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

Size: px
Start display at page:

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

Transcription

1 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 preservng C ratonal quartc Bernsten-Bézer nterpolaton scheme s developed for scattered data. The constrants are developed on the Bézer ordnates to preserve the postve shape of scattered data. The weght functons are free to mprove the shape of the surface. The developed scheme has more degrees of freedom as compared to exstng ratonal postvty preservng nterpolaton schemes. It s local and equally applcale to data as well as data wth dervatves. Keywords- C Bernsten-Bézer ratonal quartc functon postvty scattered data nterpolaton weght functons Bézer ordnates. I. INTRODUCTION Scattered data orgnates from a numer of applcatons ncludng earth scences meteorology electronc magng reverse engneerng ndustral desgn 3D photography shp uldng aeronautcs and medcal modellng of human ody parts. The data can e convex monotone or postve partally or over the whole doman. However the prolem under consderaton here s postvty of scattered data. The prolem of postvty preservng nterpolaton of scattered data has een dscussed y many authors. Some of the notceale contrutons are revewed here. Malk Zawwar Hussan s a Professor n Department of Mathematcs Unversty of the Punja Lahore Pakstan (e-mal: malkzawwar.math@pu.edu.pk) Mara Hussan s an Assstant Professor n Department of Mathematcs Lahore College for Women Unversty Lahore-Pakstan(e-mal: marahussan_@yahoo.com) Maryam Buttar s a M.Phl. Student n Department of Mathematcs Unversty of the Punja Lahore Pakstan Brodle Asm and Unsworth [] dscussed the prolem of vsualzaton of data y usng modfed quadratc Shepard method. To assure the postvty of nterpolant suffcent condtons were mposed on quadratc ass functons. To nterpolate the fractonal data they nhted the nterpolant wthn the lmts [0]. The generalzed form of the nterpolant was produced. In [6] Hussan and Hussan developed a postvty preservng nterpolaton scheme whch was ased on Coons patches. A ratonal functon wth shape parameters (Hermte form) was used to nterpolate each oundary of trangle. The sde-vertex nterpolaton was also performed y a ratonal functon (Hermte form). The fnal surface patch was the convex comnaton of these sde-vertex nterpolant. The authors n [6] developed data dependent constrants on shape parameters to preserve the postve shape of data. Hussan and Hussan [7] developed a C Bernsten-Bézer ratonal cuc scheme to preserve the postve shape of scattered data. Luo and Peng [8] presented a range restrcted C ratonal splne nterpolaton scheme for scattered data. The ratonal splne nterpolant was represented as a convex comnaton of three cuc Bézer trangular patches. The range restrcted ostacles were the polynomal surfaces of degree up to three. Mulansky and Schmdt [9] proposed a range restrcted C quadratc splne nterpolaton scheme for scattered data. The doman was trangulated y the Powell-San refnement. The soluton to the prolem came out as a solvale system of lnear nequaltes for the gradents as parameters. The nequaltes were solved y a gloal quadratc optmzaton prolem the thn plate functonal was the ojectve functon and the system of nequaltes were the constrants. Herrmann Mulansky and Schmdt [] proposed a unvarate and varate C quadratc range restrcted nterpolaton scheme for scattered data. In [9] the range ISSN:

2 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 restrctng constrants were pecewse constants as n [] the pecewse quadratc functons were the lower and upper ostacles to the value of nterpolant. In ths paper a C Bernsten-Bézer ratonal quartc nterpolaton scheme s developed to preserve the postve shape of scattered data. The ratonal quartc Bernsten-Bézer functon has 5 Bézer ordnates and 5 weght functons. Due to hgh numer of Bézer ordnates(control ponts) the nterpolated surface s closer to the shape of control polygon as compared to lesser degree nterpolatng functons. The weght functons provde degrees of freedom for surface s shape mprovement f desred. The constrants are developed on the Bézer ordnates to preserve the postve shape of scattered data. If for any trangular patch the Bézer ordnates fal to oey the developed constrants then weghts functons are modfed to preserve postve surface through postve scattered data. The advantages of the proposed ratonal quartc nterpolaton scheme to the exstng ones are as follows: In [] [8] and [9] constrants were developed on the dervatves at knots to assure postvty. The proposed postvty preservng ratonal quartc nterpolaton scheme of ths paper keeps the dervatves unconstraned hence equally applcale to data as well as data wth dervatves. In [7] a postvty preservng ratonal cuc Bernsten-Bézer nterpolaton scheme was proposed. The ratonal cuc functon of [7] had ten Bézer ordnates as the ratonal quartc scheme of ths paper has ffteen Bézer ordnates. It follows that the postve surface developed y ratonal quartc Bernsten-Bézer functon s closer to the control polygon as compare to the ratonal cuc nterpolant [7]. Moreover t has ffteen weght functons ut cuc nterpolant [7] had ten weght functons. Thus ratonal quartc nterpolant has more degrees of freedom as compared to [7]. Unlke [] the proposed ratonal quartc nterpolaton scheme of ths paper s local. The remanng paper s organzed as follows: The Secton II presents the Bernsten-Bézer ratonal quartc functon. The prolem of postvty and C contnuty are dscussed n Secton III and Secton IV respectvely. Secton VI concludes the paper. II. BERNSTEIN-BÉZIER RATIONAL QUARTIC UNCTION The Bernsten-Bézer functons can e used to nterpolate the scattered data only f the data s arranged over the trangular grd (doman s unon of non-ntersectng trangles). The ratonal Bernsten-Bézer functons possess free parameters known as weght functons. The smoothness of nterpolated surface s olged to sutale choce of weght functons. The Bernsten-Bézer ratonal quartc functon s defned as: P ( uvw ) Puvw ( ) () P uvw P uvw j k uvw ( ) P u v w jk + j+ k j k + j+ k jk u v w. jk + j+ k are the weght functons and 00 are the Bézer ordnates at the three vertces of trangle; and 30 are the oundary Bézer ordnates; are the nner Bézer ordnate and u v w are the arycentrc coordnates. The arycentrc coordnates wth respect to the trangle VVV 3 can e computed from the followng convex comnaton: V uv + vv + wv3 u+ v+ w and u > 0 v> 0 w> 0. jk V( x y) s an artrary pont of the trangle wth vertces V ( x y ) V ( x y ) and VVV 3 V x y ISSN:

3 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 III. POSITIVE BERNSTEIN-BÉZIER RATIONAL QUARTIC UNCTION In ths secton the suffcent condtons are derved on the ordnates of Bernsten-Bézer ratonal quartc functon () to preserve the shape of postve scattered data. Puvw> 0f It can e easly oserved that P( u v w ) > and P ( u v w ) > 0 0. We assume that the Bézer ordnates at the vertces are strctly postve.e. 00 > 0 00 > 0 and 00 > 0. The suffcent condtons on the remanng Bézer ordnates are derved to ensure the postvty of the entre patch r (3) r > 0. The weght functons are chosen n the followng way: 00 l 00 m 00 n jk t + j+ k j k () l > 0 m > 0 n > 0 and t > 0. P uvw depends upon the Bézer ordnates jk j k + j+ k. Susttutng the values of Bézer ordnates and weght functons from ()-() nto P ( uvw ) t s rewrtten as: The postvty of + + P uvw ull vmm wnn ( rt u v + uv + u w + uw + v w + vw uv uw vw uvw uvw ) + uvw. (5) g. Dstruton of the Bézer ordnates of the Bernsten-Bézer ratonal quartc functon. Snce u v + uv + u w + uw + v w + vw + 6u v + 6uw + 6vw + uvw+ uvw+ uvw u v w e 3 V e Utlzng the aove expresson n (5) P ( uvw) takes the form P uvw u ll+ rt + v mm+ rt w ( nn rt) rt. + + (6) V e V 3 Let g. Locaton of edges of VVV L 00 M 00 N () L > 0 M > 0 and N > 0. It s assumed that all the oundary Bézer ordnates have the same value.e. rom (5) t s clear that when r 0 P( u v w ) > when rt ncreases P ( uvw) 0 decreases. Assume that l m n r and t are fxed at the mnmum value of P ( uvw ) the followng condtons hold: P P u v 0 (7) ISSN:

4 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 P P u w 0. Susttutng the value of (8) P uvw from (6) n to (7) and (8) the followng rato s otaned u: v: w : :. ll + rt 3 mm + rt 3 nn + rt 3 (9) Snce u+ v+ w the rato nvolved n (9) provdes the followng values of arycentrc coordnates u v and w u v 3 3 S ll+ rt S mm + rt w. S 3 nn + rt S ll + rt mm + rt nn + rt Susttutng these u v and w nto (6) we otan the mnmum value of P ( uvw ). Puvw ( ) rt ll + rt mm + rt nn + rt (0) It s clear from (0) P ( u v w ) > 0 when r 0 and P ( uvw) decreases as r ncreases. Equaton (0) s rewrtten as: P ( u v w) rt R ll mm nn R rt rt rt Replacng y m > 0 r n () we have t P ( u v w) m R 3 () () 3 mll mmm mnn R t t t P uvw we shall estmate mnmum value of r. Solvng m Equaton () for m we have To assure postvty of m ( m ) (3) + +. mll 3 mmm 3 mnn t t t It s oserved that for l > 0 m > 0 n > 0 L > 0 M > 0 N > 0 t > 0 and m > 0 we have ( m ) < 0 and m m > Snce m 0. m > 0 s convex over the whole doman. Ths oservaton reports that ( m ) must have one mnma over the entre nterval. Solvng the Equaton (3) we shall fnd the requred value of m. The Equaton (3) can solved from any numercal technque of estmaton of roots however here t s solved through Newton- Raphson method. The requred lower ound of Bézer ordnates and s r. m The aove dscusson can e summarzed as: Theorem. The Bernsten- Bézer ratonal quartc functon () wth 00 L 00 M 00 N L > 0 M > 0 and N > 0 s postve ( Puvw> ( ) 0 uvw ) f the Bézer ordnates satsfy the relaton r r s otaned y solvng the Equaton (3) r. m ISSN:

5 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 IV. C POSITIVE BERNSTEIN-BÉZIER RATIONAL QUARTIC SURACE The constructon of C postvty preservng surface for the scattered data ( x y z) 3... N z > 0 nvolves the followng steps:. Trangulaton of the doman data ( x y ) 3... N.. Intalzaton of partal dervatves. 3. Creaton of the fnal surface whch comprses of quartc Bézer trangular patches each of whch s guaranteed to reman postve. The Bernsten-Bézer ratonal quartc trangular patch s C at the vertces of the trangle f the oundary Bézer ordnates are: uuuur + VV f uuuur VV f uuuur + VV f uuuur VV f uuuur + VV f uuuur VV f V V V3 V3 V V () The values of oundary Bézer ordnates are calculated y adoptng the approach of [7]. or an artrary value of weght functon the oundary Bézer ordnates defned n () may not oey the lower ounds developed n Theorem. rom () t s clear that the postvty condton proposed n Theorem wll e satsfed y the oundary Bézer ordnates ether y ncreasng the weghts or y decreasng the weghts 00 and. 00 In such a way 00 the derved postvty condtons are satsfed e.g. 03 > r or 00 f f 00 + ( x3 x ) ( V ) ( y3 y ) ( V ) r. + > 03 x y The weghts are nvolved n the postvty preservaton of data and 0 are local to each trangle thus the change n the values of these weghts wll not affect the C contnuty at the vertces. A. Inner Bézer ordnates or each trangle now we wll fnd the nner Bézer ponts. Ths needs to e done n order to ensure C contnuty across patch oundary. In ths scheme each trangular surface patch s a convex comnaton of three quartc Bézer patches. The fnal surface patch s the convex comnaton of the trangular patches P 3. The trangular patches have same vertex and oundary Bézer ordnates ut dfferent nner Bezer ordnates. The constrants are determned on the nner Bézer ordnates to ensure C contnuty along the edges e 3 of trangle. The fnal surface patch P s the convex comnaton of trangular patches P 3. The fnal surface P s expressed as: 3 P CP + CP + C3 P (5) R + R P R + R 3 R + R P P 3 D D D R u v w uv uv uw uw vw vw uv00 + 6uw vw00 R u vw + uv w + uvw R u vw + uv w + uvw R u vw + uv w + uvw 3 ISSN:

6 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 D u + v + w + u v + uv uw30 + uw03 + vw03 + vw03 + 6uv0 + 6uw0 + 6vw0 + uvw + uvw + uvw vw C vw + uw + uv C uw vw + uw + uv C uv vw + uw + uv 3. Susttutng the values of P P and P 3 we have: R+ u vw + uv w + uvw Puvw ( ) D (6) 3 vw + uw + uv vw + uw + uv 3 vw + uw + uv vw + uw + uv 3 vw + uw + uv. vw + uw + uv To determne the values of and we P use the value of normal dervatves n 3 along the edges e 3. Hence the nward normal dervatve of P.e. P along the e s n P P P P () + + n u v w P P P. u v w (7) n s the nward normal to the edge e. Smlarly the nward normal to the remanng edges are n and n3. P P Susttutng the values of and P n u v w (7) and after some smplfcaton we have P Av + Bvw+ Cvw+ Dvw+ Evw+ vw+ Gvw+ Hw n av v w cv w dvw ew 3 3 ( ) A ( ) 00 B ( ( ) (8) C ( ) 00 ( ) D ( ) 00 ( ) 03 + ( ) 03 + ( ) 0 E ( ) 00 + ( ) 03 + ( ) 03 ( ) ( ) 00 + ( ) ) ISSN:

7 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 G ( ) 00 + ( ) 03 H Snce we are nterested n the lnear value of P (oth numerator and denomnator of (8) n should e lnear). Numerator of (8) s made lnear y the followng susttutons: B 6 A+ H C 5A+ 6 H D 0A+ 5 H E 5A+ 0 H 6A + 5 H G A + 6 H. Smlarly for the denomnator a c 6 0 d 03 e. 00 The expresson av + v 3 w+ cv w + dvw 3 + ew s lnear f c ae a + e c a e.e The aove computaton leads to the followng system of equatons: rom the aove dscusson t s clear that only three parameters ( ) are free whle the values of remanng are dependent on these parameters. Let k k s any postve real numer. Smlarly the normal dervatves along the other P P edges.e. and can e computed. n n3 Lnearty of normal dervatves along the edges provdes the followng set of restrctons on the Bézer ordnates and weght functons. k k 6 k A (9) ' 00 0 k + 8k k00 ' 30 k0 A (0) 8k + 7k + 7k0 ' 8k03 + k 0 A3 () 8k 8k03 + 7k ' 7k0 k 0 A () k + 8k 30k 0 8k03 ' k00 A5 (3) ' k k00 6 k 0 A6 () ' k k00 6 k 0 B (5) 8k + k k00 ' 8k30 30 k 0 B (6) k + 8k 7k0 ' 7k0 k 0 B3 (7) 8k + 7k 8k03 ' + k0 B (8) 8k k00 8k03 ' 30 k0 B5 (9) ' k 00 B6 (30) 3 ' k + k00 6 k 0 C (3) 3 3 k + 8k 8k30 ' k00 30 k 0 C (3) 3 3 7k + 8k 8k30 ' 7k0 + 3 k 0 C3 (33) 8k k 8k + k 30 0 ISSN:

8 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume k C (3) k 8k 8k k 30 k C (35) k k 6 k C (36) ' ' ' ' ' ' A B and C...6 are known(expressons of known Bézer ordnates and ). 00 The set of equatons (9)-(36) has lesser unknowns than numer of equatons. It provdes a flexle choce of unknowns. The optmal choce of oundary Bézer ordnates and weghts are those whch estalsh frst dervatve contnuty at vertces and edges and nherts postve shape of data as postve surface. V. NUMERICAL EXAMPLES In ths secton the results developed n Secton II-Secton IV are mplemented on two postve scattered sets taken n Tale and Tale. rstly the data sets are arranged y Delaunay trangulaton method. g. 3 and g. 6 are the Delaunay trangulaton of the data sets of Tale and Tale respectvely. The lnear nterpolaton of these postve data sets are shown n g. and g. 7 whch clearly ndcate that shape of surface s postve over the whole doman. The nterpolaton of these data sets y the scattered data nterpolaton scheme developed n Sectons II-IV shown n g. 5(Tale ) and g. 8(Tale ). It s clear from g. 5 and g. 8 that postve shape of the surface s preserved. Tale. A postve scattered data set. x y x y x y x y x 0 y x y x y x y Tale. A postve scattered data set. x y x y x y x y x y x y x y x y x y x y x y x y ISSN:

9 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 g. 3 Trangulaton of the doman of postve data set n Tale. g. 6 Trangulaton of doman of postve data set n Tale. g. Lnear nterpolaton of postve data set n Tale. g. 7 Lnear nterpolaton of postve data set n Tale. g. 5 Postve ratonal quartc surface. g. 8 Postve ratonal quartc surface. VI. CONCLUSION In ths study an nterpolaton scheme s developed to preserve the shape of postve scattered data. The Bernsten-Bézer ratonal quartc functon s used as nterpolaton tool. The Bernsten Bézer ratonal quartc functon s the comnaton of Bézer ordnates and weght functons. These weght functons ehave lke ISSN:

10 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 shape refnement parameters (free parameters). The used nterpolaton technque requres pretrangulaton of data. The data s trangulated such that each data pont s lyng at the vertex of trangle. Data ponts provde the values of vertex Bézer ordnates. The values of oundary Bézer are computed y C contnuty at the vertces of trangles. The C contnuty along the edges of trangles provdes the value of remanng Bézer ordnates and weght functons. The lower ounds of nner and oundary Bézer ordnates are determned to assure postvty of trangular patch. If these Bézer ordnates do not oey the developed constrants of postvty then these are modfed y the values of weght functons to assure postvty. The developed nterpolaton s local C applcale to oth data and data wth dervatves and provdes opportunty of shape refnement y sutale choce of weghts. The ratonal structure of nterpolant ncorporates data havng sngulartes. REERENCES [] M. Bastan-Walther and J. W. Schmdt Range restrcted nterpolaton usng Gregory s ratonal cuc splnes Journal of Computatonal and Appled Mathematcs Vol pp.-37. [] K. W. Brodle M. R. Asm and K. Unworth Constraned vsualzaton usng Shepard nterpolaton famly Computers and Graphcs orum Vol. No. 005 pp [3] T. N. T. Goodman H. B. Sad and L. H. T.Chang Local dervatve estmaton for scattered data nterpolaton Appled Mathematcs and Computaton Vol pp [] M. Herrmann B. Mulansky and J. W. Schmdt Scattered data nterpolaton suject to pecewse quadratc range restrctons Journal of Computatonal and Appled Mathematcs Vol pp [5] Øyvnd Hjelle and M. Dæhlen Trangulatons and Applcatons Sprnger (006). [6] M. Z. Hussan and M. Hussan C postve scattered data nterpolaton Computers and Mathematcs wth Applcatons Vol pp [7] M. Z. Hussan and M. Hussan C postvty preservng scattered data nterpolaton usng ratonal Bernsten-Bézer trangular patch Journal of Appled Mathematcs and Computng Vol. 35 No. - 0 pp [8] Z. Luo and X. Peng A C ratonal splne for range restrcted nterpolaton of scattered data Journal of Computatonal and Appled Mathematcs Vol pp [9] B. Mulansky and J. W. Schmdt Powell- San splnes n range restrcted nterpolaton of scattered data Computng Vol. 53 No. 99 pp M. Z. Hussan s a Professor n Punja Unversty Lahore Pakstan. He receved hs Ph.D. from Punja Unversty Pakstan n 00. Hs research nterests nclude Computatonal Mathematcs Computer Graphcs CAGD CAD/CAM Image Processng and Soft Computng. He has advsed/supervsed more than 36 students for ther M.Phl. and PhD theses. He has pulshed more than 65 pulcatons n the form of journal and conference papers. M. Hussan s an Assstant Professor n Lahore College for Women Unversty Lahore Pakstan. She receved her Ph.D. from Punja Unversty Pakstan n 009. Her research nterests nclude CAGD CAD and Vsualzaton. She has supervsed more than 3 students for ther M.Phl theses. She has pulshed more than 30 pulcatons n the form of journal and conference papers. M. Buttar s a research student n Unversty of the Punja Lahore Pakstan. ISSN:

11 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 Tale 3. Numercal results of g x V V y x V V y x V3 V3 y ISSN:

12 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume 8 0 Tale. Numercal results of g x V V y x V V y x V3 V3 y ISSN:

13 INTERNATIONAL JOURNAL O MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES Volume ISSN:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Single Variable Optimization

Single Variable Optimization 8/4/07 Course Instructor Dr. Raymond C. Rump Oce: A 337 Phone: (95) 747 6958 E Mal: rcrump@utep.edu Topc 8b Sngle Varable Optmzaton EE 4386/530 Computatonal Methods n EE Outlne Mathematcal Prelmnares Sngle

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

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

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

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

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

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013 ISSN: 2277-375 Constructon of Trend Free Run Orders for Orthogonal rrays Usng Codes bstract: Sometmes when the expermental runs are carred out n a tme order sequence, the response can depend on the run

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

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More 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

Least squares cubic splines without B-splines S.K. Lucas

Least squares cubic splines without B-splines S.K. Lucas Least squares cubc splnes wthout B-splnes S.K. Lucas School of Mathematcs and Statstcs, Unversty of South Australa, Mawson Lakes SA 595 e-mal: stephen.lucas@unsa.edu.au Submtted to the Gazette of the Australan

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

Curve Fitting with the Least Square Method

Curve Fitting with the Least Square Method WIKI Document Number 5 Interpolaton wth Least Squares Curve Fttng wth the Least Square Method Mattheu Bultelle Department of Bo-Engneerng Imperal College, London Context We wsh to model the postve feedback

More information

Optimal recovery of twice differentiable functions based on symmetric splines

Optimal recovery of twice differentiable functions based on symmetric splines Avalable onlne at www.scencedrect.com Journal of Approxmaton Theory 164 (01) 1443 1459 www.elsever.com/locate/jat Full length artcle Optmal recovery of twce dfferentable functons based on symmetrc splnes

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

A new construction of 3-separable matrices via an improved decoding of Macula s construction

A new construction of 3-separable matrices via an improved decoding of Macula s construction Dscrete Optmzaton 5 008 700 704 Contents lsts avalable at ScenceDrect Dscrete Optmzaton journal homepage: wwwelsevercom/locate/dsopt A new constructon of 3-separable matrces va an mproved decodng of Macula

More information

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

where I = (n x n) diagonal identity matrix with diagonal elements = 1 and off-diagonal elements = 0; and σ 2 e = variance of (Y X).

where I = (n x n) diagonal identity matrix with diagonal elements = 1 and off-diagonal elements = 0; and σ 2 e = variance of (Y X). 11.4.1 Estmaton of Multple Regresson Coeffcents In multple lnear regresson, we essentally solve n equatons for the p unnown parameters. hus n must e equal to or greater than p and n practce n should e

More information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

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

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

MAE140 - Linear Circuits - Fall 10 Midterm, October 28

MAE140 - Linear Circuits - Fall 10 Midterm, October 28 M140 - Lnear rcuts - Fall 10 Mdterm, October 28 nstructons () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

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

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

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

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

A new family of high regularity elements

A new family of high regularity elements A new famly of hgh regularty elements Jguang Sun Abstract In ths paper, we propose a new famly of hgh regularty fnte element spaces. The global approxmaton spaces are obtaned n two steps. We frst buld

More information

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems

More information

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists * How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

For now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results.

For now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results. Neural Networks : Dervaton compled by Alvn Wan from Professor Jtendra Malk s lecture Ths type of computaton s called deep learnng and s the most popular method for many problems, such as computer vson

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

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

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION

ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LIX, 013, f.1 DOI: 10.478/v10157-01-00-y ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION BY ION

More information

Curiosities on the Monotone Preserving Cubic Spline

Curiosities on the Monotone Preserving Cubic Spline PRE-PRINT UD 2014-03 Curostes on the Monotone Preservng Cubc Splne Mchele Mao and Jorrt-Jaap de Jong ugly Ducklng B.V. Burgemeester le Fevre de Montgnylaan 30, 3055LG Rotterdam, the Netherlands December

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Feb 14: Spatial analysis of data fields

Feb 14: Spatial analysis of data fields Feb 4: Spatal analyss of data felds Mappng rregularly sampled data onto a regular grd Many analyss technques for geophyscal data requre the data be located at regular ntervals n space and/or tme. hs s

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

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k) ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Module 3: Element Properties Lecture 1: Natural Coordinates

Module 3: Element Properties Lecture 1: Natural Coordinates Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers

More information

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,

More information

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

On the Multicriteria Integer Network Flow Problem

On the Multicriteria Integer Network Flow Problem BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More 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

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

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Feature Selection: Part 1

Feature Selection: Part 1 CSE 546: Machne Learnng Lecture 5 Feature Selecton: Part 1 Instructor: Sham Kakade 1 Regresson n the hgh dmensonal settng How do we learn when the number of features d s greater than the sample sze n?

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Modeling curves. Graphs: y = ax+b, y = sin(x) Implicit ax + by + c = 0, x 2 +y 2 =r 2 Parametric:

Modeling curves. Graphs: y = ax+b, y = sin(x) Implicit ax + by + c = 0, x 2 +y 2 =r 2 Parametric: Modelng curves Types of Curves Graphs: y = ax+b, y = sn(x) Implct ax + by + c = 0, x 2 +y 2 =r 2 Parametrc: x = ax + bxt x = cos t y = ay + byt y = snt Parametrc are the most common mplct are also used,

More information

Isogeometric Analysis with Geometrically Continuous Functions on Multi-Patch Geometries. Mario Kapl, Florian Buchegger, Michel Bercovier, Bert Jüttler

Isogeometric Analysis with Geometrically Continuous Functions on Multi-Patch Geometries. Mario Kapl, Florian Buchegger, Michel Bercovier, Bert Jüttler Isogeometrc Analyss wth Geometrcally Contnuous Functons on Mult-Patch Geometres Maro Kapl Floran Buchegger Mchel Bercover Bert Jüttler G+S Report No 35 August 05 Isogeometrc Analyss wth Geometrcally Contnuous

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

Section 3.6 Complex Zeros

Section 3.6 Complex Zeros 04 Chapter Secton 6 Comple Zeros When fndng the zeros of polynomals, at some pont you're faced wth the problem Whle there are clearly no real numbers that are solutons to ths equaton, leavng thngs there

More information

Speeding up Computation of Scalar Multiplication in Elliptic Curve Cryptosystem

Speeding up Computation of Scalar Multiplication in Elliptic Curve Cryptosystem H.K. Pathak et. al. / (IJCSE) Internatonal Journal on Computer Scence and Engneerng Speedng up Computaton of Scalar Multplcaton n Ellptc Curve Cryptosystem H. K. Pathak Manju Sangh S.o.S n Computer scence

More information

The L(2, 1)-Labeling on -Product of Graphs

The L(2, 1)-Labeling on -Product of Graphs Annals of Pure and Appled Mathematcs Vol 0, No, 05, 9-39 ISSN: 79-087X (P, 79-0888(onlne Publshed on 7 Aprl 05 wwwresearchmathscorg Annals of The L(, -Labelng on -Product of Graphs P Pradhan and Kamesh

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

Affine and Riemannian Connections

Affine and Riemannian Connections Affne and Remannan Connectons Semnar Remannan Geometry Summer Term 2015 Prof Dr Anna Wenhard and Dr Gye-Seon Lee Jakob Ullmann Notaton: X(M) space of smooth vector felds on M D(M) space of smooth functons

More information

EEL 6266 Power System Operation and Control. Chapter 3 Economic Dispatch Using Dynamic Programming

EEL 6266 Power System Operation and Control. Chapter 3 Economic Dispatch Using Dynamic Programming EEL 6266 Power System Operaton and Control Chapter 3 Economc Dspatch Usng Dynamc Programmng Pecewse Lnear Cost Functons Common practce many utltes prefer to represent ther generator cost functons as sngle-

More information

Additive Schwarz Method for DG Discretization of Anisotropic Elliptic Problems

Additive Schwarz Method for DG Discretization of Anisotropic Elliptic Problems Addtve Schwarz Method for DG Dscretzaton of Ansotropc Ellptc Problems Maksymlan Dryja 1, Potr Krzyżanowsk 1, and Marcus Sarks 2 1 Introducton In the paper we consder a second order ellptc problem wth dscontnuous

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

APPROXIMATE PRICES OF BASKET AND ASIAN OPTIONS DUPONT OLIVIER. Premia 14

APPROXIMATE PRICES OF BASKET AND ASIAN OPTIONS DUPONT OLIVIER. Premia 14 APPROXIMAE PRICES OF BASKE AND ASIAN OPIONS DUPON OLIVIER Prema 14 Contents Introducton 1 1. Framewor 1 1.1. Baset optons 1.. Asan optons. Computng the prce 3. Lower bound 3.1. Closed formula for the prce

More information

(1 ) (1 ) 0 (1 ) (1 ) 0

(1 ) (1 ) 0 (1 ) (1 ) 0 Appendx A Appendx A contans proofs for resubmsson "Contractng Informaton Securty n the Presence of Double oral Hazard" Proof of Lemma 1: Assume that, to the contrary, BS efforts are achevable under a blateral

More information

The Study of Teaching-learning-based Optimization Algorithm

The Study of Teaching-learning-based Optimization Algorithm Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute

More information

EEE 241: Linear Systems

EEE 241: Linear Systems EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they

More information

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function A Local Varatonal Problem of Second Order for a Class of Optmal Control Problems wth Nonsmooth Objectve Functon Alexander P. Afanasev Insttute for Informaton Transmsson Problems, Russan Academy of Scences,

More information