A Nonclassical Collocation Method For Solving Two-Point Boundary Value Problems Over Infinite Intervals

Size: px
Start display at page:

Download "A Nonclassical Collocation Method For Solving Two-Point Boundary Value Problems Over Infinite Intervals"

Transcription

1 Austrlin Journl of Bsic nd Applied Sciences 59: 45-5 ISS A onclssicl Colloction Method For Solving o-oint Boundry Vlue roblems Over Infinite Intervls M Mlei nd M vssoli Kni Deprtment of Mthemtics Mobreh Brnch Islmic Azd University Isfhn Irn Deprtment of Mthemtics Khorsgn Brnch Islmic Azd University Isfhn Irn Abstrct: A colloction method for solving to-point boundry vlue problems posed on n infinite intervl involving second order liner differentil eqution is proposed By reducing the infinite intervl to finite intervl tht is lrge nd pproimting the vrible using grnge interpoltion the resulting boundry vlue problem is reduced to n lgebric system by using nonclssicl pseudospectrl method he pplictions re demonstrted vi test emples Key ords: Colloction method o-point boundry vlue problem infinite intervl IRODUCIO During the lst fe yers much progress hs been mde in the numericl tretment of initil vlue problems nd boundry vlue problems over infinite intervls see for emple Ibiol ; Rvi Knth 3 nd references therein ypiclly these problems rise very frequently in fluid dynmics erodynmics quntum mechnics electronics nd other domins of science A fe notble emples re the Von Krmn sirling flos entini 98; Mroich 98 combined forced nd free convection over horizontl plte Schneider 979 nd eigenvlue problems for the Schrodinger eqution entini 98 In mny cses the domin of the governing equtions of these problems is infinite or semi-infinite so tht the specil tretment is required for these so clled infinite intervl problems he nlyticl solutions for these problems re not redily ttinble nd thus the problem is brought to the problem of finding efficient computtionl lgorithms for obtining numericl solution In the present pper e consider the liner to-point boundry vlue problem of the from y y y - Q y R ith y b y c or lim y c 3 here Q nd R re continuous functions nd Q We ssume tht -3 hve unique solution y to be determined Before computing the solution e plummet the infinite intervl to finite but lrge one so tht finite point represent infinity his is stndrd pproch of solving such problems tht re posed on infinite intervls nd nmed domin trunction he boundry condition t infinity is replced ith the sme conditions t finite vlue his provides very ccurte results provided tht is sufficiently lrge De Hoog nd Weiss De Hoog FR 979 proposed n nlyticl trnsformtion of the independent vrible tht reduces the originl problem to boundry vlue problem over finite intervl Usully tht produces singulrity of the second ind t the origin nd must be solved by suitble difference methods In this pper e introduce ne nonclssicl colloction method for solving -3 his method consists of reducing the solution of -3 to set of liner lgebric equtions by first epnding y in terms of grnge interpolting polynomils bsed on set of nonclssicl Guss-obtto G nodes hese nodes hich rise from nonclssicl orthogonl polynomils bsed on n rbitrry eight function over intervl [ ] re presented is then collocted t these G colloction points to evlute the unnon coefficients hich re the vlues of the function y t these colloction points his pper is orgnized s follos: the folloing section is devoted to the genertion of G colloction points nd function pproimtion In section 3 e eplin our method nd in section 4 e give our numericl findings by considering to emples to demonstrte the ccurcy nd pplicbility of the proposed technique Corresponding Author: M Mlei Deprtment of Mthemtics Mobreh Brnch Islmic Azd University Isfhn Irn E-mil: mm_mlei5@yhoocom 45

2 Aust J Bsic & Appl Sci 59: onclssicl seudospectrl Method: gl oints nd Weights: In clssicl pseudospectrl methods Elngr 995; Elngr 998 the clssicl Guss-obtto colloction points re bsed on Chebyshev or egendre polynomils nd lie on the closed intervl [-] In the present or e consider the genertion of the G colloction points bsed on nonclssicl orthogonl polynomils ith respect to rbitrry eights in the intervl ] [ et be the number of colloction points nd t be the th-degree nonclssicl orthogonl polynomil ith respect to the eight t hich cn be obtined from the folloing three-term recurrence reltion Shizgl B 98 he recurrence coefficients in re given in Shizgl 996 by d d t d d d he G colloction points nd eights for re obtined by the method outlined by Golub Golub GH 973 he tridigonl Jcobi-obtto mtri of order is defined by 3 J here re the solution of the liner system heorem Golub 973 he Guss-obtto nodes re the eigenvlues of J nd the Guss-obtto eights re given by v here v is the normlized eigenvector of J corresponding to the eigenvlue v v e i nd v its firs component Function Approimtion: In order to interpolte function ] [ f t the point ] [ e use the grnge interpoltion of degree of the form f F f ] [ here re set of G colloction points interpoltion nodes in ] [ nd

3 Aust J Bsic & Appl Sci 59: 45-5 Differentiting the series of to times nd evluting the result t the collo-ction points gives m m d m F [ ] f D f m 3 m d here the coefficients D re entries of n squre differentition mtri m 3 Solution of o-oint Boundry Vlue roblems: In order to solve -3 ith nonclssicl colloction method e first choose n intervl [ is ny positive integer et y y y here y [ y y y ] nd [ ] Differentiting 3 nd using 3 e obtin 3 y y y D 33 y y y D 33 here D [ ] nd D [ ] By substituting 3 33 in e get y y D y D Q y R 34 hich cn be reritten s y y [ D D Q ] R 35 We no collocte 35 t G colloction points s y y [ D D Q ] R 36 he sets of G colloction points re defined on the intervls [ ] In ddition using e get e here e is n vector hose th component is one nd other components re zero Furthermore using 3 e pproimte the boundry conditions in 3 s follos: y y b 37 y y c 38 here is chosen so tht the computed solution pproimtes the ctul solution Using e obtin system of liner equtions Solving this system nd substituting the obtined vlues of vector y in 3 the pproimte solutions cn be obtined 4 Computtionl Results: In this section e hve implnted the present method on to emples he numericl results re compred ith ect results nd other results in the literture here re mny orthogonl eights functions tht cn be used Mlei ; Chen In this pper e use only to eights he cses re summrized in ble ble : Different Cse e 47

4 Aust J Bsic & Appl Sci 59: 45-5 Emple : Consider the boundry vlue problem y y y y e 4 ith y 4 y 43 his problem hs erlier been considered in Kdlboo 984 nd Rvi Knth 3 nd its ect solution is 3 ye e e he boundry vlue problem given by 4-43 hs been solved using nonclssicl colloction method for the cses given in ble he numericl results re presented in bles -3 nd compred ith the method in Rvi Knth 3 nd the ect solutions ote tht in Rvi Knth 3 defines domin trunction [ ] Define E m ye y : here y nd y e re pproimted nd ect solution respectively In tble 4 the mimum bsolute errors E for different vlues of nd re given ble 4 shos tht in this method by chnging the eight function the obtined results cn be improved ble : Computtionl results of y for emple = 8 Ect Method in Rvi Knth resent resent 3 8 h Cse 64 5 Cse ble 3: Computtionl results of y for emple = Ect Method in Rvi Knth resent resent 3 h Cse 64 Cse Emple : A second emple y y y 44 ith y 45 y 46 48

5 Aust J Bsic & Appl Sci 59: 45-5 ble 4: Mimume bsolute error Cse E for emple 8 cse nd cse nd cse nd cse nd his emple hs erlier been considered in Robertson 97 nd lter in Rvi Knth 3 For this problem e consider intervls of the form [ We pplied the method presented in this pper nd solved nd then evluted the different vlues of y hich lso ere evluted in Rvi Knth 3 by using forth order finite difference method he computtionl results re presented in bles 5-6 nd comprison is mde ith the method outlined in Rvi Knth 3 ble 5: Computtionl results of y for emple =6 Method in [] resent resent 5 h 3 Cse 5 Cse ble 6: Computtionl results of y for emple 6 Method in [] 5 h 3 resent Cse E resent Cse

6 Aust J Bsic & Appl Sci 59: 45-5 Conclusion: A nonclssicl colloction method hs been used for the pproimte solution of to-point boundry vlue problems over infinite intervls he orthogonl eight function Wnd the intervl of definition of orthogonl polynomils cn be chosen rbitrrily hich me this method computtionlly very ttrctive becuse vriety rnge of Guss-obtto colloction points cn be utilized Emples sho the efficiency nd ccurcy of this method REFERECES Chen H BD Shizgl A spectrl solution of the Sturm-iouville eqution: comprison of clssicl nd nonclssicl bsis sets J Comput Appl Mth 36: 7-35 De Hoog FR R Weiss 979 he numericl solution of boundry vlue problems ith n essentil singulrity SIAM J umer Anl 6: Elngr G MA Kzemi 998 seudospectrl Chebyshev optiml control of constrined nonliner dynmicl systems Comput Opt Appl : 95-7 Elngr G MA Kzemi M Rzzghi 995 he pseudospectrl egendre method for discretizing optiml control problems IEEE rns Automt Cont 4: Golub GH 973 Some modified mtri eigenvlue problems SIAM Rev 5: Ibiol EA RB Ogunrinde One ne numericl scheme for the solution of Initil vlue problems Ivps in ordinry differentil equtions Aust J Bsic Appl Sci 4: Kdlboo MK KS Rmn 984 Discrete invrint imbedding for the numericl solution of boundry vlue problems over infinity intervls Appl Mth Comput 5: entini M HB Keller 98 Boundry vlue problems over semi-infinite intervls nd their numericl solution SIAM J umer Anl 7: entini M Keller HB 98 he Von Krmn sirling flos SIAM J Appl Mth 38: 5-64 Mlei M M Mshli-Firouzi A numericl solution of problems in clculus of vrition using direct method nd nonclssicl prmeteriztion J Comput Appl Mth 34: Mroich A 98 Asymptotic nlysis of Von Krmn flos SIAM J Appl Mth 4: Rvi Knth ASV Y Reddy 3 A numericl method for solving to-point boundry vlue problems over infinite intervls Appl Mth Comput 44: Robertson 97 he liner to point boundry vlue problems on n infinite intervl Mth Comput 5: Schneider 979 A similrity solution for combined forced nd free convection horizontl plte Int J Het Mss rnsf : 4-46 Shizgl B 98 A Gussin qudrture procedure for use in the solution of the Boltzmn eqution nd relted problems J Comput hys 4: Shizgl B H Chen 996 he qudrture discretiztion method QDM in the solution of the Schrodinger eqution ith nonclssicl bsis functions J Chem hys 4:

Quadrature Rules for Evaluation of Hyper Singular Integrals

Quadrature Rules for Evaluation of Hyper Singular Integrals Applied Mthemticl Sciences, Vol., 01, no. 117, 539-55 HIKARI Ltd, www.m-hikri.com http://d.doi.org/10.19/ms.01.75 Qudrture Rules or Evlution o Hyper Singulr Integrls Prsnt Kumr Mohnty Deprtment o Mthemtics

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

The Islamic University of Gaza Faculty of Engineering Civil Engineering Department. Numerical Analysis ECIV Chapter 11

The Islamic University of Gaza Faculty of Engineering Civil Engineering Department. Numerical Analysis ECIV Chapter 11 The Islmic University of Gz Fculty of Engineering Civil Engineering Deprtment Numericl Anlysis ECIV 6 Chpter Specil Mtrices nd Guss-Siedel Associte Prof Mzen Abultyef Civil Engineering Deprtment, The Islmic

More information

Discrete Least-squares Approximations

Discrete Least-squares Approximations Discrete Lest-squres Approximtions Given set of dt points (x, y ), (x, y ),, (x m, y m ), norml nd useful prctice in mny pplictions in sttistics, engineering nd other pplied sciences is to construct curve

More information

Research Article Numerical Treatment of Singularly Perturbed Two-Point Boundary Value Problems by Using Differential Transformation Method

Research Article Numerical Treatment of Singularly Perturbed Two-Point Boundary Value Problems by Using Differential Transformation Method Discrete Dynmics in Nture nd Society Volume 202, Article ID 57943, 0 pges doi:0.55/202/57943 Reserch Article Numericl Tretment of Singulrly Perturbed Two-Point Boundry Vlue Problems by Using Differentil

More information

A Modified ADM for Solving Systems of Linear Fredholm Integral Equations of the Second Kind

A Modified ADM for Solving Systems of Linear Fredholm Integral Equations of the Second Kind Applied Mthemticl Sciences, Vol. 6, 2012, no. 26, 1267-1273 A Modified ADM for Solving Systems of Liner Fredholm Integrl Equtions of the Second Kind A. R. Vhidi nd T. Dmercheli Deprtment of Mthemtics,

More information

A Bernstein polynomial approach for solution of nonlinear integral equations

A Bernstein polynomial approach for solution of nonlinear integral equations Avilble online t wwwisr-publictionscom/jns J Nonliner Sci Appl, 10 (2017), 4638 4647 Reserch Article Journl Homepge: wwwtjnscom - wwwisr-publictionscom/jns A Bernstein polynomil pproch for solution of

More information

Numerical quadrature based on interpolating functions: A MATLAB implementation

Numerical quadrature based on interpolating functions: A MATLAB implementation SEMINAR REPORT Numericl qudrture bsed on interpolting functions: A MATLAB implementtion by Venkt Ayylsomyjul A seminr report submitted in prtil fulfillment for the degree of Mster of Science (M.Sc) in

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

Orthogonal Polynomials

Orthogonal Polynomials Mth 4401 Gussin Qudrture Pge 1 Orthogonl Polynomils Orthogonl polynomils rise from series solutions to differentil equtions, lthough they cn be rrived t in vriety of different mnners. Orthogonl polynomils

More information

On the Decomposition Method for System of Linear Fredholm Integral Equations of the Second Kind

On the Decomposition Method for System of Linear Fredholm Integral Equations of the Second Kind Applied Mthemticl Sciences, Vol. 2, 28, no. 2, 57-62 On the Decomposition Method for System of Liner Fredholm Integrl Equtions of the Second Kind A. R. Vhidi 1 nd M. Mokhtri Deprtment of Mthemtics, Shhr-e-Rey

More information

Matrices, Moments and Quadrature, cont d

Matrices, Moments and Quadrature, cont d Jim Lmbers MAT 285 Summer Session 2015-16 Lecture 2 Notes Mtrices, Moments nd Qudrture, cont d We hve described how Jcobi mtrices cn be used to compute nodes nd weights for Gussin qudrture rules for generl

More information

Application Chebyshev Polynomials for Determining the Eigenvalues of Sturm-Liouville Problem

Application Chebyshev Polynomials for Determining the Eigenvalues of Sturm-Liouville Problem Applied nd Computtionl Mthemtics 5; 4(5): 369-373 Pulished online Septemer, 5 (http://www.sciencepulishinggroup.com//cm) doi:.648/.cm.545.6 ISSN: 38-565 (Print); ISSN: 38-563 (Online) Appliction Cheyshev

More information

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite Unit #8 : The Integrl Gols: Determine how to clculte the re described by function. Define the definite integrl. Eplore the reltionship between the definite integrl nd re. Eplore wys to estimte the definite

More information

arxiv: v1 [math.na] 23 Apr 2018

arxiv: v1 [math.na] 23 Apr 2018 rxiv:804.0857v mth.na] 23 Apr 208 Solving generlized Abel s integrl equtions of the first nd second kinds vi Tylor-colloction method Eis Zrei, nd Smd Noeighdm b, Deprtment of Mthemtics, Hmedn Brnch, Islmic

More information

Modification Adomian Decomposition Method for solving Seventh OrderIntegro-Differential Equations

Modification Adomian Decomposition Method for solving Seventh OrderIntegro-Differential Equations IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X. Volume, Issue 5 Ver. V (Sep-Oct. 24), PP 72-77 www.iosrjournls.org Modifiction Adomin Decomposition Method for solving Seventh OrderIntegro-Differentil

More information

Fredholm Integral Equations of the First Kind Solved by Using the Homotopy Perturbation Method

Fredholm Integral Equations of the First Kind Solved by Using the Homotopy Perturbation Method Int. Journl of Mth. Anlysis, Vol. 5, 211, no. 19, 935-94 Fredholm Integrl Equtions of the First Kind Solved by Using the Homotopy Perturbtion Method Seyyed Mhmood Mirzei Deprtment of Mthemtics, Fculty

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

Solutions of Klein - Gordan equations, using Finite Fourier Sine Transform

Solutions of Klein - Gordan equations, using Finite Fourier Sine Transform IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 6 Ver. IV (Nov. - Dec. 2017), PP 19-24 www.iosrjournls.org Solutions of Klein - Gordn equtions, using Finite Fourier

More information

Matrix Eigenvalues and Eigenvectors September 13, 2017

Matrix Eigenvalues and Eigenvectors September 13, 2017 Mtri Eigenvlues nd Eigenvectors September, 7 Mtri Eigenvlues nd Eigenvectors Lrry Cretto Mechnicl Engineering 5A Seminr in Engineering Anlysis September, 7 Outline Review lst lecture Definition of eigenvlues

More information

Numerical integration

Numerical integration 2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter

More information

Numerical Solutions for Quadratic Integro-Differential Equations of Fractional Orders

Numerical Solutions for Quadratic Integro-Differential Equations of Fractional Orders Open Journl of Applied Sciences, 7, 7, 57-7 http://www.scirp.org/journl/ojpps ISSN Online: 65-395 ISSN Print: 65-397 Numericl Solutions for Qudrtic Integro-Differentil Equtions of Frctionl Orders Ftheh

More information

Orthogonal Polynomials and Least-Squares Approximations to Functions

Orthogonal Polynomials and Least-Squares Approximations to Functions Chpter Orthogonl Polynomils nd Lest-Squres Approximtions to Functions **4/5/3 ET. Discrete Lest-Squres Approximtions Given set of dt points (x,y ), (x,y ),..., (x m,y m ), norml nd useful prctice in mny

More information

Lecture 6: Singular Integrals, Open Quadrature rules, and Gauss Quadrature

Lecture 6: Singular Integrals, Open Quadrature rules, and Gauss Quadrature Lecture notes on Vritionl nd Approximte Methods in Applied Mthemtics - A Peirce UBC Lecture 6: Singulr Integrls, Open Qudrture rules, nd Guss Qudrture (Compiled 6 August 7) In this lecture we discuss the

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: How to identify the leding coefficients nd degrees of polynomils How to dd nd subtrct polynomils How to multiply polynomils

More information

Lecture 14: Quadrature

Lecture 14: Quadrature Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl

More information

Quantum Physics II (8.05) Fall 2013 Assignment 2

Quantum Physics II (8.05) Fall 2013 Assignment 2 Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.

More information

Polynomial Approximations for the Natural Logarithm and Arctangent Functions. Math 230

Polynomial Approximations for the Natural Logarithm and Arctangent Functions. Math 230 Polynomil Approimtions for the Nturl Logrithm nd Arctngent Functions Mth 23 You recll from first semester clculus how one cn use the derivtive to find n eqution for the tngent line to function t given

More information

Numerical Integration

Numerical Integration Chpter 5 Numericl Integrtion Numericl integrtion is the study of how the numericl vlue of n integrl cn be found. Methods of function pproximtion discussed in Chpter??, i.e., function pproximtion vi the

More information

Jordan Journal of Mathematics and Statistics (JJMS) 11(1), 2018, pp 1-12

Jordan Journal of Mathematics and Statistics (JJMS) 11(1), 2018, pp 1-12 Jordn Journl of Mthemtics nd Sttistics (JJMS) 11(1), 218, pp 1-12 HOMOTOPY REGULARIZATION METHOD TO SOLVE THE SINGULAR VOLTERRA INTEGRAL EQUATIONS OF THE FIRST KIND MOHAMMAD ALI FARIBORZI ARAGHI (1) AND

More information

u t = k 2 u x 2 (1) a n sin nπx sin 2 L e k(nπ/l) t f(x) = sin nπx f(x) sin nπx dx (6) 2 L f(x 0 ) sin nπx 0 2 L sin nπx 0 nπx

u t = k 2 u x 2 (1) a n sin nπx sin 2 L e k(nπ/l) t f(x) = sin nπx f(x) sin nπx dx (6) 2 L f(x 0 ) sin nπx 0 2 L sin nπx 0 nπx Chpter 9: Green s functions for time-independent problems Introductory emples One-dimensionl het eqution Consider the one-dimensionl het eqution with boundry conditions nd initil condition We lredy know

More information

CLOSED EXPRESSIONS FOR COEFFICIENTS IN WEIGHTED NEWTON-COTES QUADRATURES

CLOSED EXPRESSIONS FOR COEFFICIENTS IN WEIGHTED NEWTON-COTES QUADRATURES Filomt 27:4 (2013) 649 658 DOI 10.2298/FIL1304649M Published by Fculty of Sciences nd Mthemtics University of Niš Serbi Avilble t: http://www.pmf.ni.c.rs/filomt CLOSED EXPRESSIONS FOR COEFFICIENTS IN WEIGHTED

More information

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel

Solution to Fredholm Fuzzy Integral Equations with Degenerate Kernel Int. J. Contemp. Mth. Sciences, Vol. 6, 2011, no. 11, 535-543 Solution to Fredholm Fuzzy Integrl Equtions with Degenerte Kernel M. M. Shmivnd, A. Shhsvrn nd S. M. Tri Fculty of Science, Islmic Azd University

More information

Arithmetic Mean Derivative Based Midpoint Rule

Arithmetic Mean Derivative Based Midpoint Rule Applied Mthemticl Sciences, Vol. 1, 018, no. 13, 65-633 HIKARI Ltd www.m-hikri.com https://doi.org/10.1988/ms.018.858 Arithmetic Men Derivtive Bsed Midpoint Rule Rike Mrjulis 1, M. Imrn, Symsudhuh Numericl

More information

Lecture 19: Continuous Least Squares Approximation

Lecture 19: Continuous Least Squares Approximation Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for

More information

3.4 Numerical integration

3.4 Numerical integration 3.4. Numericl integrtion 63 3.4 Numericl integrtion In mny economic pplictions it is necessry to compute the definite integrl of relvlued function f with respect to "weight" function w over n intervl [,

More information

QUADRATURE is an old-fashioned word that refers to

QUADRATURE is an old-fashioned word that refers to World Acdemy of Science Engineering nd Technology Interntionl Journl of Mthemticl nd Computtionl Sciences Vol:5 No:7 011 A New Qudrture Rule Derived from Spline Interpoltion with Error Anlysis Hdi Tghvfrd

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

Advanced Computational Fluid Dynamics AA215A Lecture 3 Polynomial Interpolation: Numerical Differentiation and Integration.

Advanced Computational Fluid Dynamics AA215A Lecture 3 Polynomial Interpolation: Numerical Differentiation and Integration. Advnced Computtionl Fluid Dynmics AA215A Lecture 3 Polynomil Interpoltion: Numericl Differentition nd Integrtion Antony Jmeson Winter Qurter, 2016, Stnford, CA Lst revised on Jnury 7, 2016 Contents 3 Polynomil

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

Math 270A: Numerical Linear Algebra

Math 270A: Numerical Linear Algebra Mth 70A: Numericl Liner Algebr Instructor: Michel Holst Fll Qurter 014 Homework Assignment #3 Due Give to TA t lest few dys before finl if you wnt feedbck. Exercise 3.1. (The Bsic Liner Method for Liner

More information

The Algebra (al-jabr) of Matrices

The Algebra (al-jabr) of Matrices Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense

More information

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of

More information

Numerical Analysis. 10th ed. R L Burden, J D Faires, and A M Burden

Numerical Analysis. 10th ed. R L Burden, J D Faires, and A M Burden Numericl Anlysis 10th ed R L Burden, J D Fires, nd A M Burden Bemer Presenttion Slides Prepred by Dr. Annette M. Burden Youngstown Stte University July 9, 2015 Chpter 4.1: Numericl Differentition 1 Three-Point

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Linear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System

Linear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System Pure nd Applied Mthemtics Journl 017; 6(1): 5-13 http://www.sciencepublishinggroup.com/j/pmj doi: 10.11648/j.pmj.0170601.1 ISSN: 36-9790 (Print); ISSN: 36-981 (Online) Liner nd Non-liner Feedbck Control

More information

An optimal 3-point quadrature formula of closed type and error bounds

An optimal 3-point quadrature formula of closed type and error bounds Revist Colombin de Mtemátics Volumen 8), págins 9- An optiml 3-point qudrture formul of closed type nd error bounds Un fórmul de cudrtur óptim de 3 puntos de tipo cerrdo y error de fronter Nend Ujević,

More information

Ordinary differential equations

Ordinary differential equations Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties

More information

Lecture 23: Interpolatory Quadrature

Lecture 23: Interpolatory Quadrature Lecture 3: Interpoltory Qudrture. Qudrture. The computtion of continuous lest squres pproximtions to f C[, b] required evlutions of the inner product f, φ j = fxφ jx dx, where φ j is polynomil bsis function

More information

Introduction to Finite Element Method

Introduction to Finite Element Method Introduction to Finite Element Method Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pn.pl/ tzielins/ Tble of Contents 1 Introduction 1 1.1 Motivtion nd generl concepts.............

More information

Travelling Profile Solutions For Nonlinear Degenerate Parabolic Equation And Contour Enhancement In Image Processing

Travelling Profile Solutions For Nonlinear Degenerate Parabolic Equation And Contour Enhancement In Image Processing Applied Mthemtics E-Notes 8(8) - c IN 67-5 Avilble free t mirror sites of http://www.mth.nthu.edu.tw/ men/ Trvelling Profile olutions For Nonliner Degenerte Prbolic Eqution And Contour Enhncement In Imge

More information

Construction of Gauss Quadrature Rules

Construction of Gauss Quadrature Rules Jim Lmbers MAT 772 Fll Semester 2010-11 Lecture 15 Notes These notes correspond to Sections 10.2 nd 10.3 in the text. Construction of Guss Qudrture Rules Previously, we lerned tht Newton-Cotes qudrture

More information

A Direct Transformation of a Matrix Spectrum

A Direct Transformation of a Matrix Spectrum dvnces in Liner lgebr & Mtri heory 05 5 09-8 Published Online September 05 in SciRes. http://www.scirp.org/journl/lmt http://d.doi.org/0.46/lmt.05.50 Direct rnsformtion of Mtri Spectrum lbert Iskhkov Sergey

More information

Section 6.1 INTRO to LAPLACE TRANSFORMS

Section 6.1 INTRO to LAPLACE TRANSFORMS Section 6. INTRO to LAPLACE TRANSFORMS Key terms: Improper Integrl; diverge, converge A A f(t)dt lim f(t)dt Piecewise Continuous Function; jump discontinuity Function of Exponentil Order Lplce Trnsform

More information

CBE 291b - Computation And Optimization For Engineers

CBE 291b - Computation And Optimization For Engineers The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn

More information

Lecture 17. Integration: Gauss Quadrature. David Semeraro. University of Illinois at Urbana-Champaign. March 20, 2014

Lecture 17. Integration: Gauss Quadrature. David Semeraro. University of Illinois at Urbana-Champaign. March 20, 2014 Lecture 17 Integrtion: Guss Qudrture Dvid Semerro University of Illinois t Urbn-Chmpign Mrch 0, 014 Dvid Semerro (NCSA) CS 57 Mrch 0, 014 1 / 9 Tody: Objectives identify the most widely used qudrture method

More information

New implementation of reproducing kernel Hilbert space method for solving a class of functional integral equations

New implementation of reproducing kernel Hilbert space method for solving a class of functional integral equations 014 (014) 1-7 Avilble online t www.ispcs.com/cn Volume 014, Yer 014 Article ID cn-0005, 7 Pges doi:10.5899/014/cn-0005 Reserch Article ew implementtion of reproducing kernel Hilbert spce method for solving

More information

A-Level Mathematics Transition Task (compulsory for all maths students and all further maths student)

A-Level Mathematics Transition Task (compulsory for all maths students and all further maths student) A-Level Mthemtics Trnsition Tsk (compulsory for ll mths students nd ll further mths student) Due: st Lesson of the yer. Length: - hours work (depending on prior knowledge) This trnsition tsk provides revision

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

Numerical Methods I Orthogonal Polynomials

Numerical Methods I Orthogonal Polynomials Numericl Methods I Orthogonl Polynomils Aleksndr Donev Cournt Institute, NYU 1 donev@cournt.nyu.edu 1 MATH-GA 2011.003 / CSCI-GA 2945.003, Fll 2014 Nov 6th, 2014 A. Donev (Cournt Institute) Lecture IX

More information

SOLUTION OF QUADRATIC NONLINEAR PROBLEMS WITH MULTIPLE SCALES LINDSTEDT-POINCARE METHOD. Mehmet Pakdemirli and Gözde Sarı

SOLUTION OF QUADRATIC NONLINEAR PROBLEMS WITH MULTIPLE SCALES LINDSTEDT-POINCARE METHOD. Mehmet Pakdemirli and Gözde Sarı Mthemticl nd Computtionl Applictions, Vol., No., pp. 37-5, 5 http://dx.doi.org/.99/mc-5- SOLUTION OF QUADRATIC NONLINEAR PROBLEMS WITH MULTIPLE SCALES LINDSTEDT-POINCARE METHOD Mehmet Pkdemirli nd Gözde

More information

Numerical Linear Algebra Assignment 008

Numerical Linear Algebra Assignment 008 Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com

More information

Families of Solutions to Bernoulli ODEs

Families of Solutions to Bernoulli ODEs In the fmily of solutions to the differentil eqution y ry dx + = it is shown tht vrition of the initil condition y( 0 = cuses horizontl shift in the solution curve y = f ( x, rther thn the verticl shift

More information

MAC-solutions of the nonexistent solutions of mathematical physics

MAC-solutions of the nonexistent solutions of mathematical physics Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE

More information

Unit 1 Exponentials and Logarithms

Unit 1 Exponentials and Logarithms HARTFIELD PRECALCULUS UNIT 1 NOTES PAGE 1 Unit 1 Eponentils nd Logrithms (2) Eponentil Functions (3) The number e (4) Logrithms (5) Specil Logrithms (7) Chnge of Bse Formul (8) Logrithmic Functions (10)

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

37 Kragujevac J. Math. 23 (2001) A NOTE ON DENSITY OF THE ZEROS OF ff-orthogonal POLYNOMIALS Gradimir V. Milovanović a and Miodrag M. Spalević

37 Kragujevac J. Math. 23 (2001) A NOTE ON DENSITY OF THE ZEROS OF ff-orthogonal POLYNOMIALS Gradimir V. Milovanović a and Miodrag M. Spalević 37 Krgujevc J. Mth. 23 (2001) 37 43. A NOTE ON DENSITY OF THE ZEROS OF ff-orthogonal POLYNOMIALS Grdimir V. Milovnović nd Miodrg M. Splević b Fculty of Electronic Engineering, Deprtment of Mthemtics, University

More information

M344 - ADVANCED ENGINEERING MATHEMATICS

M344 - ADVANCED ENGINEERING MATHEMATICS M3 - ADVANCED ENGINEERING MATHEMATICS Lecture 18: Lplce s Eqution, Anltic nd Numericl Solution Our emple of n elliptic prtil differentil eqution is Lplce s eqution, lso clled the Diffusion Eqution. If

More information

Multiple Positive Solutions for the System of Higher Order Two-Point Boundary Value Problems on Time Scales

Multiple Positive Solutions for the System of Higher Order Two-Point Boundary Value Problems on Time Scales Electronic Journl of Qulittive Theory of Differentil Equtions 2009, No. 32, -3; http://www.mth.u-szeged.hu/ejqtde/ Multiple Positive Solutions for the System of Higher Order Two-Point Boundry Vlue Problems

More information

Application of Exact Discretization for Logistic Differential Equations to the Design of a Discrete-Time State-Observer

Application of Exact Discretization for Logistic Differential Equations to the Design of a Discrete-Time State-Observer 5 Proceedings of the Interntionl Conference on Informtion nd Automtion, December 58, 5, Colombo, Sri Ln. Appliction of Exct Discretiztion for Logistic Differentil Equtions to the Design of Discrete-ime

More information

On Second Derivative-Free Zero Finding Methods

On Second Derivative-Free Zero Finding Methods 010 Americn Control Conerence Mrriott Wterront, Bltimore, MD, USA June 30-July 0, 010 FrC07.4 On Second Derivtive-Free Zero Finding Methods Mohmmed A. Hsn Deprtment o Electricl & Computer Engineering University

More information

LYAPUNOV-TYPE INEQUALITIES FOR NONLINEAR SYSTEMS INVOLVING THE (p 1, p 2,..., p n )-LAPLACIAN

LYAPUNOV-TYPE INEQUALITIES FOR NONLINEAR SYSTEMS INVOLVING THE (p 1, p 2,..., p n )-LAPLACIAN Electronic Journl of Differentil Equtions, Vol. 203 (203), No. 28, pp. 0. ISSN: 072-669. URL: http://ejde.mth.txstte.edu or http://ejde.mth.unt.edu ftp ejde.mth.txstte.edu LYAPUNOV-TYPE INEQUALITIES FOR

More information

Math 131. Numerical Integration Larson Section 4.6

Math 131. Numerical Integration Larson Section 4.6 Mth. Numericl Integrtion Lrson Section. This section looks t couple of methods for pproimting definite integrls numericlly. The gol is to get good pproimtion of the definite integrl in problems where n

More information

LINEAR ALGEBRA AND MATRICES. n ij. is called the main diagonal or principal diagonal of A. A column vector is a matrix that has only one column.

LINEAR ALGEBRA AND MATRICES. n ij. is called the main diagonal or principal diagonal of A. A column vector is a matrix that has only one column. PART 1 LINEAR ALGEBRA AND MATRICES Generl Nottions Mtri (denoted by cpitl boldfce letter) A is n m n mtri. 11 1... 1 n 1... n A ij...... m1 m... mn ij denotes the component t row i nd column j of A. If

More information

Chapter 6 Notes, Larson/Hostetler 3e

Chapter 6 Notes, Larson/Hostetler 3e Contents 6. Antiderivtives nd the Rules of Integrtion.......................... 6. Are nd the Definite Integrl.................................. 6.. Are............................................ 6. Reimnn

More information

FUZZY HOMOTOPY CONTINUATION METHOD FOR SOLVING FUZZY NONLINEAR EQUATIONS

FUZZY HOMOTOPY CONTINUATION METHOD FOR SOLVING FUZZY NONLINEAR EQUATIONS VOL NO 6 AUGUST 6 ISSN 89-668 6-6 Asin Reserch Publishing Networ (ARPN) All rights reserved wwwrpnjournlscom FUZZY HOMOTOPY CONTINUATION METHOD FOR SOLVING FUZZY NONLINEAR EQUATIONS Muhmmd Zini Ahmd Nor

More information

B.Sc. in Mathematics (Ordinary)

B.Sc. in Mathematics (Ordinary) R48/0 DUBLIN INSTITUTE OF TECHNOLOGY KEVIN STREET, DUBLIN 8 B.Sc. in Mthemtics (Ordinry) SUPPLEMENTAL EXAMINATIONS 01 Numericl Methods Dr. D. Mckey Dr. C. Hills Dr. E.A. Cox Full mrks for complete nswers

More information

NUMERICAL INTEGRATION

NUMERICAL INTEGRATION NUMERICAL INTEGRATION How do we evlute I = f (x) dx By the fundmentl theorem of clculus, if F (x) is n ntiderivtive of f (x), then I = f (x) dx = F (x) b = F (b) F () However, in prctice most integrls

More information

Modern Methods for high-dimensional quadrature

Modern Methods for high-dimensional quadrature Modern Methods for high-dimensionl qudrture WS 213/14 A. Griewnk, H. eövey V: Die. 11-13 RUD 25, 1.13 Mi. 9-11 RUD 25, 1.13 UE: Die. 13-15 RUD 25, 1.13 http://www2.mthemtik.huberlin.de/ gggle/w1314/mqi/uebung/qudrture.pdf

More information

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics

SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics SCHOOL OF ENGINEERING & BUIL ENVIRONMEN Mthemtics An Introduction to Mtrices Definition of Mtri Size of Mtri Rows nd Columns of Mtri Mtri Addition Sclr Multipliction of Mtri Mtri Multipliction 7 rnspose

More information

Numerical Integration. 1 Introduction. 2 Midpoint Rule, Trapezoid Rule, Simpson Rule. AMSC/CMSC 460/466 T. von Petersdorff 1

Numerical Integration. 1 Introduction. 2 Midpoint Rule, Trapezoid Rule, Simpson Rule. AMSC/CMSC 460/466 T. von Petersdorff 1 AMSC/CMSC 46/466 T. von Petersdorff 1 umericl Integrtion 1 Introduction We wnt to pproximte the integrl I := f xdx where we re given, b nd the function f s subroutine. We evlute f t points x 1,...,x n

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a). The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples

More information

Solution of First kind Fredholm Integral Equation by Sinc Function

Solution of First kind Fredholm Integral Equation by Sinc Function World Acdemy of Science, Engineering nd Technology Interntionl Journl of Mthemticl nd Computtionl Sciences Solution of First kind Fredholm Integrl Eqution y Sinc Function Khosrow Mleknejd, Rez Mollpoursl,Prvin

More information

Oscillatory Quadratures Based on the Tau Method

Oscillatory Quadratures Based on the Tau Method Journl of Mthemtics Reserch; Vol. 5, No. 3; 213 ISSN 1916-9795 E-ISSN 1916-989 Published by Cndin Center of Science nd Eduction Oscilltory Qudrtures Bsed on the Tu Method Mohmed K. El-Dou 1 1 Applied Sciences

More information

An iterative method for solving nonlinear functional equations

An iterative method for solving nonlinear functional equations J. Mth. Anl. Appl. 316 (26) 753 763 www.elsevier.com/locte/jm An itertive method for solving nonliner functionl equtions Vrsh Dftrdr-Gejji, Hossein Jfri Deprtment of Mthemtics, University of Pune, Gneshkhind,

More information

CHAPTER 6b. NUMERICAL INTERPOLATION

CHAPTER 6b. NUMERICAL INTERPOLATION CHAPTER 6. NUMERICAL INTERPOLATION A. J. Clrk School o Engineering Deprtment o Civil nd Environmentl Engineering y Dr. Irhim A. Asskk Spring ENCE - Computtion s in Civil Engineering II Deprtment o Civil

More information

AN INTEGRAL INEQUALITY FOR CONVEX FUNCTIONS AND APPLICATIONS IN NUMERICAL INTEGRATION

AN INTEGRAL INEQUALITY FOR CONVEX FUNCTIONS AND APPLICATIONS IN NUMERICAL INTEGRATION Applied Mthemtics E-Notes, 5(005), 53-60 c ISSN 1607-510 Avilble free t mirror sites of http://www.mth.nthu.edu.tw/ men/ AN INTEGRAL INEQUALITY FOR CONVEX FUNCTIONS AND APPLICATIONS IN NUMERICAL INTEGRATION

More information

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

and that at t = 0 the object is at position 5. Find the position of the object at t = 2. 7.2 The Fundmentl Theorem of Clculus 49 re mny, mny problems tht pper much different on the surfce but tht turn out to be the sme s these problems, in the sense tht when we try to pproimte solutions we

More information

Chapter D05 Integral Equations

Chapter D05 Integral Equations D05 Integrl Equtions Chpter D05 Integrl Equtions Contents 1 Scope of the Chpter 2 2 Bckground to the Problems 2 2.1 Introduction............................................ 2 2.2 Clssifiction of Integrl

More information

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008

Math 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of

More information

Theoretical foundations of Gaussian quadrature

Theoretical foundations of Gaussian quadrature Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of

More information

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1 Ch.4. INTEGRAL EQUATIONS AND GREEN S FUNCTIONS Ronld B Guenther nd John W Lee, Prtil Differentil Equtions of Mthemticl Physics nd Integrl Equtions. Hildebrnd, Methods of Applied Mthemtics, second edition

More information

1 The Lagrange interpolation formula

1 The Lagrange interpolation formula Notes on Qudrture 1 The Lgrnge interpoltion formul We briefly recll the Lgrnge interpoltion formul. The strting point is collection of N + 1 rel points (x 0, y 0 ), (x 1, y 1 ),..., (x N, y N ), with x

More information

1 2-D Second Order Equations: Separation of Variables

1 2-D Second Order Equations: Separation of Variables Chpter 12 PDEs in Rectngles 1 2-D Second Order Equtions: Seprtion of Vribles 1. A second order liner prtil differentil eqution in two vribles x nd y is A 2 u x + B 2 u 2 x y + C 2 u y + D u 2 x + E u +

More information

Adomian Decomposition Method with Green s. Function for Solving Twelfth-Order Boundary. Value Problems

Adomian Decomposition Method with Green s. Function for Solving Twelfth-Order Boundary. Value Problems Applied Mthemticl Sciences, Vol. 9, 25, no. 8, 353-368 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/.2988/ms.25.486 Adomin Decomposition Method with Green s Function for Solving Twelfth-Order Boundry

More information

In Section 5.3 we considered initial value problems for the linear second order equation. y.a/ C ˇy 0.a/ D k 1 (13.1.4)

In Section 5.3 we considered initial value problems for the linear second order equation. y.a/ C ˇy 0.a/ D k 1 (13.1.4) 678 Chpter 13 Boundry Vlue Problems for Second Order Ordinry Differentil Equtions 13.1 TWO-POINT BOUNDARY VALUE PROBLEMS In Section 5.3 we considered initil vlue problems for the liner second order eqution

More information

Lecture 12: Numerical Quadrature

Lecture 12: Numerical Quadrature Lecture 12: Numericl Qudrture J.K. Ryn@tudelft.nl WI3097TU Delft Institute of Applied Mthemtics Delft University of Technology 5 December 2012 () Numericl Qudrture 5 December 2012 1 / 46 Outline 1 Review

More information

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS 4.5 The Funmentl Theorem of Clculus Contemporry Clculus 4.5 THE FUNDAMENTAL THEOREM OF CALCULUS This section contins the most importnt n most use theorem of clculus, THE Funmentl Theorem of Clculus. Discovere

More information

Chapter 3 Polynomials

Chapter 3 Polynomials Dr M DRAIEF As described in the introduction of Chpter 1, pplictions of solving liner equtions rise in number of different settings In prticulr, we will in this chpter focus on the problem of modelling

More information