Quadratic Log-Aesthetic Curves
|
|
- Ella Carroll
- 5 years ago
- Views:
Transcription
1 Quadratic Log-Aethetic Curve Norimaa Yohida[ ] and Takafumi Saito[ X] Nihon Univerit, Toko Univerit of Agriculture and Technolog, ABSTRACT Thi paper propoe quadratic log-aethetic curve that are curve whoe logarithmic curvature graph are quadratic. In previou work, generalized log-aethetic curve are derived b hifting either the curvature or the radiu of curvature of log-aethetic curve. Quadratic log-aethetic curve are another generalization of log-aethetic curve b making logarithmic curvature graph quadratic. We derive the equation of quadratic log-aethetic curve and clarif their characteritic. For drawing quadratic log-aethetic curve, we need to compute the invere of the error and imaginar error function. We preent a method for computing thee invere and confirm that the curve can be generated in real time. Keword: Quadratic log-aethetic curve, Logarithmic curvature graph, Error and imaginar error function. INTRODUCTION In the deign of highl aethetic urface, uch a the eterior of automobile and other, the ue of highl aethetic curve i important ince uch urface are contructed baed on aethetic feature curve. If the curvature of a feature curve i not monotonicall varing, the reflected image of the generated urface get eail ditorted, which i not aetheticall pleaing. See Fig. 9 of [7] for eample. In aethetic hape deign, the ue of curve with monotonicall varing curvature (and placing curvature etrema intentionall) i important. Freeform curve, uch a Bézier curve or NURBS curve are widel ued in CAD tem, but controlling the curvature of freeform curve i not ea. Among variou curve with monotonicall varing curvature, Harada et al. ha propoed logaethetic curve baed on their original anali [] of man aethetic curve including feature curve of automobile. Log-aethetic curve [,7,] are curve with linear logarithmic curvature graph whoe lope i α. Special cae of log-aethetic curve are the Clothoid if α =, Nielen piral if α = 0, a logarithmic piral if α =, the circle involute if α =, and a circle if α = ±. Variou work ha been done for logaethetic curve. Some of them are: compound-rhthm log-aethetic curve [3], etenion to pace curve uing the linearit in the logarithmic torion graph [4], proving the uniquene of the curve egment when α < 0 (curve with inflection point) [6], proving the evolute of log-aethetic curve are alo log-aethetic curve [6], fat computation of curve egment uing incomplete Gamma function[], generalization b hifting either the curvature or the radiu of curvature[,0], G Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
2 Hermite interpolation uing three connected egment [9], and application to generating urface [3,4,8]. Thi paper propoe quadratic log-aethetic curve, which are curve whoe logarithmic curvature graph [5] are quadratic. In previou work, generalized log-aethetic curve [,0] have been propoed b Miura and Gobithaaan. Generalized log-aethetic curve are derived b hifting either the curvature or the radiu of curvature of log-aethetic curve. Quadratic log-aethetic curve are another generalization of log-aethetic curve b making logarithmic curvature graph quadratic. It ha been hown that the incomplete Gamma function arie in the tangential angle formulation of logaethetic curve [0]. We how that other pecial function, which are the error and imaginar error function, arie in the formulation of quadratic log-aethetic curve. We derive the equation of quadratic log-aethetic curve and clarif their characteritic. One notable difference from generalized log-aethetic curve i that quadratic log-aethetic curve include curve with finite arc length and their curvature varing from 0 to infinit. We how that uch curve can be obtained if the quadratic coefficient γ in the logarithmic curvature graph i negative. For drawing quadratic log-aethetic curve, we need to compute the invere of the error and imaginar error function. We preent a method for computing thee invere and confirm that the curve can be generated in real time. ERROR AND IMAGINARY ERROR FUNCTIONS Thi ection briefl review the error and imaginar error function [5]. A will be hown later, we have to compute thee function a well a their invere function for drawing quadratic log-aethetic curve. Since we compute thee function uing floating point arithmetic, uch a the double preciion binar floating point arithmetic, we have to be careful about the domain of thee function. erfi( z) The error function and imaginar error function are defined a z t = e d t, 0 (.) erfi ( z) = i erf ( iz) (.) where i i the imaginar unit. Although i erfi( z) appear in the right ide of Eqn. (.), i alwa real if z i real. Figure how the error and imaginar error function. erfi z ( ) 4 4 Fig. The error and imaginar error function. erfi( z ), we have to be careful that we are computing uing the double When we compute or preciion. A z approache, approache ±. In the double preciion, if z i greater than z 5 approimatel 5.9, i become eentiall. Thu we afel aume when erf ( z ) erfi computing. When computing ( z ) erfi, we have to be careful o that ( z) i within the range of 9 z 6 erfi( z ) erfi( 6 the double preciion. We aume when computing, ince )( ) i within Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
3 3 the range of the double preciion. Thee aumption are ued a the bound for computing invere of thee function, which are necear for drawing quadratic log-aethetic curve. 3 THE FUNDAMENTAL EQUATION OF QUADRATIC LOG-AESTHETIC CURVES The equation of log-aethetic curve were derived from the linearit in logarithmic curvature graph. Similarl, the equation of quadratic log-aethetic curve are derived from quadratic curve in logarithmic curvature graph. Logarithmic curvature graph are graph whoe horizontal ai i log ( ρ d / dρ ) and vertical ai i. Here, ρ i the radiu of curvature and i the arc length. Fig. how the linear logarithmic curvature graph with it lope α =. See [,7,,4] for more detail of log-aethetic curve and logarithmic curvature graph. Quadratic log-aethetic curve are curve whoe logarithmic curvature graph are quadratic a hown in Fig. or. Quadratic curve include ellipe (including circle), parabola, and hperbola. Among them, onl parabola in the logarithmic curvature graph guarantee the monotonicit of the curvature ince other tpe of quadratic curve ma have a turn in the horizontal ai ( ). A parabola in the logarithmic curvature graph i log d ρ = γ ( ) + αlog ρ + c dρ (3.) where γ, α are quadratic and linear coefficient repectivel and c i a contant. Eqn. (3.) i the fundamental equation for quadratic log-aethetic curve. Note that Eqn. (3.) include a line if γ = 0, which mean that Eqn. (3.) i the generalization of the fundamental equation of log-aethetic curve. In comparion with log-aethetic curve, quadratic log-aethetic curve have additional parameter γ. If we modif γ near 0, we can generate curve cloe to log-aethetic curve guaranteeing the monotonicit of the curvature. If γ = 0, quadratic log-aethetic curve become eactl log-aethetic curve. d d d α =, γ = 0 α =, γ = 0.0 α =, γ = 0.0 Fig. Linear and quadratic logarithmic curvature graph 4 DERIVING THE EQUATIONS FOR QUADRATIC LOG-AESTHETIC CURVES Thi ection derive the curvature of quadratic log-aethetic curve a a function of arc length baed on Eqn. (3.). Once the curvature function i derived the curve can be drawn uing Frenet Serret formula. Uing d curvature, Eqn. (3.) can be written a log = γ ( log) αlog + d d. (4.) Eqn. (3.) and Eqn. (4.) are eentiall the ame equation. Taking the eponential of both ide of Eqn. (4.), d we get α+ γ log d = e d. (4.) Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
4 4 Let Λ= e d. The reaon that Λ i et to like thi i that the curve become a circular arc if Λ= 0 α []. Then Eqn. α + γ log (4.) become e erfi α+ γ log d γ = if γ 0 d Λ γ > Λ. (4.3) α α γ log Integrating Eqn. e (4.3) erf with repect to, we get ( ) = γ if γ < 0 γ Λ α if α 0 and γ = 0 αλ log if α = 0 and γ = 0. Λ (4.4) α α + γ log α e erfi erfi γ γ if γ > 0 γ Λ α Similarl a in [], we conider the tandard form. In the tandard form, we et = at = 0 α γ log α e erf erf. Then Eqn. (4.4) ( ) = become γ γ if γ < 0 γ Λ α if α 0 and γ = 0 αλ log if α = 0 and γ = 0. Λ (4.5 α α γe Λ+ erfi γ α+ γerfi γ e if γ > 0 ( ) Solving for, we get α α γe Λ+ erf ( ) = γ α γerf γ e if γ < 0 ( + αλ) α if α 0 and γ = 0 Λ e if α = 0 and γ = 0. (4.6) In Eqn. (4.6) and (4.7), the cae of γ = 0 are eactl the ame a the one in log-aethetic curve. If γ > 0 or γ < 0 erfi ( ) erf ( ), invere imaginar function or invere error function arie. For computing the invere of thee function, we ue a hbrid method combining the biection method and Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
5 5 the Newton method. In the region where z in Eqn. (.) or Eqn. (.) i near 0 where the Newton method i reliable, we ue the Newton method. Otherwie, the biection method i ued. In the biection method, the lower and upper bound of are -5 and 5 repectivel, and the lower and erfi( z) the upper bound of are -6 and 6 repectivel. Thee bound are derived a wa decribed in Section. if γ > 0 Since the curvature of a quadratic log-aethetic curve varie from 0 to α, we have to be careful about the bound of arc length. ma have upper and lower bound depending on γ, α α, and Λ erf. Putting = e + 0 and = into Eqn. γ (4.5), we get if 0 ( 0 γ ) = < γ Λ if α 0 and γ = 0 if α < 0 and γ = 0 αλ (4.7) if γ > 0 α α e + erf γ if γ 0 ( < ) = γ Λ if α > 0 and γ = 0 αλ if α 0 and γ = 0. (4.8) ( 0) ( ) and are the upper and lower bound of arc length, repectivel. Thee bound are necear for drawing quadratic log-aethetic curve. If ( 0) =, it mean that the arc length to the point at = 0 i infinit. Thu the inflection point doe not eit. In other word, the inflection point ( ) = i at infinit. Similarl, if, the arc length to the point at = i infinit. In ummar, the following propertie can be derived for quadratic log-aethetic curve. () The curve include an inflection point if α < 0 and γ = 0 or if γ < 0. () The curve include a point at = if α > 0 and γ = 0 or if γ < 0. (3) If γ < 0, the arc length of the curve i finite and it curvature varie from 0 to without depending on the value of α. (4) For curve with γ < 0, the arc length get longer a Λ get maller. ( ( ( ))) Propert (4) can be verified from Eqn. (4.7) and (4.8). + erf α / γ in the numerator of γ < 0 in ( 0,). Thu ( 0) Eqn. (4.7) i alwa poitive ince get larger a Λ get maller, ince the numerator of γ < 0 in Eqn. (4.7) are poitive. Similarl, ince the numerator of γ < 0 in Eqn. (4.8) are ( ) negative, get maller a Λ get maller. Thu the arc length of the curve with γ < 0, which i ( 0) ( ), get longer a Λ get maller. In the limit of Λ= 0, the arc length of the curve become infinite with it curvature being a contant. Once Eqn. (4.6) and the bound of arc length are derived, the curve can be drawn b integrating the Frenet Serret formula with an initial condition. Similarl a in [5], we et the tangent and the curve point at = 0 a [ 0 ]T and the origin, repectivel. Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
6 6 α =, γ = 0. α = 0, γ = 0.5 α =, γ = 0 α = 0, γ = 0 α =, γ = 0. α = 0, γ = 0.5 Fig. 3 α = with different γ Fig. 4 α = 0 with different γ Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
7 7 α =, γ = 0.5 α =, γ = α =, γ = 0 α = 0, γ = α =, γ = Fig. 5 α = with different γ Fig. 6 α = 3, γ = γ = with different α Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
8 8 γ = γ = 0.5 γ = 0. (d) γ = 0 (e) γ = (f) γ = 0.5 Fig. 7 α = with variou γ ( Λ= ). (g) γ = 0. Λ= 0. Λ= 0.5 Λ= (d) Λ=.5 Λ= Fig. 8 α = 0., γ =0.5 Fig. 9 α =, γ =30, Λ= 0.5 Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
9 9 5 RESULTS We have implemented the code for drawing a quadratic log-aethetic curve including it logarithmic curvature graph and curvature plot uing C++ on an Intel Core i7.ghz proceor. In our eperimental tem, the curve and it related graph are hown in real time b interactivel modifing the value of γα, and Λ. Fig. 3, 4, 5 and 6 how quadratic log-aethetic curve with variou αγ, and their logarithmic curvature graph and curvature plot. In all of Fig. 3, 4, 5 and 6, Λ i et to. In each of to of thee figure, the upper left figure i a quadratic log-aethetic curve, the upper right i the logarithmic curvature graph, and the bottom i the curvature plot. Fig 3, 4 and 5 are the curve of α =, 0,, repectivel, with variou γ. A hown in Eqn. (4.4) and (4.5), the arc length of the quadratic logaethetic curve i finite if γ < 0 with it curvature varing from 0 to infinit. Thee cae are hown in Fig. 3, 4, 5 and 6. If γ = 0, quadratic log-aethetic curve become eactl log-aethetic curve. If γ > 0, the arc length of the curve become infinite (Fig. 3, for eample). In other word, the point at = 0 and = are at infinit. Fig. 7 how how a log-aethetic curve ( α =, the Clothoid) change b modifing the quadratic coefficient γ. Fig. 8 how the curve of α = 0., γ =0.5 but with different Λ. A Λ i decreaed, the arc length of the curve get longer if γ < 0. The hape of the curve alo change if the value of Λ i changed ecept when α = []. Fig. 9 how an intereting eample of α =, γ = 30, Λ= 0.5. From the curve hape and it curvature plot, the curve get cloer to the circular arc (contant ) a get cloe to ±. Thi fact mean that G interpolation algorithm of [5] doe not work properl ince more than one curve that fit the pecified control triangle ma be found. Thu a different method i necear and we are working with thi problem. 6 CONCLUSIONS: Thi paper propoed quadratic log-aethetic curve b etending log-aethetic curve o that the logarithmic curvature graph become quadratic. We derived the curvature function in term of arc length for drawing the curve and clarified the characteritic. We have implemented the propoed curve in C++ and confirmed that the curve can be generated full in real time. Quadratic logaethetic curve have additional degree of freedom γ and can repreent a curve egment with finite arc length and the curvature varing from 0 to if γ < 0. Future work include more detail anali of the characteritic of the curve, and the application to G and G Hermite interpolation. ACKNOWLEDGEMENT: Thi work wa upported b JSPS KAKENHI Grant Number Norimaa Yohida, Takafumi Saito, RERFERENCES: [] Gobithaaan, R.U.; Miura, K.T.: Aethetic Spiral for Deign, Sain Malaiana, 40(), 0, [] Harada, T.: Stud of quantitative anali of the characteritic of a curve, FORMA, (), 997, [3] Inoue, J.; Harada T.; Hagihara, T.: An Algorithm for Generating Log-Aethetic Curved Surface and the Development of a Curved Surface Generation Stem uing VR, IASDR009 proceeding, 009. [4] Kineri, Y.; Endo, S.; Maekawa, T.: Surface deign baed on direct curvature editing, Computer-Aided Deign, 55(0), 04, -. DOI: 0.06/j.cad Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
10 0 [5] Lebedev, N. N.: Special Function & Their Application, Dover, Publication, 0. [6] Meek, D. S.; Saito, T.; Walton, D. J.; Yohida, N.: Planar two-point G Hermite interpolating logaethetic piral, Journal of Computational and Applied Mathematic, 36(7), 0, , /j.cam [7] Miura, K.T.: A General Equation of Aethetic Curve and It Self-Affinit, Computer-Aided Deign & Application, 3(-4), 006, DOI: 0.37/cadap [8] Miura, K.T.; Shirahata, R.; Agari, S.; Uuki, S.; Gobithaaan, R.U.: Variational Formulation of the Log- Aethetic Surface and Development of Dicrete Surface Filter, Computer-Aided Deign and Application, 9(6), 0, /cadap [9] Miura, K. T.; Shibua, D.; Gobithaaan, R.U.; Uuki,S.: Deigning Log-aethetic Spline with G Continuit, Computer-Aided Deign and Application, 0(6), 03, DOI: 0.37/cadap [0] Miura, K.T.; Gobithaaan, R. U.; Suzuki, S.; Uuki S.: Reformulation of Generalized Log-aethetic Curve with Bernoulli Equation, Computer-Aided Deign and Application, 05. DOI:0.080/ [] Ziatdinov, R.; Yohida, N.; Kim, T.: Analtic parametric equation of log-aethetic curve in term of incomplete gamma function, Computer Aided Geometric Deign, 9(), 0, DOI: 0.06/j.cagd [] Yohida, N.; Saito, T.: Interactive Aethetic Curve Segment, The Viual Computer (Pacific Graphic), (9-), 006, DOI:0.007/ [3] Yohida, N.; Saito, T.: Compound-Rhthm Log-Aethetic Curve, Computer-Aided Deign and Application, 6(), 009, DOI:0.37/cadap [4] Yohida, N.; Fukuda, R.; Saito, T.: Log-Aethetic Space Curve Segment, SIAM/ACM joint Conference on Geometric and Phical Modeling, 009, DOI: 0.45/ [5] Yohida, N.; Fukuda, R.; Saito, T.: Logarithmic curvature and torion graph,, in Mathematical Method for Curve and Surface 008 edited b Daehlen et al., LNCS 586, Springer, 00, DOI: 0.007/ _8 [6] Yohida, N.; Saito, T.: The Evolute of Log-Aethetic Curve and The Drawable Boundarie of the Curve Segment, Computer-Aided Deign and Application, 9(5), 7-73, 0. DOI:0.37/cadap [7] Yohida, N.; Fukuda, R.; Saito, T.; and Saito, T.: Quai-Log-Aethetic Curve in Polnomial Bézier Form, Computer-Aided Deign and Application, 0(6), , 03. DOI: 0.37/cadap Computer-Aided Deign & Application, 4(), 07, CAD Solution, LLC,
An Interesting Property of Hyperbolic Paraboloids
Page v w Conider the generic hyperbolic paraboloid defined by the equation. u = where a and b are aumed a b poitive. For our purpoe u, v and w are a permutation of x, y, and z. A typical graph of uch a
More informationHELICAL TUBES TOUCHING ONE ANOTHER OR THEMSELVES
15 TH INTERNATIONAL CONFERENCE ON GEOMETRY AND GRAPHICS 0 ISGG 1-5 AUGUST, 0, MONTREAL, CANADA HELICAL TUBES TOUCHING ONE ANOTHER OR THEMSELVES Peter MAYRHOFER and Dominic WALTER The Univerity of Innbruck,
More informationSee exam 1 and exam 2 study guides for previous materials covered in exam 1 and 2. Stress transformation. Positive τ xy : τ xy
ME33: Mechanic of Material Final Eam Stud Guide 1 See eam 1 and eam tud guide for previou material covered in eam 1 and. Stre tranformation In ummar, the tre tranformation equation are: + ' + co θ + in
More informationPosition. If the particle is at point (x, y, z) on the curved path s shown in Fig a,then its location is defined by the position vector
34 C HAPTER 1 KINEMATICS OF A PARTICLE 1 1.5 Curvilinear Motion: Rectangular Component Occaionall the motion of a particle can bet be decribed along a path that can be epreed in term of it,, coordinate.
More informationRoot Locus Diagram. Root loci: The portion of root locus when k assume positive values: that is 0
Objective Root Locu Diagram Upon completion of thi chapter you will be able to: Plot the Root Locu for a given Tranfer Function by varying gain of the ytem, Analye the tability of the ytem from the root
More informationSocial Studies 201 Notes for March 18, 2005
1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationLTV System Modelling
Helinki Univerit of Technolog S-72.333 Potgraduate Coure in Radiocommunication Fall 2000 LTV Stem Modelling Heikki Lorentz Sonera Entrum O heikki.lorentz@onera.fi Januar 23 rd 200 Content. Introduction
More informationNumerical algorithm for the analysis of linear and nonlinear microstructure fibres
Numerical algorithm for the anali of linear and nonlinear microtructure fibre Mariuz Zdanowicz *, Marian Marciniak, Marek Jaworki, Igor A. Goncharenko National Intitute of Telecommunication, Department
More informationSocial Studies 201 Notes for November 14, 2003
1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the
More informationCHAPTER TWO: THE GEOMETRY OF CURVES
CHAPTER TWO: THE GEOMETRY OF CURVES Thi material i for June 7, 8 (Tueday to Wed.) 2.1 Parametrized Curve Definition. A parametrized curve i a map α : I R n (n = 2 or 3), where I i an interval in R. We
More informationChapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog
Chapter Sampling and Quantization.1 Analog and Digital Signal In order to invetigate ampling and quantization, the difference between analog and digital ignal mut be undertood. Analog ignal conit of continuou
More informationMath 273 Solutions to Review Problems for Exam 1
Math 7 Solution to Review Problem for Exam True or Fale? Circle ONE anwer for each Hint: For effective tudy, explain why if true and give a counterexample if fale (a) T or F : If a b and b c, then a c
More informationEfficiency Analysis of a Multisectoral Economic System
Efficienc Anali of a Multiectoral Economic Stem Mikuláš uptáčik Vienna Univerit of Economic and Buine Vienna, Autria Bernhard Böhm Vienna Univerit of Technolog Vienna,Autria Paper prepared for the 7 th
More informationPlanar interpolation with a pair of rational spirals T. N. T. Goodman 1 and D. S. Meek 2
Planar interpolation with a pair of rational spirals T N T Goodman and D S Meek Abstract Spirals are curves of one-signed monotone increasing or decreasing curvature Spiral segments are fair curves with
More informationNotes on the geometry of curves, Math 210 John Wood
Baic definition Note on the geometry of curve, Math 0 John Wood Let f(t be a vector-valued function of a calar We indicate thi by writing f : R R 3 and think of f(t a the poition in pace of a particle
More informationBernoulli s equation may be developed as a special form of the momentum or energy equation.
BERNOULLI S EQUATION Bernoulli equation may be developed a a pecial form of the momentum or energy equation. Here, we will develop it a pecial cae of momentum equation. Conider a teady incompreible flow
More informationCHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL
98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i
More informationFair Game Review. Chapter 7 A B C D E Name Date. Complete the number sentence with <, >, or =
Name Date Chapter 7 Fair Game Review Complete the number entence with , or =. 1. 3.4 3.45 2. 6.01 6.1 3. 3.50 3.5 4. 0.84 0.91 Find three decimal that make the number entence true. 5. 5.2 6. 2.65 >
More informationIf Y is normally Distributed, then and 2 Y Y 10. σ σ
ull Hypothei Significance Teting V. APS 50 Lecture ote. B. Dudek. ot for General Ditribution. Cla Member Uage Only. Chi-Square and F-Ditribution, and Diperion Tet Recall from Chapter 4 material on: ( )
More informationSTUDY KNOWHOW PROGRAM STUDY AND LEARNING CENTRE. Functions & Graphs
STUDY KNOWHOW PROGRAM STUDY AND LEARNING CENTRE Functions & Graphs Contents Functions and Relations... 1 Interval Notation... 3 Graphs: Linear Functions... 5 Lines and Gradients... 7 Graphs: Quadratic
More informationTransfer Function Approach to the Model Matching Problem of Nonlinear Systems
Tranfer Function Approach to the Model Matching Problem of Nonlinear Stem Mirolav Halá Ülle Kotta Claude H. Moog Intitute of Control and Indutrial Informatic, Fac. of Electrical Engineering and IT, Slovak
More informationAnswer Explanations. The SAT Subject Tests. Mathematics Level 1 & 2 TO PRACTICE QUESTIONS FROM THE SAT SUBJECT TESTS STUDENT GUIDE
The SAT Subject Tests Answer Eplanations TO PRACTICE QUESTIONS FROM THE SAT SUBJECT TESTS STUDENT GUIDE Mathematics Level & Visit sat.org/stpractice to get more practice and stud tips for the Subject Test
More informationHOMEWORK ASSIGNMENT #2
Texa A&M Univerity Electrical Engineering Department ELEN Integrated Active Filter Deign Methodologie Alberto Valde-Garcia TAMU ID# 000 17 September 0, 001 HOMEWORK ASSIGNMENT # PROBLEM 1 Obtain at leat
More informationNew bounds for Morse clusters
New bound for More cluter Tamá Vinkó Advanced Concept Team, European Space Agency, ESTEC Keplerlaan 1, 2201 AZ Noordwijk, The Netherland Tama.Vinko@ea.int and Arnold Neumaier Fakultät für Mathematik, Univerität
More informationSIMPLIFIED SHAKING TABLE TEST METHODOLOGY USING EXTREMELY SMALL SCALED MODELS
13 th World Conference on Earthquake Engineering Vancouver,.C., Canada Augut 1-6, 2004 Paper No. 662 SIMPLIFIED SHAKING TALE TEST METHODOLOGY USING EXTREMELY SMALL SCALED MODELS Noriko TOKUI 1, Yuki SAKAI
More informationNULL HELIX AND k-type NULL SLANT HELICES IN E 4 1
REVISTA DE LA UNIÓN MATEMÁTICA ARGENTINA Vol. 57, No. 1, 2016, Page 71 83 Publihed online: March 3, 2016 NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 JINHUA QIAN AND YOUNG HO KIM Abtract. We tudy
More informationHybrid Control and Switched Systems. Lecture #6 Reachability
Hbrid Control and Switched Stem Lecture #6 Reachabilit João P. Hepanha Univerit of California at Santa Barbara Summar Review of previou lecture Reachabilit tranition tem reachabilit algorithm backward
More informationAppendix: Trigonometry Basics
HM LaTorre APP pg NO_ANNO 8/5/0 :6 AM Page 78 Appendi: Trigonmetr Baic 78 Appendi: Trigonometr Baic Thi Appendi give upplementar material on degree meaure and right triangle trigonometr. It can be ued
More informationTHE DIVERGENCE-FREE JACOBIAN CONJECTURE IN DIMENSION TWO
THE DIVERGENCE-FREE JACOBIAN CONJECTURE IN DIMENSION TWO J. W. NEUBERGER Abtract. A pecial cae, called the divergence-free cae, of the Jacobian Conjecture in dimenion two i proved. Thi note outline an
More informationBehavior Factor of Flat double-layer Space Structures Behnam Shirkhanghah, Vahid Shahbaznejhad-Fard, Houshyar Eimani-Kalesar, Babak Pahlevan
Abtract Flat double-laer grid i from categor of pace tructure that are formed from two flat laer connected together with diagonal member. Increaed tiffne and better eimic reitance in relation to other
More informationUNCORRECTED. To recognise the rules of a number of common algebraic relations: y = x 1 y 2 = x
5A galler of graphs Objectives To recognise the rules of a number of common algebraic relations: = = = (rectangular hperbola) + = (circle). To be able to sketch the graphs of these relations. To be able
More informationAdder Circuits Ivor Page 1
Adder Circuit Adder Circuit Ivor Page 4. The Ripple Carr Adder The ripple carr adder i probabl the implet parallel binar adder. It i made up of k full-adder tage, where each full-adder can be convenientl
More informationRaneNote BESSEL FILTER CROSSOVER
RaneNote BESSEL FILTER CROSSOVER A Beel Filter Croover, and It Relation to Other Croover Beel Function Phae Shift Group Delay Beel, 3dB Down Introduction One of the way that a croover may be contructed
More informationLecture 10 Filtering: Applied Concepts
Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering
More informationZ a>2 s 1n = X L - m. X L = m + Z a>2 s 1n X L = The decision rule for this one-tail test is
M09_BERE8380_12_OM_C09.QD 2/21/11 3:44 PM Page 1 9.6 The Power of a Tet 9.6 The Power of a Tet 1 Section 9.1 defined Type I and Type II error and their aociated rik. Recall that a repreent the probability
More informationMAE 101A. Homework 3 Solutions 2/5/2018
MAE 101A Homework 3 Solution /5/018 Munon 3.6: What preure gradient along the treamline, /d, i required to accelerate water upward in a vertical pipe at a rate of 30 ft/? What i the anwer if the flow i
More informationSource slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis
Source lideplayer.com/fundamental of Analytical Chemitry, F.J. Holler, S.R.Crouch Chapter 6: Random Error in Chemical Analyi Random error are preent in every meaurement no matter how careful the experimenter.
More informationA Class of Linearly Implicit Numerical Methods for Solving Stiff Ordinary Differential Equations
The Open Numerical Method Journal, 2010, 2, 1-5 1 Open Acce A Cla o Linearl Implicit Numerical Method or Solving Sti Ordinar Dierential Equation S.S. Filippov * and A.V. Tglian Keldh Intitute o Applied
More informationFair Game Review. Chapter 6. Evaluate the expression. 3. ( ) 7. Find ± Find Find Find the side length s of the square.
Name Date Chapter 6 Evaluate the epreion. Fair Game Review 1. 5 1 6 3 + 8. 18 9 + 0 5 3 3 1 + +. 9 + 7( 8) + 5 0 + ( 6 8) 1 3 3 3. ( ) 5. Find 81. 6. Find 5. 7. Find ± 16. 8. Find the ide length of the
More informationRELATIONS AND FUNCTIONS through
RELATIONS AND FUNCTIONS 11.1.2 through 11.1. Relations and Functions establish a correspondence between the input values (usuall ) and the output values (usuall ) according to the particular relation or
More informationLecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank.
Lecture Note II Example 6 Continuou Stirred-Tank Reactor (CSTR) Chemical reactor together with ma tranfer procee contitute an important part of chemical technologie. From a control point of view, reactor
More informationCONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is
CONTROL SYSTEMS Chapter 5 : Root Locu Diagram GATE Objective & Numerical Type Solution Quetion 1 [Work Book] [GATE EC 199 IISc-Bangalore : Mark] The tranfer function of a cloed loop ytem i T () where i
More informationDetermination of the local contrast of interference fringe patterns using continuous wavelet transform
Determination of the local contrat of interference fringe pattern uing continuou wavelet tranform Jong Kwang Hyok, Kim Chol Su Intitute of Optic, Department of Phyic, Kim Il Sung Univerity, Pyongyang,
More information(6, 4, 0) = (3, 2, 0). Find the equation of the sphere that has the line segment from P to Q as a diameter.
Solutions Review for Eam #1 Math 1260 1. Consider the points P = (2, 5, 1) and Q = (4, 1, 1). (a) Find the distance from P to Q. Solution. dist(p, Q) = (4 2) 2 + (1 + 5) 2 + (1 + 1) 2 = 4 + 36 + 4 = 44
More informationDetermination of Flow Resistance Coefficients Due to Shrubs and Woody Vegetation
ERDC/CL CETN-VIII-3 December 000 Determination of Flow Reitance Coefficient Due to hrub and Woody Vegetation by Ronald R. Copeland PURPOE: The purpoe of thi Technical Note i to tranmit reult of an experimental
More informationTHE PARAMETERIZATION OF ALL TWO-DEGREES-OF-FREEDOM SEMISTRONGLY STABILIZING CONTROLLERS. Tatsuya Hoshikawa, Kou Yamada and Yuko Tatsumi
International Journal of Innovative Computing, Information Control ICIC International c 206 ISSN 349-498 Volume 2, Number 2, April 206 pp. 357 370 THE PARAMETERIZATION OF ALL TWO-DEGREES-OF-FREEDOM SEMISTRONGLY
More informationThe Power-Oriented Graphs Modeling Technique
Capitolo 0. INTRODUCTION 3. The Power-Oriented Graph Modeling Technique Complex phical tem can alwa be decompoed in baic phical element which interact with each other b mean of energetic port, and power
More informationControl Systems Analysis and Design by the Root-Locus Method
6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If
More informationCHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS
CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3
More informationin a circular cylindrical cavity K. Kakazu Department of Physics, University of the Ryukyus, Okinawa , Japan Y. S. Kim
Quantization of electromagnetic eld in a circular cylindrical cavity K. Kakazu Department of Phyic, Univerity of the Ryukyu, Okinawa 903-0, Japan Y. S. Kim Department of Phyic, Univerity of Maryland, College
More informationA FUNCTIONAL BAYESIAN METHOD FOR THE SOLUTION OF INVERSE PROBLEMS WITH SPATIO-TEMPORAL PARAMETERS AUTHORS: CORRESPONDENCE: ABSTRACT
A FUNCTIONAL BAYESIAN METHOD FOR THE SOLUTION OF INVERSE PROBLEMS WITH SPATIO-TEMPORAL PARAMETERS AUTHORS: Zenon Medina-Cetina International Centre for Geohazard / Norwegian Geotechnical Intitute Roger
More informationSpacelike Salkowski and anti-salkowski Curves With a Spacelike Principal Normal in Minkowski 3-Space
Int. J. Open Problem Compt. Math., Vol., No. 3, September 009 ISSN 998-66; Copyright c ICSRS Publication, 009 www.i-cr.org Spacelike Salkowki and anti-salkowki Curve With a Spacelike Principal Normal in
More informationDigital Control System
Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital
More informationCumulative Review of Calculus
Cumulative Review of Calculu. Uing the limit definition of the lope of a tangent, determine the lope of the tangent to each curve at the given point. a. f 5,, 5 f,, f, f 5,,,. The poition, in metre, of
More informationV = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr
0.1 Related Rate In many phyical ituation we have a relationhip between multiple quantitie, and we know the rate at which one of the quantitie i changing. Oftentime we can ue thi relationhip a a convenient
More informationEC381/MN308 Probability and Some Statistics. Lecture 7 - Outline. Chapter Cumulative Distribution Function (CDF) Continuous Random Variables
EC38/MN38 Probability and Some Statitic Yanni Pachalidi yannip@bu.edu, http://ionia.bu.edu/ Lecture 7 - Outline. Continuou Random Variable Dept. of Manufacturing Engineering Dept. of Electrical and Computer
More informationG 2 Curve Design with Generalised Cornu Spiral
Menemui Matematik (Discovering Mathematics) Vol. 33, No. 1: 43 48 (11) G Curve Design with Generalised Cornu Spiral 1 Chan Chiu Ling, Jamaludin Md Ali School of Mathematical Science, Universiti Sains Malaysia,
More informationTHEORETICAL CONSIDERATIONS AT CYLINDRICAL DRAWING AND FLANGING OUTSIDE OF EDGE ON THE DEFORMATION STATES
THEOETICAL CONSIDEATIONS AT CYLINDICAL DAWING AND FLANGING OUTSIDE OF EDGE ON THE DEFOMATION STATES Lucian V. Severin 1, Dorin Grădinaru, Traian Lucian Severin 3 1,,3 Stefan cel Mare Univerity of Suceava,
More informationDynamical Behavior Analysis and Control of a Fractional-order Discretized Tumor Model
6 International Conference on Information Engineering and Communication Technolog (IECT 6) ISBN: 978--6595-375-5 Dnamical Behavior Anali and Control of a Fractional-order Dicretied Tumor Model Yaling Zhang,a,
More informationChapter 4: Applications of Fourier Representations. Chih-Wei Liu
Chapter 4: Application of Fourier Repreentation Chih-Wei Liu Outline Introduction Fourier ranform of Periodic Signal Convolution/Multiplication with Non-Periodic Signal Fourier ranform of Dicrete-ime Signal
More informationBio 112 Lecture Notes; Scientific Method
Bio Lecture ote; Scientific Method What Scientit Do: Scientit collect data and develop theorie, model, and law about how nature work. Science earche for natural caue to eplain natural phenomenon Purpoe
More informationFeasible set in a discrete epidemic model
Journal of Phic: Conference Serie Feaible et in a dicrete epidemic model To cite thi article: E-G Gu 008 J. Ph.: Conf. Ser. 96 05 View the article online for update and enhancement. Related content - Phic
More informationPikeville Independent Schools [ALGEBRA 1 CURRICULUM MAP ]
Pikeville Independent School [ALGEBRA 1 CURRICULUM MAP 20162017] Augut X X X 11 12 15 16 17 18 19 22 23 24 25 26 12 37 8 12 29 30 31 13 15 September 1 2 X 6 7 8 9 16 17 18 21 PreAlgebra Review Algebra
More informationChapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem
Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,
More information[Saxena, 2(9): September, 2013] ISSN: Impact Factor: INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
[Saena, (9): September, 0] ISSN: 77-9655 Impact Factor:.85 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Contant Stre Accelerated Life Teting Uing Rayleigh Geometric Proce
More informationCopyright 1967, by the author(s). All rights reserved.
Copyright 1967, by the author(). All right reerved. Permiion to make digital or hard copie of all or part of thi work for peronal or claroom ue i granted without fee provided that copie are not made or
More informationMath Review Packet #5 Algebra II (Part 2) Notes
SCIE 0, Spring 0 Miller Math Review Packet #5 Algebra II (Part ) Notes Quadratic Functions (cont.) So far, we have onl looked at quadratic functions in which the term is squared. A more general form of
More informationMAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function
MAT 275: Introduction to Mathematical Analsis Dr. A. Rozenblum Graphs and Simplest Equations for Basic Trigonometric Functions We consider here three basic functions: sine, cosine and tangent. For them,
More information1.1. Curves Curves
1.1. Curve 1 1.1 Curve Note. The hitorical note in thi ection are baed on Morri Kline Mathematical Thought From Ancient to Modern Time, Volume 2, Oxford Univerity Pre (1972, Analytic and Differential Geometry
More informationAlternate Dispersion Measures in Replicated Factorial Experiments
Alternate Diperion Meaure in Replicated Factorial Experiment Neal A. Mackertich The Raytheon Company, Sudbury MA 02421 Jame C. Benneyan Northeatern Univerity, Boton MA 02115 Peter D. Krau The Raytheon
More informationA Brief Survey of Aesthetic Curves
Budapest University of Technology and Economics Shizuoka University July 29, 2016 Introduction Outline Introduction Motivation Classic aesthetic curves Source: Edson International. Source: William Sutherland,
More informationON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang
Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang
More informationRepresentation Formulas of Curves in a Two- and Three-Dimensional Lightlike Cone
Reult. Math. 59 (011), 437 451 c 011 Springer Bael AG 14-6383/11/030437-15 publihed online April, 011 DOI 10.1007/0005-011-0108-y Reult in Mathematic Repreentation Formula of Curve in a Two- and Three-Dimenional
More informationCHAPTER 6. Estimation
CHAPTER 6 Etimation Definition. Statitical inference i the procedure by which we reach a concluion about a population on the bai of information contained in a ample drawn from that population. Definition.
More informationVisibility Problems in Crest Vertical Curves
Viibility Problem in Cret Vertical Curve M. LIVNEH, J. PRASHKER, and J. UZAN, echnion, Irael Intitute of echnology he length of a cret vertical curve i governed by viibility conideration. he minimum length
More informationJan Purczyński, Kamila Bednarz-Okrzyńska Estimation of the shape parameter of GED distribution for a small sample size
Jan Purczyńki, Kamila Bednarz-Okrzyńka Etimation of the hape parameter of GED ditribution for a mall ample ize Folia Oeconomica Stetinenia 4()/, 35-46 04 Folia Oeconomica Stetinenia DOI: 0.478/foli-04-003
More informationON THE SMOOTHNESS OF SOLUTIONS TO A SPECIAL NEUMANN PROBLEM ON NONSMOOTH DOMAINS
Journal of Pure and Applied Mathematic: Advance and Application Volume, umber, 4, Page -35 O THE SMOOTHESS OF SOLUTIOS TO A SPECIAL EUMA PROBLEM O OSMOOTH DOMAIS ADREAS EUBAUER Indutrial Mathematic Intitute
More informationSuggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall
Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall
More informationPolynomial approximation and Splines
Polnomial approimation and Splines 1. Weierstrass approimation theorem The basic question we ll look at toda is how to approimate a complicated function f() with a simpler function P () f() P () for eample,
More informationSampling and the Discrete Fourier Transform
Sampling and the Dicrete Fourier Tranform Sampling Method Sampling i mot commonly done with two device, the ample-and-hold (S/H) and the analog-to-digital-converter (ADC) The S/H acquire a CT ignal at
More informationOn the convexity of the function C f(det C) on positive-definite matrices
Article On the convexit of the function C fdet C) on poitive-definite matrice Mathematic and Mechanic of Solid 2014, Vol 194) 369 375 The Author) 2013 Reprint and permiion: agepubcouk/journalpermiionnav
More informationA THIN-WALLED COMPOSITE BEAM ELEMENT FOR OPEN AND CLOSED SECTIONS
6 TH INTERNATIONAL CONFERENCE ON COMPOSITE MATERIALS A THIN-WALLED COMPOSITE BEAM ELEMENT FOR OPEN AND CLOSED SECTIONS A. H. Sheikh, O. T. Thomen Department of Mechanical Engineering, Aalborg Univerit,
More informationContents. About the Author. Preface to the Instructor. xxi. Acknowledgments. xxiii. Preface to the Student
About the Author v Preface to the Instructor v Acknowledgments i Preface to the Student iii Chapter 0 The Real Numbers 1 0.1 The Real Line 2 Construction of the Real Line 2 Is Ever Real Number Rational?
More informationA Simplified Methodology for the Synthesis of Adaptive Flight Control Systems
A Simplified Methodology for the Synthei of Adaptive Flight Control Sytem J.ROUSHANIAN, F.NADJAFI Department of Mechanical Engineering KNT Univerity of Technology 3Mirdamad St. Tehran IRAN Abtract- A implified
More informationTHE RATIO OF DISPLACEMENT AMPLIFICATION FACTOR TO FORCE REDUCTION FACTOR
3 th World Conference on Earthquake Engineering Vancouver, B.C., Canada Augut -6, 4 Paper No. 97 THE RATIO OF DISPLACEMENT AMPLIFICATION FACTOR TO FORCE REDUCTION FACTOR Mua MAHMOUDI SUMMARY For Seimic
More informationHSC PHYSICS ONLINE KINEMATICS EXPERIMENT
HSC PHYSICS ONLINE KINEMATICS EXPERIMENT RECTILINEAR MOTION WITH UNIFORM ACCELERATION Ball rolling down a ramp Aim To perform an experiment and do a detailed analyi of the numerical reult for the rectilinear
More information4-4 E-field Calculations using Coulomb s Law
1/21/24 ection 4_4 -field calculation uing Coulomb Law blank.doc 1/1 4-4 -field Calculation uing Coulomb Law Reading Aignment: pp. 9-98 1. xample: The Uniform, Infinite Line Charge 2. xample: The Uniform
More informationPreemptive scheduling on a small number of hierarchical machines
Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,
More informationWeek 3 Statistics for bioinformatics and escience
Week 3 Statitic for bioinformatic and escience Line Skotte 28. november 2008 2.9.3-4) In thi eercie we conider microrna data from Human and Moue. The data et repreent 685 independent realiation of the
More informationProgram Equivalence in Linear Contexts
Program Equivalence in Linear Context Yuxin Deng 1, Department of Computer Science and Engineering, Shanghai Jiao Tong Univerit, China Yu Zhang 2 State Ke Laborator of Computer Science Intitute of Software,
More informationEfficient Methods of Doppler Processing for Coexisting Land and Weather Clutter
Efficient Method of Doppler Proceing for Coexiting Land and Weather Clutter Ça gatay Candan and A Özgür Yılmaz Middle Eat Technical Univerity METU) Ankara, Turkey ccandan@metuedutr, aoyilmaz@metuedutr
More informationGain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays
Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,
More information303b Reducing the impact (Accelerometer & Light gate)
Senor: Logger: Accelerometer High g, Light gate Any EASYSENSE capable of fat logging Science in Sport Logging time: 1 econd 303b Reducing the impact (Accelerometer & Light gate) Read In many porting activitie
More informationAlgebra/Pre-calc Review
Algebra/Pre-calc Review The following pages contain various algebra and pre-calculus topics that are used in the stud of calculus. These pages were designed so that students can refresh their knowledge
More informationMCB4UW Handout 4.11 Related Rates of Change
MCB4UW Handout 4. Related Rate of Change. Water flow into a rectangular pool whoe dimenion are m long, 8 m wide, and 0 m deep. If water i entering the pool at the rate of cubic metre per econd (hint: thi
More informationCHAPTER 3 LITERATURE REVIEW ON LIQUEFACTION ANALYSIS OF GROUND REINFORCEMENT SYSTEM
CHAPTER 3 LITERATURE REVIEW ON LIQUEFACTION ANALYSIS OF GROUND REINFORCEMENT SYSTEM 3.1 The Simplified Procedure for Liquefaction Evaluation The Simplified Procedure wa firt propoed by Seed and Idri (1971).
More informationModule 3, Section 4 Analytic Geometry II
Principles of Mathematics 11 Section, Introduction 01 Introduction, Section Analtic Geometr II As the lesson titles show, this section etends what ou have learned about Analtic Geometr to several related
More informationNonlinear Single-Particle Dynamics in High Energy Accelerators
Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction
More informationDomain Optimization Analysis in Linear Elastic Problems * (Approach Using Traction Method)
Domain Optimization Analyi in Linear Elatic Problem * (Approach Uing Traction Method) Hideyuki AZEGAMI * and Zhi Chang WU *2 We preent a numerical analyi and reult uing the traction method for optimizing
More informationINTEGRAL CHARACTERIZATIONS FOR TIMELIKE AND SPACELIKE CURVES ON THE LORENTZIAN SPHERE S *
Iranian Journal of Science & echnology ranaction A Vol No A Printed in he Ilamic epublic of Iran 8 Shiraz Univerity INEGAL CHAACEIZAIONS FO IMELIKE AND SPACELIKE CUVES ON HE LOENZIAN SPHEE S * M KAZAZ
More information