A Piecewise Rational Quintic Hermite Interpolant for Use in CAGD

Size: px
Start display at page:

Download "A Piecewise Rational Quintic Hermite Interpolant for Use in CAGD"

Transcription

1 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 whch are capable of eactly representng any conc arc of arbtrary length by usng only one segment. They can also provde a varety of local/global shape parameters for ntutvely sculptng free form curves wthout affectng the C contnuty nherent n the orgnal constructon.. Introducton Durng the last two decades there has been consderable nterest n developng a C soluton to the nterpolaton problem of zeroth, frst and second order dervatves at a gven selecton of ponts. Ths s due to the fact that such geometrc propertes turn out to be of prmary concern n geometrc modellng or computer aded desgn applcatons, e.g., n the smoothng of curves. However, the work done over the years has resulted n many C nterpolaton methods [, 3,,, 8, 9, ] that cannot satsfy at the same tme all the propertes we have found vtal or smply desrable to nclude n a user-orented model, desgned to be ntegrated n a conventonal NURBS-based CAD system. For ths reason, we are gong to propose a new class of C pecewse ratonal quntc Hermte nterpolants that possesses an eplct constructon,.e., that does not nvolve the soluton of any equatons; provdes local and ntutve sculptng parameters for fast nteractve manpulaton of the shape of a curve; s capable of representng both smooth shapes and sharp shapes, and more precsely of mng smooth zones and sharp ones n the same curve, so that the transton between them always preserves the orgnal C contnuty. Mathematcal Methods for Curves and Surfaces: Tromsø M. Dæhlen, K. Mørken, and L. L. Schumaker (eds.), pp.. Copyrght Oc by Nashboro Press, Brentwood, TN. ISBN X All rghts of reproducton n any form reserved.

2 G. Cascola and L. Roman The paper s structured as follows. In Secton we develop and construct ths new class; n Secton 3 we show that our ratonal quntc Hermte nterpolants are capable to eactly represent any conc arc of arbtrary length by usng only one segment wth postve weghts and fnte control ponts. Fnally, n Secton we eplot our model for ntutvely sculptng C -contnuous free form curves by local deformatons whch do not compromse the orgnal C contnuty. Although our proposal s not lmted to parametrc sets of ponts, but works effcently both n the vectoral and n the scalar cases, we confne our attenton here to the parametrc formulaton only.. The Class of Pecewse Ratonal Quntc Hermte Interpolants Our objectve s to construct over an arbtrary non-trval nterval [t, t + ] R, a ratonal curve segment c (t) : [t, t + ] R ν, ν >, that satsfes the followng nterpolaton condtons at the endponts: c (t ) = F, c (t ) = D (), c (t ) = D (), c (t +) = D () +, c (t +) = D () +, c (t + ) = F +. () To fulfll our am, we wrte c (t) as the ratonal quntc Bézer curve R j,(t) = c (t) = P jrj,(t), () j= µ j B j, (t) ( k= µ k B k, (t) wth Bj,(t) (t+ t) = j) j (t t ) j (t + t ), and the control ponts P j Rν, j =,..., have to be determned. Two of them turn out to be quckly defned: P = F and P = F +. For the remanng four, we recall the frst and second endpont dervatve formulae for ratonal quntc Bézer curves: c (t ) = µ (P P ) h µ, c (t ) = µ (P P ) h µ ( ) µ µ µ (P P ) h µ, (3) ( c (t +) = µ 3 (P 3 P ) µ h µ µ ) µ (P P ) h µ, c (t +) = µ (P P ) h µ h = t + t and µ j, j =,..., are the postve weghts of the ratonal representaton (). Thus, by solvng for P, P, P 3, P, we get

3 A Pecewse Ratonal Quntc Hermte Interpolant 3 P = F + h µ D () µ, P = F + (µ µ )h µ P 3 = F + (µ µ )h D () µ h µ D () µ 3 D () + h µ µ D (), +, P = F + h µ µ D () +. If a sequence of nterpolatng data F, D (), D (), =,..., N s gven, such a constructon allows to solve the nterpolaton problem by a pecewse ratonal quntc made of peces c (t) that jon together wth the so-called C ratonal contnuty (see [6]). In order to guarantee that adjacent curve segments jon eactly parametrcally C (not just ratonally C ), we set µ = µ and, wthout loss of generalty, we assume them to be. Thus, Defnton. Gven the nterpolatng ponts F R ν, =,..., N and the frst and second order dervatves D (), D () R ν, =,..., N defned at the knots t, =,..., N (wth t < t <... < t N ), a pecewse ratonal quntc Hermte nterpolant c(t) C[t,t N ] s defned for t [t, t + ], =,..., N by the epresson c (t) = P jrj,(t), () j= P = F, P = F + hd() µ, P = F + (µ )hd() µ + h D(), () µ P 3 = F + (µ )hd() + µ 3 + h D() + µ 3, P = F + hd() +, P = F +, and {R j, (t)} j=,..., are the ratonal quntc Bézer polynomals n (3) defned by the postve weghts µ j, j =,..., wth µ µ =. µ 3. Eact Representaton of Conc Arcs of Arbtrary Length Conc arcs play a fundamental role n CAD/CAM applcatons. In ths secton we wll show that a ratonal quntc Hermte segment can be used for precsely representng any conc arc of arbtrary length. Thus, the pecewse nterpolatory model presented n Secton allows us to ncorporate the class of the so-called conc secton subsplnes (see [7], page 79), whch contans all those smooth curves made of peces of conc sectons that pass through gven ponts and assume prescrbed dervatves. Such a model s of great use n engneerng applcatons, e.g. n mllng processes and n the constructon of dsk cams.

4 G. Cascola and L. Roman F = F = " f f y f y Parabolc Arc y = a a δ ], + [ Hyperbolc Arc y = a b b a < left branch > rght branch δ ], + [ c = cosh(δ) s = snh(δ) #» δ» ac aδ bs f y f y Ellptc Arc + y = a b a, b δ ], π] ρ = ( + tg δ ) ω = ρ 8ρ 3 + 8ρ ρ + a(ρ 8ρ 3 +ρ ) ω bρ( ρ +3ρ ) ω " # " # " # " f f f f # " # f»» D () δ as = f y aδ bsc " # " f D () = f y f y 3 D () = f y 3 D () = f y f y 3 6aρ( ρ +ρ 3 ρ +ρ ) ω b( 8ρ 6 +ρ ρ +ρ 6ρ+) ω # " f # " # f y y» " # as (c ) 8aδ bs( + c c ) 3 f y 3 f y 6a( ρ +ρ 3 ρ ρ+) ω 8b( 8ρ +ρ +8ρ 3 3ρ +ρ ) ω 3 f y 3 3 µ = µ µ = µ 3 3+c +3c ρ +ρ 3 6ρ +ρ+ ω ρ 8ρ 3 +ρ + ω Tab.. Data for eact representaton of arbtrary conc arcs va the ratonal quntc Hermte nterpolatory model. Theorem. The ratonal quntc Hermte segment c (t), t [, ] nterpolatng the data n Tab. wth prescrbed postve weghts {µ j } j=,...,, allows us to eactly represent any conc arc of arbtrary length. Proof: Wrtng the ratonal quntc Hermte nterpolatory model () by usng the data gven n Tab., we obtan an epresson of c (t) whose components (t) and y(t) turn out to satsfy the followng canoncal equatons

5 A Pecewse Ratonal Quntc Hermte Interpolant Fg.. Eamples of arbtrary conc arcs eactly represented va a ratonal quntc Hermte segment: parabolc arc, hyperbolc arc, ellptc arc/full ellpse, crcular arc/full crcle. n case of parabolc, hyperbolc, or ellptc arcs, respectvely: y(t) = a (t) (t), a y (t) (t) b =, a + y (t) b =. Remark. The postve free parameter δ allows us to eactly represent conc arcs of arbtrary length. Notce that n the case of ellptc arcs of ampltude δ, by choosng the half-angle δ equal to π, we can precsely reproduce full ellpses of rad a, b R that pass through the ponts F F = ( a, ) and assume the frst and second order dervatves D () D () = (, b), D () = (6a, 8b), D () = (6a, 8b) (see Fg. ). As a specal case we can thus represent full crcles and crcular arcs by specfyng the radus r a = b and the half-angle δ ], π] (see Fg. ). We remnd the reader that, as was proven n [], the ratonal quntc Bézer form s the mnmum degree representaton that allows us to obtan a full crcle/ellpse usng only postve weghts and fnte control ponts.. Sculptng of Free Form Curves by Local/global Deformatons We now rearrange equaton () n the equvalent cardnal form and c (t) = I jφ j,(t), j= I = F, I = D (), I = D (), I 3 = D () +, I = D () +, I = F + φ,(t) = R [,(t) + R,(t) + R,(t) ] φ,(t) = h R,(t) + µ R,(t) φ,(t) = φ 3,(t) = µ [ µ h µ µ R,(t) h µ 3 R 3,(t) φ,(t) = h R3,(t) + R µ,(t) φ,(t) = R3,(t) + R,(t) + R,(t) µ 3 ]

6 6 G. Cascola and L. Roman s the ratonal formulaton of the well-known quntc Hermte polynomals. Snce φ,(t)+φ,(t), t follows that whenever φ j,, j =,..., vansh, the curve segment c (t) concdes wth the lne through F, F +. As h s never zero, ths s easly verfed whenever µ, µ approach nfnty and µ, µ 3 approach nfnty faster than µ, µ respectvely. Ths last condton s trvally satsfed by settng µ = α(µ ) β and µ 3 = α(µ ) β, wth α, β >. Here we choose µ = (µ ), µ 3 = (µ ) and reformulate Defnton n the followng way. Defnton. Gven the nterpolatng ponts F R ν, =,..., N and the frst and second order dervatves D (), D () R ν, =,..., N assgned at the knots t, =,..., N (wth t < t <... < t N ), we defne over the nterval [t, t + ] the pecewse ratonal quntc Hermte nterpolant c(t) C[t,t N ] by the epresson c (t) c (t, v, w ) = C = F, C = F + hd() v C 3 = F + (w )hd() + w C jrj,(t) (6) j=, C = F + (v )hd() v + h D() + w + h D(), (7) v, C = F + hd() + w, C = F + and {R j, (t)} j=,..., are the ratonal quntc Bézer polynomals n (3) defned by the postve weghts µ = µ :=, µ := v, µ := v, µ 3 := w, µ := w. Remark. In ths way, by choosng w = v =,..., N, the pecewse ratonal quntc Hermte nterpolant c(t), represented as NURBS on a sngle knot-partton wth nternal -fold knots, becomes parametrcally C -contnuous at t = t and thus can be represented on a new knot-partton wth only nternal 3-fold knots. Although the shape of a NURBS curve can be modfed by the manpulaton of ts weghts, the possblty of controllng the shape through the classcal change of the weght vector may sometmes be confusng, as the modfcatons of two adjacent weghts are mutually cancelled, and not very effectve, snce the curve s forced to stay n the conve hull of ts control ponts. For ths reason we have proposed an nterpolatory ratonal quntc splne nvolvng two sculptng parameters per nterval that, although correspondng to the weghts of the ratonal representaton, nfluence the control ponts defnton and thus have large scale effects on the shape of

7 A Pecewse Ratonal Quntc Hermte Interpolant 7 the curve. In partcular, such free parameters provde a varety of local and global shape controls, lke pont and nterval tenson effects. In order to analyze such effects on the shape of the curve, we consder here the lmtng behavor of the ratonal pecewse nterpolant whenever each shape parameter approaches nfnty, we assume that the other parameters are held constant wth respect to each lmt process (note that ths s possble only because every weght modfcaton do not nfluence ts neghborng weghts). Thus the followng shape deformatons mmedately follow by nspecton of equaton (6). Theorem. [Pont Tenson] Let v and w approach nfnty. Snce lm c (t) = F = lm c (t), (8) v w we have a pont tenson parameter controllng the curve tenson from both rght and left of the pont F, the pecewse ratonal nterpolant c(t) wll appear to have a corner. Proof: To prove the frst (second) equalty n (8) we nsert the equaton of c (t) (c (t)), dvde both ts numerator and denomnator by v (w ) and compute lm v(w ). Whle two shape parameters per nterval are necessary for provdng pont tenson effects, we are gong to show now that only one shape parameter per nterval s enough when nterval tenson s requred. To ths end we assume the parameters v, w satsfy the relaton v = λ w, wth λ ], + [, and we show that the parameter w plays the role of nterval tenson parameter for the sngle pece c (t, λ, w ). Lemma. Let v = λ w wth λ ], + [. If w approaches nfnty, then the ratonal quntc Hermte nterpolant c (t, λ, w ) converges unformly to the ratonal lnear nterpolant of F, F + wth weghts λ, : lm c (t, λ, w ) l (t, λ ) =, w wth l (t, λ ) = λ ( θ )F + θ F + λ ( θ ) + θ, t [t, t + ], θ = t t h [, ]. Proof: By smple computatons on c (t, λ, w ) t follows that the pecewse ratonal quntc Hermte nterpolant c (t, λ, w ), t [t, t + ] defned by (6) can be decomposed n the followng way: c (t, λ, w ) = l (t, λ ) + e (t, λ, w ),

8 8 G. Cascola and L. Roman h w (λ w )h D () w f(t) g(t) h(t) (F F + ) w D () +h D() (w )h D () + +h D() + w w (F + F ) h w w λ w (F F + ) + h w (λ w )h D () w D () +h D() (w )h D () + +h D() + w D () + h w D () + w λ w λ w (F + F ) w Tab.. Bézer coeffcents of the quntc polynomals f(t), g(t), h(t). and l (t, λ ) = λ ( θ )F + θ F + λ ( θ ) + θ, e (t, λ, w ) = f(t)λ B,(θ ) + g(t)b 3,(θ ) h(t)(λ B, (θ ) + B 3, (θ )), wth f(t), g(t), h(t) beng quntc Bézer polynomals defned by the coeffcents n Tab.. Thus, snce lm w e (t, λ, w ) =, t trvally follows that lm w c (t, λ, w ) l (t, λ ) =. Theorem 3. [Interval Tenson] Let v = λ w, wth λ ], + [. If w approaches nfnty, then the ratonal quntc Hermte nterpolant c (t, λ, w ) s pulled towards the lne segment through F and F +. Proof: By standard NURBS theory, t follows that when ν >, whatever we choose λ ], + [, the ratonal lnear nterpolant l (t, λ ) concdes wth the lne segment through F and F +. As a consequence, when all the nterval tenson parameters approach nfnty, the pecewse ratonal lnear nterpolant c(t) s pulled towards the polylne through the ponts F, but practcally s never a pecewse lnear nterpolant because the parameterzaton s C here, as t s only C for lnear nterpolants. Corollary. [Global Tenson] Let l(t), t [t, t N ] denote the pecewse ratonal lnear nterpolant defned t [t, t + ] by l (t, λ ). Suppose w w and v = λ w, wth λ ], + [, =,, N. Then the pecewse ratonal quntc Hermte nterpolant c(t) C [t, t N ] converges unformly to l(t) as w approaches nfnty,.e. lm w c(t) l(t) =, t [t, t N ] and thus c(t) s pulled towards the polylne through the ponts F.

9 A Pecewse Ratonal Quntc Hermte Interpolant 9 Proof: The result follows by applyng Theorem 3 over each nterval [t, t + ]. Whle we have just shown that for suffcently bg values of the nterval tenson parameters we are able to ntroduce straght lne segments nto a gven pecewse curve, we are gong to show now that for suffcently small values of the parameters we can pull out a bump or push n an ndentaton n a curve segment (see Fgs., 3). Theorem. [Interval Warpng] Progressvely decreasng the shape parameters v and w towards zero, the ratonal quntc Hermte nterpolant c (t) produces a looser and looser curve segment. Proof: If we look at the behavor of the control ponts C j, j =,, 3,, and hence of the Bernsten-Bézer conve hull, when the shape parameters v and w progressvely decrease towards zero, t s a smple matter to see that we wll get a looser and looser curve. Corollary. [Global Warpng] Let v and w progressvely decrease towards zero =,, N. Then the pecewse ratonal quntc Hermte nterpolant c(t) C [t, t N ] progressvely becomes looser and looser over each nterval [t, t + ]. Proof: We apply Theorem over each nterval [t, t + ].. Conclusons and Future Work In ths paper we have presented a new class of pecewse ratonal quntc Hermte nterpolants whch provde a varety of local and global shape parameters for ntutvely sculptng free-form curves, wthout affectng the C contnuty nherent n the orgnal constructon. In addton, the proposed model s capable of producng ether a sharp C -nterpolaton or a smooth C -nterpolaton, that s, although t always produces C -nterpolants, t enables the creaton of a varety of shape effects lke angular ponts, sharp edges, bumps and ndentatons (see Fgs., 3). The ablty to ncorporate eact conc arcs of arbtrary length and to m smooth curve segments, sharp corners and flat peces n an unrestrcted way, makes the pecewse ratonal quntc Hermte nterpolant model a canddate of choce for many applcatons. Our net step wll be to show that usng a non-lnear optmzaton procedure for determnng the sculptng parameters, we can use the proposed class also for appromatng any trgonometrc curve wth the desred order of precson. Acknowledgments. Ths work has been supported by FIRB.

10 G. Cascola and L. Roman Fg.. Eamples of local/global deformatons on an open 3D curve: no tenson (v = w =, =,..., ), nterval tenson (v = w = ), nterval warpng (v 3 = w 3 =.), pont tenson (v 3 = w = ), global tenson (v = w =, =,..., ), global warpng (v = w =., =,..., ) Fg. 3. Eamples of local/global deformatons on a closed 3D curve: no tenson (v = w =, =,..., 8), nterval tenson (v 3 = w 3 = ), nterval warpng (v 3 = w 3 =.), pont tenson (v 7 = w 6 = 6), global tenson (v = w =, =,..., 8), global warpng (v = w =., =,..., 8). References. Cascola G., Roman L., Ratonal Interpolants wth Tenson Parameters, n: Lyche T., Mazure M.-L. and Schumaker L.L. (Eds.), Curve and Surface Desgn: Sant-Malo, Nashboro Press (3), -. Chou J.J., Hgher order Bézer crcles, Computer Aded Desgn, 7() (99), 33-39

11 A Pecewse Ratonal Quntc Hermte Interpolant 3. Costantn P., Cravero I., Mann C., Constraned Interpolaton by Frenet Frame Contnuous Quntcs, n: Lyche T., Mazure M.-L. and Schumaker L.L. (Eds.), Curve and Surface Desgn: Sant-Malo, Nashboro Press (3), 7-8. Gregory J.A., Sarfraz M., A ratonal Cubc Splne wth Tenson, Computer Aded Geometrc Desgn 7 (99), -3. Gregory J.A., Sarfraz M., Yuen P.K., Interactve Curve Desgn usng C Ratonal Splnes, Computers & Graphcs 8()(99), Hohmeyer M.E., Barsky B.A., Ratonal Contnuty: Parametrc, Geometrc, and Frenet Frame Contnuty of Ratonal Curves, ACM Transactons on Graphcs, 8() (989), Hoschek J., Lasser D., Fundamentals of Computer Aded Geometrc Desgn, A K Peters (993) 8. Peters J., Local generalzed Hermte nterpolaton by quartc C space curves, ACM Transactons on Graphcs 8(3) (989), 3-9. Sarfraz M., Interpolatory Ratonal Cubc Splne wth Based, Pont and Interval Tenson, Computers & Graphcs 6() (99), 7-3. Sarfraz M., Balah M., A Curve Desgn Method wth Shape Control, Lecture notes n Computer Scence, Sprnger 669/3, Gulo Cascola and Luca Roman Dept. of Mathematcs - Unversty of Bologna P.zza Porta San Donato, 7 Bologna, Italy cascola@dm.unbo.t roman@dm.unbo.t

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

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

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

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

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

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

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

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

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

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

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

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

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

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

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

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

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

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

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

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

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

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

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

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

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

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

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

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

Snce h( q^; q) = hq ~ and h( p^ ; p) = hp, one can wrte ~ h hq hp = hq ~hp ~ (7) the uncertanty relaton for an arbtrary state. The states that mnmze t

Snce h( q^; q) = hq ~ and h( p^ ; p) = hp, one can wrte ~ h hq hp = hq ~hp ~ (7) the uncertanty relaton for an arbtrary state. The states that mnmze t 8.5: Many-body phenomena n condensed matter and atomc physcs Last moded: September, 003 Lecture. Squeezed States In ths lecture we shall contnue the dscusson of coherent states, focusng on ther propertes

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

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials

MA 323 Geometric Modelling Course Notes: Day 13 Bezier Curves & Bernstein Polynomials MA 323 Geometrc Modellng Course Notes: Day 13 Bezer Curves & Bernsten Polynomals Davd L. Fnn Over the past few days, we have looked at de Casteljau s algorthm for generatng a polynomal curve, and we have

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

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness. 20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed

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

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

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

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

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

The univariate Bernstein-Bézier form

The univariate Bernstein-Bézier form Jorg s Splne Lecture Notes The unvarate Bernsten-Bézer form 1 The unvarate Bernsten-Bézer form The Bernsten bass functons of degree d on the nterval [0, 1] are ( ) d B d, : u (1 u) d u. When the degree

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

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

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

On the set of natural numbers

On the set of natural numbers On the set of natural numbers by Jalton C. Ferrera Copyrght 2001 Jalton da Costa Ferrera Introducton The natural numbers have been understood as fnte numbers, ths wor tres to show that the natural numbers

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

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

Spectral Graph Theory and its Applications September 16, Lecture 5

Spectral Graph Theory and its Applications September 16, Lecture 5 Spectral Graph Theory and ts Applcatons September 16, 2004 Lecturer: Danel A. Spelman Lecture 5 5.1 Introducton In ths lecture, we wll prove the followng theorem: Theorem 5.1.1. Let G be a planar graph

More information

arxiv: v1 [math.co] 12 Sep 2014

arxiv: v1 [math.co] 12 Sep 2014 arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

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

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

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

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More 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

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

Formal solvers of the RT equation

Formal solvers of the RT equation Formal solvers of the RT equaton Formal RT solvers Runge- Kutta (reference solver) Pskunov N.: 979, Master Thess Long characterstcs (Feautrer scheme) Cannon C.J.: 970, ApJ 6, 55 Short characterstcs (Hermtan

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

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

Lecture 17 : Stochastic Processes II

Lecture 17 : Stochastic Processes II : Stochastc Processes II 1 Contnuous-tme stochastc process So far we have studed dscrete-tme stochastc processes. We studed the concept of Makov chans and martngales, tme seres analyss, and regresson analyss

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

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

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

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

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

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

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

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

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

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

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

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

Which Separator? Spring 1

Which Separator? Spring 1 Whch Separator? 6.034 - Sprng 1 Whch Separator? Mamze the margn to closest ponts 6.034 - Sprng Whch Separator? Mamze the margn to closest ponts 6.034 - Sprng 3 Margn of a pont " # y (w $ + b) proportonal

More information

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction CONJUGACY IN THOMPSON S GROUP F NICK GILL AND IAN SHORT Abstract. We complete the program begun by Brn and Squer of charactersng conjugacy n Thompson s group F usng the standard acton of F as a group of

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

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

Dirichlet s Theorem In Arithmetic Progressions

Dirichlet s Theorem In Arithmetic Progressions Drchlet s Theorem In Arthmetc Progressons Parsa Kavkan Hang Wang The Unversty of Adelade February 26, 205 Abstract The am of ths paper s to ntroduce and prove Drchlet s theorem n arthmetc progressons,

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

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

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1].

REDUCTION MODULO p. We will prove the reduction modulo p theorem in the general form as given by exercise 4.12, p. 143, of [1]. REDUCTION MODULO p. IAN KIMING We wll prove the reducton modulo p theorem n the general form as gven by exercse 4.12, p. 143, of [1]. We consder an ellptc curve E defned over Q and gven by a Weerstraß

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

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

Lecture 5 Decoding Binary BCH Codes

Lecture 5 Decoding Binary BCH Codes Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Generalized Linear Methods

Generalized Linear Methods Generalzed Lnear Methods 1 Introducton In the Ensemble Methods the general dea s that usng a combnaton of several weak learner one could make a better learner. More formally, assume that we have a set

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

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

One Dimension Again. Chapter Fourteen

One Dimension Again. Chapter Fourteen hapter Fourteen One Dmenson Agan 4 Scalar Lne Integrals Now we agan consder the dea of the ntegral n one dmenson When we were ntroduced to the ntegral back n elementary school, we consdered only functons

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

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

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

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

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

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

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

More information