THE CONVERGENCE AND ORDER OF THE 3-POINT BLOCK EXTENDED BACKWARD DIFFERENTIATION FORMULA

Size: px
Start display at page:

Download "THE CONVERGENCE AND ORDER OF THE 3-POINT BLOCK EXTENDED BACKWARD DIFFERENTIATION FORMULA"

Transcription

1 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom THE ONVERGENE AND ORDER OF THE -POINT BLOK EXTENDED BAKWARD DIFFERENTIATION FORMULA H Musa M B Suleiman F Ismail N Senu and Z B Ibrahim Department o Mathematics Facult o Science Universiti Putra Malasia Serdang Selangor Malasia Institute or Mathematical Research Universiti Putra Malasia Serdang Selangor Malasia hamisuhm@ahoocom ABSTRAT In this paper we consider the ull implicit -point Bloc Etended Bacward Dierentiation Formula or solving sti initial value problems The iterative bloc method is proven to be convergent b establishing zero stabilit and consistenc conditions Numerical results are given to show the eect o zero stabilit and consistenc The accurac is seen to improve as the step length tends to zero The order o the method is also shown to be 6 Kewords: convergence order o bloc method blocs etended bacward dierentiation ormula INTRODUTION onsider the irst order sti initial value problem (IVP) ' ( ) a ( ) [ ab ] () Such dierential euations occur in man ields o engineering science and in particular the appear in electrical circuit vibrations chemical reactions inetics etc Developing methods or solving () still remains a challenge in modern numerical analsis Seuential methods among them include (urtiss et al 9; Hall et al 98; Dahluist 96; ash 98; Suleiman et al 989) Bloc methods or solving () can be ound in (Fatunla 99; Ibrahim et al 7; Musa et al ; Nasir et al ; Musa et al ) The convergence o bloc methods or solving () using bloc bacward dierentiation ormula (BBDF) has been studied in (Ibrahim et al ) The bloc etended bacward dierentiation ormula (BEBDF) that approimates the o () is proposed in (Musa et al ) and has the general orm: α i hβ i + hβ+ + i () It was developed in uest or higher order A- stable bloc methods or sti IVPs The method improves the accurac and order o the BBDF method An etra uture point n + is involved which is predicted using conventional bacward dierentiation ormula The method also approimates the at -point simultaneousl and it is A-stable For i and it is given b: h h h + h h h n n n n n n n n n n n n n n n n n n n n n n respectivel More details on the method can be ound in (Musa et al ) An acceptable linear multistep method (LMM) must be convergent onsistenc and zero stabilit are the necessar and suicient conditions or convergence o a LMM According to (Lambert 97) consistenc controls the magnitude o the local truncation error while zero stabilit controls the manner in which the error is propagated at each step o the calculation A method which is not both consistent and zero stable is reected outright and has no practical interest This paper proves the convergence o the method () b establishing zero stabilit and consistenc conditions The order o the method will also be determined ORDER OF THE METHOD The ollowing deinitions given in (Lambert 97) will be used to establish the order o the method () The general linear multistep method (LMM) is deined b: α h β () where α and β are constants α α and β cannot be zero at the same time () The order o the LMM () and its associated linear operator given b: 9

2 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom L[ ( ); h] [ α ( + h) hβ '( + h)] () is deined as a uniue integer p such that () p and p + where the are constants deined b: α + α + α + + α α + α + + α ( β + β + β + + β ) ( α + α + + α )! ( β + β + + β ) ( )! (6) We etend the above deinitions to the method () as ollows: The method () can be deined in general matri orm as: AY m h B Fm+ (7) where A deined b: A B B and B are suare matrices A A B B B and Y Y m m F m F F m m + are column vectors deined b: Y m F Y n 6 m+ + n F n m n n F n m n m Euation (7) can be re-written as: n n n n + n n n n + n + h + h + h n n + n + 6 n n + n Let A A B B and B be bloc matrices deined b ( ) A ( A A A ) ( ) B B B B ( ) and B ( B B B ) A A A A B B B B where 8 A 9 99 A A B B B B (8) A A ' A 6 99 B B B B B8 The order o the bloc method (7) and its associated linear operator given b: [ ] + (9) L ( ); h A ( + h) h B '( + h)

3 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom is a uniue integer p such that () p and p + ; where the are constant column) matrices deined b: A + A+ A + + A A+ A + + A ( β + B+ B + + B+ ) ( A + A + + A )! ( B+ B + + ( + ) B + ) ( )! For ()6 we have () A + A + A + A + A + A ( A + A + A + A + A) ( B + B + B + B + B + B + B6) ( A + A + A + A + A)! ( B + B + B + B + B + 6 B6)! ( A + A + A + A + A)! ( B + B + B + B + B + 6 B6)! ( A + A + A + A + A)! ( B + B + B + B + B + 6 B6)! ( A + A + A + A + A)! ( B + B + B + B + B + 6 B6)! ( A + A + A + A + A) 6! ( B + B + B + B + B + 6 B6)! ( A + A + A + A + A) 7! ( B + B + B + B + B + 6 B6) 6! 8 () 69 8 Thereore the ormula () is o order 6 with error constant ONVERGENE OF THE METHOD onvergence is an essential propert that ever acceptable linear multistep method must possess This section proves the convergence o the method () According to (Lambert 97) consistenc and zero stabilit are the necessar conditions or the convergence o an numerical method We shall thereore begin with the ollowing theorem and deinitions (as given in Lambert 97) which relate to the general LMM: α h β () and then establish new deinitions that relate to the ull implicit -point BEBDF method A proo o consistenc and zero stabilit o the method will then ollow Theorem The necessar and suicient conditions or the linear multistep method () to be convergent are that it is consistent and zero stable Details o the prove can be ound in (Henrici 96) A LMM is said to be consistent i its order p Thereore rom (6) it ollows that the LMM () is consistent i and onl i the ollowing conditions are satisied: α α β See (Lambert 97) () The LMM () is said to be zero stable i no root o the irst characteristic polnomial has modulus greater than one; and i ever root with modulus one is simple See (Lambert 97) Building on this we now etend the above theorem and deinitions to the BEBDF method as ollows: Theorem The necessar and suicient conditions or the BEBDF method (7) to be convergent are that it is consistent and zero stable

4 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom Proo It suices to show that (7) is consistent and zero stable These are shown in subsections and The BEBDF is said to be consistent i its order p Thereore rom () it ollows that the BEBDF method () is consistent i and onl i the ollowing conditions are satisied: A 6 A B where A and B are as previousl deined () The BEBDF method () is said to be zero stable i no root o the irst characteristic polnomial has modulus greater than one and that with modulus one is simple onsistenc o the BEBDF method In this subsection it is shown that the BEBDF satisies the consistenc conditions given in deinition From what ollowed in section it can be concluded that the order o the BEBDF method is > Let A A A be as previousl deined Then A A + A + A + A + A + A () Hence the irst condition in () is satisied A A + A + A + A + A + A (6) 6 B (7) Hence A B Thus the second condition in () is also satisied The consistenc conditions are thereore met Hence the method is consistent Zero stabilit o the BEBDF method The stabilit polnomial o the method () is given b:

5 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom 689 t 6 h t 89 t 9h t 689 h t t Rth ( ) h t 6 h t 6 h t (8) For details see (Musa et al ) The irst characteristics polnomial o the method () is given b ( t ) where Solving the polnomial obtained is: t 89 t 689 t + + (9) Solving or t gives t t 7 t888 Thus b deinition o zero stabilit the BEBDF method is zero stable Since consistenc and zero stabilit conditions are both satisied the ull implicit -point BEBDF method converges This completes the proo o conditions set in the theorem NUMERIAL RESULTS To illustrate the eect o zero stabilit and consistenc on the method the ollowing non linear problems are solved at some ied station values o The theoretical and numerical results as well as the absolute error or dierent step length h are given in Tables - Problems ( ) ' Eact () 6 ( ) + e 6 Source: (Alvarez et al ) ' () Eact ( ) + Source: (Voss et al 997) Table- Eect o zero stabilit and consistenc on the -point BEBDF method when problem is solved with h Theoretical Numerical Absolute error Table- Eect o zero stabilit and consistenc on the -point BEBDF method when problem is solved with h Theoretical Numerical Absolute error

6 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom Table- Eect o zero stabilit and consistenc on the -point BEBDF method when problem is solved with h Theoretical Numerical Absolute error Table- Eect o zero stabilit and consistenc on the -point BEBDF method when problem is solved with h Theoretical Numerical Absolute error From the above tables the zero stabilit o the method is indicated b the decrease in error as the step length h tends to zero The accurac also improves as the step length is reduced Thus the error is not propagated in an eplosive manner Similarl the at an ied point improves as the step length is reduced This can be seen when we compare Tables and or problem and Tables and or problem The absolute error also indicates that the numerical becomes close to the eact Thus the computed tends to the theoretical as the step length tends to zero This shows the consistenc o the method ONLUSIONS The paper studied the ull implicit -point bloc etended bacward dierentiation ormula and proved that the method is consistent and zero stable This indicates that the method is convergent The numerical results

7 VOL 7 NO DEEMBER ISSN Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom presented illustrated the eect o zero stabilit and consistenc o the method when a sti IVP is solved There is no evidence o eplosive error propagation in the method The method was also proven to be o order 6 These added advantages mae the BEBDF method to be numericall acceptable method or solving sti initial value problems AKNOWLEDGEMENT We are thanul to the Institute or Mathematical Research (INSPEM) and the Department o Mathematics Universiti Putra Malasia or the support and assistance in the course o this research We also want to than the anonmous reviewers or their insightul comments which improved the ualit o the paper REFERENES urtiss and JO Hirschelder 9 Integration o sti euations Proceedings o the National Academ o Sciences o the United States o America 8: - NAAM Nasir ZB Ibrahim and MB Suleiman Fith order two-point bloc bacward dierentiation ormula or solving ordinar dierential euations Appl Math Sci : -8 P Henrici 96 Discrete variable methods in ordinar dierential euations John Wile and Sons SO Fatunla 99 Bloc methods or second order ODEs International Journal o omputer Mathematics : -6 ZB Ibrahim KI Othman and M Suleiman 7 Implicit r-point blocs bacward dierentiation ormula or solving irst-order sti ODEs Applied Mathematics and omputation 86: 8-6 ZB Ibrahim M Suleiman NAAM Nasir and KI Othman onvergence o the -Point Bloc Bacward Dierentiation Formulas Applied Mathematical Sciences : 7-8 D Voss and S Abbas 997 Bloc predictor-corrector schemes or the parallel o ODEs omputers and Mathematics with Applications : 6-7 G Hall and M Suleiman 98 A single code or the o sti and nonsti ODE's SIAM Journal on Scientiic and Statistical omputing 6: GG Dahluist 96 A special stabilit problem or linear multistep methods BIT Numerical Mathematics : 7- H Musa M B Suleiman and N Senu Full implicit -point bloc etended bacward dierentiation ormula or sti initial value problems Applied Mathematical Sciences 6: -8 H Musa M B Suleiman and F Ismail A-Stable - point bloc etended bacward dierentiation ormula or solving sti ordinar dierential euations AIP on Proc : -8 J Alvarez and J Roo An improved class o generalized Runge-Kutta methods or sti problems Part I: The scalar case Applied Mathematics and omputation : 7-6 J D Lambert 97 omputational Methods in Ordinar Dierential Euations hi hester New Yor USA JR ash 98 On the integration o sti sstems o ODEs using etended bacward dierentiation ormulae Numerische Mathemati : -6 M Suleiman and W Gear 989 Treating a single sti second-order ODE directl Journal o omputational and Applied Mathematics 7: -8

Implicit Second Derivative Hybrid Linear Multistep Method with Nested Predictors for Ordinary Differential Equations

Implicit Second Derivative Hybrid Linear Multistep Method with Nested Predictors for Ordinary Differential Equations American Scientiic Research Journal or Engineering, Technolog, and Sciences (ASRJETS) ISSN (Print) -44, ISSN (Online) -44 Global Societ o Scientiic Research and Researchers http://asretsournal.org/ Implicit

More information

Solving Second Order Linear Dirichlet and Neumann Boundary Value Problems by Block Method

Solving Second Order Linear Dirichlet and Neumann Boundary Value Problems by Block Method IAENG International Journal o Applied Matematics 43: IJAM_43 04 Solving Second Order Linear Diriclet and Neumann Boundar Value Problems b Block Metod Zanaria Abdul Majid Mod Mugti Hasni and Norazak Senu

More information

Research Article Diagonally Implicit Block Backward Differentiation Formulas for Solving Ordinary Differential Equations

Research Article Diagonally Implicit Block Backward Differentiation Formulas for Solving Ordinary Differential Equations International Mathematics and Mathematical Sciences Volume 212, Article ID 767328, 8 pages doi:1.1155/212/767328 Research Article Diagonally Implicit Block Backward Differentiation Formulas for Solving

More information

A Zero-Stable Block Method for the Solution of Third Order Ordinary Differential Equations.

A Zero-Stable Block Method for the Solution of Third Order Ordinary Differential Equations. A Zero-Stable Block Method for the Solution of Third Order Ordinary Differential Equations. K. Rauf, Ph.D. 1 ; S.A. Aniki (Ph.D. in view) 2* ; S. Ibrahim (Ph.D. in view) 2 ; and J.O. Omolehin, Ph.D. 3

More information

Ordinary Differential Equations n

Ordinary Differential Equations n Numerical Analsis MTH63 Ordinar Differential Equations Introduction Talor Series Euler Method Runge-Kutta Method Predictor Corrector Method Introduction Man problems in science and engineering when formulated

More information

Telescoping Decomposition Method for Solving First Order Nonlinear Differential Equations

Telescoping Decomposition Method for Solving First Order Nonlinear Differential Equations Telescoping Decomposition Method or Solving First Order Nonlinear Dierential Equations 1 Mohammed Al-Reai 2 Maysem Abu-Dalu 3 Ahmed Al-Rawashdeh Abstract The Telescoping Decomposition Method TDM is a new

More information

Initial Value Problems for. Ordinary Differential Equations

Initial Value Problems for. Ordinary Differential Equations Initial Value Problems for Ordinar Differential Equations INTRODUCTION Equations which are composed of an unnown function and its derivatives are called differential equations. It becomes an initial value

More information

y2 = 0. Show that u = e2xsin(2y) satisfies Laplace's equation.

y2 = 0. Show that u = e2xsin(2y) satisfies Laplace's equation. Review 1 1) State the largest possible domain o deinition or the unction (, ) = 3 - ) Determine the largest set o points in the -plane on which (, ) = sin-1( - ) deines a continuous unction 3) Find the

More information

. This is the Basic Chain Rule. x dt y dt z dt Chain Rule in this context.

. This is the Basic Chain Rule. x dt y dt z dt Chain Rule in this context. Math 18.0A Gradients, Chain Rule, Implicit Dierentiation, igher Order Derivatives These notes ocus on our things: (a) the application o gradients to ind normal vectors to curves suraces; (b) the generaliation

More information

A NOVEL METHOD OF INTERPOLATION AND EXTRAPOLATION OF FUNCTIONS BY A LINEAR INITIAL VALUE PROBLEM

A NOVEL METHOD OF INTERPOLATION AND EXTRAPOLATION OF FUNCTIONS BY A LINEAR INITIAL VALUE PROBLEM A OVEL METHOD OF ITERPOLATIO AD EXTRAPOLATIO OF FUCTIOS BY A LIEAR IITIAL VALUE PROBLEM Michael Shatalov Sensor Science and Technolog o CSIR Manuacturing and Materials, P.O.Bo 395, Pretoria, CSIR and Department

More information

On One Justification on the Use of Hybrids for the Solution of First Order Initial Value Problems of Ordinary Differential Equations

On One Justification on the Use of Hybrids for the Solution of First Order Initial Value Problems of Ordinary Differential Equations Pure and Applied Matematics Journal 7; 6(5: 74 ttp://wwwsciencepublisinggroupcom/j/pamj doi: 648/jpamj765 ISSN: 6979 (Print; ISSN: 698 (Online On One Justiication on te Use o Hybrids or te Solution o First

More information

8.4 Inverse Functions

8.4 Inverse Functions Section 8. Inverse Functions 803 8. Inverse Functions As we saw in the last section, in order to solve application problems involving eponential unctions, we will need to be able to solve eponential equations

More information

-Stable Second Derivative Block Multistep Formula for Stiff Initial Value Problems

-Stable Second Derivative Block Multistep Formula for Stiff Initial Value Problems IAENG International Journal of Applied Mathematics, :3, IJAM 3_7 -Stable Second Derivative Bloc Multistep Formula for Stiff Initial Value Problems (Advance online publication: 3 August ) IAENG International

More information

An Accurate Self-Starting Initial Value Solvers for. Second Order Ordinary Differential Equations

An Accurate Self-Starting Initial Value Solvers for. Second Order Ordinary Differential Equations International Journal of Contemporar Matematical Sciences Vol. 9, 04, no. 5, 77-76 HIKARI Ltd, www.m-iari.com ttp://dx.doi.org/0.988/icms.04.4554 An Accurate Self-Starting Initial Value Solvers for Second

More information

A Family of L(α) stable Block Methods for Stiff Ordinary Differential Equations

A Family of L(α) stable Block Methods for Stiff Ordinary Differential Equations American Journal of Computational and Applied Mathematics 214, 4(1): 24-31 DOI: 1.5923/.acam.21441.4 A Family of L(α) stable Bloc Methods for Stiff Ordinary Differential Equations Aie I. J. 1,*, Ihile

More information

Second Derivative Generalized Backward Differentiation Formulae for Solving Stiff Problems

Second Derivative Generalized Backward Differentiation Formulae for Solving Stiff Problems IAENG International Journal of Applied Mathematics, 48:, IJAM_48 Second Derivative Generalized Bacward Differentiation Formulae for Solving Stiff Problems G C Nwachuwu,TOor Abstract Second derivative generalized

More information

MA2264 -NUMERICAL METHODS UNIT V : INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL. By Dr.T.Kulandaivel Department of Applied Mathematics SVCE

MA2264 -NUMERICAL METHODS UNIT V : INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL. By Dr.T.Kulandaivel Department of Applied Mathematics SVCE MA64 -NUMERICAL METHODS UNIT V : INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS B Dr.T.Kulandaivel Department of Applied Matematics SVCE Numerical ordinar differential equations is te part

More information

YURI LEVIN AND ADI BEN-ISRAEL

YURI LEVIN AND ADI BEN-ISRAEL Pp. 1447-1457 in Progress in Analysis, Vol. Heinrich G W Begehr. Robert P Gilbert and Man Wah Wong, Editors, World Scientiic, Singapore, 003, ISBN 981-38-967-9 AN INVERSE-FREE DIRECTIONAL NEWTON METHOD

More information

Continuous Hybrid Multistep Methods with Legendre Basis Function for Direct Treatment of Second Order Stiff ODEs

Continuous Hybrid Multistep Methods with Legendre Basis Function for Direct Treatment of Second Order Stiff ODEs American Journal o Computational and Applied Matematics 06, 6(): 8-9 DOI: 0.59/j.ajcam.06060.0 Continuous Hybrid Multistep Metods wit Legendre Basis Function or Direct Treatment o Second Order Sti ODEs

More information

Fluctuationlessness Theorem and its Application to Boundary Value Problems of ODEs

Fluctuationlessness Theorem and its Application to Boundary Value Problems of ODEs Fluctuationlessness Theorem and its Application to Boundary Value Problems o ODEs NEJLA ALTAY İstanbul Technical University Inormatics Institute Maslak, 34469, İstanbul TÜRKİYE TURKEY) nejla@be.itu.edu.tr

More information

Numerical Methods - Lecture 2. Numerical Methods. Lecture 2. Analysis of errors in numerical methods

Numerical Methods - Lecture 2. Numerical Methods. Lecture 2. Analysis of errors in numerical methods Numerical Methods - Lecture 1 Numerical Methods Lecture. Analysis o errors in numerical methods Numerical Methods - Lecture Why represent numbers in loating point ormat? Eample 1. How a number 56.78 can

More information

Basic mathematics of economic models. 3. Maximization

Basic mathematics of economic models. 3. Maximization John Riley 1 January 16 Basic mathematics o economic models 3 Maimization 31 Single variable maimization 1 3 Multi variable maimization 6 33 Concave unctions 9 34 Maimization with non-negativity constraints

More information

SOME CHARACTERIZATIONS OF HARMONIC CONVEX FUNCTIONS

SOME CHARACTERIZATIONS OF HARMONIC CONVEX FUNCTIONS International Journal o Analysis and Applications ISSN 2291-8639 Volume 15, Number 2 2017, 179-187 DOI: 10.28924/2291-8639-15-2017-179 SOME CHARACTERIZATIONS OF HARMONIC CONVEX FUNCTIONS MUHAMMAD ASLAM

More information

Numerical Solution of Ordinary Differential Equations in Fluctuationlessness Theorem Perspective

Numerical Solution of Ordinary Differential Equations in Fluctuationlessness Theorem Perspective Numerical Solution o Ordinary Dierential Equations in Fluctuationlessness Theorem Perspective NEJLA ALTAY Bahçeşehir University Faculty o Arts and Sciences Beşiktaş, İstanbul TÜRKİYE TURKEY METİN DEMİRALP

More information

Solution of the Synthesis Problem in Hilbert Spaces

Solution of the Synthesis Problem in Hilbert Spaces Solution o the Synthesis Problem in Hilbert Spaces Valery I. Korobov, Grigory M. Sklyar, Vasily A. Skoryk Kharkov National University 4, sqr. Svoboda 677 Kharkov, Ukraine Szczecin University 5, str. Wielkopolska

More information

Two Points Hybrid Block Method for Solving First Order Fuzzy Differential Equations

Two Points Hybrid Block Method for Solving First Order Fuzzy Differential Equations Journal of Soft Computing and Appliations 2016 No.1 (2016) 43-53 Available online at www.ispas.om/jsa Volume 2016, Issue 1, Year 2016 Artile ID jsa-00083, 11 Pages doi:10.5899/2016/jsa-00083 Researh Artile

More information

Definition: Let f(x) be a function of one variable with continuous derivatives of all orders at a the point x 0, then the series.

Definition: Let f(x) be a function of one variable with continuous derivatives of all orders at a the point x 0, then the series. 2.4 Local properties o unctions o several variables In this section we will learn how to address three kinds o problems which are o great importance in the ield o applied mathematics: how to obtain the

More information

A Family of Block Methods Derived from TOM and BDF Pairs for Stiff Ordinary Differential Equations

A Family of Block Methods Derived from TOM and BDF Pairs for Stiff Ordinary Differential Equations American Journal of Mathematics and Statistics 214, 4(2): 121-13 DOI: 1.5923/j.ajms.21442.8 A Family of Bloc Methods Derived from TOM and BDF Ajie I. J. 1,*, Ihile M. N. O. 2, Onumanyi P. 1 1 National

More information

Analysis of the regularity, pointwise completeness and pointwise generacy of descriptor linear electrical circuits

Analysis of the regularity, pointwise completeness and pointwise generacy of descriptor linear electrical circuits Computer Applications in Electrical Engineering Vol. 4 Analysis o the regularity pointwise completeness pointwise generacy o descriptor linear electrical circuits Tadeusz Kaczorek Białystok University

More information

Feedback Linearization

Feedback Linearization Feedback Linearization Peter Al Hokayem and Eduardo Gallestey May 14, 2015 1 Introduction Consider a class o single-input-single-output (SISO) nonlinear systems o the orm ẋ = (x) + g(x)u (1) y = h(x) (2)

More information

On Some I-Convergent Double Sequence Spaces Defined by a Modulus Function

On Some I-Convergent Double Sequence Spaces Defined by a Modulus Function Engineering, 03, 5, 35-40 http://dxdoiorg/0436/eng0355a006 Published Online Ma 03 (http://wwwscirporg/journal/eng) On Some -Convergent Double Sequence Spaces Deined b a Modulus Function Vakeel A Khan,

More information

BEAM-COLUMNS SUMMARY: OBJECTIVES: REFERENCES: CONTENTS:

BEAM-COLUMNS SUMMARY: OBJECTIVES: REFERENCES: CONTENTS: BEA-COLUS SUARY: Structural members subjected to axial compression and bending are nown as beam columns. The interaction o normal orce and bending ma be treated elasticall or plasticall using equilibrium

More information

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread!

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread! The Cliord algebra and the Chevalley map - a computational approach detailed version 1 Darij Grinberg Version 0.6 3 June 2016. Not prooread! 1. Introduction: the Cliord algebra The theory o the Cliord

More information

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions 9. Graphing Functions by Plotting Points, The Domain and Range o Functions Now that we have a basic idea o what unctions are and how to deal with them, we would like to start talking about the graph o

More information

Finite Dimensional Hilbert Spaces are Complete for Dagger Compact Closed Categories (Extended Abstract)

Finite Dimensional Hilbert Spaces are Complete for Dagger Compact Closed Categories (Extended Abstract) Electronic Notes in Theoretical Computer Science 270 (1) (2011) 113 119 www.elsevier.com/locate/entcs Finite Dimensional Hilbert Spaces are Complete or Dagger Compact Closed Categories (Extended bstract)

More information

A NEW INTEGRATOR FOR SPECIAL THIRD ORDER DIFFERENTIAL EQUATIONS WITH APPLICATION TO THIN FILM FLOW PROBLEM

A NEW INTEGRATOR FOR SPECIAL THIRD ORDER DIFFERENTIAL EQUATIONS WITH APPLICATION TO THIN FILM FLOW PROBLEM Indian J. Pure Appl. Math., 491): 151-167, March 218 c Indian National Science Academy DOI: 1.17/s13226-18-259-6 A NEW INTEGRATOR FOR SPECIAL THIRD ORDER DIFFERENTIAL EQUATIONS WITH APPLICATION TO THIN

More information

( x) f = where P and Q are polynomials.

( x) f = where P and Q are polynomials. 9.8 Graphing Rational Functions Lets begin with a deinition. Deinition: Rational Function A rational unction is a unction o the orm ( ) ( ) ( ) P where P and Q are polynomials. Q An eample o a simple rational

More information

A CLASS OF CONTINUOUS HYBRID LINEAR MULTISTEP METHODS FOR STIFF IVPs IN ODEs

A CLASS OF CONTINUOUS HYBRID LINEAR MULTISTEP METHODS FOR STIFF IVPs IN ODEs ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LVIII, 0, f. A CLASS OF CONTINUOUS HYBRID LINEAR MULTISTEP METHODS FOR STIFF IVPs IN ODEs BY R.I. OKUONGHAE Abstract.

More information

Mat 267 Engineering Calculus III Updated on 9/19/2010

Mat 267 Engineering Calculus III Updated on 9/19/2010 Chapter 11 Partial Derivatives Section 11.1 Functions o Several Variables Deinition: A unction o two variables is a rule that assigns to each ordered pair o real numbers (, ) in a set D a unique real number

More information

y,z the subscript y, z indicating that the variables y and z are kept constant. The second partial differential with respect to x is written x 2 y,z

y,z the subscript y, z indicating that the variables y and z are kept constant. The second partial differential with respect to x is written x 2 y,z 8 Partial dierentials I a unction depends on more than one variable, its rate o change with respect to one o the variables can be determined keeping the others ied The dierential is then a partial dierential

More information

Mathematical Preliminaries. Developed for the Members of Azera Global By: Joseph D. Fournier B.Sc.E.E., M.Sc.E.E.

Mathematical Preliminaries. Developed for the Members of Azera Global By: Joseph D. Fournier B.Sc.E.E., M.Sc.E.E. Mathematical Preliminaries Developed or the Members o Azera Global B: Joseph D. Fournier B.Sc.E.E., M.Sc.E.E. Outline Chapter One, Sets: Slides: 3-27 Chapter Two, Introduction to unctions: Slides: 28-36

More information

A Wavelet Collocation Method for Optimal Control. Problems

A Wavelet Collocation Method for Optimal Control. Problems A Wavelet ollocation ethod or Optimal ontrol Problems Ran Dai * and John E. ochran Jr. Abstract A Haar wavelet technique is discussed as a method or discretizing the nonlinear sstem equations or optimal

More information

Linear Multistep Methods

Linear Multistep Methods Linear Multistep Methods Linear Multistep Methods (LMM) A LMM has the form α j x i+j = h β j f i+j, α k = 1 i 0 for the approximate solution of the IVP x = f (t, x), x(a) = x a. We approximate x(t) on

More information

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video SECTION and Decreasing Functions and the First Derivative Test 79 Section and Decreasing Functions and the First Derivative Test Determine intervals on which a unction is increasing or decreasing Appl

More information

Differential Equations

Differential Equations LOCUS Dierential Equations CONCEPT NOTES 0. Motiation 0. Soling Dierential Equations LOCUS Dierential Equations Section - MOTIVATION A dierential equation can simpl be said to be an equation inoling deriaties

More information

A REPORT ON PERFORMANCE OF ANNULAR FINS HAVING VARYING THICKNESS

A REPORT ON PERFORMANCE OF ANNULAR FINS HAVING VARYING THICKNESS VOL., NO. 8, APRIL 6 ISSN 89-668 ARPN Journal o Engineering and Applied Sciences 6-6 Asian Research Publishing Networ (ARPN). All rights reserved. A REPORT ON PERFORMANCE OF ANNULAR FINS HAVING VARYING

More information

Computational Methods CMSC/AMSC/MAPL 460. Ordinary differential equations

Computational Methods CMSC/AMSC/MAPL 460. Ordinary differential equations Computational Methods CMSC/AMSC/MAPL 460 Ordinar differential equations Ramani Duraiswami, Dept. of Computer Science Several slides adapted from Prof. ERIC SANDT, TAMU ODE: Previous class Standard form

More information

Optimum Stratification in Bivariate Auxiliary Variables under Neyman Allocation

Optimum Stratification in Bivariate Auxiliary Variables under Neyman Allocation Journal o Modern Applied Statistical Methods Volume 7 Issue Article 3 6-9-08 Optimum Stratiication in Bivariate Auiliar Variables under Neman Allocation Faizan Danish Sher-e-Kashmir Universit o Agricultural

More information

GALLOPING OF SMALL ASPECT RATIO SQUARE CYLINDER

GALLOPING OF SMALL ASPECT RATIO SQUARE CYLINDER OL. NO. JANUARY 5 ISSN 89-668 6-5 Asian Research Publishing Network (ARPN). All rights reserved. GALLOPING OF SMALL ASPET RATIO SQUARE YLINDER A. N. Rabinin and. D. Lusin Facult of Mathematics and Mechanics

More information

RELATIONS AND FUNCTIONS through

RELATIONS AND FUNCTIONS through RELATIONS AND FUNCTIONS 11.1.2 through 11.1. Relations and Functions establish a correspondence between the input values (usuall ) and the output values (usuall ) according to the particular relation or

More information

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011 Introduction to Differential Equations National Chiao Tung Universit Chun-Jen Tsai 9/14/011 Differential Equations Definition: An equation containing the derivatives of one or more dependent variables,

More information

A Class of Linearly Implicit Numerical Methods for Solving Stiff Ordinary Differential Equations

A Class of Linearly Implicit Numerical Methods for Solving Stiff Ordinary Differential Equations The Open Numerical Method Journal, 2010, 2, 1-5 1 Open Acce A Cla o Linearl Implicit Numerical Method or Solving Sti Ordinar Dierential Equation S.S. Filippov * and A.V. Tglian Keldh Intitute o Applied

More information

A FAMILY OF EXPONENTIALLY FITTED MULTIDERIVATIVE METHOD FOR STIFF DIFFERENTIAL EQUATIONS

A FAMILY OF EXPONENTIALLY FITTED MULTIDERIVATIVE METHOD FOR STIFF DIFFERENTIAL EQUATIONS A FAMILY OF EXPONENTIALLY FITTED MULTIDERIVATIVE METHOD FOR STIFF DIFFERENTIAL EQUATIONS ABSTRACT. ABHULIMENC.E * AND UKPEBOR L.A Department Of Mathematics, Ambrose Alli University, Ekpoma, Nigeria. In

More information

Predictor Corrector Methods of High Order for Numerical Integration of Initial Value Problems

Predictor Corrector Methods of High Order for Numerical Integration of Initial Value Problems International Journal of Scientific and Innovative Mathematical Research (IJSIMR) Volume 4, Issue 2, February 2016, PP 47-55 ISSN 2347-307X (Print) & ISSN 2347-3142 (Online) www.arcjournals.org Predictor

More information

GIMC-based Fault Detection and Its Application to Magnetic Suspension System

GIMC-based Fault Detection and Its Application to Magnetic Suspension System Proceedings o the 7th World Congress The International Federation o Automatic Control Seoul, Korea, Jul 6-, 28 GIC-based Fault Detection and Its Application to agnetic Suspension Sstem Yujiro Nakaso Toru

More information

U- FUNCTION IN APPLICATIONS

U- FUNCTION IN APPLICATIONS Ushaov I. U-FUNKTION IN ALIATIONS RT&A # 0 6 Vol.7 0 September U- FUNTION IN ALIATIONS Igor Ushaov Sun Diego aliornia e-mail: igusha@gmail.com The ethod o Universal Generating Functions U-unctions was

More information

Calculators are NOT permitted.

Calculators are NOT permitted. THE 0-0 KEESW STTE UIVERSITY HIGH SHOOL THETIS OETITIO RT II In addition to scoring student responses based on whether a solution is correct and complete, consideration will be given to elegance, simplicity,

More information

Research Article An Accurate Block Hybrid Collocation Method for Third Order Ordinary Differential Equations

Research Article An Accurate Block Hybrid Collocation Method for Third Order Ordinary Differential Equations Applied Mathematics, Article ID 549597, 9 pages http://dx.doi.org/1.1155/14/549597 Research Article An Accurate Bloc Hybrid Collocation Method for Third Order Ordinary Differential Equations Lee Ken Yap,

More information

Math 216A. A gluing construction of Proj(S)

Math 216A. A gluing construction of Proj(S) Math 216A. A gluing construction o Proj(S) 1. Some basic deinitions Let S = n 0 S n be an N-graded ring (we ollows French terminology here, even though outside o France it is commonly accepted that N does

More information

A Simple Explanation of the Sobolev Gradient Method

A Simple Explanation of the Sobolev Gradient Method A Simple Explanation o the Sobolev Gradient Method R. J. Renka July 3, 2006 Abstract We have observed that the term Sobolev gradient is used more oten than it is understood. Also, the term is oten used

More information

On Nonlinear Methods for Stiff and Singular First Order Initial Value Problems

On Nonlinear Methods for Stiff and Singular First Order Initial Value Problems Nonlinear Analysis and Differential Equations, Vol. 6, 08, no., 5-64 HIKARI Ltd, www.m-hikari.com https://doi.org/0.988/nade.08.8 On Nonlinear Methods for Stiff and Singular First Order Initial Value Problems

More information

ECE 546 Lecture 03 Waveguides

ECE 546 Lecture 03 Waveguides ECE 546 Lecture 03 Waveguides Spring 018 Jose E. Schutt-Aine Electrical & Computer Engineering Universit o Illinois jesa@illinois.edu ECE 546 Jose Schutt Aine 1 Parallel-Plate Waveguide Maxwell s Equations

More information

An Alternative Poincaré Section for Steady-State Responses and Bifurcations of a Duffing-Van der Pol Oscillator

An Alternative Poincaré Section for Steady-State Responses and Bifurcations of a Duffing-Van der Pol Oscillator An Alternative Poincaré Section or Steady-State Responses and Biurcations o a Duing-Van der Pol Oscillator Jang-Der Jeng, Yuan Kang *, Yeon-Pun Chang Department o Mechanical Engineering, National United

More information

A Class of an Implicit Stage-two Rational Runge-Kutta Method for Solution of Ordinary Differential Equations

A Class of an Implicit Stage-two Rational Runge-Kutta Method for Solution of Ordinary Differential Equations Journal of Applied Mathematics & Bioinformatics, vol.2, no.3, 2012, 17-31 ISSN: 1792-6602 (print), 1792-6939 (online) Scienpress Ltd, 2012 A Class of an Implicit Stage-two Rational Runge-Kutta Method for

More information

Fourth Order RK-Method

Fourth Order RK-Method Fourth Order RK-Method The most commonly used method is Runge-Kutta fourth order method. The fourth order RK-method is y i+1 = y i + 1 6 (k 1 + 2k 2 + 2k 3 + k 4 ), Ordinary Differential Equations (ODE)

More information

EDGES AND CONTOURS(1)

EDGES AND CONTOURS(1) KOM31 Image Processing in Industrial Sstems Dr Muharrem Mercimek 1 EDGES AND CONTOURS1) KOM31 Image Processing in Industrial Sstems Some o the contents are adopted rom R. C. Gonzalez, R. E. Woods, Digital

More information

3. Several Random Variables

3. Several Random Variables . Several Random Variables. Two Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation between Random Variables. Densit unction o the Sum o Two Random Variables. Probabilit

More information

Rank Lowering Linear Maps and Multiple Dirichlet Series Associated to GL(n, R)

Rank Lowering Linear Maps and Multiple Dirichlet Series Associated to GL(n, R) Pure and Applied Mathematics Quarterly Volume, Number Special Issue: In honor o John H Coates, Part o 6 65, 6 Ran Lowering Linear Maps and Multiple Dirichlet Series Associated to GLn, R Introduction Dorian

More information

On High-Rate Cryptographic Compression Functions

On High-Rate Cryptographic Compression Functions On High-Rate Cryptographic Compression Functions Richard Ostertág and Martin Stanek Department o Computer Science Faculty o Mathematics, Physics and Inormatics Comenius University Mlynská dolina, 842 48

More information

Math 2412 Activity 1(Due by EOC Sep. 17)

Math 2412 Activity 1(Due by EOC Sep. 17) Math 4 Activity (Due by EOC Sep. 7) Determine whether each relation is a unction.(indicate why or why not.) Find the domain and range o each relation.. 4,5, 6,7, 8,8. 5,6, 5,7, 6,6, 6,7 Determine whether

More information

A Comparison between the Iteration Methods and Adomian Decomposition Method for Solving Nonlinear Combustion Equations

A Comparison between the Iteration Methods and Adomian Decomposition Method for Solving Nonlinear Combustion Equations Applied Mathematial Sienes, Vol. 7, 0, no. 5, 5-9 HIKARI Ltd, www.m-hikari.om http://dx.doi.org/0.988/ams.0.99 A Comparison between the Iteration Methods and Adomian Deomposition Method or Solving Nonlinear

More information

Sixth-Order and Fourth-Order Hybrid Boundary Value Methods for Systems of Boundary Value Problems

Sixth-Order and Fourth-Order Hybrid Boundary Value Methods for Systems of Boundary Value Problems Sith-Order and Fourth-Order Hybrid Boundary Value Methods for Systems of Boundary Value Problems GRACE O. AKILABI Department of Mathematics Covenant University, Canaanland, Ota, Ogun State IGERIA grace.akinlabi@covenantuniversity.edu.ng

More information

Feedback Optimal Control for Inverted Pendulum Problem by Using the Generating Function Technique

Feedback Optimal Control for Inverted Pendulum Problem by Using the Generating Function Technique (IJACSA) International Journal o Advanced Computer Science Applications Vol. 5 No. 11 14 Feedback Optimal Control or Inverted Pendulum Problem b Using the Generating Function echnique Han R. Dwidar Astronom

More information

CS220/MATH320 Applied Discrete Math Fall 2018 Instructor: Marc Pomplun. Assignment #3. Sample Solutions

CS220/MATH320 Applied Discrete Math Fall 2018 Instructor: Marc Pomplun. Assignment #3. Sample Solutions CS22/MATH2 Applied Discrete Math Fall 28 Instructor: Marc Pomplun Assignment # Sample Solutions Question : The Boston Powerlower Botanists at UMass Boston recently discovered a new local lower species

More information

and ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on

and ( x, y) in a domain D R a unique real number denoted x y and b) = x y = {(, ) + 36} that is all points inside and on Mat 7 Calculus III Updated on 10/4/07 Dr. Firoz Chapter 14 Partial Derivatives Section 14.1 Functions o Several Variables Deinition: A unction o two variables is a rule that assigns to each ordered pair

More information

DIFFERENTIAL POLYNOMIALS GENERATED BY SECOND ORDER LINEAR DIFFERENTIAL EQUATIONS

DIFFERENTIAL POLYNOMIALS GENERATED BY SECOND ORDER LINEAR DIFFERENTIAL EQUATIONS Journal o Applied Analysis Vol. 14, No. 2 2008, pp. 259 271 DIFFERENTIAL POLYNOMIALS GENERATED BY SECOND ORDER LINEAR DIFFERENTIAL EQUATIONS B. BELAÏDI and A. EL FARISSI Received December 5, 2007 and,

More information

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points Roberto s Notes on Dierential Calculus Chapter 8: Graphical analysis Section 1 Extreme points What you need to know already: How to solve basic algebraic and trigonometric equations. All basic techniques

More information

Applications of Gauss-Radau and Gauss-Lobatto Numerical Integrations Over a Four Node Quadrilateral Finite Element

Applications of Gauss-Radau and Gauss-Lobatto Numerical Integrations Over a Four Node Quadrilateral Finite Element Avaiable online at www.banglaol.info angladesh J. Sci. Ind. Res. (), 77-86, 008 ANGLADESH JOURNAL OF SCIENTIFIC AND INDUSTRIAL RESEARCH CSIR E-mail: bsir07gmail.com Abstract Applications of Gauss-Radau

More information

International Journal of Mathematical Archive-8(6), 2017, 1-7 Available online through ISSN

International Journal of Mathematical Archive-8(6), 2017, 1-7 Available online through   ISSN nternational Journal o Mathematical Archive-8(6), 07, -7 Available online through www.ijma.ino SSN 9 5046 DETERMNATON OF ENTROPY FUNCTONAL FOR DHS DSTRBUTONS S. A. EL-SHEHAWY* Department o Mathematics,

More information

A Self-Starting Hybrid Linear Multistep Method for a Direct Solution of the General Second-Order Initial Value Problem

A Self-Starting Hybrid Linear Multistep Method for a Direct Solution of the General Second-Order Initial Value Problem IOS Joural o Matematics (IOS-JM) ISSN: 78-578. Volume 4 Issue 6 (Ja. - eb. ) PP 7- www.iosrourals.org Sel-Startig Hbrid Liear Multistep Metod or a Direct Solutio o te Geeral Secod-Order Iitial Value Problem

More information

Modelling of dynamics of mechanical systems with regard for constraint stabilization

Modelling of dynamics of mechanical systems with regard for constraint stabilization IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Modelling of dnamics of mechanical sstems with regard for constraint stabilization o cite this article: R G Muharlamov 018 IOP

More information

APPENDIX 1 ERROR ESTIMATION

APPENDIX 1 ERROR ESTIMATION 1 APPENDIX 1 ERROR ESTIMATION Measurements are always subject to some uncertainties no matter how modern and expensive equipment is used or how careully the measurements are perormed These uncertainties

More information

THE GAMMA FUNCTION THU NGỌC DƯƠNG

THE GAMMA FUNCTION THU NGỌC DƯƠNG THE GAMMA FUNCTION THU NGỌC DƯƠNG The Gamma unction was discovered during the search or a actorial analog deined on real numbers. This paper will explore the properties o the actorial unction and use them

More information

Computational Methods for Domains with! Complex Boundaries-I!

Computational Methods for Domains with! Complex Boundaries-I! http://www.nd.edu/~gtrggva/cfd-course/ Computational Methods or Domains with Comple Boundaries-I Grétar Trggvason Spring For most engineering problems it is necessar to deal with comple geometries, consisting

More information

Problem Set. Problems on Unordered Summation. Math 5323, Fall Februray 15, 2001 ANSWERS

Problem Set. Problems on Unordered Summation. Math 5323, Fall Februray 15, 2001 ANSWERS Problem Set Problems on Unordered Summation Math 5323, Fall 2001 Februray 15, 2001 ANSWERS i 1 Unordered Sums o Real Terms In calculus and real analysis, one deines the convergence o an ininite series

More information

Received: 30 July 2017; Accepted: 29 September 2017; Published: 8 October 2017

Received: 30 July 2017; Accepted: 29 September 2017; Published: 8 October 2017 mathematics Article Least-Squares Solution o Linear Dierential Equations Daniele Mortari ID Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA; mortari@tamu.edu; Tel.: +1-979-845-734

More information

Improved Extended Runge-Kutta-like Method for Solving First Order IVPs

Improved Extended Runge-Kutta-like Method for Solving First Order IVPs Indian Journal of Science and Technology, Vol 9(48), DOI: 0.7485/ijst/06/v9i48/0938, December 06 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Improved Extended Runge-Kutta-like Method for Solving

More information

369 Nigerian Research Journal of Engineering and Environmental Sciences 2(2) 2017 pp

369 Nigerian Research Journal of Engineering and Environmental Sciences 2(2) 2017 pp 369 Nigerian Research Journal of Engineering and Environmental Sciences 2(2) 27 pp. 369-374 Original Research Article THIRD DERIVATIVE MULTISTEP METHODS WITH OPTIMIZED REGIONS OF ABSOLUTE STABILITY FOR

More information

Department of Physics and Astronomy 2 nd Year Laboratory. L2 Light Scattering

Department of Physics and Astronomy 2 nd Year Laboratory. L2 Light Scattering nd ear laborator script L Light Scattering Department o Phsics and Astronom nd Year Laborator L Light Scattering Scientiic aims and objectives To determine the densit o nano-spheres o polstrene suspended

More information

NON-AUTONOMOUS INHOMOGENEOUS BOUNDARY CAUCHY PROBLEMS AND RETARDED EQUATIONS. M. Filali and M. Moussi

NON-AUTONOMOUS INHOMOGENEOUS BOUNDARY CAUCHY PROBLEMS AND RETARDED EQUATIONS. M. Filali and M. Moussi Electronic Journal: Southwest Journal o Pure and Applied Mathematics Internet: http://rattler.cameron.edu/swjpam.html ISSN 83-464 Issue 2, December, 23, pp. 26 35. Submitted: December 24, 22. Published:

More information

8.1 Exponents and Roots

8.1 Exponents and Roots Section 8. Eponents and Roots 75 8. Eponents and Roots Before defining the net famil of functions, the eponential functions, we will need to discuss eponent notation in detail. As we shall see, eponents

More information

Factors of words under an involution

Factors of words under an involution Journal o Mathematics and Inormatics Vol 1, 013-14, 5-59 ISSN: 349-063 (P), 349-0640 (online) Published on 8 May 014 wwwresearchmathsciorg Journal o Factors o words under an involution C Annal Deva Priya

More information

Exponentially-Fitted Runge-Kutta Nystrom Method of Order Three for Solving Oscillatory Problems ABSTRACT 1. INTRODUCTION

Exponentially-Fitted Runge-Kutta Nystrom Method of Order Three for Solving Oscillatory Problems ABSTRACT 1. INTRODUCTION Malaysian Journal of Mathematical Sciences 8(S): 7-4 (04) Special Issue: International Conference on Mathematical Sciences and Statistics 0 (ICMSS0) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Journal homepage:

More information

New Functions from Old Functions

New Functions from Old Functions .3 New Functions rom Old Functions In this section we start with the basic unctions we discussed in Section. and obtain new unctions b shiting, stretching, and relecting their graphs. We also show how

More information

Chapter 6 Reliability-based design and code developments

Chapter 6 Reliability-based design and code developments Chapter 6 Reliability-based design and code developments 6. General Reliability technology has become a powerul tool or the design engineer and is widely employed in practice. Structural reliability analysis

More information

The Milne error estimator for stiff problems

The Milne error estimator for stiff problems 13 R. Tshelametse / SAJPAM. Volume 4 (2009) 13-28 The Milne error estimator for stiff problems Ronald Tshelametse Department of Mathematics University of Botswana Private Bag 0022 Gaborone, Botswana. E-mail

More information

3. Several Random Variables

3. Several Random Variables . Several Random Variables. To Random Variables. Conditional Probabilit--Revisited. Statistical Independence.4 Correlation beteen Random Variables Standardied (or ero mean normalied) random variables.5

More information

ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables

ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables Department o Electrical Engineering University o Arkansas ELEG 3143 Probability & Stochastic Process Ch. 4 Multiple Random Variables Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Two discrete random variables

More information

A NOTE ON THE HERMITE HADAMARD INEQUALITY FOR CONVEX FUNCTIONS ON THE CO ORDINATES FEIXIANG CHEN. 1. Introduction. f (t)dt. b a a

A NOTE ON THE HERMITE HADAMARD INEQUALITY FOR CONVEX FUNCTIONS ON THE CO ORDINATES FEIXIANG CHEN. 1. Introduction. f (t)dt. b a a Journal o Mathematial Inequalities Volume 8 Number ( 95 93 doi:.753/jmi-8-69 A NOTE ON THE HERMITE HADAMARD INEQUALITY FOR CONVEX FUNCTIONS ON THE CO ORDINATES FEIXIANG CHEN (Communiated by S. Abramovih

More information

Complex Variables. For ECON 397 Macroeconometrics Steve Cunningham

Complex Variables. For ECON 397 Macroeconometrics Steve Cunningham Comple Variables For ECON 397 Macroeconometrics Steve Cnningham Open Disks or Neighborhoods Deinition. The set o all points which satis the ineqalit

More information