Implicit and Parametric Surfaces
|
|
- August Manning
- 7 years ago
- Views:
Transcription
1 Chater 12 Imlicit and Parametric Srfaces In this chater we will look at the two ways of mathematically secifying a geometric object. Yo are robably already familiar with two ways of reresenting a shere of radis r and center at the origin. The first is the imlicit form x 2 + y 2 + z 2 = r 2 or x 2 + y 2 + z 2 r 2 = 0. (12.1) The second is the arametric form exressed in sherical coordinates x = r sin φ cos θ, y = r cos φ, z = r sin φ sin θ, y N x where 0 θ 2π is an angle arameter for longitde measred from the ositive x axis as a ositive rotation abot the y axis, and 0 φ π is an angle arameter for latitde measred from the negative y axis as a ositive rotation abot the z axis. z S x 75
2 76 CHAPTER 12. IMPLICIT AND PARAMETRIC SURFACES 12.1 Imlicit reresentations of srfaces An imlicit reresentation takes the form F (x) = 0 (for examle x 2 + y 2 + z 2 r 2 = 0), where x is a oint on the srface imlicitly described by the fnction F. In other words, oint x is on the srface if and only if the relationshi F (x) = 0 holds for x. With this reresentation, we can easily test a given oint x to see if it is on the srface, simly by checking the vale of F (x). However, if yo examine this reresentation, yo will see that there is no direct way that we can systematically generate consective oints on the srface. This is why the reresentation is called imlicit; it rovides a test for determining whether or not a oint is on the srface, bt does not give any exlicit rles for generating sch oints. Usally, an imlicit reresentation is constrcted so that it has the roerty that F (x) > 0, if x is above the srface, F (x) = 0, if x is exactly on the srface, F (x) < 0, if x is below the srface. For examle, this roerty holds for the shere given by Eqation Rewriting this eqation in vector form we have x 2 r 2 = 0 (where x 2 = x x = x 2 + y 2 + z 2 ). Yo can see that when x > r, then x 2 r 2 > 0, indicating that the oint is otside the shere. Likewise, when x < r, then x 2 r 2 < 0, indicating that the oint is inside the shere. Ths, an imlicit reresentation allows for a qick and easy inside-otside (or above-below) test. Imlicit reresentations are also ideal for raytracing. Given a ray exressed as a starting oint and a direction vector, all oints on the ray can be exressed in arametric form as x(t) = + t, where t is the ray arameter, measring distance along the ray. Inserting this arametric ray eqation into the imlicit reresentation gives F [x(t)] = 0, which can often be conveniently solved for t. We have seen this for ray-lane intersection. The imlicit eqation for a lane is ax + by + cz + d = 0,
3 12.2. PARAMETRIC REPRESENTATIONS OF SURFACES 77 or letting n = a b / a 2 + b 2 + c 2, and e = d/ a 2 + b 2 + c 2, in vector form c we have n x+e = 0. Inserting the ray eqation for x, we have n (+t)+e = 0 and solving for t, we have t = e + n n, which is the distance, along the ray, of the ray-lane intersection. Similarly for the shere, we have the imlicit form Inserting the ray eqation for x gives or x 2 r 2 = 0. ( + t) 2 r 2 = 0, t t + 2 r 2 = 0. Since is a nit vector, 2 = 1, and this redces to t 2 + 2t + 2 r 2 = 0, which by the qadratic formla has soltions t = ± ( ) r 2. d<0 r If the discriminant d = ( ) r 2 < 0 we have no real soltions and the ray misses the shere. If d = 0 we have one soltion t =, so the ray mst be exactly tangent to the shere, and if d > 0 we have two soltions, one where the ray enters the shere and the other where it leaves the shere. The figre to the right shows the cases. d=0 d>0 r r So, an imlicit reresentation can work very well in a raytracer Parametric reresentations of srfaces A arametric srface reresentation has other attribtes that make it sefl in grahics. This reresentation, seaking generally, can be written x = F (, v), where and v are srface arameters, and x is a oint on the srface. The arameters are often chosen so that on the srface being described, 0, v 1. For examle, in the arametric reresentation of the shere introdced at the beginning of this chater, we can normalize the two angle arameters, letting = θ/2π, and v = φ/π.
4 78 CHAPTER 12. IMPLICIT AND PARAMETRIC SURFACES Unlike an imlicit reresentation of a srface, a arametric reresentation allows s to directly generate oints on the srface. All that is reqired is to choose vales of the arameters and v and then x(, v) = F (, v). If this is done in a systematic way over the range of ossible and v vales, it is ossible to generate a set of oints samling the entire srface. However, a arametric srface is difficlt to raytrace, since there is no direct way to take an arbitrary oint in sace and test to see if it is on the srface. Becase a arametric reresentation allows s to systematically generate oints on a srface, it is the ideal form if we want to be able to generate a olygonal srface aroximating the mathematical srface. This is exactly what we want in alications tilizing grahics hardware and grahics APIs like OenGL and DirectX to render a scene. These reqire a olygonal reresentation of the geometry, since their architectre is designed to efficiently rocess triangles. Prodcing a olygonal srface simly reqires iterating over the range of the two arameters and v, as in the sdocode below, which shows how to generate all of a model s vertices for a chosen resoltion: m = nmber of stes in v; n = nmber of stes in ; v = 1.0 / m; = 1.0 / n; for(i = 0; i < m; i++){ v = i * v; for(j = 0; j < n; j++){ = j * ; x = F(, v); insertvertex(x); In the sedocode, the call to insertvertex(x) adds vertex x to a table of vertices for the model. A similar loo cold then be sed to generate all of the olygonal faces from the vertices. For examle, let s consider the arametric reresentation of the shere. The figre to the right shows how we might generate olygons to tile a shere. The tiling has trianglar faces at the oles, bt qadrilateral faces away from the oles. All of the triangles at one ole share a common vertex. Ths, the code to generate a shere, inclding srface normals and textre coordinates at a vertex might be as follows: shere: m = 4, n = 6, = 1/6, v = 1/4
5 12.2. PARAMETRIC REPRESENTATIONS OF SURFACES 79 v = 1.0 / m; = 1.0 / n; // create all of the vertices insertvertex((0, r, 0)); // soth ole, vertex 0 insertvertex((0, r, 0)); // north ole, vertex 1 for(i = 1; i < m - 1; i++){ // iterate over latitdes v = i * v; φ = πv; for(j = 0; j < n; j++){ // iterate over longitdes = j * ; θ = 2π; r sin φ cos θ x = r cos φ ; r sin φ sin θ insertvertex(x); // vertex i n * j insertnormal(normalize(x)); inserttexcoords(, v); // create trianglar faces at the two oles for(j = 0; j < n - 1; j++){ insertface(3, 0, j+3, j+2); insertface(3, 1, (m-2)*n + j+2, (m-2)*n+j+3); // create qadrilateral faces for(i = 1; i < m - 2; i++) for(j = 0; j < n - 1; j++) insertface(4, (i-1)*n+j+2, (i-1)*n+j+3, i*n+j+3, i*n+j+2); Note, that in the above we are sing the convention that the call insertface( nmber of vertices in face, list of vertex indices) adds a list of vertex indices to a table of faces describing the shere. Ths, we see that a arametric reresentation is ideal if one wants to create an aroximating olygonal model from a srface. Another advantage of a arametric srface, is that since the srface is exlicitly arameterized, for every oint on the srface, we have arametric coordinates (, v) = F 1 (x), so if the inverse of F is easily comtable, we have a air of arameters for each srface oint that can be sed to index a textre ma for coloring the srface. For examle for or arametric shere examle, and so that z x r sin φ sin θ = = tan θ, r sin φ cos θ y = cos φ, r θ = tan 1 z x, φ = cos 1 y r,
6 80 CHAPTER 12. IMPLICIT AND PARAMETRIC SURFACES and = 1 z tan 1 2π x, v = 1 y π cos 1 r. In ractice, we often have and v available at the time when we generate a olygonal srface, so we do not actally need to know the inverse fnction, since we can jst store the (, v) coordinates of a oint in a data strctre along with the osition of the oint. So, a arametric reresentation can work very well when textre maing is being sed Imlicit and arametric lane reresentations Or imlicit definition of a lane, in vector form, is given by n x n 0 = 0, where n is the nit srface normal of the lane and 0 is any oint known to be on the lane. In this case, the ray intersection with the lane is given by n t = ( 0 ) n n for ray x = + t. 0 We can also create a arametric reresentation of the lane and se this to tile the lane with olygons. What we need to do this is to create a coordinate frame on the lane. Ths, we need two non-arallel vectors we will call a and a v and a oint 0, on the lane, that will serve as the origin. If a and a v are orthogonal nit vectors, we have an orthogonal coordinate system on the lane. If we then aly some distance measre, for examle w =width in the a direction and h = height in the a v direction, any oint x on the lane is given by 0 a av x = 0 + wa + hva v. Now, if and v are made to vary from 0 to 1 in a nested loo, we can generate a set of qadrilaterals forming a rectangle of width w and height h on the lane. These qadrilaterals can be easily sbdivided to create triangles if we need them.
CHAPTER ONE VECTOR GEOMETRY
CHAPTER ONE VECTOR GEOMETRY. INTRODUCTION In this chapter ectors are first introdced as geometric objects, namely as directed line segments, or arrows. The operations of addition, sbtraction, and mltiplication
More informationThe Dot Product. Properties of the Dot Product If u and v are vectors and a is a real number, then the following are true:
00 000 00 0 000 000 0 The Dot Prodct Tesday, 2// Section 8.5, Page 67 Definition of the Dot Prodct The dot prodct is often sed in calcls and physics. Gien two ectors = and = , then their
More informationChapter 14. Three-by-Three Matrices and Determinants. A 3 3 matrix looks like a 11 a 12 a 13 A = a 21 a 22 a 23
1 Chapter 14. Three-by-Three Matrices and Determinants A 3 3 matrix looks like a 11 a 12 a 13 A = a 21 a 22 a 23 = [a ij ] a 31 a 32 a 33 The nmber a ij is the entry in ro i and colmn j of A. Note that
More informationCentral Angles, Arc Length, and Sector Area
CHAPTER 5 A Central Angles, Arc Length, and Sector Area c GOAL Identify central angles and determine arc length and sector area formed by a central angle. Yo will need a calclator a compass a protractor
More informationModeling Roughness Effects in Open Channel Flows D.T. Souders and C.W. Hirt Flow Science, Inc.
FSI-2-TN6 Modeling Roghness Effects in Open Channel Flows D.T. Soders and C.W. Hirt Flow Science, Inc. Overview Flows along rivers, throgh pipes and irrigation channels enconter resistance that is proportional
More informationUnited Arab Emirates University College of Sciences Department of Mathematical Sciences HOMEWORK 1 SOLUTION. Section 10.1 Vectors in the Plane
United Arab Emirates University College of Sciences Deartment of Mathematical Sciences HOMEWORK 1 SOLUTION Section 10.1 Vectors in the Plane Calculus II for Engineering MATH 110 SECTION 0 CRN 510 :00 :00
More informationChapter 3. 2. Consider an economy described by the following equations: Y = 5,000 G = 1,000
Chapter C evel Qestions. Imagine that the prodction of fishing lres is governed by the prodction fnction: y.7 where y represents the nmber of lres created per hor and represents the nmber of workers employed
More informationMath 241, Exam 1 Information.
Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)
More informationGeometry of Vectors. 1 Cartesian Coordinates. Carlo Tomasi
Geometry of Vectors Carlo Tomasi This note explores the geometric meaning of norm, inner product, orthogonality, and projection for vectors. For vectors in three-dimensional space, we also examine the
More information3. Fluid Dynamics. 3.1 Uniform Flow, Steady Flow
3. Flid Dynamics Objectives Introdce concepts necessary to analyse flids in motion Identify differences between Steady/nsteady niform/non-niform compressible/incompressible flow Demonstrate streamlines
More informationEquilibrium of Forces Acting at a Point
Eqilibrim of orces Acting at a Point Eqilibrim of orces Acting at a Point Pre-lab Qestions 1. What is the definition of eqilibrim? Can an object be moving and still be in eqilibrim? Explain.. or this lab,
More informationStability of Linear Control System
Stabilit of Linear Control Sstem Concept of Stabilit Closed-loop feedback sstem is either stable or nstable. This tpe of characterization is referred to as absolte stabilit. Given that the sstem is stable,
More informationIn this chapter we introduce the idea that force times distance. Work and Kinetic Energy. Big Ideas 1 2 3. is force times distance.
Big Ideas 1 Work 2 Kinetic 3 Power is force times distance. energy is one-half mass times velocity sqared. is the rate at which work is done. 7 Work and Kinetic Energy The work done by this cyclist can
More informationChapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
More informationEvaluating trigonometric functions
MATH 1110 009-09-06 Evaluating trigonometric functions Remark. Throughout this document, remember the angle measurement convention, which states that if the measurement of an angle appears without units,
More information13.4 THE CROSS PRODUCT
710 Chapter Thirteen A FUNDAMENTAL TOOL: VECTORS 62. Use the following steps and the results of Problems 59 60 to show (without trigonometry) that the geometric and algebraic definitions of the dot product
More informationSolutions to Assignment 10
Soltions to Assignment Math 27, Fall 22.4.8 Define T : R R by T (x) = Ax where A is a matrix with eigenvales and -2. Does there exist a basis B for R sch that the B-matrix for T is a diagonal matrix? We
More informationEffect Sizes Based on Means
CHAPTER 4 Effect Sizes Based on Means Introduction Raw (unstardized) mean difference D Stardized mean difference, d g Resonse ratios INTRODUCTION When the studies reort means stard deviations, the referred
More information10.4 Solving Equations in Quadratic Form, Equations Reducible to Quadratics
. Solving Eqations in Qadratic Form, Eqations Redcible to Qadratics Now that we can solve all qadratic eqations we want to solve eqations that are not eactly qadratic bt can either be made to look qadratic
More informationPHY2061 Enriched Physics 2 Lecture Notes Relativity 4. Relativity 4
PHY6 Enriched Physics Lectre Notes Relativity 4 Relativity 4 Disclaimer: These lectre notes are not meant to replace the corse textbook. The content may be incomplete. Some topics may be nclear. These
More informationThe Online Freeze-tag Problem
The Online Freeze-tag Problem Mikael Hammar, Bengt J. Nilsson, and Mia Persson Atus Technologies AB, IDEON, SE-3 70 Lund, Sweden mikael.hammar@atus.com School of Technology and Society, Malmö University,
More informationIntroduction to HBase Schema Design
Introdction to HBase Schema Design Amandeep Khrana Amandeep Khrana is a Soltions Architect at Clodera and works on bilding soltions sing the Hadoop stack. He is also a co-athor of HBase in Action. Prior
More informationChapter 2. ( Vasiliy Koval/Fotolia)
hapter ( Vasili Koval/otolia) This electric transmission tower is stabilied b cables that eert forces on the tower at their points of connection. In this chapter we will show how to epress these forces
More informationEvery manufacturer is confronted with the problem
HOW MANY PARTS TO MAKE AT ONCE FORD W. HARRIS Prodction Engineer Reprinted from Factory, The Magazine of Management, Volme 10, Nmber 2, Febrary 1913, pp. 135-136, 152 Interest on capital tied p in wages,
More informationCoordinate Transformation
Coordinate Transformation Coordinate Transformations In this chater, we exlore maings where a maing is a function that "mas" one set to another, usually in a way that reserves at least some of the underlyign
More informationSection 9.5: Equations of Lines and Planes
Lines in 3D Space Section 9.5: Equations of Lines and Planes Practice HW from Stewart Textbook (not to hand in) p. 673 # 3-5 odd, 2-37 odd, 4, 47 Consider the line L through the point P = ( x, y, ) that
More informationMAT 1341: REVIEW II SANGHOON BAEK
MAT 1341: REVIEW II SANGHOON BAEK 1. Projections and Cross Product 1.1. Projections. Definition 1.1. Given a vector u, the rectangular (or perpendicular or orthogonal) components are two vectors u 1 and
More informationUsing GPU to Compute Options and Derivatives
Introdction Algorithmic Trading has created an increasing demand for high performance compting soltions within financial organizations. The actors of portfolio management and ris assessment have the obligation
More informationQUANTIFYING THE PERFORMANCE OF A TOP-DOWN NATURAL VENTILATION WINDCATCHER. Benjamin M. Jones a,b and Ray Kirby b, *
QUANTFYNG TH PRFORMANC OF A TOP-DOWN NATURAL VNTLATON WNDCATCHR Benjamin M. Jones a,b and Ray Kirby b, * a Monodraght Ltd. Halifax Hose, Halifax Road, Cressex Bsiness Park High Wycombe, Bckinghamshire,
More informationEffect of flow field on open channel flow properties using numerical investigation and experimental comparison
INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENT Volme 3, Isse 4, 2012 pp.617-628 Jornal homepage: www.ijee.ieefondation.org Effect of flow field on open channel flow properties sing nmerical investigation
More informationImage Processing and Computer Graphics. Rendering Pipeline. Matthias Teschner. Computer Science Department University of Freiburg
Image Processing and Computer Graphics Rendering Pipeline Matthias Teschner Computer Science Department University of Freiburg Outline introduction rendering pipeline vertex processing primitive processing
More informationMeasuring relative phase between two waveforms using an oscilloscope
Measuring relative hase between two waveforms using an oscilloscoe Overview There are a number of ways to measure the hase difference between two voltage waveforms using an oscilloscoe. This document covers
More informationv w is orthogonal to both v and w. the three vectors v, w and v w form a right-handed set of vectors.
3. Cross product Definition 3.1. Let v and w be two vectors in R 3. The cross product of v and w, denoted v w, is the vector defined as follows: the length of v w is the area of the parallelogram with
More informationA MOST PROBABLE POINT-BASED METHOD FOR RELIABILITY ANALYSIS, SENSITIVITY ANALYSIS AND DESIGN OPTIMIZATION
9 th ASCE Secialty Conference on Probabilistic Mechanics and Structural Reliability PMC2004 Abstract A MOST PROBABLE POINT-BASED METHOD FOR RELIABILITY ANALYSIS, SENSITIVITY ANALYSIS AND DESIGN OPTIMIZATION
More information5.3 The Cross Product in R 3
53 The Cross Product in R 3 Definition 531 Let u = [u 1, u 2, u 3 ] and v = [v 1, v 2, v 3 ] Then the vector given by [u 2 v 3 u 3 v 2, u 3 v 1 u 1 v 3, u 1 v 2 u 2 v 1 ] is called the cross product (or
More informationGeometric description of the cross product of the vectors u and v. The cross product of two vectors is a vector! u x v is perpendicular to u and v
12.4 Cross Product Geometric description of the cross product of the vectors u and v The cross product of two vectors is a vector! u x v is perpendicular to u and v The length of u x v is uv u v sin The
More informationTriangle Trigonometry and Circles
Math Objectives Students will understand that trigonometric functions of an angle do not depend on the size of the triangle within which the angle is contained, but rather on the ratios of the sides of
More informationAn Energy-Efficient Communication Scheme in Wireless Cable Sensor Networks
This fll text aer was eer reiewed at the direction of IEEE Commnications Society sbject matter exerts for blication in the IEEE ICC 11 roceedings An Energy-Efficient Commnication Scheme in Wireless Cable
More informationDesigning a TCP/IP Network
C H A P T E R 1 Designing a TCP/IP Network The TCP/IP protocol site defines indstry standard networking protocols for data networks, inclding the Internet. Determining the best design and implementation
More informationComputing Euler angles from a rotation matrix
Computing Euler angles from a rotation matrix Gregory G. Slabaugh Abstract This document discusses a simple technique to find all possible Euler angles from a rotation matrix. Determination of Euler angles
More information= y y 0. = z z 0. (a) Find a parametric vector equation for L. (b) Find parametric (scalar) equations for L.
Math 21a Lines and lanes Spring, 2009 Lines in Space How can we express the equation(s) of a line through a point (x 0 ; y 0 ; z 0 ) and parallel to the vector u ha; b; ci? Many ways: as parametric (scalar)
More informationDouble Integrals in Polar Coordinates
Double Integrals in Polar Coorinates Part : The Area Di erential in Polar Coorinates We can also aly the change of variable formula to the olar coorinate transformation x = r cos () ; y = r sin () However,
More information4.1 Work Done by a Constant Force
4.1 Work Done by a Constant orce work the prodct of the magnitde of an object s and the component of the applied force in the direction of the Stdying can feel like a lot of work. Imagine stdying several
More informationASAND: Asynchronous Slot Assignment and Neighbor Discovery Protocol for Wireless Networks
ASAND: Asynchronos Slot Assignment and Neighbor Discovery Protocol for Wireless Networks Fikret Sivrikaya, Costas Bsch, Malik Magdon-Ismail, Bülent Yener Compter Science Department, Rensselaer Polytechnic
More informationCloser Look at ACOs. Making the Most of Accountable Care Organizations (ACOs): What Advocates Need to Know
Closer Look at ACOs A series of briefs designed to help advocates nderstand the basics of Accontable Care Organizations (ACOs) and their potential for improving patient care. From Families USA Updated
More informationBonds with Embedded Options and Options on Bonds
FIXED-INCOME SECURITIES Chapter 14 Bonds with Embedded Options and Options on Bonds Callable and Ptable Bonds Instittional Aspects Valation Convertible Bonds Instittional Aspects Valation Options on Bonds
More informationSTABILITY OF PNEUMATIC and HYDRAULIC VALVES
STABILITY OF PNEUMATIC and HYDRAULIC VALVES These three tutorials will not be found in any examination syllabus. They have been added to the web site for engineers seeking knowledge on why valve elements
More informationEnabling Advanced Windows Server 2003 Active Directory Features
C H A P T E R 5 Enabling Advanced Windows Server 2003 Active Directory Featres The Microsoft Windows Server 2003 Active Directory directory service enables yo to introdce advanced featres into yor environment
More informationDouble Integrals in Polar Coordinates
Double Integrals in Polar Coordinates. A flat plate is in the shape of the region in the first quadrant ling between the circles + and +. The densit of the plate at point, is + kilograms per square meter
More informationUNIT 62: STRENGTHS OF MATERIALS Unit code: K/601/1409 QCF level: 5 Credit value: 15 OUTCOME 2 - TUTORIAL 3
UNIT 6: STRNGTHS O MTRIS Unit code: K/601/1409 QC level: 5 Credit vale: 15 OUTCOM - TUTORI 3 INTRMDIT ND SHORT COMPRSSION MMBRS Be able to determine the behavioral characteristics of loaded beams, colmns
More informationLinear Programming. Non-Lecture J: Linear Programming
The greatest flood has the soonest ebb; the sorest tempest the most sdden calm; the hottest love the coldest end; and from the deepest desire oftentimes enses the deadliest hate. Socrates Th extremes of
More informationTWO-DIMENSIONAL TRANSFORMATION
CHAPTER 2 TWO-DIMENSIONAL TRANSFORMATION 2.1 Introduction As stated earlier, Computer Aided Design consists of three components, namely, Design (Geometric Modeling), Analysis (FEA, etc), and Visualization
More informationAlgebra Geometry Glossary. 90 angle
lgebra Geometry Glossary 1) acute angle an angle less than 90 acute angle 90 angle 2) acute triangle a triangle where all angles are less than 90 3) adjacent angles angles that share a common leg Example:
More informationLarge Sample Theory. Consider a sequence of random variables Z 1, Z 2,..., Z n. Convergence in probability: Z n
Large Samle Theory In statistics, we are interested in the roerties of articular random variables (or estimators ), which are functions of our data. In ymtotic analysis, we focus on describing the roerties
More informationUnified Lecture # 4 Vectors
Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,
More informationChapter 5 Darcy s Law and Applications
Chater 5 Darcy s La and Alications 4.1 Introdction Darcy' s la Note : Time q reservoir scale is dn dt added 1 4. Darcy s La; Flid Potential K h 1 l h K h l Different Sand Pac Different K The ressre at
More informationSIMPLE DESIGN METHOD FOR OPENING WALL WITH VARIOUS SUPPORT CONDITIONS
SIMPLE DESIGN METHOD FOR OPENING WALL WITH VARIOUS SUPPORT CONDITIONS Jeng-Han Doh 1, Nhat Minh Ho 1, Griffith School of Engineering, Griffith University-Gold Coast Camps, Qeensland, Astralia ABSTRACT
More informationNewton s three laws of motion, the foundation of classical. Applications of Newton s Laws. Chapter 5. 5.1 Equilibrium of a Particle
Chapter 5 Applications of Newton s Laws The soles of hiking shoes are designed to stick, not slip, on rocky srfaces. In this chapter we ll learn abot the interactions that give good traction. By the end
More informationCorporate performance: What do investors want to know? Innovate your way to clearer financial reporting
www.pwc.com Corporate performance: What do investors want to know? Innovate yor way to clearer financial reporting October 2014 PwC I Innovate yor way to clearer financial reporting t 1 Contents Introdction
More informationOn the urbanization of poverty
On the rbanization of poverty Martin Ravallion 1 Development Research Grop, World Bank 1818 H Street NW, Washington DC, USA Febrary 001; revised Jly 001 Abstract: Conditions are identified nder which the
More informationReview B: Coordinate Systems
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of hysics 8.02 Review B: Coordinate Systems B.1 Cartesian Coordinates... B-2 B.1.1 Infinitesimal Line Element... B-4 B.1.2 Infinitesimal Area Element...
More information1 Gambler s Ruin Problem
Coyright c 2009 by Karl Sigman 1 Gambler s Ruin Problem Let N 2 be an integer and let 1 i N 1. Consider a gambler who starts with an initial fortune of $i and then on each successive gamble either wins
More informationC-Bus Voltage Calculation
D E S I G N E R N O T E S C-Bus Voltage Calculation Designer note number: 3-12-1256 Designer: Darren Snodgrass Contact Person: Darren Snodgrass Aroved: Date: Synosis: The guidelines used by installers
More informationINTRODUCTION TO RENDERING TECHNIQUES
INTRODUCTION TO RENDERING TECHNIQUES 22 Mar. 212 Yanir Kleiman What is 3D Graphics? Why 3D? Draw one frame at a time Model only once X 24 frames per second Color / texture only once 15, frames for a feature
More informationPlanning a Smart Card Deployment
C H A P T E R 1 7 Planning a Smart Card Deployment Smart card spport in Microsoft Windows Server 2003 enables yo to enhance the secrity of many critical fnctions, inclding client athentication, interactive
More informationTHREE DIMENSIONAL GEOMETRY
Chapter 8 THREE DIMENSIONAL GEOMETRY 8.1 Introduction In this chapter we present a vector algebra approach to three dimensional geometry. The aim is to present standard properties of lines and planes,
More informationFluent Software Training TRN-99-003. Solver Settings. Fluent Inc. 2/23/01
Solver Settings E1 Using the Solver Setting Solver Parameters Convergence Definition Monitoring Stability Accelerating Convergence Accuracy Grid Indeendence Adation Aendix: Background Finite Volume Method
More informationMotorola Reinvents its Supplier Negotiation Process Using Emptoris and Saves $600 Million. An Emptoris Case Study. Emptoris, Inc. www.emptoris.
Motorola Reinvents its Spplier Negotiation Process Using Emptoris and Saves $600 Million An Emptoris Case Stdy Emptoris, Inc. www.emptoris.com VIII-03/3/05 Exective Smmary With the disastros telecommnication
More informationLinear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices
MATH 30 Differential Equations Spring 006 Linear algebra and the geometry of quadratic equations Similarity transformations and orthogonal matrices First, some things to recall from linear algebra Two
More informationPlanning and Implementing An Optimized Private Cloud
W H I T E PA P E R Intelligent HPC Management Planning and Implementing An Optimized Private Clod Creating a Clod Environment That Maximizes Yor ROI Planning and Implementing An Optimized Private Clod
More informationMVM-BVRM Video Recording Manager v2.22
Video MVM-BVRM Video Recording Manager v2.22 MVM-BVRM Video Recording Manager v2.22 www.boschsecrity.com Distribted storage and configrable load balancing iscsi disk array failover for extra reliability
More informationEquations Involving Lines and Planes Standard equations for lines in space
Equations Involving Lines and Planes In this section we will collect various important formulas regarding equations of lines and planes in three dimensional space Reminder regarding notation: any quantity
More informationRegular Specifications of Resource Requirements for Embedded Control Software
Reglar Specifications of Resorce Reqirements for Embedded Control Software Rajeev Alr and Gera Weiss University of Pennsylvania Abstract For embedded control systems a schedle for the allocation of resorces
More informationGeometric Transformation CS 211A
Geometric Transformation CS 211A What is transformation? Moving points (x,y) moves to (x+t, y+t) Can be in any dimension 2D Image warps 3D 3D Graphics and Vision Can also be considered as a movement to
More informationPoint Location. Preprocess a planar, polygonal subdivision for point location queries. p = (18, 11)
Point Location Prerocess a lanar, olygonal subdivision for oint location ueries. = (18, 11) Inut is a subdivision S of comlexity n, say, number of edges. uild a data structure on S so that for a uery oint
More informationCSC 505, Fall 2000: Week 8
Objecties: CSC 505, Fall 2000: Week 8 learn abot the basic depth-first search algorithm learn how properties of a graph can be inferred from the strctre of a DFS tree learn abot one nontriial application
More informationCRM Customer Relationship Management. Customer Relationship Management
CRM Cstomer Relationship Management Farley Beaton Virginia Department of Taxation Discssion Areas TAX/AMS Partnership Project Backgrond Cstomer Relationship Management Secre Messaging Lessons Learned 2
More informationCIRCLE COORDINATE GEOMETRY
CIRCLE COORDINATE GEOMETRY (EXAM QUESTIONS) Question 1 (**) A circle has equation x + y = 2x + 8 Determine the radius and the coordinates of the centre of the circle. r = 3, ( 1,0 ) Question 2 (**) A circle
More informationLecture L3 - Vectors, Matrices and Coordinate Transformations
S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between
More informationThe Matrix Elements of a 3 3 Orthogonal Matrix Revisited
Physics 116A Winter 2011 The Matrix Elements of a 3 3 Orthogonal Matrix Revisited 1. Introduction In a class handout entitled, Three-Dimensional Proper and Improper Rotation Matrices, I provided a derivation
More informationFactoring Patterns in the Gaussian Plane
Factoring Patterns in the Gaussian Plane Steve Phelps Introduction This paper describes discoveries made at the Park City Mathematics Institute, 00, as well as some proofs. Before the summer I understood
More informationPythagorean Triples and Rational Points on the Unit Circle
Pythagorean Triles and Rational Points on the Unit Circle Solutions Below are samle solutions to the roblems osed. You may find that your solutions are different in form and you may have found atterns
More informationR&DE (Engineers), DRDO. Theories of Failure. rd_mech@yahoo.co.in. Ramadas Chennamsetti
heories of Failure ummary Maximum rincial stress theory Maximum rincial strain theory Maximum strain energy theory Distortion energy theory Maximum shear stress theory Octahedral stress theory Introduction
More informationTools to help Historically Black Colleges & Universities make the most of their brand, website & marketing campaigns
Tools to help Historically Black Colleges & Universities make the most of their brand, website & marketing campaigns A service of vitalink, Universal Printing and AndiSites Universities are challenged
More information1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,
1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It
More informationSolutions for Review Problems
olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector
More informationChapter 1. LAN Design
Chapter 1 LAN Design CCNA3-1 Chapter 1 Note for Instrctors These presentations are the reslt of a collaboration among the instrctors at St. Clair College in Windsor, Ontario. Thanks mst go ot to Rick Graziani
More informationCosmological Origin of Gravitational Constant
Apeiron, Vol. 5, No. 4, October 8 465 Cosmological Origin of Gravitational Constant Maciej Rybicki Sas-Zbrzyckiego 8/7 3-6 Krakow, oland rybicki@skr.pl The base nits contribting to gravitational constant
More informationLectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain
Lectures notes on orthogonal matrices (with exercises) 92.222 - Linear Algebra II - Spring 2004 by D. Klain 1. Orthogonal matrices and orthonormal sets An n n real-valued matrix A is said to be an orthogonal
More informationLecture 3: Coordinate Systems and Transformations
Lecture 3: Coordinate Systems and Transformations Topics: 1. Coordinate systems and frames 2. Change of frames 3. Affine transformations 4. Rotation, translation, scaling, and shear 5. Rotation about an
More informationStability Improvements of Robot Control by Periodic Variation of the Gain Parameters
Proceedings of the th World Congress in Mechanism and Machine Science ril ~4, 4, ianin, China China Machinery Press, edited by ian Huang. 86-8 Stability Imrovements of Robot Control by Periodic Variation
More information3 Building Blocks Of Optimized Price & Promotion Strategies
3 Bilding Blocks Of Optimized Price & Promotion Strategies Boosting Brand Loyalty And Profits With Visal Analytics Sponsored by E-book Table of contents Introdction... 3 Consolidate And Analyze Data From
More informationSolutions to old Exam 1 problems
Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections
More informationSAT Subject Math Level 1 Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses
More informationPinhole Optics. OBJECTIVES To study the formation of an image without use of a lens.
Pinhole Otics Science, at bottom, is really anti-intellectual. It always distrusts ure reason and demands the roduction of the objective fact. H. L. Mencken (1880-1956) OBJECTIVES To study the formation
More informationSAT Subject Math Level 2 Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Arithmetic Sequences: PEMDAS (Parentheses
More informationAlgebra. Exponents. Absolute Value. Simplify each of the following as much as possible. 2x y x + y y. xxx 3. x x x xx x. 1. Evaluate 5 and 123
Algebra Eponents Simplify each of the following as much as possible. 1 4 9 4 y + y y. 1 5. 1 5 4. y + y 4 5 6 5. + 1 4 9 10 1 7 9 0 Absolute Value Evaluate 5 and 1. Eliminate the absolute value bars from
More information5. Orthogonal matrices
L Vandenberghe EE133A (Spring 2016) 5 Orthogonal matrices matrices with orthonormal columns orthogonal matrices tall matrices with orthonormal columns complex matrices with orthonormal columns 5-1 Orthonormal
More information