w ( x ) ( ) ( ) ( ) ( ) ( ) ( ) S x w x S x w x S x w x ( 6 ) S ( x ) 1 1 ( 6 ) ( 6 ) ( 6 ) w ( x ) T ( x ) w ( x ) 1 1 ( 6 ) ( 6 ) ( 6 ) T ( x ) w ( x ) T ( x ) w ( x ) T ( x ) w ( x ) T ( x ) ( 6 ) ( 6 ) ( 5 ) ( 5 ) w ( x ) T ( x ) w ( x ) T 4 ( x ) ( ) ( ) ( ) a x 5 w x T x 1 1 w ( x ) T ( x ) w ( x ) T ( x ) w ( x ) T ( x ) w ( x ) T ( x ) 8 9 fo =-1. () Reaagg te tems ad wtg te system of equatos (1) ad () matx fom, we get A B () wee A [ ]; a 1 ( 6 ) ( 6 ) ( 6 ) a T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) ( 6 ) ( 6 ) ( 6 ) ( 5 ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) T x a x T x a x T x a x T x fo =,., -; =,,, -1. (4) 1 ( 6 ) ( 6 ) ( 6 ) a T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) 1 1 ( 6 ) ( 6 ) ( 6 ) ( 5 ) T ( x ) T ( x ) T ( x ) T ( x ) T ( x ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) T x a x T x a x T x a x T x fo = -1; =,,, -1. (5) B [ b ]; 1 ( 6 ) ( 6 ) ( 6 ) b w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) ( 6 ) ( 6 ) ( 6 ) ( 5 ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) ( ) ( ) ( ) ( ) ( ) ( ) w ( x ) a 6 7 x w x a 8 x w x a 9 x w x fo =,,, -. (6) Page 4
7 1 ( 6 ) ( 6 ) ( 6 ) b w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) ( 6 ) ( 6 ) ( 6 ) ( 5 ) w ( x ) w ( x ) w ( x ) w ( x ) w ( x ) ) ( ) ( ) ( ) ( ) ( ) w ( x ) a ( x w x a x w x a x w x fo = -1. (7) ad [,,, ] T. 1 V. SOLUTION PROCEDURE TO FIND THE NODAL PARAMETERS Te bass fucto S ( x ) s defed oly te teval [ x, x ] ad outsde of ts teval t s zeo. 4 4 Also at te ed pots of te teval [ x, x ] te bass fucto T ( x ) vases. Teefoe, T ( x ) s 4 4 avg o-vasg values at te mes pots x, x, x, x, x ad zeo at te ote mes pots. Te 1 1 fst fou devatves of T ( x ) also ave te same atue at te mes pots as te case of T ( x ). Usg tese facts, we ca say tat te Tus te stff matx A s a twelve dagoal bad matx. Teefoe, te system of equatos () s a tweleve bad system ' s. Te odal paametes ' s ca be obtaed by usg bad matx soluto package. We ave used te FORTRAN-9 pogammg to solve te bouday value poblem (1)-() by te poposed metod VI. NUMERICAL RESULTS To demostate te applcablty of te poposed metod fo solvg te t ode bouday value poblems of te type (1) ad (), we cosdeed two lea ad oe olea bouday value poblems. Te obtaed umecal esults fo eac poblem ae peseted tabula foms ad compaed wt te exact solutos avalable te lteatue. Example 1: Cosde te lea bouday value poblem ( 9 ) y y 9 e x, x 1 (8) subect to y ( ) 1, y (1), y ( ), y (1) e, y ( ) 1, y (1) e, y ( ), y (1) e, y ( ). x Te exact soluto fo te above poblem s y x (1 x ) e. Te poposed metod s tested o ts poblem wee te doma [, 1] s dvded to 1 equal subtevals. Te obtaed umecal esults fo ts poblem ae gve Table 1. Te maxmum absolute eo obtaed by 5 te poposed metod s Table 1: Numecal esults fo Example 1 Absolute eo by x te poposed metod E E E E-5 Page 44
8 Example : Cosde te E E E E E-5 lea bouday value poblem ( 9 ) ( 7 ) y y xy y s x y y 5 xs x co sx x co sx xs x s xco sx xco sx, x 1 subect to y ( ), y (1) co s1, y ( ) 1, y (1) co s1 s1, y ( ), y (1) s1 co s1, (9) y ( ), y (1) co s1 s1, y ( ). Te exact soluto fo te above poblem s y x c o s x. Te poposed metod s tested o ts poblem wee te doma [, 1] s dvded to 1 equal subtevals. Te obtaed umecal esults fo ts poblem ae gve Table. Te maxmum absolute eo obtaed by 5 te poposed metod s Table : Numecal esults fo Example Absolute eo by x te poposed metod E E E E E E E E E-6 Example : Cosde te olea bouday value poblem ( 9 ) y y y co s x, x 1 () subect to y ( ), y (1) s1, y ( ) 1, y (1) co s1, y ( ), y (1) s1, y ( ) 1, y (1) co s1, y ( ). Te exact soluto fo te above poblem s y s x. Te olea bouday value poblem () s coveted to a sequece of lea bouday value poblems geeated by quasleazato tecque [] as ( 9 ) y y y y y y c o s x y y,1,,... (1) ( 1 ) ( ) ( 1 ) ( ) ( ) ( 1 ) ( ) ( ) Subect to y ( ), y (1) s1, y ( ) 1, y (1) c o s1, y ( ), y (1) s1, ( 1) ( 1) ( 1) ( 1) ( 1) ( 1) y ( ) 1, y (1) c o s1, y ( ). ( 1) ( 1) ( 1) Page 45
9 Hee y s te ( 1) t appoxmato fo y( x ). Te doma [, 1] s dvded to 1 equal subtevals ( 1 ) ad te poposed metod s appled to te sequece of lea poblems (1). Te obtaed umecal esults fo ts poblem ae peseted Table. Te maxmum absolute eo obtaed by te poposed metod s.8616x1-5. Table : Numecal esults fo Example Absolute eo by x te poposed metod E E E E E E E E E-5 VII. CONCLUSIONS I ts pape, we ave developed a collocato metod wt septc B-sples as bass fuctos to solve t ode bouday value poblems. Hee we ave take mes pots x, x,..., x, x as te collocato 1 pots. Te septc B-sple bass set as bee edefed to a ew set of bass fuctos wc umbe matc wt te umbe of selected collocato pots. Te poposed metod s appled to solve seveal umbe of lea ad o-lea poblems to test te effcecy of te metod. Te umecal esults obtaed by te poposed metod ae good ageemet wt te exact solutos avalable te lteatue. Te obectve of ts pape s to peset a smple metod to solve a t ode bouday value poblem ad ts easess fo mplemetato. REFERENCES [1] Abdel-Halm Hassa, I.H. Vedat Suat Etuk. Solutos of dffeet types of te lea ad olea ge ode bouday value poblems by Dffeetal tasfomato metod, Euopea Joual of Pue ad Appled Matematcs, 9, (), pp [] Agawal, R.P. Bouday Value Poblems fo Hge Ode Dffeetal Equatos, 1986, Wold Scetfc, Sgapoe. [] Bellal Hossa, M.d. Safqul Islam, M.d. A Novel Numecal appoac fo odd ge ode bouday value poblems, Matematcal Teoy ad Modelg, 14, 4(5) (14), pp [4] Bellma, R.E.; Kalaba, R.E. Quasleazato ad Nolea Bouday Value Poblems, 1965, Ameca Elseve, New Yok. [5] Cadaseka, S. Hydodyamc ad Hydomagetc Stablty, 1981, Dove, New Yok. [6] Cawla, M.M., Katt, C.P. Fte dffeece metods fo two-pot bouday value poblems volvg g ode dffeetal equatos, BIT, 1979, 19, pp. 7-. [7] Cal de-boo. A Patcal Gude to Sples, 1978, Spge-Velag. [8] Jafa Sabe-Nadaf, S Zamatkes. Homotopy petubato metod fo solvg ge ode bouday value poblems, Appled Matematcal ad Computatoal Sceces, 1, 1(), pp [9] Luma N.M.Tawfq, Samae M.Yasse, Soluto of ge ode bouday value poblems usg Sem- Aalytc tecque, Ib Al-Hatam Joual fo Pue ad Appled Scece, 1, 6(1), pp [1] Reddy, J.N. A Itoducto to te Fte Elemet Metod, d Edto, 5, Tata Mc-GawHll Publsg Compay Ltd., New Del. [11] Pete, P.M. Sples ad Vaatoal Metods, 1989, Jo-Wley ad Sos, New Yok. [1] Sam Kuma Bowmk. Tcebycev polyomal appoxmatos fo mt ode bouday value poblems, Iteatoal Joual of Pue ad Appled Matematcs, 15, 98(1), pp [1] Scoebeg, I.J. O Sple Fuctos, MRC Repot 65, 1966, Uvesty of Wscos. Page 46
10 [14] Syed Tauseef Moyud-D, Amet Yldm. Soluto of tet ad t ode bouday value poblems by omotopy petubato metod, J.KSIAM, 1, 14(1), pp [15] Syed Tauseef Moyud-D, Amet Yldm. Solutos of tet ad t ode bouday value poblems by modfed vaatoal teato metod metod, Applcatos ad Appled Matematcs: A Iteatoal Joual (AAM), 1, 5(1), pp [16] Wazwaz, A.M. Appoxmate solutos to bouday value poblems of ge ode by te modfed decomposto metod, Computes ad Matematcs wt Applcatos,, 4, pp Page 47
International Journal of Computer Science and Electronics Engineering (IJCSEE) Volume 3, Issue 1 (2015) ISSN (Online)
Numecal Soluto of Ffth Oe Bouay Value Poblems by Petov-Galek Metho wth Cubc B-sples as Bass Fuctos Qutc B-sples as Weght Fuctos K.N.S.Kas Vswaaham, S.M.Rey Abstact Ths pape eals wth a fte elemet metho
More informationLegendre-coefficients Comparison Methods for the Numerical Solution of a Class of Ordinary Differential Equations
IOSR Joual of Mathematcs (IOSRJM) ISS: 78-578 Volume, Issue (July-Aug 01), PP 14-19 Legede-coeffcets Compaso Methods fo the umecal Soluto of a Class of Oday Dffeetal Equatos Olaguju, A. S. ad Olaegu, D.G.
More informationNon-axial symmetric loading on axial symmetric. Final Report of AFEM
No-axal symmetc loadg o axal symmetc body Fal Repot of AFEM Ths poject does hamoc aalyss of o-axal symmetc loadg o axal symmetc body. Shuagxg Da, Musket Kamtokat 5//009 No-axal symmetc loadg o axal symmetc
More informationThe Linear Probability Density Function of Continuous Random Variables in the Real Number Field and Its Existence Proof
MATEC Web of Cofeeces ICIEA 06 600 (06) DOI: 0.05/mateccof/0668600 The ea Pobablty Desty Fucto of Cotuous Radom Vaables the Real Numbe Feld ad Its Estece Poof Yya Che ad Ye Collee of Softwae, Taj Uvesty,
More information1. INTRODUCTION In this paper, we consider a general ninth order linear boundary value problem (1) subject to boundary conditions
NUMERICAL SOLUTION OF NINTH ORDER BOUNDARY VALUE PROBLEMS BY PETROV-GALERKIN METHOD WITH QUINTIC B-SPLINES AS BASIS FUNCTIONS AND SEXTIC B-SPLINES AS WEIGHT FUNCTIONS K. N. S. Kas Vswaaham a S. V. Kamay
More informationApplication Of Alternating Group Explicit Method For Parabolic Equations
WSEAS RANSACIONS o INFORMAION SCIENCE ad APPLICAIONS Qghua Feg Applcato Of Alteatg oup Explct Method Fo Paabolc Equatos Qghua Feg School of Scece Shadog uvesty of techology Zhagzhou Road # Zbo Shadog 09
More informationSEPTIC B-SPLINE COLLOCATION METHOD FOR SIXTH ORDER BOUNDARY VALUE PROBLEMS
VOL. 5 NO. JULY ISSN 89-8 RN Joul of Egeeg d ppled Sceces - s Resech ulshg Netok RN. ll ghts eseved..pouls.com SETIC -SLINE COLLOCTION METHOD FOR SIXTH ORDER OUNDRY VLUE ROLEMS K.N.S. Ks Vsdhm d. Mul Ksh
More informationGREEN S FUNCTION FOR HEAT CONDUCTION PROBLEMS IN A MULTI-LAYERED HOLLOW CYLINDER
Joual of ppled Mathematcs ad Computatoal Mechacs 4, 3(3), 5- GREE S FUCTIO FOR HET CODUCTIO PROBLEMS I MULTI-LYERED HOLLOW CYLIDER Stasław Kukla, Uszula Sedlecka Isttute of Mathematcs, Czestochowa Uvesty
More informationsuch that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1
Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9
More informationRECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S
Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets
More information( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi
Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)
More informationTrace of Positive Integer Power of Adjacency Matrix
Global Joual of Pue ad Appled Mathematcs. IN 097-78 Volume, Numbe 07), pp. 079-087 Reseach Ida Publcatos http://www.publcato.com Tace of Postve Itege Powe of Adacecy Matx Jagdsh Kuma Pahade * ad Mao Jha
More informationMinimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index
Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,
More information= y and Normed Linear Spaces
304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads
More informationUniversity of Pavia, Pavia, Italy. North Andover MA 01845, USA
Iteatoal Joual of Optmzato: heoy, Method ad Applcato 27-5565(Pt) 27-6839(Ole) wwwgph/otma 29 Global Ifomato Publhe (HK) Co, Ltd 29, Vol, No 2, 55-59 η -Peudoleaty ad Effcecy Gogo Gog, Noma G Rueda 2 *
More informationRecent Advances in Computers, Communications, Applied Social Science and Mathematics
Recet Advaces Computes, Commucatos, Appled ocal cece ad athematcs Coutg Roots of Radom Polyomal Equatos mall Itevals EFRAI HERIG epatmet of Compute cece ad athematcs Ael Uvesty Cete of amaa cece Pa,Ael,4487
More informationThe Exponentiated Lomax Distribution: Different Estimation Methods
Ameca Joual of Appled Mathematcs ad Statstcs 4 Vol. No. 6 364-368 Avalable ole at http://pubs.scepub.com/ajams//6/ Scece ad Educato Publshg DOI:.69/ajams--6- The Expoetated Lomax Dstbuto: Dffeet Estmato
More informationAn Unconstrained Q - G Programming Problem and its Application
Joual of Ifomato Egeeg ad Applcatos ISS 4-578 (pt) ISS 5-0506 (ole) Vol.5, o., 05 www.ste.og A Ucostaed Q - G Pogammg Poblem ad ts Applcato M. He Dosh D. Chag Tved.Assocate Pofesso, H L College of Commece,
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More informationFairing of Parametric Quintic Splines
ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}
More informationLecture 10: Condensed matter systems
Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato
More informationOn EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx
Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.
More informationBERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler
Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,
More informationIterative Algorithm for a Split Equilibrium Problem and Fixed Problem for Finite Asymptotically Nonexpansive Mappings in Hilbert Space
Flomat 31:5 (017), 143 1434 DOI 10.98/FIL170543W Publshed by Faculty of Sceces ad Mathematcs, Uvesty of Nš, Seba Avalable at: http://www.pmf..ac.s/flomat Iteatve Algothm fo a Splt Equlbum Poblem ad Fxed
More informationON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE
O The Covegece Theoems... (Muslm Aso) ON THE CONVERGENCE THEOREMS OF THE McSHANE INTEGRAL FOR RIESZ-SPACES-VALUED FUNCTIONS DEFINED ON REAL LINE Muslm Aso, Yosephus D. Sumato, Nov Rustaa Dew 3 ) Mathematcs
More informationare positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.
Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called
More informationNoncommutative Solitons and Quasideterminants
Nocommutatve Soltos ad Quasdetemats asas HNK Nagoya Uvesty ept. o at. Teoetcal Pyscs Sema Haove o eb.8t ased o H ``NC ad's cojectue ad tegable systems NP74 6 368 ep-t/69 H ``Notes o eact mult-solto solutos
More informationInequalities for Dual Orlicz Mixed Quermassintegrals.
Advaces Pue Mathematcs 206 6 894-902 http://wwwscpog/joual/apm IN Ole: 260-0384 IN Pt: 260-0368 Iequaltes fo Dual Olcz Mxed Quemasstegals jua u chool of Mathematcs ad Computatoal cece Hua Uvesty of cece
More informationXII. Addition of many identical spins
XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.
More informationA 5-Step Block Predictor and 4-Step Corrector Methods for Solving General Second Order Ordinary Differential Equations
Global Joual o Pue ad ppled Matematcs ISSN 97-78 Volume, Numbe (), pp 87-8 Reseac Ida Publcatos ttp://wwwpublcatocom -Step lock Pedcto ad -Step Coecto Metods o Solvg Geeal Secod Ode Oda Deetal Equatos
More informationRANDOM SYSTEMS WITH COMPLETE CONNECTIONS AND THE GAUSS PROBLEM FOR THE REGULAR CONTINUED FRACTIONS
RNDOM SYSTEMS WTH COMPETE CONNECTONS ND THE GUSS PROBEM FOR THE REGUR CONTNUED FRCTONS BSTRCT Da ascu o Coltescu Naval cademy Mcea cel Bata Costata lascuda@gmalcom coltescu@yahoocom Ths pape peset the
More informationExponential Generating Functions - J. T. Butler
Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle
More informationBest Linear Unbiased Estimators of the Three Parameter Gamma Distribution using doubly Type-II censoring
Best Lea Ubased Estmatos of the hee Paamete Gamma Dstbuto usg doubly ype-ii cesog Amal S. Hassa Salwa Abd El-Aty Abstact Recetly ode statstcs ad the momets have assumed cosdeable teest may applcatos volvg
More informationGeneral Method for Calculating Chemical Equilibrium Composition
AE 6766/Setzma Sprg 004 Geeral Metod for Calculatg Cemcal Equlbrum Composto For gve tal codtos (e.g., for gve reactats, coose te speces to be cluded te products. As a example, for combusto of ydroge wt
More informationFIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES
Joual of Appled Matheatcs ad Coputatoal Mechacs 7, 6(), 59-7 www.ac.pcz.pl p-issn 99-9965 DOI:.75/jac.7..3 e-issn 353-588 FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL
More informationAPPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Budi Santoso
APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS Bud Satoso ABSTRACT APPROXIMATE ANALYTIC WAVE FUNCTION METHOD IN ELECTRON ATOM SCATTERING CALCULATIONS. Appoxmate aalytc
More informationCHAPTER 4 RADICAL EXPRESSIONS
6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube
More informationDerivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations
Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationA Convergence Analysis of Discontinuous Collocation Method for IAEs of Index 1 Using the Concept Strongly Equivalent
Appled ad Coputatoal Matheatcs 27; 7(-): 2-7 http://www.scecepublshggoup.co//ac do:.648/.ac.s.287.2 ISSN: 2328-565 (Pt); ISSN: 2328-563 (Ole) A Covegece Aalyss of Dscotuous Collocato Method fo IAEs of
More informationC-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory
ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?
More informationA DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES
Mathematcal ad Computatoal Applcatos, Vol. 3, No., pp. 9-36 008. Assocato fo Scetfc Reseach A DATA DRIVEN PARAMETER ESTIMATION FOR THE THREE- PARAMETER WEIBULL POPULATION FROM CENSORED SAMPLES Ahmed M.
More informationFractional Integrals Involving Generalized Polynomials And Multivariable Function
IOSR Joual of ateatcs (IOSRJ) ISSN: 78-578 Volue, Issue 5 (Jul-Aug 0), PP 05- wwwosoualsog Factoal Itegals Ivolvg Geealzed Poloals Ad ultvaable Fucto D Neela Pade ad Resa Ka Deatet of ateatcs APS uvest
More informationLecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES
FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato
More informationBeam Warming Second-Order Upwind Method
Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationDistributed Nonlinear Model Predictive Control by Sequential Linearization and Accelerated Gradient Method
Dstbuted Nolea odel Pedctve Cotol by Sequetal Leazato ad cceleated Gadet ethod lexada Gachaova, o. Johase, Valea Petova Depatmet of Idustal utomato, Uvesty of Chemcal echology ad etallugy, Bul. Kl. Ohdsk
More informationPhys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time
Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple
More informationNUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES
NUMERICAL SIMULATION OF TSUNAMI CURRENTS AROUND MOVING STRUCTURES Ezo Nakaza 1, Tsuakyo Ibe ad Muhammad Abdu Rouf 1 The pape ams to smulate Tsuam cuets aoud movg ad fxed stuctues usg the movg-patcle semmplct
More informationA Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions
Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple
More informationDistribution of Geometrically Weighted Sum of Bernoulli Random Variables
Appled Mathematc, 0,, 8-86 do:046/am095 Publhed Ole Novembe 0 (http://wwwscrpog/oual/am) Dtbuto of Geometcally Weghted Sum of Beoull Radom Vaable Abtact Deepeh Bhat, Phazamle Kgo, Ragaath Naayaachaya Ratthall
More informationChapter 3. Differentiation 3.2 Differentiation Rules for Polynomials, Exponentials, Products and Quotients
3.2 Dfferetato Rules 1 Capter 3. Dfferetato 3.2 Dfferetato Rules for Polyomals, Expoetals, Proucts a Quotets Rule 1. Dervatve of a Costat Fucto. If f as te costat value f(x) = c, te f x = [c] = 0. x Proof.
More informationChapter 9 Jordan Block Matrices
Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.
More informationESS Line Fitting
ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here
More informationMATH 247/Winter Notes on the adjoint and on normal operators.
MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say
More informationVECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.
Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth
More informationThe Deformation of Cylindrical Shells Subjected to Radial Loads Using Mixed Formulation and Analytic Solutions
Uvesal Joual of Mechacal Egeeg (4): 8-3, 03 DOI: 0.389/ujme.03.00404 http://www.hpub.og The Defomato of Cyldcal Shells Subjected to Radal Loads Usg Mxed Fomulato ad Aalytc Solutos Lusa R. Maduea,*, Elza
More informationOverview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition
ylcal aplace Soltos ebay 6 9 aplace Eqato Soltos ylcal Geoety ay aetto Mechacal Egeeg 5B Sea Egeeg Aalyss ebay 6 9 Ovevew evew last class Speposto soltos tocto to aal cooates Atoal soltos of aplace s eqato
More informationStability Analysis for Linear Time-Delay Systems. Described by Fractional Parameterized. Models Possessing Multiple Internal. Constant Discrete Delays
Appled Mathematcal Sceces, Vol. 3, 29, o. 23, 5-25 Stablty Aalyss fo Lea me-delay Systems Descbed by Factoal Paametezed Models Possessg Multple Iteal Costat Dscete Delays Mauel De la Se Isttuto de Ivestgacó
More informationPGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation
PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad
More informationAnalysis of Lagrange Interpolation Formula
P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal
More informationX ε ) = 0, or equivalently, lim
Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece
More informationRobust Regression Analysis for Non-Normal Situations under Symmetric Distributions Arising In Medical Research
Joual of Mode Appled Statstcal Methods Volume 3 Issue Atcle 9 5--04 Robust Regesso Aalyss fo No-Nomal Stuatos ude Symmetc Dstbutos Asg I Medcal Reseach S S. Gaguly Sulta Qaboos Uvesty, Muscat, Oma, gaguly@squ.edu.om
More informationMinimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses
Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)
More informationAtomic units The atomic units have been chosen such that the fundamental electron properties are all equal to one atomic unit.
tomc uts The atomc uts have bee chose such that the fudametal electo popetes ae all equal to oe atomc ut. m e, e, h/, a o, ad the potetal eegy the hydoge atom e /a o. D3.33564 0-30 Cm The use of atomc
More informationNumerical Analysis Formulae Booklet
Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx
More informationNumerical Solution of Non-equilibrium Hypersonic Flows of Diatomic Gases Using the Generalized Boltzmann Equation
Recet Advaces Flud Mechacs, Heat & Mass asfe ad Bology Numecal Soluto of No-equlbum Hypesoc Flows of Datomc Gases Usg the Geealzed Boltzma Equato RAMESH K. AGARWAL Depatmet of Mechacal Egeeg ad Mateals
More informationChapter 3. Differentiation 3.3 Differentiation Rules
3.3 Dfferetato Rules 1 Capter 3. Dfferetato 3.3 Dfferetato Rules Dervatve of a Costat Fucto. If f as te costat value f(x) = c, te f x = [c] = 0. x Proof. From te efto: f (x) f(x + ) f(x) o c c 0 = 0. QED
More informationLearning Bayesian belief networks
Lectue 6 Leag Bayesa belef etwoks Mlos Hauskecht mlos@cs.ptt.edu 5329 Seott Squae Admstato Mdtem: Wedesday, Mach 7, 2004 I class Closed book Mateal coveed by Spg beak, cludg ths lectue Last yea mdtem o
More informationNew approach for Finite Difference Method for Thermal Analysis of Passive Solar Systems
New appoach fo Fte Dffeece Method fo hemal Aalyss of Passve Sola Systems Stako Shtakov ad Ato Stolov Depatmet of Compute s systems, South - West Uvesty Neoft Rlsk, Blagoevgad, BULGARIA, (Dated: Febuay
More informationAn Expanded Method to Robustly Practically. Output Tracking Control. for Uncertain Nonlinear Systems
It Joual of Math Aalyss, Vol 8, 04, o 8, 865-879 HIKARI Ltd, wwwm-hacom http://ddoog/0988/jma044368 A Epaded Method to Robustly Pactcally Output Tacg Cotol fo Uceta Nolea Systems Keyla Almha, Naohsa Otsua,
More informationA Production Model for Time Dependent Decaying Rate with Probabilistic Demand
www.jem.et ISSN (ONLINE: 5-758, ISSN (PRIN: 394-696 Volume-7, Issue-3, May-Jue 7 Iteatoal Joual of Egeeg ad Maagemet Reseach Page Numbe: 4-47 A Poducto Model fo me Depedet Decayg Rate wth Pobablstc Demad
More informationFREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM
Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,
More informationA 2D Benchmark for the Verification of the PEBBED Code
INL/CON-07-13375 PREPRINT A D Bechma fo the Vefcato of the PEBBED Code Iteatoal Cofeece o Reacto Physcs, Nuclea Powe: A Sustaable Resouce Bay D. Gaapol Has D. Gouga Abdeaf M. Ougouag Septembe 8 Ths s a
More informationObjectives of Meeting Movements - Application for Ship in Maneuvering
Iteatoal Joual of Mechacal Egeeg ad Applcatos 25; 3(3-): 49-56 Publshed ole May 6, 25 (http://www.scecepublshggoup.com//mea) do:.648/.mea.s.2533.8 ISSN: 233-23X (Pt); ISSN: 233-248 (Ole) Obectves of Meetg
More informationA New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming
ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research
More informationAsymptotic Formulas Composite Numbers II
Iteratoal Matematcal Forum, Vol. 8, 203, o. 34, 65-662 HIKARI Ltd, www.m-kar.com ttp://d.do.org/0.2988/mf.203.3854 Asymptotc Formulas Composte Numbers II Rafael Jakmczuk Dvsó Matemátca, Uversdad Nacoal
More informationCS5620 Intro to Computer Graphics
CS56 Itro to Computer Graphcs Geometrc Modelg art II Geometrc Modelg II hyscal Sples Curve desg pre-computers Cubc Sples Stadard sple put set of pots { } =, No dervatves specfed as put Iterpolate by cubc
More informationSolution of Stochastic Ordinary Differential Equations Using Explicit Stochastic Rational Runge-Kutta Schemes
Ameca Joual of Computatoal ad Appled Matematc 5, 5(4): 5- DOI:.593/j.ajcam.554. Soluto of Stocatc Oda Dffeetal Equato Ug Explct Stocatc Ratoal Ruge-Kutta Sceme M. R. Odekule, M. O. Egwuube, K. A. Joua,*
More informationCubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem
Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs
More informationd dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin
Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace
More informationNP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer
More informationResearch Article Solving Boundary Value Problem for a Nonlinear Stationary Controllable System with Synthesizing Control
Hdaw Mathematcal Poblems Egeeg Volume 7, Atcle ID 85976, 3 pages https://do.og/.55/7/85976 Reseach Atcle Solvg Bouday Value Poblem fo a Nolea Statoay Cotollable System wth Sytheszg Cotol Alexade N. Kvto,
More informationLecture 9 Multiple Class Models
Lectue 9 Multple Class Models Multclass MVA Appoxmate MVA 8.4.2002 Copyght Teemu Keola 2002 1 Aval Theoem fo Multple Classes Wth jobs the system, a job class avg to ay seve sees the seve as equlbum wth
More informationPENALTY FUNCTIONS FOR THE MULTIOBJECTIVE OPTIMIZATION PROBLEM
Joual o Mathematcal Sceces: Advaces ad Applcatos Volume 6 Numbe 00 Pages 77-9 PENALTY FUNCTIONS FOR THE MULTIOBJECTIVE OPTIMIZATION PROBLEM DAU XUAN LUONG ad TRAN VAN AN Depatmet o Natual Sceces Quag Nh
More informationA stopping criterion for Richardson s extrapolation scheme. under finite digit arithmetic.
A stoppg crtero for cardso s extrapoato sceme uder fte dgt artmetc MAKOO MUOFUSHI ad HIEKO NAGASAKA epartmet of Lbera Arts ad Sceces Poytecc Uversty 4-1-1 Hasmotoda,Sagamara,Kaagawa 229-1196 JAPAN Abstract:
More informationAllocations for Heterogenous Distributed Storage
Allocatos fo Heteogeous Dstbuted Stoage Vasleos Ntaos taos@uscedu Guseppe Cae cae@uscedu Alexados G Dmaks dmaks@uscedu axv:0596v [csi] 8 Feb 0 Abstact We study the poblem of stog a data object a set of
More informationMu Sequences/Series Solutions National Convention 2014
Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed
More informationFUZZY MULTINOMIAL CONTROL CHART WITH VARIABLE SAMPLE SIZE
A. Paduaga et al. / Iteatoal Joual of Egeeg Scece ad Techology (IJEST) FUZZY MUTINOMIA CONTRO CHART WITH VARIABE SAMPE SIZE A. PANDURANGAN Pofesso ad Head Depatmet of Compute Applcatos Vallamma Egeeg College,
More informationSecond Geometric-Arithmetic Index and General Sum Connectivity Index of Molecule Graphs with Special Structure
Iteatoal Joual of Cotempoay Mathematcal Sceces Vol 0 05 o 9-00 HIKARI Ltd wwwm-hacom http://dxdoog/0988/cms0556 Secod Geometc-Athmetc Idex ad Geeal Sum Coectty Idex of Molecule Gaphs wth Specal Stuctue
More informationJournal of Engineering Science and Technology Review 7 (2) (2014) Research Article
Jest Joual of Egeeg Scece ad echology Revew 7 () (4) 75 8 Reseach Atcle JOURNAL OF Egeeg Scece ad echology Revew www.jest.og Fuzzy Backsteppg Sldg Mode Cotol fo Msmatched Uceta System H. Q. Hou,*, Q. Mao,
More informationα1 α2 Simplex and Rectangle Elements Multi-index Notation of polynomials of degree Definition: The set P k will be the set of all functions:
Smplex ad Rectagle Elemets Mult-dex Notato = (,..., ), o-egatve tegers = = β = ( β,..., β ) the + β = ( + β,..., + β ) + x = x x x x = x x β β + D = D = D D x x x β β Defto: The set P of polyomals of degree
More informationVIKOR Method for Group Decision Making Problems with Ordinal Interval Numbers
Iteatoal Joual of Hybd Ifomato Techology, pp 67-74 http://dxdoog/04257/ht2069206 VIKOR Method fo Goup Decso Makg Poblems wth Odal Iteval Numbes Wazhe u Chagsha Vocatoal & Techcal College, Chagsha, 4000
More informationEstimation of Parameters of the Exponential Geometric Distribution with Presence of Outliers Generated from Uniform Distribution
ustala Joual of Basc ad ppled Sceces, 6(: 98-6, ISSN 99-878 Estmato of Paametes of the Epoetal Geometc Dstbuto wth Pesece of Outles Geeated fom Ufom Dstbuto Pavz Nas, l Shadoh ad Hassa Paza Depatmet of
More informationThe Infinite Square Well Problem in the Standard, Fractional, and Relativistic Quantum Mechanics
Iteatoal Joual of Theoetcal ad Mathematcal Physcs 015, 5(4): 58-65 DOI: 10.593/j.jtmp.0150504.0 The Ifte Squae Well Poblem the Stadad, Factoal, ad Relatvstc Quatum Mechacs Yuchua We 1, 1 Iteatoal Cete
More informationA Collocation Method for Solving Abel s Integral Equations of First and Second Kinds
A Collocato Method for Solvg Abel s Itegral Equatos of Frst ad Secod Kds Abbas Saadatmad a ad Mehd Dehgha b a Departmet of Mathematcs, Uversty of Kasha, Kasha, Ira b Departmet of Appled Mathematcs, Faculty
More informationˆ SSE SSE q SST R SST R q R R q R R q
Bll Evas Spg 06 Sggested Aswes, Poblem Set 5 ECON 3033. a) The R meases the facto of the vaato Y eplaed by the model. I ths case, R =SSM/SST. Yo ae gve that SSM = 3.059 bt ot SST. Howeve, ote that SST=SSM+SSE
More informationUNIQUENESS IN SEALED HIGH BID AUCTIONS. Eric Maskin and John Riley. Last Revision. December 14, 1996**
u9d.doc Uqueess u9a/d.doc UNIQUENESS IN SEALED HIGH BID AUCTIONS by Ec Mas ad Joh Rley Last Revso Decembe 4, 996 Depatmet of Ecoomcs, Havad Uvesty ad UCLA A much eale veso of ths pape focussed o the symmetc
More informationPermutations that Decompose in Cycles of Length 2 and are Given by Monomials
Poceedgs of The Natoa Cofeece O Udegaduate Reseach (NCUR) 00 The Uvesty of Noth Caoa at Asheve Asheve, Noth Caoa Ap -, 00 Pemutatos that Decompose Cyces of Legth ad ae Gve y Moomas Lous J Cuz Depatmet
More information