du(l) 5 dl = U(0) = 1 and 1.) Substitute for U an unspecified trial function into governing equation, i.e. dx + = =
|
|
- Baldwin Skinner
- 5 years ago
- Views:
Transcription
1 Consider an ODE of te form: Finite Element Metod du fu g d + wit te following Boundary Conditions: U(0) and du(l) 5 dl.) Substitute for U an unspecified trial function into governing equation, i.e. ^ U U U n d U fu g R 0 for, n d + were n umber of nodes in system (or, locally, in element). U Unknown coefficients (to be determined), wic are not a function of space, in general. Known (user-specified) Basis function, wic are a function of space, but not a function of time, in general. ME 55 Finite Element Procedure (Skeleton) (Sullivan)
2 .) Force te Residual to zero in te global sense, i.e. satisfy te governing equation in te "weak form". a.) Multiply by a Weigting function: W n Wi i d i+ i i i U W fu W gw R W d for, i, n (independently) were W i Known (user-specified) Weigt function. b.) Integrate (take inner product) over global domain and force to zero. Definition of an Inner Product: f() g() f g d RWd 0 Implies tat W is ortogonal to R < ( ) > ()d or ()da or ()dv (dimensionally dependent) d i i i i U W + fu W gw R W 0 d If you can solve tis equation ten you ave solved te governing equations, at least in te weak form. ME 55 Finite Element Procedure (Skeleton) (Sullivan)
3 3.) Discretize global domain into subdomains (Elements) suc tat Σ (Elements) contiguous, non-overlapping representation of te global domain. #of Elem () () E E 4.) Select a basis function for U - a few elpful ints in tis selection are a.) select an ortogonal series basis function b.) coose a computationally efficient series E. Lagrange Polynomials applied locally on eac element n ( i) i ; n # nodes in element i ( i) 0 for all nodes not in element Assume Linear Element ( ) ( ) ( ) ( ) E Ν Ν ( ) ( ) ( ) E Ν X X ME 55 Finite Element Procedure (Skeleton) (Sullivan) 3
4 Integration Formulae for -D Linear Elements d d d d ( anyting ) ( anyting) d d d a ( ) a( ) a( ) d d and d d a ( ) a( ) a( ) d d ME 55 Finite Element Procedure (Skeleton) (Sullivan) 4
5 Assume Quadratic Element ( 3) ( )( ) 3 ( )( 3 ) ( )( 3) ( )( ) 3 3 ( )( ) ( )( ) 3 3 Ν Ν Ν Ν 3 X X X 3 ME 55 Finite Element Procedure (Skeleton) (Sullivan) 5
6 5.) Integration by parts: Required for nd order PDEs using linear basis functions; Provides a direct means to apply Boundary Conditions u dv uv v du (more generally) div(f) dv F n ds Ω S d d dw d i L W i + Wi 0 d d d d more generally, W W ( n)w ds i i + i Adding in te oter components of te ODE yields: d dw d U + f U W gw U W d d d i i i i L 0 6.) Select Weigting functions E: Coose "Galerkin" Wk k (However, for clarity retain te W symbol. It will elp wen assembling matrices later.) ote tat for eac weigting function, W i, one must assemble all contributions from eac basis function. ME 55 Finite Element Procedure (Skeleton) (Sullivan) 6
7 7.) Assemble Matrices consider only elements, and assemble all components associated wit Row I (for W i ): Ν i - Ν i Ν i + i - i i + One row of equations for eac W i ote: te local definitions of Trial and Weigting functions W 0 for all < i W 0 for all > i+ Refer to te Integration Table for all possible combinations of linear basis functions. ME 55 Finite Element Procedure (Skeleton) (Sullivan) 7
8 for row i only contributions from (i ) (i + ) d d dw d Left Elem i i Rigt Elem + 0 di dwi d d + + di+ dwi 0 + d d W 6 i i W i i i + Wi W i + + ME 55 Finite Element Procedure (Skeleton) (Sullivan) 8
9 Assembly of row I U ( + )U + U i i i+ + f Ui + f Ui+ f Ui d d L g U Wi 0 If uniform spacing ten f U U + U + U + 4U + U g ( ) ( ) i i i+ i i i+ 6 δ Ui + f 6 ote te similarities to F.D. Simpson s Rule g In general, we are forming an epression [ ]{ } { } d L A U Rs U Wi 0 d dw d i L + fw i { U } { gwi } + U Wi 0 d d d d ME 55 Finite Element Procedure (Skeleton) (Sullivan) 9
10 In a FE code: Loop over eac element and assemble te local (elemental) contributions for te Ls matri [A] and te Rs vector. After tis loop is completed, ten (and only ten) apply te boundary conditions to te set of equations. FE codes contain a lot of bookkeeping. One common mapping array is te element connectivity (or Incidence) list. It as te form: I(K,L) were L Element umber, L, E ( and E umber of Elements) K Local ode umber, K,, to te number of nodes in an element. I(K,L) global node number ( maps global node number to te local node number witin element L) ME 55 Finite Element Procedure (Skeleton) (Sullivan) 0
11 Consider te following -D eample: Element umbers Global ode umbers X L Te Element number can ave significance if using a frontal matri solver. Te ode numbering can ave significance if using a banded matri solver. ode and Element numberings ave less significance if using a sparse, iterative matri solver. Te mapping for tis eample is: I(,) 3 I(,) I(,) 4 I(,) 6 I(,3) I(,3) 4 I(,4) 7 I(,4) I(,5) 5 I(,5) 7 I(,6) 6 I(,6) 5 Te FE approimation to te governing equation is accumulated (summed) in 3 nested loops (L, I, and J) ME 55 Finite Element Procedure (Skeleton) (Sullivan)
12 for L : E (Loop over all elements) (in(,l)) (in(,l)); (Calculate element lengt) for I : (Loop for all Weigting Functions) dwd (/); if (I ) dwd - dwd; for J, (Loop for all Trial Functions) dd (/); if (J ) dd - dd; term - dd * dwd * ; term f * /6; if (I J) term * term; AL(J, I) term + term; (Local construction) Irow I(I,L); (Global Mapping) Jcol I(J,L); AG(Jcol, Irow) + AG(Jcol, Irow) + AL(J, I); (Global Matri Construction) End (End of J loop) Rs(Irow) Rs(Irow) + g * /; (Rs Construction) End (End of I loop) End (Finised wit all Elements) Everyting done at te element level! Easy to automate a) One Element (problem-specific) b) Assembly (problem-independent) ME 55 Finite Element Procedure (Skeleton) (Sullivan)
13 8) Add in te Boundary Conditions Element umbers Global ode umbers X L a.) Type BC : Satisfy Eactly U(0) (ote tis is at global node number 3 for our eample.) One less unknown in algebraic system. Remove row_3 and ten move column_3 of matri to Rs since it is known (not usually done, but possible) U Rs a a a a a a U Rs,,,3,4,,3 a a a a a a,,,3,4,,3 a a a a a U Rs 3 a 3, 3, 3,3 3,4 3, 4 4 4,3 a a a a a 4, 4, 4,3 4,4 4, a a a a a U Rs,,,3,4, U a,3 Tis process is somewat cumbersome. It can cange te bandwidt or structure of your system. It can cause oter solution-solving anomalies if one is not careful. ME 55 Finite Element Procedure (Skeleton) (Sullivan) 3
14 Cleaner process: Remove row 3 completely, i.e. place zeros in all entries. Ten place a on diagonal of [A] Put te solution (i.e. U(0)) into te Rs a a a a a,,,3,4, U Rs a a a a a U Rs U,,,3,4, U 3, 3, 3,3 3,4 3, 3 3 a a a a a U 4, 4, 4,3 4,4 4, 4 U a a a a a,,,3,4, Rs Rs Value 4 b.) Type II B.C. Satisfy approimately in {BCs} vector. Recall: du(l) 5 and for node (in our eample) te flu at dl d du(l) te boundary is 5. Also note: U Wi 5 d dl At te boundary node W i for I (global) and W i 0 for all oter nodes. Terefore to apply Type II Boundary Conditions in our eample: Rs() Rs() 5; Te entire formulation is complete. Call a matri solver and obtain te solutions for U. ME 55 Finite Element Procedure (Skeleton) (Sullivan) 4
MATH1151 Calculus Test S1 v2a
MATH5 Calculus Test 8 S va January 8, 5 Tese solutions were written and typed up by Brendan Trin Please be etical wit tis resource It is for te use of MatSOC members, so do not repost it on oter forums
More informationIntegral Calculus, dealing with areas and volumes, and approximate areas under and between curves.
Calculus can be divided into two ke areas: Differential Calculus dealing wit its, rates of cange, tangents and normals to curves, curve sketcing, and applications to maima and minima problems Integral
More information5.1 We will begin this section with the definition of a rational expression. We
Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go
More informationNumerical Differentiation
Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function
More informationChapter 4 Derivatives [ ] = ( ) ( )= + ( ) + + = ()= + ()+ Exercise 4.1. Review of Prerequisite Skills. 1. f. 6. d. 4. b. lim. x x. = lim = c.
Capter Derivatives Review of Prerequisite Skills. f. p p p 7 9 p p p Eercise.. i. ( a ) a ( b) a [ ] b a b ab b a. d. f. 9. c. + + ( ) ( + ) + ( + ) ( + ) ( + ) + + + + ( ) ( + ) + + ( ) ( ) ( + ) + 7
More informationLECTURE 14 NUMERICAL INTEGRATION. Find
LECTURE 14 NUMERCAL NTEGRATON Find b a fxdx or b a vx ux fx ydy dx Often integration is required. However te form of fx may be suc tat analytical integration would be very difficult or impossible. Use
More informationNumerical Analysis MTH603. dy dt = = (0) , y n+1. We obtain yn. Therefore. and. Copyright Virtual University of Pakistan 1
Numerical Analysis MTH60 PREDICTOR CORRECTOR METHOD Te metods presented so far are called single-step metods, were we ave seen tat te computation of y at t n+ tat is y n+ requires te knowledge of y n only.
More information232 Calculus and Structures
3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE
More information158 Calculus and Structures
58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you
More informationChapter 1D - Rational Expressions
- Capter 1D Capter 1D - Rational Expressions Definition of a Rational Expression A rational expression is te quotient of two polynomials. (Recall: A function px is a polynomial in x of degree n, if tere
More informationHOMEWORK HELP 2 FOR MATH 151
HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,
More informationPoisson Equation in Sobolev Spaces
Poisson Equation in Sobolev Spaces OcMountain Dayligt Time. 6, 011 Today we discuss te Poisson equation in Sobolev spaces. It s existence, uniqueness, and regularity. Weak Solution. u = f in, u = g on
More informationExercise 19 - OLD EXAM, FDTD
Exercise 19 - OLD EXAM, FDTD A 1D wave propagation may be considered by te coupled differential equations u x + a v t v x + b u t a) 2 points: Derive te decoupled differential equation and give c in terms
More informationLecture 10: Carnot theorem
ecture 0: Carnot teorem Feb 7, 005 Equivalence of Kelvin and Clausius formulations ast time we learned tat te Second aw can be formulated in two ways. e Kelvin formulation: No process is possible wose
More informationPolynomials 3: Powers of x 0 + h
near small binomial Capter 17 Polynomials 3: Powers of + Wile it is easy to compute wit powers of a counting-numerator, it is a lot more difficult to compute wit powers of a decimal-numerator. EXAMPLE
More informationMTH 119 Pre Calculus I Essex County College Division of Mathematics Sample Review Questions 1 Created April 17, 2007
MTH 9 Pre Calculus I Essex County College Division of Matematics Sample Review Questions Created April 7, 007 At Essex County College you sould be prepared to sow all work clearly and in order, ending
More informationSection 3.1: Derivatives of Polynomials and Exponential Functions
Section 3.1: Derivatives of Polynomials and Exponential Functions In previous sections we developed te concept of te derivative and derivative function. Te only issue wit our definition owever is tat it
More informationLIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT
LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as
More informationSimpson s 1/3 Rule Simpson s 1/3 rule assumes 3 equispaced data/interpolation/integration points
CE 05 - Lecture 5 LECTURE 5 UMERICAL ITEGRATIO COTIUED Simpson s / Rule Simpson s / rule assumes equispaced data/interpolation/integration points Te integration rule is based on approximating fx using
More informationPreface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.
Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser
More informationINTRODUCTION TO CALCULUS LIMITS
Calculus can be divided into two ke areas: INTRODUCTION TO CALCULUS Differential Calculus dealing wit its, rates of cange, tangents and normals to curves, curve sketcing, and applications to maima and
More informationREVIEW SHEET 1 SOLUTIONS ( ) ( ) ( ) x 2 ( ) t + 2. t x +1. ( x 2 + x +1 + x 2 # x ) 2 +1 x ( 1 +1 x +1 x #1 x ) = 2 2 = 1
REVIEW SHEET SOLUTIONS Limit Concepts and Problems + + + e sin t + t t + + + + + e sin t + t t e cos t + + t + + + + + + + + + + + + + t + + t + t t t + + + + + + + + + + + + + + + + t + + a b c - d DNE
More informationPractice Problem Solutions: Exam 1
Practice Problem Solutions: Exam 1 1. (a) Algebraic Solution: Te largest term in te numerator is 3x 2, wile te largest term in te denominator is 5x 2 3x 2 + 5. Tus lim x 5x 2 2x 3x 2 x 5x 2 = 3 5 Numerical
More informationThe Derivative as a Function
Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )
More informationlim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus
Syllabus Objectives: 1.1 Te student will understand and apply te concept of te limit of a function at given values of te domain. 1. Te student will find te limit of a function at given values of te domain.
More informationSolutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014
Solutions to te Multivariable Calculus and Linear Algebra problems on te Compreensive Examination of January 3, 24 Tere are 9 problems ( points eac, totaling 9 points) on tis portion of te examination.
More informationDerivatives of Exponentials
mat 0 more on derivatives: day 0 Derivatives of Eponentials Recall tat DEFINITION... An eponential function as te form f () =a, were te base is a real number a > 0. Te domain of an eponential function
More information3.4 Algebraic Limits. Ex 1) lim. Ex 2)
Calculus Maimus.4 Algebraic Limits At tis point, you sould be very comfortable finding its bot grapically and numerically wit te elp of your graping calculator. Now it s time to practice finding its witout
More informationA h u h = f h. 4.1 The CoarseGrid SystemandtheResidual Equation
Capter Grid Transfer Remark. Contents of tis capter. Consider a grid wit grid size and te corresponding linear system of equations A u = f. Te summary given in Section 3. leads to te idea tat tere migt
More informationLIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION
LIMITATIONS OF EULER S METHOD FOR NUMERICAL INTEGRATION LAURA EVANS.. Introduction Not all differential equations can be explicitly solved for y. Tis can be problematic if we need to know te value of y
More information1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point
MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note
More information2.3 Product and Quotient Rules
.3. PRODUCT AND QUOTIENT RULES 75.3 Product and Quotient Rules.3.1 Product rule Suppose tat f and g are two di erentiable functions. Ten ( g (x)) 0 = f 0 (x) g (x) + g 0 (x) See.3.5 on page 77 for a proof.
More informationRecall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if
Computational Aspects of its. Keeping te simple simple. Recall by elementary functions we mean :Polynomials (including linear and quadratic equations) Eponentials Logaritms Trig Functions Rational Functions
More informationBrief Review of Vector Calculus
Darc s Law in 3D Toda Vector Calculus Darc s Law in 3D q " A scalar as onl a magnitude A vector is caracteried b bot direction and magnitude. e.g, g, q, v,"," Vectors are represented b : boldface in boos,
More information5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems
5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we
More informationChapter Seven The Quantum Mechanical Simple Harmonic Oscillator
Capter Seven Te Quantum Mecanical Simple Harmonic Oscillator Introduction Te potential energy function for a classical, simple armonic oscillator is given by ZÐBÑ œ 5B were 5 is te spring constant. Suc
More informationMass Lumping for Constant Density Acoustics
Lumping 1 Mass Lumping for Constant Density Acoustics William W. Symes ABSTRACT Mass lumping provides an avenue for efficient time-stepping of time-dependent problems wit conforming finite element spatial
More informationFinding and Using Derivative The shortcuts
Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex
More information= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c)
Paper 1: Pure Matematics 1 Mark Sceme 1(a) (i) (ii) d d y 3 1x 4x x M1 A1 d y dx 1.1b 1.1b 36x 48x A1ft 1.1b Substitutes x = into teir dx (3) 3 1 4 Sows d y 0 and states ''ence tere is a stationary point''
More informationWYSE Academic Challenge 2004 Sectional Mathematics Solution Set
WYSE Academic Callenge 00 Sectional Matematics Solution Set. Answer: B. Since te equation can be written in te form x + y, we ave a major 5 semi-axis of lengt 5 and minor semi-axis of lengt. Tis means
More informationMATH745 Fall MATH745 Fall
MATH745 Fall 5 MATH745 Fall 5 INTRODUCTION WELCOME TO MATH 745 TOPICS IN NUMERICAL ANALYSIS Instructor: Dr Bartosz Protas Department of Matematics & Statistics Email: bprotas@mcmasterca Office HH 36, Ext
More informationChapter 2 Limits and Continuity
4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(
More informationN igerian Journal of M athematics and Applications V olume 23, (2014), 1 13
N igerian Journal of M atematics and Applications V olume 23, (24), 3 c N ig. J. M at. Appl. ttp : //www.kwsman.com CONSTRUCTION OF POLYNOMIAL BASIS AND ITS APPLICATION TO ORDINARY DIFFERENTIAL EQUATIONS
More informationpancakes. A typical pancake also appears in the sketch above. The pancake at height x (which is the fraction x of the total height of the cone) has
Volumes One can epress volumes of regions in tree dimensions as integrals using te same strateg as we used to epress areas of regions in two dimensions as integrals approimate te region b a union of small,
More information4.2 - Richardson Extrapolation
. - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence
More informationUniversity Mathematics 2
University Matematics 2 1 Differentiability In tis section, we discuss te differentiability of functions. Definition 1.1 Differentiable function). Let f) be a function. We say tat f is differentiable at
More informationDifferential Calculus (The basics) Prepared by Mr. C. Hull
Differential Calculus Te basics) A : Limits In tis work on limits, we will deal only wit functions i.e. tose relationsips in wic an input variable ) defines a unique output variable y). Wen we work wit
More informationPolynomial Functions. Linear Functions. Precalculus: Linear and Quadratic Functions
Concepts: definition of polynomial functions, linear functions tree representations), transformation of y = x to get y = mx + b, quadratic functions axis of symmetry, vertex, x-intercepts), transformations
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc
More informationIEOR 165 Lecture 10 Distribution Estimation
IEOR 165 Lecture 10 Distribution Estimation 1 Motivating Problem Consider a situation were we ave iid data x i from some unknown distribution. One problem of interest is estimating te distribution tat
More informationFlavius Guiaş. X(t + h) = X(t) + F (X(s)) ds.
Numerical solvers for large systems of ordinary differential equations based on te stocastic direct simulation metod improved by te and Runge Kutta principles Flavius Guiaş Abstract We present a numerical
More informationCombining functions: algebraic methods
Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)
More informationChapter 5 FINITE DIFFERENCE METHOD (FDM)
MEE7 Computer Modeling Tecniques in Engineering Capter 5 FINITE DIFFERENCE METHOD (FDM) 5. Introduction to FDM Te finite difference tecniques are based upon approximations wic permit replacing differential
More informationLogarithmic functions
Roberto s Notes on Differential Calculus Capter 5: Derivatives of transcendental functions Section Derivatives of Logaritmic functions Wat ou need to know alread: Definition of derivative and all basic
More information= h. Geometrically this quantity represents the slope of the secant line connecting the points
Section 3.7: Rates of Cange in te Natural and Social Sciences Recall: Average rate of cange: y y y ) ) ), ere Geometrically tis quantity represents te slope of te secant line connecting te points, f (
More informationSolving Continuous Linear Least-Squares Problems by Iterated Projection
Solving Continuous Linear Least-Squares Problems by Iterated Projection by Ral Juengling Department o Computer Science, Portland State University PO Box 75 Portland, OR 977 USA Email: juenglin@cs.pdx.edu
More informationImproved Rotated Finite Difference Method for Solving Fractional Elliptic Partial Differential Equations
American Scientific Researc Journal for Engineering, Tecnolog, and Sciences (ASRJETS) ISSN (Print) 33-44, ISSN (Online) 33-44 Global Societ of Scientific Researc and Researcers ttp://asrjetsjournal.org/
More information4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.
Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra
More informationWe name Functions f (x) or g(x) etc.
Section 2 1B: Function Notation Bot of te equations y 2x +1 and y 3x 2 are functions. It is common to ave two or more functions in terms of x in te same problem. If I ask you wat is te value for y if x
More informationPolynomial Interpolation
Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x
More informationMATH1131/1141 Calculus Test S1 v8a
MATH/ Calculus Test 8 S v8a October, 7 Tese solutions were written by Joann Blanco, typed by Brendan Trin and edited by Mattew Yan and Henderson Ko Please be etical wit tis resource It is for te use of
More informationMath 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006
Mat 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006 f(x+) f(x) 10 1. For f(x) = x 2 + 2x 5, find ))))))))) and simplify completely. NOTE: **f(x+) is NOT f(x)+! f(x+) f(x) (x+) 2 + 2(x+) 5 ( x 2
More informationLines, Conics, Tangents, Limits and the Derivative
Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt
More informationPre-Calculus Review Preemptive Strike
Pre-Calculus Review Preemptive Strike Attaced are some notes and one assignment wit tree parts. Tese are due on te day tat we start te pre-calculus review. I strongly suggest reading troug te notes torougly
More informationA Finite Element Primer
A Finite Element Primer David J. Silvester Scool of Matematics, University of Mancester d.silvester@mancester.ac.uk. Version.3 updated 4 October Contents A Model Diffusion Problem.................... x.
More informationChapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1
Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c
More informationFinancial Econometrics Prof. Massimo Guidolin
CLEFIN A.A. 2010/2011 Financial Econometrics Prof. Massimo Guidolin A Quick Review of Basic Estimation Metods 1. Were te OLS World Ends... Consider two time series 1: = { 1 2 } and 1: = { 1 2 }. At tis
More informationHow to Find the Derivative of a Function: Calculus 1
Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te
More information3.1 Extreme Values of a Function
.1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find
More informationSFU UBC UNBC Uvic Calculus Challenge Examination June 5, 2008, 12:00 15:00
SFU UBC UNBC Uvic Calculus Callenge Eamination June 5, 008, :00 5:00 Host: SIMON FRASER UNIVERSITY First Name: Last Name: Scool: Student signature INSTRUCTIONS Sow all your work Full marks are given only
More informationDifferentiation in higher dimensions
Capter 2 Differentiation in iger dimensions 2.1 Te Total Derivative Recall tat if f : R R is a 1-variable function, and a R, we say tat f is differentiable at x = a if and only if te ratio f(a+) f(a) tends
More informationContinuity and Differentiability Worksheet
Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;
More information(4.2) -Richardson Extrapolation
(.) -Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Suppose tat lim G 0 and lim F L. Te function F is said to converge to L as
More informationSection 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is
Mat 180 www.timetodare.com Section.7 Derivatives and Rates of Cange Part II Section.8 Te Derivative as a Function Derivatives ( ) In te previous section we defined te slope of te tangent to a curve wit
More informationEigenvalues for Triangular Matrices. ENGI 7825: Linear Algebra Review Finding Eigenvalues and Diagonalization
Eigenvalues for Triangular Matrices ENGI 78: Linear Algebra Review Finding Eigenvalues and Diagonalization Adapted from Notes Developed by Martin Scharlemann June 7, 04 The eigenvalues for a triangular
More informationIntroduction to Multigrid Method
Introduction to Multigrid Metod Presented by: Bogojeska Jasmina /08/005 JASS, 005, St. Petersburg 1 Te ultimate upsot of MLAT Te amount of computational work sould be proportional to te amount of real
More informationDedicated to the 70th birthday of Professor Lin Qun
Journal of Computational Matematics, Vol.4, No.3, 6, 4 44. ACCELERATION METHODS OF NONLINEAR ITERATION FOR NONLINEAR PARABOLIC EQUATIONS Guang-wei Yuan Xu-deng Hang Laboratory of Computational Pysics,
More informationSection 2.4: Definition of Function
Section.4: Definition of Function Objectives Upon completion of tis lesson, you will be able to: Given a function, find and simplify a difference quotient: f ( + ) f ( ), 0 for: o Polynomial functions
More information2.8 The Derivative as a Function
.8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open
More informationDifferential Equations
Pysics-based simulation xi Differential Equations xi+1 xi xi+1 xi + x x Pysics-based simulation xi Wat is a differential equation? Differential equations describe te relation between an unknown function
More informationThe derivative function
Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative
More informationThe total error in numerical differentiation
AMS 147 Computational Metods and Applications Lecture 08 Copyrigt by Hongyun Wang, UCSC Recap: Loss of accuracy due to numerical cancellation A B 3, 3 ~10 16 In calculating te difference between A and
More informationContinuity. Example 1
Continuity MATH 1003 Calculus and Linear Algebra (Lecture 13.5) Maoseng Xiong Department of Matematics, HKUST A function f : (a, b) R is continuous at a point c (a, b) if 1. x c f (x) exists, 2. f (c)
More informationINTRODUCTION AND MATHEMATICAL CONCEPTS
INTODUCTION ND MTHEMTICL CONCEPTS PEVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips of sine,
More informationLab 6 Derivatives and Mutant Bacteria
Lab 6 Derivatives and Mutant Bacteria Date: September 27, 20 Assignment Due Date: October 4, 20 Goal: In tis lab you will furter explore te concept of a derivative using R. You will use your knowledge
More informationRunge-Kutta methods. With orders of Taylor methods yet without derivatives of f (t, y(t))
Runge-Kutta metods Wit orders of Taylor metods yet witout derivatives of f (t, y(t)) First order Taylor expansion in two variables Teorem: Suppose tat f (t, y) and all its partial derivatives are continuous
More informationMore on generalized inverses of partitioned matrices with Banachiewicz-Schur forms
More on generalized inverses of partitioned matrices wit anaciewicz-scur forms Yongge Tian a,, Yosio Takane b a Cina Economics and Management cademy, Central University of Finance and Economics, eijing,
More informationDifferentiation. Area of study Unit 2 Calculus
Differentiation 8VCE VCEco Area of stud Unit Calculus coverage In tis ca 8A 8B 8C 8D 8E 8F capter Introduction to limits Limits of discontinuous, rational and brid functions Differentiation using first
More informationSIMG Solution Set #5
SIMG-303-0033 Solution Set #5. Describe completely te state of polarization of eac of te following waves: (a) E [z,t] =ˆxE 0 cos [k 0 z ω 0 t] ŷe 0 cos [k 0 z ω 0 t] Bot components are traveling down te
More informationPhysically Based Modeling: Principles and Practice Implicit Methods for Differential Equations
Pysically Based Modeling: Principles and Practice Implicit Metods for Differential Equations David Baraff Robotics Institute Carnegie Mellon University Please note: Tis document is 997 by David Baraff
More informationCopyright c 2008 Kevin Long
Lecture 4 Numerical solution of initial value problems Te metods you ve learned so far ave obtained closed-form solutions to initial value problems. A closedform solution is an explicit algebriac formula
More information1 The Euler Forward scheme (schéma d'euler explicite)
TP : Finite dierence metod for a European option M2 Modélisation aléatoire - Université Denis-Diderot Cours EDP en Finance et Métodes Numériques. December 2016 1 Te Euler Forward sceme (scéma d'euler explicite)
More informationThe Priestley-Chao Estimator
Te Priestley-Cao Estimator In tis section we will consider te Pristley-Cao estimator of te unknown regression function. It is assumed tat we ave a sample of observations (Y i, x i ), i = 1,..., n wic are
More informationLecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.
Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative
More informationSimulation and verification of a plate heat exchanger with a built-in tap water accumulator
Simulation and verification of a plate eat excanger wit a built-in tap water accumulator Anders Eriksson Abstract In order to test and verify a compact brazed eat excanger (CBE wit a built-in accumulation
More information11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR
SECTION 11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR 633 wit speed v o along te same line from te opposite direction toward te source, ten te frequenc of te sound eard b te observer is were c is
More informationDerivatives of trigonometric functions
Derivatives of trigonometric functions 2 October 207 Introuction Toay we will ten iscuss te erivates of te si stanar trigonometric functions. Of tese, te most important are sine an cosine; te erivatives
More informationNotes on Planetary Motion
(1) Te motion is planar Notes on Planetary Motion Use 3-dimensional coordinates wit te sun at te origin. Since F = ma and te gravitational pull is in towards te sun, te acceleration A is parallel to te
More informationLecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines
Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to
More informationMath Spring 2013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, (1/z) 2 (1/z 1) 2 = lim
Mat 311 - Spring 013 Solutions to Assignment # 3 Completion Date: Wednesday May 15, 013 Question 1. [p 56, #10 (a)] 4z Use te teorem of Sec. 17 to sow tat z (z 1) = 4. We ave z 4z (z 1) = z 0 4 (1/z) (1/z
More information