Shape-Preserving Rational Bi-Cubic Spline for Monotone Surface Data

Size: px
Start display at page:

Download "Shape-Preserving Rational Bi-Cubic Spline for Monotone Surface Data"

Transcription

1 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al Sape-Preservng Ratonal B-Cubc Splne for onotone Surface Data UHAAD ABBAS a AHAD ABD AJID a OHD AI HJ AWAG b JAALUDI D ALI a a Scool of atematcal Scences b Scool of Dstance Educaton Unverst Sans alasa 8 US Penang ALAYSIA Emals: m.abbas@uos.edu.pk mad@cs.usm.m mnan@usm.m amaluma@cs.usm.m Abstract: - In ts paper e etended te ratonal cubc functon to ratonal b-cubc functon tat presents a smoot vsuall pleasant and nteractve ve of monotonct preservng surface. oreover t nvolves s free parameters n ts descrpton. Tese free parameters are arranged n suc a a ere to of tese are constraned to preserve te monotonct le te remanng oter four free parameters are left free to desgner for te refnement of monotone surface as desred. Te sceme under dscusson s C fleble smple local and economcal as compared to estng scemes. umercal eamples are provded to demonstrate tat te antcpated sceme s nteractve and smoot. Ke-Words: - Sape preservng nterpolaton Ratonal cubc functon Ratonal B-cubc functon onotone surface onotone surface data ree parameters. Introducton Splne nterpolaton plas a sgnfcant role n Computer Grapcs Computer Aded Geometrc Desgn Engneerng ont Desgnng Data Vsualzaton Sape preservaton Sape control and so man oters. Te data ave some specal sape caracterstcs e.g. monotonct postvt convet and of course t s often needed to generate a monotonct preservng nterpolatng curve and surface accordng to te gven monotone data. Te aspraton of ts paper s to preserve te eredtar attrbute of data tat s te monotonct. onotonct s a substantal sape caracterstc of data. an pscal stuatons est ere enttes are taken onl monotone for nstance monotonct s appled n te specfcaton of Dgtal to Analog Converters (DACs Analog to Dgtal Converters (ADCs and sensors [7]. Tese devces are used to control sstem applcatons ere onl monotonct s acceptable. Ertrocte sedmentaton rates (ESR n cancer patents urc acd level n gout patents appromaton of couples and quas couples n statstcs rate of dssemnaton of drug n blood emprcal opton of prcng models n fnance and te curves and surfaces of Doseresponse n bocemstr and parmacolog [4] are good eamples of monotone data. As ell as n Engneerng te stud of tensle strengt of te materal c gve te monotone data because te tensle strengt of a materal can be defned as te mamum force tat a materal can tstand before breakng Te forced appled usuall s called stress and s studed alongsde te stretc of te materal referred as stran []. Te problem of monotonct preservng nterpolaton as been consdered b a number of autors [-7] and references teren. Beatson and Zegler [] presented a vsualzaton of monotone data arranged over a rectangular grd b C monotone quadratc splne. ecessar and suffcent constrants on functonal and dervatve values ere derved. Carlson and rtsc [] upgraded ter results of unvarate monotone nterpolaton to bvarate monotone nterpolaton for regular data. Te nterpolatng functon as determned b frst partal dervatves and frst med partal dervatves (tst at mes ponts. Te derved necessar and suffcent condtons on tese dervatves. As a result on a sngle rectangular element b-cubc polnomal s monotone. E-ISS: Issue 7 Volume Jul

2 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al Cascola and Roman [6] etended URBS (on-unform Ratonal B-Splne verson of te ratonal nterpolatng splne t tenson parameters for rectangular topolog case. Te sceme alloed te user to nteractvel modf te resultng surface b a set of tenson parameters. Costantn and ontanella [7] developed a metod for constructng sape preservng surfaces nterpolatng arbtrar sets of data on rectangular grd b usng monotone and or conve splnes avng degree n and order of contnut k.te nterpolatng splnes ere obtaned b usng Bernsten polnomals of sutable contnuous pecese lnear functons. Te presented ork s useful n developng algortms for te constructon of sape preservng splnes nterpolaton for arbtrar set of data ponts. loater and Peña [8] defned and stud te tree knds of monotonct preservaton of sstems of bvarate functons on a trangle b usng Bernsten polnomals t some geometrc applcatons. Hussan and ara [] developed te scemes t to sape parameters to vsualze te monotone data n te ve of monotone curves and surfaces. Te etended to partall blended ratonal b-cubc functon (Coons patces. Te scemes are local but unfortunatel dd not gve te fleblt to te user for te refnement of curves and surfaces as desred. Hussan et al [] etended te GPRC (General Pecese Ratonal Cubc functon to partall blended ratonal b-cubc functon (Coon patces t steen sape parameters (n eac patc. Te autors derved te constrants for te egt sape parameters to preserve te sape of monotone data le te remanng egt free parameters ere left to user for te refnement of surfaces. Te constraned parameters n te sceme depend on eac oter. Hussan et al [] etended te ratonal cubc functon to partall blended ratonal b-cubc functon t telve free parameters. Data dependent suffcent constrants ere derved for te four of tese parameters to preserve te monotonct le te remanng of tese free parameters ere left free for user s coce. Te sceme [ ] are epensve and tme consumng due to bunc of free parameters. Sarfraz et al [6] presented a sceme to vsualze te sape of monotone data b b-cubc functon. Te autors derved smple constrants on te free parameters to preserve te sape of te data. Te monotonct sceme does enable dervatve specfcaton but fals to mantan smootness of surface. In ts paper e ave presented an effcent monotone data vsualzaton sceme. Te C ratonal cubc functon t tree free parameters s etended nto ratonal b-cubc functon. Te ratonal b-cubc functon nvolves s free parameters n eac patc for ts representaton. Tese free parameters are arranged n suc a manner ere to of tese are constraned to preserve te sape of monotone data le te remanng free parameters are left free to desgner s coce for refne of surfaces as desred. Our sceme as a number of advantages over te estng scemes. Te developed sceme as been demonstrated troug dfferent numercal eamples and observed tat te sceme s not onl C local computatonall economcal eas to compute tme savng but also vsuall pleasant as compared to estng scemes [-]. In [-4] te scemes do not allo te user to refne te monotone surface as desred le for more pleasng surface (and stll avng te monotone sape preserved an addtonal modfcatons s requred ts task s more easl done n ts paper b a smple adustment of free parameters n te ratonal b-cubc nterpolaton on desgner s coce. Data dependent suffcent constrants for free parameters are derved to preserve te monotonct of monotone data. Ts sceme orks ell for bot equall and unequall space data. In [] te autor ere derved te smple data dependent constrants for free parameters but tese constrants parameters are depend on eac oter le n ts paper te sceme s computatonall tme savng due to ndependence of te constrants parameters. In [679] te autors developed te scemes to aceve te desred sape of data b nsertng etra knots beteen an to knots n te nterval le e preserve te sape of monotone data b onl mposng constrants on free parameters tout an etra knots. E-ISS: Issue 7 Volume Jul

3 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al In ts paper tere s no need of necessar and suffcent condtons on functonal and dervatve values lke [] and []. Te remanng part of te paper s arranged as follos: Reve of ratonal cubc functon t tree sape parameters s dscussed n secton. Te ratonal b-cubc functon s gven n secton. Te coce of dervatve for te constructon of smoot monotone surface s dscussed n secton 4. onotonct preservng ratonal b cubc surface nterpolaton s dscussed n secton. nall numercal eamples and concluson are gven n sectons 6 and 7 respectvel. u f ( θ ( f ud θ( θ p ( θ ( f vd θ ( θ v f θ q ( θ u ( θ θ( θ vθ Remark.: or te values of free parameters set as: u v and ten te C pecese ratonal cubc functon (4 reduces to standard cubc Hermte splne.. Abbas et al [] developed te follong result for te monotonct-preservng of D monotone data. Reve of Ratonal Cubc Splne uncton Let{ ( f :... n} be te gven set of data ponts suc as < < <... <. Te ratonal cubc n functon t tree free parameters [] n eac I... n s defned as: subnterval [ ] ( θ θβ S ( ( q ( θ ere θ ( and u v are te postve free parameters. Te follong nterpolator condtons are mposed for te C contnut of te pecese ratonal cubc functon ( S ( ( f S f ( S ( d S ( d ere S ( denotes te dervatve t respect to and d denotes te dervatves estmated at knots. Te C contnut condtons defned n equaton ( clam te follong values of unknon β β uf β f ud ( β f vd β vf Usng equaton ( te pecese ratonal cubc functon ( reformulated as: p ( ( θ S (4 q ( θ Teorem. [. Abbas et al []] Te C pecese ratonal cubc functon (4 preserves te monotonct of monotone data f n eac subnterval I [ ]... n te free parameters satsf te follong suffcent condtons ud vd ud vd > ma u > v >. Te above result can be rertten as: ud vd ud vd l ma l > u > and v >. ere ( f f Ratonal B-Cubc Splne uncton In ts secton e etended a C pecese ratonal cubc functon (4 to ratonal b-cubc S over te rectangular functon ( doman [ ab ] [ cd ] ntervals [ ab ] and [ ] Ω. Te partton of arbtrar cd can be defned as π : a < < <... < n b π : c < < <... < m d respectvel. Te ratonal b-cubc functon over eac rectangular patc [ ]... n... mdefned as: t S ( S ( B( θ B ( ( φ ( ere E-ISS: Issue 7 Volume Jul

4 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al ( [ ] (6 B ( θ b ( θ b ( θ b ( θ b ( θ (7 B ( φ b垐 ( φ b ( φ b垐 ( φ b ( φ (8 t ( θ u θ( θ b ( θ q ( θ θ v θ ( θ b ( θ q ( θ θ( θ u b ( θ q ( θ θ ( θ v b ( θ q ( θ ( φ u垐 φ( φ b ( φ q ( φ φ v垐 φ ( φ b ( φ q ( φ φ( φ u b ( φ q ( φ b ( φ q ( φ φ ( φ v q( θ u ( θ θ( θ v θ q ( 垐? φ u ( φ φ( φ v φ ere (. θ ( and ϕ Substtutng te equatons (6-(8 n ( ten te ratonal b-cubc functon ( defned as: ( θ P θ( θ Q θ ( θ R θ T S ( ere P t k ( φ ( θ u θ( θ θ v k q ( φ k φ A k (9 ( A u u A u ( 垐 u A u 垐 ( v A u v k k ( φ φ Bk k Q q ( φ suc tat B u ( u ( B ( u u ( u ( B u v ( u B v ( u k k ( φ φ Ck k R ( q ( φ t C u ( v C ( v u ( v C ( v ( v v C v ( v T k ( φ k q ( φ k φ D ere D u v D 垐 v ( u D v 垐 ( v D v v k 4 Determnaton of dervatves ( Usuall te dervatves and and are not knon so must be calculated eter from te gven data or b some oter sources. Let us denote and as te frst order dervatves t E-ISS: Issue 7 Volume Jul

5 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al respect to and respectvel at te data pont. Smlarl let te med dervatves be denoted b. Artmetc mean metod as proposed n [] s te tree-pont dfference appromaton based on artmetc calculaton for te monotone curve manpulaton. Ts metod can be orented and etended for te D data vsualzaton as follos: 4. Artmetc ean etod for D data ( ( ( n n n n n ( n n (... n... m 垐 ( ( 垐 垐 ( m m m m m ( 垐 m m ( 垐... n... m 垐... n ;... m ere. Tese artmetc mean metods are computatonall economcal and sutable for vsualzaton of data. onotonct-preservng Ratonal B-Cubc Splne Interpolaton. Te ratonal b-cubc functon ( does not preserve te sape of monotone surface data. So t s requred to assgn sutable constrants for te free parameters b some matematcal treatment to preserve te monotonct of monotone surface data. Teorem.: Te ratonal b-cubc functon ( preserves te monotonct of monotone surface te free parameters satsf te follong suffcent condtons as: u u > and v v > data f n eac rectangular patc [ ] > ma 垐垐 > ma 垐垐 Te above results are rertten as: l ma m ma l > Proof: ( :... n... m Let { } be a monotone surface data arranged over rectangular doman Ω [ n] [ m]. Te necessar condtons for monotonct of monotone surface data are: < > > (4 enever ( < ( m > E-ISS: Issue 7 Volume Jul

6 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al < > > ( enever ( < ( and te free parameters are: u > v > > (6 u垐? > v > > Te ratonal b-cubc functon Sdefned ( n ( preserves te monotonct of monotone surface data f te follong condtons are satsfed as S ( > ( Ω (7 S ( > Te functons S ( and S( represent te frst order partal dervatons of ratonal b-cubc functon (. r. t. and respectvel ( θ θ S ( ( ( ( ϕ ere q θ q ( ϕ ϕ t u u u ( u ( u v ( ϕ ϕ t u u. {( } (8 垐 ( ( u ( 垐 ( ( u ( u v. {( } ( ϕ ϕ t ( u ( u u v 垐 ( (. u ( u v u v ( ( ( (. v? ( u v u v ( ( ( ( u v u v ( ϕ ϕ t ( v ( u u v 垐 ( (. u ( u v u v ( ( E-ISS: Issue 7 Volume Jul

7 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al 垐 ( (. v ( u v u v ( ( ( ( v v u v 4 ( ϕ ϕ 4 t {( } v u. 4 ( ( ( ( ( 4 v ( 4 v {( } v v. 4 ( ϕ ϕ ere v u v ( v ( v u S ( q ere ( θ θ ( q ϕ ( θ ( ( ϕ ϕ t u u ( { } u u垐 (9 ( ( u u u v ( v ( u u v u v ( 4 u v ( ϕ ϕ t ( ( ( u ( u ( (. u ( u v ( ( ( (. v ( u v ( ( ( ( 4 v ( v ( ϕ ϕ t ( u E-ISS: Issue 7 Volume Jul

8 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al ( ( ( u ( (. v ( u v ( ( ( (. v ( u v ( ( ( v ( 4 ( v ( ϕ ϕ t v u {( } ( ( v u u v u v ( v ( v u v v v {( } 4 v u rstl from equaton ( te ratonal functon S ( > f ( θ θ > We ave satsfed and and ( q ( θ q ( ϕ >. ( q ( θ q ( ϕ > f equaton (6 s ( θ θ > f >. > f We ave > and > f equatons (4 and ( are satsfed. > f > f Hence > f > > > ma > f > ma > f > ma > ma > f > ma > ma 4 > f > ma > ma > ma ( ( ( ( (4 ( (6 (7 (8 E-ISS: Issue 7 Volume Jul

9 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al Lastl > f > ma (9 After reducng te smlar terms n above epressons of and from equatons (-(9 e ave > ma ( > ma ( Secondl from equaton (7 te second ratonal functon S ( > f Bot ( θ θ > and q ( q We ave ( q ( θ ( ϕ >. ( θ q ( ϕ > f equaton (6 s satsfed. ( θ θ > f >. > f >... We ave > and > f equatons (4 and ( are satsfed. > f > > and > f > ma 4 > f > Hence > f > ma ( > f > ma ( > f > ma (4 Lastl > f > ma ( Combnng te above epressons of and from equatons (-( e get > ma (6 > ma (7 Jonng te equatons ( and (6 e ave > ma (8 Te above result can be rertten as: l ma l > Combnng te equatons ( and (7 e ave Rertng te above result as: > ma (9 E-ISS: Issue 7 Volume Jul

10 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al m ma m > Table.: D monotone data Table. : onotone surface data E-ISS: Issue 7 Volume Jul

11 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al g.: B-cubc Hermte Splne g.4: Sape-preservng ratonal b-cubc surface nterpolaton g.: z ve of gure. g.: z ve of gure.4 g.: Dfferent ve of gure. g.6: Dfferent ve of gure.4 E-ISS: Issue 7 Volume Jul

12 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al g.7: B-cubc Hermte Splne g.: Sape-preservng ratonal b-cubc surface nterpolaton t u 垐. u. v. v. g.8: z ve of gure.7 g.: z ve of gure. g.9: Dfferent ve of gure.7 g.: Dfferent ve of gure. E-ISS: Issue 7 Volume Jul

13 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al 6. umercal Eamples In ts secton a numercal demonstraton of monotonct preservng sceme gven n secton s presented. Eample. A monotone surface data set taken n Table. gure. s dran b b-cubc Hermte splne tat does not preserve te monotonct of monotone surface data. gure. and gure. are representng dfferent ve of gure.; e remark tat tese fgures do not preserve te sape of data. To overcome ts fla gure.4 s generated b te monotonct preservng ratonal b-cubc surface sceme developed n secton t te values of free parameters set as: u. u. v. and v. to preserve te monotonct of monotone data. gure. and gure.6 represent dfferent ve of gure.4; t s clearl son tat tese fgures preserve monotonct everere. A promnent dfference n te smootness t a vsuall pleasant ve can be seen n tese fgures due to te lbert bestoed to te desgner on te values of sape parameters. Eample. Te b-cubc Hermte splne sceme as been used to dra te gure.7 usng te monotone surface data set taken n Table. A more clear ve of nonmonotonct can be seen n gure.8 and gure.9 c are z and dfferent ve of gure.7 respectvel. On te oter and te effcenc of te monotonct preservng ratonal b-cubc sceme developed n secton can be seen n gure.. A more compreensble ve of monotonct can be seen n gure. and gure. c are z and dfferent ve of gure. respectvel. A remarkable dfference n te smootness t a sape preservng pleasant grapcal ve s vsble n te fgures dran b te nel developed sceme due to te freedom granted to te desgner on te values of sape parameters. 7 Concludng Remark In ts paper e ave etended a C pecese ratonal cubc functon to ratonal b-cubc functon t s free parameters n eac rectangular patc to preserve te monotonct of D monotone data. Te free parameters are arranged n suc a a tat to of tem are constraned parameters (not depend on te oter parameter lke [] to preserve te sape of D monotone data le te remanng are left free for desgner 's coce for te refnement of monotone surface as desred. Te developed surface sceme as been tested troug dfferent numercal eamples and t s son tat te sceme s not onl local and computatonall economcal but also vsuall pleasant. Acknoledgments Te autors are gl ndebted to anonmous referees for te nsprng comments and te constructve suggestons c ave led to an mproved manuscrpt. References: []. Abbas A. A. ad.. H Aang J. d. Al onotonct Preservng Interpolaton usng Ratonal Splne Internatonal multconference of Engneers and computer scentsts vol ( pp [] R. K. Beatson Z. Zegler onotonct preservng surface nterpolaton SIA Journal of umercal Analss ( (98 pp [] S. Butt Sape preservng curves and surfaces for Computer Grapcs P.D. Tess Scool of Computer Studes Te Unverst of Leeds UK (99. [4] G. Belakov onotonct preservng appromaton of multvarate scattered data BIT umercal atematcs 4(4 ( pp [] R. E. Carlson.. rtsc onotone pecese bcubc nterpolaton SIA Journal of umercal Analss ( (98 pp [6] G. Cascola L. Roman Ratonal nterpolants t tenson parameters Proceedngs of Curve and Surface Desgn T. Lce. azure and L. L. Scumaker(eds. Sant-alo asboro Press Brentood T. ( pp. 4-. [7] P. Costantn. ontanella Sape preservng bvarate nterpolaton SIA Journal of umercal Analss 7( (99 pp E-ISS: Issue 7 Volume Jul

14 WSEAS TRASACTIOS on ATHEATICS uammad Abbas Amad Abd ad od an H Aang Jamaludn d Al [8]. S. loater J.. Peña onotonct preservaton on trangles atematcs of Computaton 69( ( pp [9] LU. Han L. L. Scumaker ttng monotone surfaces to scattered data usng C pecese cubcs SIA Journal of umercal Analss 4( (997 pp []. Z. Hussan. Hussan Vsualzaton of data preservng monotonct Appled atematcs and Computaton 9 (7 pp []. Z. Hussan. Hussan. Sarfraz Vsualzaton of onotone data b Ratonal B-cubc Interpolaton Trans. on Comput. Sc. VIII LCS 66 ( pp []. Hussan Data Vsualzaton usng splne functons P.D. Tess Department of atematcs Unverst of te Punab Laore-Pakstan ( []. Z. Hussan. Sarfraz onotone pecese ratonal cubc nterpolaton Internatonal Journal of Computer atematcs 86( (9 pp [4]. Z. Hussan. Hussan onotonc surfaces for Computer Grapcs Journal of prme researc n atematcs Vol. (6 pp []. Z. Hussan D. Zad. Hussan A. A. ad onotone Surface Data Vsualzaton European Journal of Scentfc Researc 8( (9 pp [6]. Sarfraz S.Butt.Z. Hussan Surfaces for te vsualzaton of scentfc data preservng monotonct IA atematcs for Surfaces VII Conference September - (997 pp [7] B. S. Kolts Understandng lneart and monotonct Analog Zone (7 ttp://.analogzone.com/nett8.pdf E-ISS: Issue 7 Volume Jul

Visualization of Data Subject to Positive Constraints

Visualization of Data Subject to Positive Constraints ISSN 746-7659 England UK Journal of Informaton and Computng Scence Vol. No. 6 pp. 49-6 Vsualzaton of Data Subect to Postve Constrants Malk Zawwar Hussan and Mara Hussan Department of Mathematcs Unverst

More information

Research Article Shape Preserving Interpolation using Rational Cubic Spline

Research Article Shape Preserving Interpolation using Rational Cubic Spline Research Journal of Appled Scences, Engneerng and Technolog 8(2): 67-78, 4 DOI:.9026/rjaset.8.96 ISSN: 40-749; e-issn: 40-7467 4 Mawell Scentfc Publcaton Corp. Submtted: Januar, 4 Accepted: Februar, 4

More information

Research Article Convexity-preserving using Rational Cubic Spline Interpolation

Research Article Convexity-preserving using Rational Cubic Spline Interpolation Research Journal of Appled Scences Engneerng and Technolog (3): 31-3 1 DOI:.19/rjaset..97 ISSN: -79; e-issn: -77 1 Mawell Scentfc Publcaton Corp. Submtted: October 13 Accepted: December 13 Publshed: Jul

More information

Positivity Preserving Interpolation by Using

Positivity Preserving Interpolation by Using Appled Matematcal Scences, Vol. 8, 04, no. 4, 053-065 HIKARI Ltd, www.m-kar.com ttp://dx.do.org/0.988/ams.04.38449 Postvty Preservng Interpolaton by Usng GC Ratonal Cubc Splne Samsul Arffn Abdul Karm Department

More information

Solution for singularly perturbed problems via cubic spline in tension

Solution 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 information

Monotonic Interpolating Curves by Using Rational. Cubic Ball Interpolation

Monotonic Interpolating Curves by Using Rational. Cubic Ball Interpolation Appled Mathematcal Scences, vol. 8, 204, no. 46, 7259 7276 HIKARI Ltd, www.m-hkar.com http://dx.do.org/0.2988/ams.204.47554 Monotonc Interpolatng Curves by Usng Ratonal Cubc Ball Interpolaton Samsul Arffn

More information

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter

The Quadratic Trigonometric Bézier Curve with Single Shape Parameter J. Basc. Appl. Sc. Res., (3541-546, 01 01, TextRoad Publcaton ISSN 090-4304 Journal of Basc and Appled Scentfc Research www.textroad.com The Quadratc Trgonometrc Bézer Curve wth Sngle Shape Parameter Uzma

More information

TR/95 February Splines G. H. BEHFOROOZ* & N. PAPAMICHAEL

TR/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 information

Report on Image warping

Report on Image warping Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.

More information

Shuai Dong. Isaac Newton. Gottfried Leibniz

Shuai 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 information

TR/28. OCTOBER CUBIC SPLINE INTERPOLATION OF HARMONIC FUNCTIONS BY N. PAPAMICHAEL and J.R. WHITEMAN.

TR/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 information

Numerical Simulation of One-Dimensional Wave Equation by Non-Polynomial Quintic Spline

Numerical 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 information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (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 information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (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 information

Convexity preserving interpolation by splines of arbitrary degree

Convexity 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 information

Convexity Preserving Using GC Cubic Ball. Interpolation

Convexity Preserving Using GC Cubic Ball. Interpolation Appled Mathematcal Scences, Vol 8, 4, no 4, 87 - HIKARI Ltd, wwwm-hkarcom http://dxdoorg/988/ams43848 Convexty Preservng Usng GC Cubc Ball Interpolaton Samsul Arffn Abdul Karm, Mohammad Khatm Hasan and

More information

Visualization of 2D Data By Rational Quadratic Functions

Visualization of 2D Data By Rational Quadratic Functions 7659 Englan UK Journal of Informaton an Computng cence Vol. No. 007 pp. 7-6 Vsualzaton of D Data By Ratonal Quaratc Functons Malk Zawwar Hussan + Nausheen Ayub Msbah Irsha Department of Mathematcs Unversty

More information

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve

More information

The Finite Element Method: A Short Introduction

The 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 information

ORDINARY DIFFERENTIAL EQUATIONS EULER S METHOD

ORDINARY 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 information

New Method for Solving Poisson Equation. on Irregular Domains

New 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 information

( ) [ ( k) ( k) ( x) ( ) ( ) ( ) [ ] ξ [ ] [ ] [ ] ( )( ) i ( ) ( )( ) 2! ( ) = ( ) 3 Interpolation. Polynomial Approximation.

( ) [ ( k) ( k) ( x) ( ) ( ) ( ) [ ] ξ [ ] [ ] [ ] ( )( ) i ( ) ( )( ) 2! ( ) = ( ) 3 Interpolation. Polynomial Approximation. 3 Interpolaton {( y } Gven:,,,,,, [ ] Fnd: y for some Mn, Ma Polynomal Appromaton Theorem (Weerstrass Appromaton Theorem --- estence ε [ ab] f( P( , then there ests a polynomal

More information

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming OPTIMIATION Introducton ngle Varable Unconstraned Optmsaton Multvarable Unconstraned Optmsaton Lnear Programmng Chapter Optmsaton /. Introducton In an engneerng analss, sometmes etremtes, ether mnmum or

More information

1 Introduction We consider a class of singularly perturbed two point singular boundary value problems of the form: k x with boundary conditions

1 Introduction We consider a class of singularly perturbed two point singular boundary value problems of the form: k x with boundary conditions Lakshm Sreesha Ch. Non Standard Fnte Dfference Method for Sngularly Perturbed Sngular wo Pont Boundary Value Problem usng Non Polynomal Splne LAKSHMI SIREESHA CH Department of Mathematcs Unversty College

More information

PART 8. Partial Differential Equations PDEs

PART 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 information

Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

Multivariate 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 information

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245

Instituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245 Insttuto Tecnológco de Aeronáutca FIITE ELEMETS I Class notes AE-5 Insttuto Tecnológco de Aeronáutca 5. Isoparametrc Elements AE-5 Insttuto Tecnológco de Aeronáutca ISOPARAMETRIC ELEMETS Introducton What

More information

CHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION

CHAPTER-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 information

MANY studies on self-tuning fuzzy systems[1], [2]

MANY studies on self-tuning fuzzy systems[1], [2] Proceedngs of te Internatonal MultConference of Engneers and Computer Scentsts 4 Vol I, IMECS 4, Marc - 4, 4, Hong Kong An Applcaton of Fuzz Inference Sstem Composed of Double-Input Rule Modules to Control

More information

Measurement Indices of Positional Uncertainty for Plane Line Segments Based on the ε

Measurement 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

Cubic Trigonometric Rational Wat Bezier Curves

Cubic Trigonometric Rational Wat Bezier Curves Cubc Trgonometrc Ratonal Wat Bezer Curves Urvash Mshra Department of Mathematcs Mata Gujr Mahla Mahavdyalaya Jabalpur Madhya Pradesh Inda Abstract- A new knd of Ratonal cubc Bézer bass functon by the blendng

More information

A Piecewise Rational Quintic Hermite Interpolant for Use in CAGD

A Piecewise Rational Quintic Hermite Interpolant for Use in CAGD A Pecewse Ratonal Quntc Hermte Interpolant for Use n CAGD Gulo Cascola and Luca Roman Abstract. In ths paper we descrbe and analyze a new class of C pecewse ratonal quntc Hermte nterpolants for use n CAGD

More information

The finite element method explicit scheme for a solution of one problem of surface and ground water combined movement

The 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 information

One Dimensional Axial Deformations

One Dimensional Axial Deformations One Dmensonal al Deformatons In ths secton, a specfc smple geometr s consdered, that of a long and thn straght component loaded n such a wa that t deforms n the aal drecton onl. The -as s taken as the

More information

Parameter estimation class 5

Parameter estimation class 5 Parameter estmaton class 5 Multple Ve Geometr Comp 9-89 Marc Pollefes Content Background: Projectve geometr (D, 3D), Parameter estmaton, Algortm evaluaton. Sngle Ve: Camera model, Calbraton, Sngle Ve Geometr.

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-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 information

Linear discriminants. Nuno Vasconcelos ECE Department, UCSD

Linear 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 information

A Spline based computational simulations for solving selfadjoint singularly perturbed two-point boundary value problems

A 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 information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

Nice plotting of proteins II

Nice plotting of proteins II Nce plottng of protens II Fnal remark regardng effcency: It s possble to wrte the Newton representaton n a way that can be computed effcently, usng smlar bracketng that we made for the frst representaton

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

2.29 Numerical Fluid Mechanics

2.29 Numerical Fluid Mechanics REVIEW Lecture 10: Sprng 2015 Lecture 11 Classfcaton of Partal Dfferental Equatons PDEs) and eamples wth fnte dfference dscretzatons Parabolc PDEs Ellptc PDEs Hyperbolc PDEs Error Types and Dscretzaton

More information

Cubic Trigonometric B-Spline Applied to Linear Two-Point Boundary Value Problems of Order Two

Cubic Trigonometric B-Spline Applied to Linear Two-Point Boundary Value Problems of Order Two World Academy of Scence Engneerng and echnology Internatonal Journal of Mathematcal and omputatonal Scences Vol: No:0 00 ubc rgonometrc B-Splne Appled to Lnear wo-pont Boundary Value Problems of Order

More information

Numerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method

Numerical 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 information

Chapter 3 Differentiation and Integration

Chapter 3 Differentiation and Integration MEE07 Computer Modelng Technques n Engneerng Chapter Derentaton and Integraton Reerence: An Introducton to Numercal Computatons, nd edton, S. yakowtz and F. zdarovsky, Mawell/Macmllan, 990. Derentaton

More information

Stanford University CS254: Computational Complexity Notes 7 Luca Trevisan January 29, Notes for Lecture 7

Stanford 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 information

NUMERICAL DIFFERENTIATION

NUMERICAL 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

Weighted Fifth Degree Polynomial Spline

Weighted Fifth Degree Polynomial Spline Pure and Appled Mathematcs Journal 5; 4(6): 69-74 Publshed onlne December, 5 (http://www.scencepublshnggroup.com/j/pamj) do:.648/j.pamj.546.8 ISSN: 36-979 (Prnt); ISSN: 36-98 (Onlne) Weghted Ffth Degree

More information

Exponential Type Product Estimator for Finite Population Mean with Information on Auxiliary Attribute

Exponential 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 information

C 1 Positive Bernstein-Bézier Rational Quartic Interpolation Maria Hussain, Malik Zawwar Hussain and Maryam Buttar

C 1 Positive Bernstein-Bézier Rational Quartic Interpolation Maria Hussain, Malik Zawwar Hussain and Maryam Buttar INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 C Postve Bernsten-Bézer Ratonal Quartc Interpolaton Mara Hussan Malk Zawwar Hussan and Maryam Buttar Astract A postvty

More information

PLATE BENDING ELEMENTS

PLATE BENDING ELEMENTS 8. PLATE BENING ELEMENTS Plate Bendng s a Smple Etenson of Beam Theor 8. INTROUCTION { XE "Plate Bendng Elements" }Before 960, plates and slabs were modeled usng a grd of beam elements for man cvl engneerng

More information

arxiv: v1 [math.ho] 18 May 2008

arxiv: v1 [math.ho] 18 May 2008 Recurrence Formulas for Fbonacc Sums Adlson J. V. Brandão, João L. Martns 2 arxv:0805.2707v [math.ho] 8 May 2008 Abstract. In ths artcle we present a new recurrence formula for a fnte sum nvolvng the Fbonacc

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Singular Two Points Boundary Value Problem

Singular Two Points Boundary Value Problem An-aja atonal Unverst Facult of Graduate Studes Sngular Two Ponts Boundar Value Problem B Sawsan Moammad Hamdan Supervsed b Dr. Samr Matar Ts tess s submtted n partal fulfllment of te requrements for te

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 umercal Solutons of oundary-value Problems n Os ovember 7, 7 umercal Solutons of oundary- Value Problems n Os Larry aretto Mechancal ngneerng 5 Semnar n ngneerng nalyss ovember 7, 7 Outlne Revew stff equaton

More information

TR/01/89 February An O(h 6 ) cubic spline interpolating procedure for harmonic functions. N. Papamichael and Maria Joana Soares*

TR/01/89 February An O(h 6 ) cubic spline interpolating procedure for harmonic functions. N. Papamichael and Maria Joana Soares* TR/0/89 February 989 An O( 6 cubc splne nterpolatng procedure for armonc functons N. Papamcael Mara Joana Soares* *Área de Matematca, Unversdade do Mno, 4700 Braga, Portugal. z 6393 ABSTRACT An O( 6 metod

More information

Construction of Serendipity Shape Functions by Geometrical Probability

Construction of Serendipity Shape Functions by Geometrical Probability J. Basc. Appl. Sc. Res., ()56-56, 0 0, TextRoad Publcaton ISS 00-0 Journal of Basc and Appled Scentfc Research www.textroad.com Constructon of Serendpty Shape Functons by Geometrcal Probablty Kamal Al-Dawoud

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

Solving Singularly Perturbed Differential Difference Equations via Fitted Method

Solving 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 information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 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 information

Multigrid Methods and Applications in CFD

Multigrid 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 information

Multivariate Ratio Estimation With Known Population Proportion Of Two Auxiliary Characters For Finite Population

Multivariate Ratio Estimation With Known Population Proportion Of Two Auxiliary Characters For Finite Population Multvarate Rato Estmaton Wth Knon Populaton Proporton Of To Auxlar haracters For Fnte Populaton *Raesh Sngh, *Sachn Mal, **A. A. Adeara, ***Florentn Smarandache *Department of Statstcs, Banaras Hndu Unverst,Varanas-5,

More information

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites 7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

Adaptive Kernel Estimation of the Conditional Quantiles

Adaptive 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 information

Numerical Solution of Singular Perturbation Problems Via Deviating Argument and Exponential Fitting

Numerical 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 information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Pathan Mahabub Basha *, Vembu Shanthi

Pathan Mahabub Basha *, Vembu Shanthi Amercan Journal of umercal Analyss 5 Vol 3 o 39-48 Avalable onlne at ttp://pubsscepubcom/ajna/3// Scence Educaton Publsng DOI:69/ajna-3-- A Unformly Convergent Sceme for A System of wo Coupled Sngularly

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

5 The Laplace Equation in a convex polygon

5 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 information

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1

Solutions to Homework 7, Mathematics 1. 1 x. (arccos x) (arccos x) 1 Solutons to Homework 7, Mathematcs 1 Problem 1: a Prove that arccos 1 1 for 1, 1. b* Startng from the defnton of the dervatve, prove that arccos + 1, arccos 1. Hnt: For arccos arccos π + 1, the defnton

More information

MD. LUTFOR RAHMAN 1 AND KALIPADA SEN 2 Abstract

MD. LUTFOR RAHMAN 1 AND KALIPADA SEN 2 Abstract ISSN 058-71 Bangladesh J. Agrl. Res. 34(3) : 395-401, September 009 PROBLEMS OF USUAL EIGHTED ANALYSIS OF VARIANCE (ANOVA) IN RANDOMIZED BLOCK DESIGN (RBD) ITH MORE THAN ONE OBSERVATIONS PER CELL HEN ERROR

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

, 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 information

x yi In chapter 14, we want to perform inference (i.e. calculate confidence intervals and perform tests of significance) in this setting.

x yi In chapter 14, we want to perform inference (i.e. calculate confidence intervals and perform tests of significance) in this setting. The Practce of Statstcs, nd ed. Chapter 14 Inference for Regresson Introducton In chapter 3 we used a least-squares regresson lne (LSRL) to represent a lnear relatonshp etween two quanttatve explanator

More information

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com

More information

Grid Generation around a Cylinder by Complex Potential Functions

Grid 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 information

PubH 7405: REGRESSION ANALYSIS. SLR: INFERENCES, Part II

PubH 7405: REGRESSION ANALYSIS. SLR: INFERENCES, Part II PubH 7405: REGRESSION ANALSIS SLR: INFERENCES, Part II We cover te topc of nference n two sessons; te frst sesson focused on nferences concernng te slope and te ntercept; ts s a contnuaton on estmatng

More information

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method Journal of Electromagnetc Analyss and Applcatons, 04, 6, 0-08 Publshed Onlne September 04 n ScRes. http://www.scrp.org/journal/jemaa http://dx.do.org/0.46/jemaa.04.6000 The Exact Formulaton of the Inverse

More information

Initial-value Technique For Singularly Perturbed Two Point Boundary Value Problems Via Cubic Spline

Initial-value Technique For Singularly Perturbed Two Point Boundary Value Problems Via Cubic Spline Unversty of Central Florda Electronc Teses and Dssertatons Masters Tess (Open Access) Intal-value Tecnque For Sngularly Perturbed Two Pont Boundary Value Problems Va Cubc Splne 010 Lus G. Negron Unversty

More information

Pattern Classification

Pattern Classification Pattern Classfcaton All materals n these sldes ere taken from Pattern Classfcaton (nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wley & Sons, 000 th the permsson of the authors and the publsher

More information

DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND

DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND ANZIAM J. 45(003), 195 05 DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND YOUNG JOON AHN 1 (Receved 3 August, 001; revsed 7 June, 00) Abstract In ths paper

More information

Shape preserving third and fifth degrees polynomial splines

Shape preserving third and fifth degrees polynomial splines Amercan Journal of Appled Mathematcs 014; (5): 16-169 Publshed onlne September 30, 014 (http://www.scencepublshnggroup.com/j/ajam) do: 10.11648/j.ajam.014005.13 ISSN: 330-0043 (Prnt); ISSN: 330-006X (Onlne)

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Maejo International Journal of Science and Technology

Maejo International Journal of Science and Technology Maejo Int. J. Sc. Technol. () - Full Paper Maejo Internatonal Journal of Scence and Technology ISSN - Avalable onlne at www.mjst.mju.ac.th Fourth-order method for sngularly perturbed sngular boundary value

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Numerical Solution of Ordinary Differential Equations

Numerical 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 information

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2017/2018 FINITE ELEMENT AND DIFFERENCE SOLUTIONS

UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2017/2018 FINITE ELEMENT AND DIFFERENCE SOLUTIONS OCD0 UNIVERSITY OF BOLTON RAK ACADEMIC CENTRE BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 07/08 FINITE ELEMENT AND DIFFERENCE SOLUTIONS MODULE NO. AME6006 Date: Wednesda 0 Ma 08 Tme: 0:00

More information

Research Article Cubic B-Spline Collocation Method for One-Dimensional Heat and Advection-Diffusion Equations

Research Article Cubic B-Spline Collocation Method for One-Dimensional Heat and Advection-Diffusion Equations Appled Mathematcs Volume 22, Artcle ID 4587, 8 pages do:.55/22/4587 Research Artcle Cubc B-Splne Collocaton Method for One-Dmensonal Heat and Advecton-Dffuson Equatons Joan Goh, Ahmad Abd. Majd, and Ahmad

More information

Systematic Error Illustration of Bias. Sources of Systematic Errors. Effects of Systematic Errors 9/23/2009. Instrument Errors Method Errors Personal

Systematic Error Illustration of Bias. Sources of Systematic Errors. Effects of Systematic Errors 9/23/2009. Instrument Errors Method Errors Personal 9/3/009 Sstematc Error Illustraton of Bas Sources of Sstematc Errors Instrument Errors Method Errors Personal Prejudce Preconceved noton of true value umber bas Prefer 0/5 Small over large Even over odd

More information

CHAPTER 4. Vector Spaces

CHAPTER 4. Vector Spaces man 2007/2/16 page 234 CHAPTER 4 Vector Spaces To crtcze mathematcs for ts abstracton s to mss the pont entrel. Abstracton s what makes mathematcs work. Ian Stewart The man am of ths tet s to stud lnear

More information

The Karush-Kuhn-Tucker. Nuno Vasconcelos ECE Department, UCSD

The Karush-Kuhn-Tucker. Nuno Vasconcelos ECE Department, UCSD e Karus-Kun-ucker condtons and dualt Nuno Vasconcelos ECE Department, UCSD Optmzaton goal: nd mamum or mnmum o a uncton Denton: gven unctons, g, 1,...,k and, 1,...m dened on some doman Ω R n mn w, w Ω

More information

Summary with Examples for Root finding Methods -Bisection -Newton Raphson -Secant

Summary with Examples for Root finding Methods -Bisection -Newton Raphson -Secant Summary wth Eamples or Root ndng Methods -Bsecton -Newton Raphson -Secant Nonlnear Equaton Solvers Bracketng Graphcal Open Methods Bsecton False Poston (Regula-Fals) Newton Raphson Secant All Iteratve

More information

On Pfaff s solution of the Pfaff problem

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 information

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12

2.29 Numerical Fluid Mechanics Fall 2011 Lecture 12 REVIEW Lecture 11: 2.29 Numercal Flud Mechancs Fall 2011 Lecture 12 End of (Lnear) Algebrac Systems Gradent Methods Krylov Subspace Methods Precondtonng of Ax=b FINITE DIFFERENCES Classfcaton of Partal

More information

An efficient algorithm for multivariate Maclaurin Newton transformation

An efficient algorithm for multivariate Maclaurin Newton transformation Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,

More information

Appendix B. The Finite Difference Scheme

Appendix 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 information

Chapter 14 Simple Linear Regression

Chapter 14 Simple Linear Regression Chapter 4 Smple Lnear Regresson Chapter 4 - Smple Lnear Regresson Manageral decsons often are based on the relatonshp between two or more varables. Regresson analss can be used to develop an equaton showng

More information