Bernstein-Bezier Techniques in High Order Finite Elements

Size: px
Start display at page:

Download "Bernstein-Bezier Techniques in High Order Finite Elements"

Transcription

1 Bernstein-Bezier Techniques in High Order Finite Elements Mark Ainsworth Division of Applied Mathematics Brown University

2 Outline Bernstein-Bezier Polynomials De Casteljau Algorithm Sum-Factorisation and AAD Algorithm Bernstein-Bezier Basis for RaviartThomas Elements Applications

3 Nomenclature 'Multi-Indices' 'Domain Points' Case: n=4

4 Bernstein-Bezier Polynomials Non-negative, partition of unity Natural identifications:

5 Bernstein-Bezier Polynomials Vertex Function Edge Function Internal Function Typical degree 3 Bernstein-Bezier Polynomials Interactive View

6 Why Bernstein-Bezier? Elegant, efficient and stable algorithms. e.g. de Casteljau, Industry standard for graphics. e.g. psfonts defined as Bezier curves, CAD/CAM packages use Bezier extensively. Industry standard for graphics hardware. e.g. OpenGL hardware optimised routines to render Bezier curves and surfaces.

7 Some Nice Properties of Bernstein Polynomials

8 De Casteljau Algorithm (n=1) How to evaluate BB poly (n=1) at x?

9 De Casteljau Algorithm (n=1) Replace coordinates by control points simply linear interpolation.

10 De Casteljau Algorithm (n=3) How to evaluate BB poly (n=3) at x?

11 De Casteljau Algorithm (n=3) Introduce (virtual) micro-mesh

12 De Casteljau Algorithm (n=3) LOCAL linear interpolation (as for n=1)

13 De Casteljau Algorithm (n=3) LOCAL linear interpolation (as for n=1)

14 De Casteljau Algorithm (n=3) Form lattice from new control points

15 De Casteljau Algorithm (n=3) Perform LOCAL linear interpolation again

16 De Casteljau Algorithm (n=3) Form lattice from new control points

17 De Casteljau Algorithm (n=3) Perform linear interpolation again

18 De Casteljau Algorithm (n=3) Gives the value of cubic BB poly at x

19 De Casteljau Algorithm (n=3) Stacking the arrays => Pyramid Algorithm BOOK: R. Goldman, Pyramid Algorithms: A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling.

20 Question We consider following simple question: What advantages do Bernstein polynomials offer

21 Question We consider following simple question: What advantages do Bernstein polynomials offer (if any)

22 Question We consider following simple question: What advantages do Bernstein polynomials offer (if any) for high order FEM?

23 Question We consider following simple question: What advantages do Bernstein polynomials offer (if any) for high order FEM? Question motivated by: - almost ubiquitous use of Bernstein polys in CAGD community - and in spline literature. - Similar philosophy to IGA (Hughes et al.)

24 Bernstein-Bezier FEM Previous work on using Bernstein-Bezier basis Awanou (PhD Thesis), Arnold et al. (2009), BUT don't take advantage of special properties of BB (could equally well used Lagrange basis). Work seeking to exploit properties of BB: * R.C. Kirby, Numer. Math., (2011). Constant data, affine simplices in 2D/3D. * Ainsworth, Andriamaro & Davydov, SIAM J. Sci. Comp., (2011). Variable data, curvilinear elements, non-linear problems, simplices, prisms, bricks,, any dimension.

25 Duffy Transformation Ref: Duffy '81, Dubiner '92, Warburton et al. '99

26 Stroud Conical Quadrature Rule Duffy transformation gives Approximate integral over t_k variable by Gauss-Jacobi rule:

27 Stroud Conical Quadrature Rule Gives Stroud conical quadrature - positive quadrature weights - quadrature nodes on T

28 Bernstein Polynomials & Duffy How does Bernstein polynomial behave under Duffy transformation? Consider univariate Bernstein polynomial then Tensorial Nature Tensorial!

29 Bernstein Polynomials & Duffy KEY OBSERVATION: Bernstein polynomials possess key property needed for Sum Factorisation Algorithm. Ref. Orszag, 1980 BUT basis not tied to a tensorial construction.

30 Application: Evaluation of BBFEM How to efficiently evaluate a BBFEM approx at all of Stroud points?

31 Application: Evaluation of BBFEM How to efficiently evaluate a BBFEM approx at all of Stroud points? Method 1: Apply de Casteljau Algorithm. => Cost of per point.

32 Application: Evaluation of BBFEM How to efficiently evaluate a BBFEM approx at all of Stroud points? Method 2: Apply sum factorisation.

33 Application: Evaluation of BBFEM Using KEY OBSERVATION, where x is Duffy transformation.

34 Application: Evaluation of BBFEM i.e. want to evaluate at Stroud points.

35 Application: Evaluation of BBFEM

36 Application: Evaluation of BBFEM

37 Application: Evaluation of BBFEM

38 Application: Evaluation of BBFEM

39 Application: Evaluation of BBFEM

40 Application: Evaluation of BBFEM

41 Application: Evaluation of BBFEM

42 Application: Evaluation of BBFEM

43 Application: Evaluation of BBFEM

44 Application: Evaluation of BBFEM

45 Application: Evaluation of BBFEM

46 Application: Evaluation of BBFEM

47 Application: Evaluation of BBFEM

48 Application: Evaluation of BBFEM Step 1: Apply KEY OBSERVATION to write

49 Application: Evaluation of BBFEM Step 1: Apply KEY OBSERVATION to write Step 2: Express in recursive form

50 Application: Evaluation of BBFEM Recursion leads to at total cost for all points of

51 Application: Evaluation of BBFEM Recursion leads to at total cost for all points of i.e. we get all points at same cost for de Casteljau to get a single point.

52 Application: Evaluation of BBFEM Recursion leads to at total cost for all points of i.e. we get all points at same cost for de Casteljau to get a single point. including the cost of evaluating basis functions 'on the fly'.

53 Evaluation of Moments Bernstein-Bezier Moments of f defined by needed for element load vector.

54 Evaluation of Moments Bernstein-Bezier Moments of f defined by needed for element load vector. If data f constant, then have simple closed form

55 Evaluation of Moments Bernstein-Bezier Moments of f defined by needed for element load vector. General data: need quadrature rule with Points where Total of moments => potentially costly.

56 Evaluation of Moments Duffy transformation and KEY OBSERVATION gives

57 Evaluation of Moments Apply Stroud conical quadrature rule to obtain recursive formulae:

58 Evaluation of Moments Apply Stroud conical quadrature rule to obtain recursive formulae: Result of recursion

59 Evaluation of Moments Ref: Ainsworth, Andriamaro & Davydov, SISC 2011

60 Evaluation of Element Mass Matrix Dimension i.e. Is it possible to compute matrix in operation per entry? i.e. complexity

61 Evaluation of Element Mass Matrix Dimension i.e. Is it possible to compute matrix in operation per entry? i.e. complexity Karniadakis & Sherwin approach gives

62 Evaluation of Element Mass Matrix Dimension i.e. Is it possible to compute matrix in operation per entry? i.e. complexity Karniadakis & Sherwin approach gives Eibner & Melenk (2006) gives BUT requires 6-fold increase in dimension.

63 Evaluation of Element Mass Matrix Claim: Bernstein-Bezier basis achieves optimal complexity (without tinkering with the space). Recall property of Bernstein polynomials

64 Evaluation of Element Mass Matrix Claim: Bernstein-Bezier basis achieves optimal complexity (without tinkering with the space). Hence,

65 Evaluation of Element Mass Matrix Apply AAD Algorithm to compute the moments Complexity:

66 Evaluation of Element Mass Matrix Apply AAD Algorithm to compute the moments Complexity: Remarkably, multinomials dominate the cost! careful treatment gives complexity.

67 Evaluation of Element Stiffness Matrix

68 Evaluation of Element Stiffness Matrix Another useful property of Bernstein polys

69 Evaluation of Element Stiffness Matrix Another useful property of Bernstein polys Hence

70 Bernstein-Bezier => Optimal Complexity Ref: Ainsworth, Andriamaro & Davydov, SISC 2011

71 Example: 2D

72 Example: 3D

73 Example: 4D

74 Bernstein-Bezier Basis for Raviart-Thomas Elements

75 Raviart-Thomas Elements e.g.

76 Raviart-Thomas (n=0) Business as usual

77 Equivalent Expression for Basis Standard RT0 Basis Identical

78 'Generalised' Whitney Functions By analogy with For define

79 Bernstein-Bezier Basis for Dispense with all three vertex functions: where That leaves us two short...

80 Bernstein-Bezier Basis for Dispense with one 'generalised' Whitney function: where minus any one index We're three short now...

81 Bernstein-Bezier Basis for Include all three lowest order Whitney functions. What does it mean geometrically?

82 Raviart-Thomas (n=1)

83 Raviart-Thomas (n=1)

84 Raviart-Thomas (n=2)

85 Raviart-Thomas (n=2)

86 Raviart-Thomas (n=3)

87 Raviart-Thomas (General Case)

88 Application: Darcy Flow

89 Darcy: Element Residuals Current Approximation: Residuals:

90 CPU for Element Residuals

91 Application: Maxwell's Equations True Solution:

92 Application: Maxwell's Equations

93 Application: Maxwell's Equations

94 Summary Conceptual simplicity: Basis Functions <-> Nodes Optimal complexity computation of element matrices using AAD Algorithm/fast matrix multiply (MA, Andriamaro & Davydov, SISC, 2011) Extension to H(div)/H(curl) MA, Andriamaro & Davydov, Brown Tech. Rep. 20, 2012) Non-Uniform Local Polynomial Orders with de Casteljau 'pyramid' algorithms for entire FE implementation (Ainsworth, SISC 36, 2014).

Computer Graphics CS 543 Lecture 12 (Part 1) Curves. Prof Emmanuel Agu. Computer Science Dept. Worcester Polytechnic Institute (WPI)

Computer Graphics CS 543 Lecture 12 (Part 1) Curves. Prof Emmanuel Agu. Computer Science Dept. Worcester Polytechnic Institute (WPI) Computer Graphics CS 54 Lecture 1 (Part 1) Curves Prof Emmanuel Agu Computer Science Dept. Worcester Polytechnic Institute (WPI) So Far Dealt with straight lines and flat surfaces Real world objects include

More information

Corollary. (f є C n+1 [a,b]). Proof: This follows directly from the preceding theorem using the inequality

Corollary. (f є C n+1 [a,b]). Proof: This follows directly from the preceding theorem using the inequality Corollary For equidistant knots, i.e., u i = a + i (b-a)/n, we obtain with (f є C n+1 [a,b]). Proof: This follows directly from the preceding theorem using the inequality 120202: ESM4A - Numerical Methods

More information

Degree Reduction of Interval SB Curves

Degree Reduction of Interval SB Curves International Journal of Video&Image Processing and Network Security IJVIPNS-IJENS Vol:13 No:04 1 Degree Reduction of Interval SB Curves O. Ismail, Senior Member, IEEE Abstract Ball basis was introduced

More information

A matrix method for degree-raising of B-spline curves *

A matrix method for degree-raising of B-spline curves * VOI. 40 NO. 1 SCIENCE IN CHINA (Series E) February 1997 A matrix method for degree-raising of B-spline curves * QIN Kaihuai (%*>/$) (Department of Computer Science and Technology, Tsinghua University,

More information

Computer Graphics. Geometric Modeling. Page 1. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science - Technion. An Example.

Computer Graphics. Geometric Modeling. Page 1. Copyright Gotsman, Elber, Barequet, Karni, Sheffer Computer Science - Technion. An Example. An Example 2 3 4 Outline Objective: Develop methods and algorithms to mathematically model shape of real world objects Categories: Wire-Frame Representation Object is represented as as a set of points

More information

CSE 167: Lecture 13: Bézier Curves. Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2011

CSE 167: Lecture 13: Bézier Curves. Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2011 CSE 167: Introduction to Computer Graphics Lecture 13: Bézier Curves Jürgen P. Schulze, Ph.D. University of California, San Diego Fall Quarter 2011 Announcements Homework project #6 due Friday, Nov 18

More information

Essential Mathematics for Computer Graphics fast

Essential Mathematics for Computer Graphics fast John Vince Essential Mathematics for Computer Graphics fast Springer Contents 1. MATHEMATICS 1 Is mathematics difficult? 3 Who should read this book? 4 Aims and objectives of this book 4 Assumptions made

More information

CHAPTER 1 Splines and B-splines an Introduction

CHAPTER 1 Splines and B-splines an Introduction CHAPTER 1 Splines and B-splines an Introduction In this first chapter, we consider the following fundamental problem: Given a set of points in the plane, determine a smooth curve that approximates the

More information

Modeling Curves and Surfaces

Modeling Curves and Surfaces Modeling Curves and Surfaces Graphics I Modeling for Computer Graphics!? 1 How can we generate this kind of objects? Umm!? Mathematical Modeling! S Do not worry too much about your difficulties in mathematics,

More information

Serendipity Basis Functions for Any Degree in Any Dimension

Serendipity Basis Functions for Any Degree in Any Dimension Serendipity Basis Functions for Any Degree in Any Dimension Andrew Gillette Department of Mathematics University of Arizona joint work with Michael Floater (University of Oslo) http://math.arizona.edu/

More information

Finite Element Formulation for Plates - Handout 3 -

Finite Element Formulation for Plates - Handout 3 - Finite Element Formulation for Plates - Handout 3 - Dr Fehmi Cirak (fc286@) Completed Version Definitions A plate is a three dimensional solid body with one of the plate dimensions much smaller than the

More information

BEZIER CURVES AND SURFACES

BEZIER CURVES AND SURFACES Department of Applied Mathematics and Computational Sciences University of Cantabria UC-CAGD Group COMPUTER-AIDED GEOMETRIC DESIGN AND COMPUTER GRAPHICS: BEZIER CURVES AND SURFACES Andrés Iglesias e-mail:

More information

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model CHAPTER 4 CURVES 4.1 Introduction In order to understand the significance of curves, we should look into the types of model representations that are used in geometric modeling. Curves play a very significant

More information

(Refer Slide Time: 1:42)

(Refer Slide Time: 1:42) Introduction to Computer Graphics Dr. Prem Kalra Department of Computer Science and Engineering Indian Institute of Technology, Delhi Lecture - 10 Curves So today we are going to have a new topic. So far

More information

Figure 2.1: Center of mass of four points.

Figure 2.1: Center of mass of four points. Chapter 2 Bézier curves are named after their inventor, Dr. Pierre Bézier. Bézier was an engineer with the Renault car company and set out in the early 196 s to develop a curve formulation which would

More information

Computational Geometry Lab: FEM BASIS FUNCTIONS FOR A TETRAHEDRON

Computational Geometry Lab: FEM BASIS FUNCTIONS FOR A TETRAHEDRON Computational Geometry Lab: FEM BASIS FUNCTIONS FOR A TETRAHEDRON John Burkardt Information Technology Department Virginia Tech http://people.sc.fsu.edu/ jburkardt/presentations/cg lab fem basis tetrahedron.pdf

More information

NUMERICAL METHODS TOPICS FOR RESEARCH PAPERS

NUMERICAL METHODS TOPICS FOR RESEARCH PAPERS Faculty of Civil Engineering Belgrade Master Study COMPUTATIONAL ENGINEERING Fall semester 2004/2005 NUMERICAL METHODS TOPICS FOR RESEARCH PAPERS 1. NUMERICAL METHODS IN FINITE ELEMENT ANALYSIS - Matrices

More information

Finite Element Formulation for Beams - Handout 2 -

Finite Element Formulation for Beams - Handout 2 - Finite Element Formulation for Beams - Handout 2 - Dr Fehmi Cirak (fc286@) Completed Version Review of Euler-Bernoulli Beam Physical beam model midline Beam domain in three-dimensions Midline, also called

More information

Geometric Modelling & Curves

Geometric Modelling & Curves Geometric Modelling & Curves Geometric Modeling Creating symbolic models of the physical world has long been a goal of mathematicians, scientists, engineers, etc. Recently technology has advanced sufficiently

More information

1. Abstract 2. Introduction 3. Algorithms and Techniques

1. Abstract 2. Introduction 3. Algorithms and Techniques MS PROJECT Virtual Surgery Piyush Soni under the guidance of Dr. Jarek Rossignac, Brian Whited Georgia Institute of Technology, Graphics, Visualization and Usability Center Atlanta, GA piyush_soni@gatech.edu,

More information

Dhiren Bhatia Carnegie Mellon University

Dhiren Bhatia Carnegie Mellon University Dhiren Bhatia Carnegie Mellon University University Course Evaluations available online Please Fill! December 4 : In-class final exam Held during class time All students expected to give final this date

More information

Integration. Topic: Trapezoidal Rule. Major: General Engineering. Author: Autar Kaw, Charlie Barker. http://numericalmethods.eng.usf.

Integration. Topic: Trapezoidal Rule. Major: General Engineering. Author: Autar Kaw, Charlie Barker. http://numericalmethods.eng.usf. Integration Topic: Trapezoidal Rule Major: General Engineering Author: Autar Kaw, Charlie Barker 1 What is Integration Integration: The process of measuring the area under a function plotted on a graph.

More information

AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS

AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS AN INTRODUCTION TO NUMERICAL METHODS AND ANALYSIS Revised Edition James Epperson Mathematical Reviews BICENTENNIAL 0, 1 8 0 7 z ewiley wu 2007 r71 BICENTENNIAL WILEY-INTERSCIENCE A John Wiley & Sons, Inc.,

More information

1 Cubic Hermite Spline Interpolation

1 Cubic Hermite Spline Interpolation cs412: introduction to numerical analysis 10/26/10 Lecture 13: Cubic Hermite Spline Interpolation II Instructor: Professor Amos Ron Scribes: Yunpeng Li, Mark Cowlishaw, Nathanael Fillmore 1 Cubic Hermite

More information

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

3.2. Solving quadratic equations. Introduction. Prerequisites. Learning Outcomes. Learning Style Solving quadratic equations 3.2 Introduction A quadratic equation is one which can be written in the form ax 2 + bx + c = 0 where a, b and c are numbers and x is the unknown whose value(s) we wish to find.

More information

Numerical Analysis. Professor Donna Calhoun. Fall 2013 Math 465/565. Office : MG241A Office Hours : Wednesday 10:00-12:00 and 1:00-3:00

Numerical Analysis. Professor Donna Calhoun. Fall 2013 Math 465/565. Office : MG241A Office Hours : Wednesday 10:00-12:00 and 1:00-3:00 Numerical Analysis Professor Donna Calhoun Office : MG241A Office Hours : Wednesday 10:00-12:00 and 1:00-3:00 Fall 2013 Math 465/565 http://math.boisestate.edu/~calhoun/teaching/math565_fall2013 What is

More information

INTERACTIVE COMPUTER GRAPHICS Data Structures, Algorithms, Languages

INTERACTIVE COMPUTER GRAPHICS Data Structures, Algorithms, Languages INTERACTIVE COMPUTER GRAPHICS Data Structures, Algorithms, Languages Wolfgang K. Glloi Technical University of Berlin and University of Minnesota Tochnisths BodischBle Dnrmstadt FACHEEKE1CH 1NFORMATIK

More information

Numerical Analysis Introduction. Student Audience. Prerequisites. Technology.

Numerical Analysis Introduction. Student Audience. Prerequisites. Technology. Numerical Analysis Douglas Faires, Youngstown State University, (Chair, 2012-2013) Elizabeth Yanik, Emporia State University, (Chair, 2013-2015) Graeme Fairweather, Executive Editor, Mathematical Reviews,

More information

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson JUST THE MATHS UNIT NUMBER 1.8 ALGEBRA 8 (Polynomials) by A.J.Hobson 1.8.1 The factor theorem 1.8.2 Application to quadratic and cubic expressions 1.8.3 Cubic equations 1.8.4 Long division of polynomials

More information

Numerical Analysis An Introduction

Numerical Analysis An Introduction Walter Gautschi Numerical Analysis An Introduction 1997 Birkhauser Boston Basel Berlin CONTENTS PREFACE xi CHAPTER 0. PROLOGUE 1 0.1. Overview 1 0.2. Numerical analysis software 3 0.3. Textbooks and monographs

More information

GEC320 COURSE COMPACT. Four hours per week for 15 weeks (60 hours)

GEC320 COURSE COMPACT. Four hours per week for 15 weeks (60 hours) GEC320 COURSE COMPACT Course Course code: GEC 320 Course title: Course status: Course Duration Numerical Methods (2 units) Compulsory Four hours per week for 15 weeks (60 hours) Lecturer Data Name: Engr.

More information

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year.

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the 2012-13 school year. This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Algebra

More information

820446 - ACMSM - Computer Applications in Solids Mechanics

820446 - ACMSM - Computer Applications in Solids Mechanics Coordinating unit: 820 - EUETIB - Barcelona College of Industrial Engineering Teaching unit: 737 - RMEE - Department of Strength of Materials and Structural Engineering Academic year: Degree: 2015 BACHELOR'S

More information

MATH1231 Algebra, 2015 Chapter 7: Linear maps

MATH1231 Algebra, 2015 Chapter 7: Linear maps MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter

More information

Nonlinear Iterative Partial Least Squares Method

Nonlinear Iterative Partial Least Squares Method Numerical Methods for Determining Principal Component Analysis Abstract Factors Béchu, S., Richard-Plouet, M., Fernandez, V., Walton, J., and Fairley, N. (2016) Developments in numerical treatments for

More information

Mean value theorem, Taylors Theorem, Maxima and Minima.

Mean value theorem, Taylors Theorem, Maxima and Minima. MA 001 Preparatory Mathematics I. Complex numbers as ordered pairs. Argand s diagram. Triangle inequality. De Moivre s Theorem. Algebra: Quadratic equations and express-ions. Permutations and Combinations.

More information

1 Review of Least Squares Solutions to Overdetermined Systems

1 Review of Least Squares Solutions to Overdetermined Systems cs4: introduction to numerical analysis /9/0 Lecture 7: Rectangular Systems and Numerical Integration Instructor: Professor Amos Ron Scribes: Mark Cowlishaw, Nathanael Fillmore Review of Least Squares

More information

DERIVATIVES AS MATRICES; CHAIN RULE

DERIVATIVES AS MATRICES; CHAIN RULE DERIVATIVES AS MATRICES; CHAIN RULE 1. Derivatives of Real-valued Functions Let s first consider functions f : R 2 R. Recall that if the partial derivatives of f exist at the point (x 0, y 0 ), then we

More information

Prentice Hall Mathematics: Algebra 2 2007 Correlated to: Utah Core Curriculum for Math, Intermediate Algebra (Secondary)

Prentice Hall Mathematics: Algebra 2 2007 Correlated to: Utah Core Curriculum for Math, Intermediate Algebra (Secondary) Core Standards of the Course Standard 1 Students will acquire number sense and perform operations with real and complex numbers. Objective 1.1 Compute fluently and make reasonable estimates. 1. Simplify

More information

Content. Chapter 4 Functions 61 4.1 Basic concepts on real functions 62. Credits 11

Content. Chapter 4 Functions 61 4.1 Basic concepts on real functions 62. Credits 11 Content Credits 11 Chapter 1 Arithmetic Refresher 13 1.1 Algebra 14 Real Numbers 14 Real Polynomials 19 1.2 Equations in one variable 21 Linear Equations 21 Quadratic Equations 22 1.3 Exercises 28 Chapter

More information

Solving simultaneous equations using the inverse matrix

Solving simultaneous equations using the inverse matrix Solving simultaneous equations using the inverse matrix 8.2 Introduction The power of matrix algebra is seen in the representation of a system of simultaneous linear equations as a matrix equation. Matrix

More information

ECE 842 Report Implementation of Elliptic Curve Cryptography

ECE 842 Report Implementation of Elliptic Curve Cryptography ECE 842 Report Implementation of Elliptic Curve Cryptography Wei-Yang Lin December 15, 2004 Abstract The aim of this report is to illustrate the issues in implementing a practical elliptic curve cryptographic

More information

Introduction to the Finite Element Method (FEM)

Introduction to the Finite Element Method (FEM) Introduction to the Finite Element Method (FEM) ecture First and Second Order One Dimensional Shape Functions Dr. J. Dean Discretisation Consider the temperature distribution along the one-dimensional

More information

On the representability of the bi-uniform matroid

On the representability of the bi-uniform matroid On the representability of the bi-uniform matroid Simeon Ball, Carles Padró, Zsuzsa Weiner and Chaoping Xing August 3, 2012 Abstract Every bi-uniform matroid is representable over all sufficiently large

More information

Math 1050 Khan Academy Extra Credit Algebra Assignment

Math 1050 Khan Academy Extra Credit Algebra Assignment Math 1050 Khan Academy Extra Credit Algebra Assignment KhanAcademy.org offers over 2,700 instructional videos, including hundreds of videos teaching algebra concepts, and corresponding problem sets. In

More information

the points are called control points approximating curve

the points are called control points approximating curve Chapter 4 Spline Curves A spline curve is a mathematical representation for which it is easy to build an interface that will allow a user to design and control the shape of complex curves and surfaces.

More information

Arithmetic and Algebra of Matrices

Arithmetic and Algebra of Matrices Arithmetic and Algebra of Matrices Math 572: Algebra for Middle School Teachers The University of Montana 1 The Real Numbers 2 Classroom Connection: Systems of Linear Equations 3 Rational Numbers 4 Irrational

More information

Overview. Essential Questions. Precalculus, Quarter 4, Unit 4.5 Build Arithmetic and Geometric Sequences and Series

Overview. Essential Questions. Precalculus, Quarter 4, Unit 4.5 Build Arithmetic and Geometric Sequences and Series Sequences and Series Overview Number of instruction days: 4 6 (1 day = 53 minutes) Content to Be Learned Write arithmetic and geometric sequences both recursively and with an explicit formula, use them

More information

Point Lattices in Computer Graphics and Visualization how signal processing may help computer graphics

Point Lattices in Computer Graphics and Visualization how signal processing may help computer graphics Point Lattices in Computer Graphics and Visualization how signal processing may help computer graphics Dimitri Van De Ville Ecole Polytechnique Fédérale de Lausanne Biomedical Imaging Group dimitri.vandeville@epfl.ch

More information

Math 202-0 Quizzes Winter 2009

Math 202-0 Quizzes Winter 2009 Quiz : Basic Probability Ten Scrabble tiles are placed in a bag Four of the tiles have the letter printed on them, and there are two tiles each with the letters B, C and D on them (a) Suppose one tile

More information

Operation Count; Numerical Linear Algebra

Operation Count; Numerical Linear Algebra 10 Operation Count; Numerical Linear Algebra 10.1 Introduction Many computations are limited simply by the sheer number of required additions, multiplications, or function evaluations. If floating-point

More information

FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS

FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS FUNDAMENTAL FINITE ELEMENT ANALYSIS AND APPLICATIONS With Mathematica and MATLAB Computations M. ASGHAR BHATTI WILEY JOHN WILEY & SONS, INC. CONTENTS OF THE BOOK WEB SITE PREFACE xi xiii 1 FINITE ELEMENT

More information

Selective Degree Elevation for Multi-Sided Bézier Patches

Selective Degree Elevation for Multi-Sided Bézier Patches EUROGRAPHICS 2015 / O. Sorkine-Hornung and M. Wimmer (Guest Editors) Volume 34 (2015), Number 2 Selective Degree Elevation for Multi-Sided Bézier Patches J. Smith 1 and S. Schaefer 1 1 Texas A&M University

More information

2x + y = 3. Since the second equation is precisely the same as the first equation, it is enough to find x and y satisfying the system

2x + y = 3. Since the second equation is precisely the same as the first equation, it is enough to find x and y satisfying the system 1. Systems of linear equations We are interested in the solutions to systems of linear equations. A linear equation is of the form 3x 5y + 2z + w = 3. The key thing is that we don t multiply the variables

More information

A gentle introduction to the Finite Element Method. Francisco Javier Sayas

A gentle introduction to the Finite Element Method. Francisco Javier Sayas A gentle introduction to the Finite Element Method Francisco Javier Sayas 2008 An introduction If you haven t been hiding under a stone during your studies of engineering, mathematics or physics, it is

More information

Generate Cryptographic key using generated 3D- Digital Image

Generate Cryptographic key using generated 3D- Digital Image Dr.Hala B. Abdul Wahab*, Dr.Suhad M. Kadhum* & Ekhlas K. Gbashi* Received on: 20/ 1 /2008 Accepted on: 4/9 /2008 Abstract Every few years, computer security has to re-invent itself. New technologies and

More information

FOREWORD. Executive Secretary

FOREWORD. Executive Secretary FOREWORD The Botswana Examinations Council is pleased to authorise the publication of the revised assessment procedures for the Junior Certificate Examination programme. According to the Revised National

More information

Natural cubic splines

Natural cubic splines Natural cubic splines Arne Morten Kvarving Department of Mathematical Sciences Norwegian University of Science and Technology October 21 2008 Motivation We are given a large dataset, i.e. a function sampled

More information

An Overview of the Finite Element Analysis

An Overview of the Finite Element Analysis CHAPTER 1 An Overview of the Finite Element Analysis 1.1 Introduction Finite element analysis (FEA) involves solution of engineering problems using computers. Engineering structures that have complex geometry

More information

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS

NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document

More information

How To Use Design Mentor

How To Use Design Mentor DesignMentor: A Pedagogical Tool for Computer Graphics and Computer Aided Design John L. Lowther and Ching Kuang Shene Programmers: Yuan Zhao and Yan Zhou (ver 1) Budirijanto Purnomo (ver 2) Michigan Technological

More information

Mathematics Online Instructional Materials Correlation to the 2009 Algebra I Standards of Learning and Curriculum Framework

Mathematics Online Instructional Materials Correlation to the 2009 Algebra I Standards of Learning and Curriculum Framework Provider York County School Division Course Syllabus URL http://yorkcountyschools.org/virtuallearning/coursecatalog.aspx Course Title Algebra I AB Last Updated 2010 - A.1 The student will represent verbal

More information

Piecewise Cubic Splines

Piecewise Cubic Splines 280 CHAP. 5 CURVE FITTING Piecewise Cubic Splines The fitting of a polynomial curve to a set of data points has applications in CAD (computer-assisted design), CAM (computer-assisted manufacturing), and

More information

The Essentials of CAGD

The Essentials of CAGD The Essentials of CAGD Chapter 2: Lines and Planes Gerald Farin & Dianne Hansford CRC Press, Taylor & Francis Group, An A K Peters Book www.farinhansford.com/books/essentials-cagd c 2000 Farin & Hansford

More information

Notes on Orthogonal and Symmetric Matrices MENU, Winter 2013

Notes on Orthogonal and Symmetric Matrices MENU, Winter 2013 Notes on Orthogonal and Symmetric Matrices MENU, Winter 201 These notes summarize the main properties and uses of orthogonal and symmetric matrices. We covered quite a bit of material regarding these topics,

More information

8.2. Solution by Inverse Matrix Method. Introduction. Prerequisites. Learning Outcomes

8.2. Solution by Inverse Matrix Method. Introduction. Prerequisites. Learning Outcomes Solution by Inverse Matrix Method 8.2 Introduction The power of matrix algebra is seen in the representation of a system of simultaneous linear equations as a matrix equation. Matrix algebra allows us

More information

Calculation of Eigenfields for the European XFEL Cavities

Calculation of Eigenfields for the European XFEL Cavities Calculation of Eigenfields for the European XFEL Cavities Wolfgang Ackermann, Erion Gjonaj, Wolfgang F. O. Müller, Thomas Weiland Institut Theorie Elektromagnetischer Felder, TU Darmstadt Status Meeting

More information

Time Series Analysis. 1) smoothing/trend assessment

Time Series Analysis. 1) smoothing/trend assessment Time Series Analysis This (not surprisingly) concerns the analysis of data collected over time... weekly values, monthly values, quarterly values, yearly values, etc. Usually the intent is to discern whether

More information

Joint models for classification and comparison of mortality in different countries.

Joint models for classification and comparison of mortality in different countries. Joint models for classification and comparison of mortality in different countries. Viani D. Biatat 1 and Iain D. Currie 1 1 Department of Actuarial Mathematics and Statistics, and the Maxwell Institute

More information

Math Common Core Sampler Test

Math Common Core Sampler Test High School Algebra Core Curriculum Math Test Math Common Core Sampler Test Our High School Algebra sampler covers the twenty most common questions that we see targeted for this level. For complete tests

More information

Trend and Seasonal Components

Trend and Seasonal Components Chapter 2 Trend and Seasonal Components If the plot of a TS reveals an increase of the seasonal and noise fluctuations with the level of the process then some transformation may be necessary before doing

More information

How To Understand And Solve Algebraic Equations

How To Understand And Solve Algebraic Equations College Algebra Course Text Barnett, Raymond A., Michael R. Ziegler, and Karl E. Byleen. College Algebra, 8th edition, McGraw-Hill, 2008, ISBN: 978-0-07-286738-1 Course Description This course provides

More information

POLYNOMIAL FUNCTIONS

POLYNOMIAL FUNCTIONS POLYNOMIAL FUNCTIONS Polynomial Division.. 314 The Rational Zero Test.....317 Descarte s Rule of Signs... 319 The Remainder Theorem.....31 Finding all Zeros of a Polynomial Function.......33 Writing a

More information

ALGEBRA. sequence, term, nth term, consecutive, rule, relationship, generate, predict, continue increase, decrease finite, infinite

ALGEBRA. sequence, term, nth term, consecutive, rule, relationship, generate, predict, continue increase, decrease finite, infinite ALGEBRA Pupils should be taught to: Generate and describe sequences As outcomes, Year 7 pupils should, for example: Use, read and write, spelling correctly: sequence, term, nth term, consecutive, rule,

More information

The Characteristic Polynomial

The Characteristic Polynomial Physics 116A Winter 2011 The Characteristic Polynomial 1 Coefficients of the characteristic polynomial Consider the eigenvalue problem for an n n matrix A, A v = λ v, v 0 (1) The solution to this problem

More information

General Framework for an Iterative Solution of Ax b. Jacobi s Method

General Framework for an Iterative Solution of Ax b. Jacobi s Method 2.6 Iterative Solutions of Linear Systems 143 2.6 Iterative Solutions of Linear Systems Consistent linear systems in real life are solved in one of two ways: by direct calculation (using a matrix factorization,

More information

Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks

Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks Welcome to Thinkwell s Homeschool Precalculus! We re thrilled that you ve decided to make us part of your homeschool curriculum. This lesson

More information

INTERPOLATION. Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y).

INTERPOLATION. Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y). INTERPOLATION Interpolation is a process of finding a formula (often a polynomial) whose graph will pass through a given set of points (x, y). As an example, consider defining and x 0 =0, x 1 = π 4, x

More information

Math 120 Final Exam Practice Problems, Form: A

Math 120 Final Exam Practice Problems, Form: A Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,

More information

How To Write An Isgeometric Finite Element Analysis

How To Write An Isgeometric Finite Element Analysis NTNU Norwegian University of Science and Technology Faculty of Information Technology, Mathematics and Electrical Engineering MASTER S THESIS for stud.techn. Kjetil André Johannessen Faculty of Information

More information

Application. Outline. 3-1 Polynomial Functions 3-2 Finding Rational Zeros of. Polynomial. 3-3 Approximating Real Zeros of.

Application. Outline. 3-1 Polynomial Functions 3-2 Finding Rational Zeros of. Polynomial. 3-3 Approximating Real Zeros of. Polynomial and Rational Functions Outline 3-1 Polynomial Functions 3-2 Finding Rational Zeros of Polynomials 3-3 Approximating Real Zeros of Polynomials 3-4 Rational Functions Chapter 3 Group Activity:

More information

Solution of Linear Systems

Solution of Linear Systems Chapter 3 Solution of Linear Systems In this chapter we study algorithms for possibly the most commonly occurring problem in scientific computing, the solution of linear systems of equations. We start

More information

Intermediate Math Circles March 7, 2012 Linear Diophantine Equations II

Intermediate Math Circles March 7, 2012 Linear Diophantine Equations II Intermediate Math Circles March 7, 2012 Linear Diophantine Equations II Last week: How to find one solution to a linear Diophantine equation This week: How to find all solutions to a linear Diophantine

More information

Introduction Week 1, Lecture 1

Introduction Week 1, Lecture 1 CS 430/536 Computer Graphics I Introduction Week 1, Lecture 1 David Breen, William Regli and Maxim Peysakhov Geometric and Intelligent Computing Laboratory Department of Computer Science Drexel University

More information

THE NUMBER OF GRAPHS AND A RANDOM GRAPH WITH A GIVEN DEGREE SEQUENCE. Alexander Barvinok

THE NUMBER OF GRAPHS AND A RANDOM GRAPH WITH A GIVEN DEGREE SEQUENCE. Alexander Barvinok THE NUMBER OF GRAPHS AND A RANDOM GRAPH WITH A GIVEN DEGREE SEQUENCE Alexer Barvinok Papers are available at http://www.math.lsa.umich.edu/ barvinok/papers.html This is a joint work with J.A. Hartigan

More information

Integer Operations. Overview. Grade 7 Mathematics, Quarter 1, Unit 1.1. Number of Instructional Days: 15 (1 day = 45 minutes) Essential Questions

Integer Operations. Overview. Grade 7 Mathematics, Quarter 1, Unit 1.1. Number of Instructional Days: 15 (1 day = 45 minutes) Essential Questions Grade 7 Mathematics, Quarter 1, Unit 1.1 Integer Operations Overview Number of Instructional Days: 15 (1 day = 45 minutes) Content to Be Learned Describe situations in which opposites combine to make zero.

More information

MATHEMATICS FOR ENGINEERING BASIC ALGEBRA

MATHEMATICS FOR ENGINEERING BASIC ALGEBRA MATHEMATICS FOR ENGINEERING BASIC ALGEBRA TUTORIAL 3 EQUATIONS This is the one of a series of basic tutorials in mathematics aimed at beginners or anyone wanting to refresh themselves on fundamentals.

More information

NURBS Drawing Week 5, Lecture 10

NURBS Drawing Week 5, Lecture 10 CS 430/536 Computer Graphics I NURBS Drawing Week 5, Lecture 10 David Breen, William Regli and Maxim Peysakhov Geometric and Intelligent Computing Laboratory Department of Computer Science Drexel University

More information

A Optimized Code Generation for Finite Element Local Assembly Using Symbolic Manipulation

A Optimized Code Generation for Finite Element Local Assembly Using Symbolic Manipulation A Optimized Code Generation for Finite Element Local Assembly Using Symbolic Manipulation FRANCIS P. RUSSELL, Imperial College London PAUL H. J. KELLY, Imperial College London Automated code generators

More information

c 2007 Society for Industrial and Applied Mathematics

c 2007 Society for Industrial and Applied Mathematics SIAM J. SCI. COMPUT. Vol. 29, No. 3, pp. 338 354 c 27 Society for Industrial and Applied Mathematics BIVARIATE SPLINES OF VARIOUS DEGREES FOR NUMERICAL SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS XIAN-LIANG

More information

PERFORMANCE OF BÉZIER CURVES RENDERING IN WEB BROWSERS

PERFORMANCE OF BÉZIER CURVES RENDERING IN WEB BROWSERS PERFORMANCE OF BÉZIER CURVES RENDERING IN WEB BROWSERS Abstract By Ammar Hattab APMA2821Q Project Report Prof. Mark Ainsworth Spring 2013 Brown University Bézier curves are used everywhere in graphics,

More information

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions.

This unit will lay the groundwork for later units where the students will extend this knowledge to quadratic and exponential functions. Algebra I Overview View unit yearlong overview here Many of the concepts presented in Algebra I are progressions of concepts that were introduced in grades 6 through 8. The content presented in this course

More information

096 Professional Readiness Examination (Mathematics)

096 Professional Readiness Examination (Mathematics) 096 Professional Readiness Examination (Mathematics) Effective after October 1, 2013 MI-SG-FLD096M-02 TABLE OF CONTENTS PART 1: General Information About the MTTC Program and Test Preparation OVERVIEW

More information

Mean Value Coordinates

Mean Value Coordinates Mean Value Coordinates Michael S. Floater Abstract: We derive a generalization of barycentric coordinates which allows a vertex in a planar triangulation to be expressed as a convex combination of its

More information

Algebra 1 Course Title

Algebra 1 Course Title Algebra 1 Course Title Course- wide 1. What patterns and methods are being used? Course- wide 1. Students will be adept at solving and graphing linear and quadratic equations 2. Students will be adept

More information

3. Interpolation. Closing the Gaps of Discretization... Beyond Polynomials

3. Interpolation. Closing the Gaps of Discretization... Beyond Polynomials 3. Interpolation Closing the Gaps of Discretization... Beyond Polynomials Closing the Gaps of Discretization... Beyond Polynomials, December 19, 2012 1 3.3. Polynomial Splines Idea of Polynomial Splines

More information

How To Draw A 3D Virtual World In 3D Space (Computer Graphics)

How To Draw A 3D Virtual World In 3D Space (Computer Graphics) 2 Computer Graphics What You Will Learn: The objectives of this chapter are quite ambitious; you should refer to the references cited in each Section to get a deeper explanation of the topics presented.

More information

Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours

Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours MAT 051 Pre-Algebra Mathematics (MAT) MAT 051 is designed as a review of the basic operations of arithmetic and an introduction to algebra. The student must earn a grade of C or in order to enroll in MAT

More information

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2.

a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x 2 + + a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 1.1 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,..., a n, b are given

More information

A Novel Fourier Transform B-spline Method for Option Pricing*

A Novel Fourier Transform B-spline Method for Option Pricing* A Novel Fourier Transform B-spline Method for Option Pricing* Paper available from SSRN: http://ssrn.com/abstract=2269370 Gareth G. Haslip, FIA PhD Cass Business School, City University London October

More information