Effect of Heat Exchangers Connection on Effectiveness

Size: px
Start display at page:

Download "Effect of Heat Exchangers Connection on Effectiveness"

Transcription

1 Joural of Roboics ad Mechaical Egieerig Research Effec of Hea Exchagers oecio o Effeciveess Voio W Koiaho Maru J Lampie ad M El Haj Assad * Aalo Uiversiy School of Sciece ad echology P O Box 00 FIN Filad Ausralia ollege of Kuwai P O Box Safa-05 Kuwai wwwverizoaoliepublishigcom Vol: Issue: *orrespodig auhor: Dr Mamdouh El Haj Assad Associae Professor/Head of Mechaical Egieerig Deparme Ausralia ollege of Kuwai Mechaical Egieerig Deparme PO Box Safa-05Kuwai el: Ex: 79 Fax: ; massad@aceduw Aricle ype: Research Submissio Dae: 9 February 05 Acceped Dae: 0 May 05 Published Dae: 5 May 05 Absrac iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 opyrigh: 05 Dr Mamdouh El Haj Assad his is a ope-access aricle disribued uder he erms of he reaive ommos Aribuio Licese which permis uresriced use disribuio ad reproducio i ay medium provided he origial auhor ad source are credied I his wor he performace of he recuperaive ype hea exchagers coeced i series is sudied Geeral expressios for he effeciveess of couer flow ad parallel flow coecios for ay ype of hea exchagers have bee derived I is proved ha he effeciveess of he hea exchager is oly fucio of he hermal coducace ad hea capaciy flows A umerical example is give i order o fid how may cross flow hea exchagers coeced i series would give he same effeciveess as ha of sigle couerflow hea exchager Iroducio I series coecio he overall coducace of he coeced uis is equal o he sum of he coducaces of all idividual uis he mai objecive of his wor is o derive a geeral expressio for he overall effeciveess of he series coecio as a fucio of he effeciveess s of whole uis i ha coecio Moreover his sudy purpose is o obai he bes performace of he hea exchager based o heir coecio Hea exchagers are devices used o rasfer hea bewee wo fluids a differe emperaures he goal of hea exchager desig is o relae he ile ad oule emperaure he overall hea rasfer coefficie ad he geomery of he hea exchager o he rae of hea rasfer bewee he wo fluids Figure: ouer- ad parallel coecio Hea exchagers are exesively used i power plas as boilers codesers feedwaer heaers superheaers ecoomizers ad air heaers; i refrigeraio ad air-codiioig equipmes as evaporaors ad codesers; ad i may oher applicaios Effec of he imum ad miimum hea capaciace o he performace of hea exchagers from eropy geeraio poi of view has bee ivesigaed [] heoreical aalysis of couerflow hea exchagers [] ad parallel flow hea exchagers [] wih a hea source wihi he ho fluid has bee sudied Moreover hea exchagers of ay ype ca be coeced i series for cerai purposes More deails o hea exchager desig ad applicaio ca be foud i lieraure [-7] Hea exchagers ca be coeced i series i couer flow coecio as show Figure a or i parallel flow coecio as show i Figure b while he hea exchagers coeced i series i boh coecios ca be ay ype of hea exchager I order o avoid ay misudersadigs bewee coceps couer-flow ui ad couer coecio as well as bewee parallel-flow ui ad parallel coecio a couer coecio of hree parallel flow uis (parallel flow hea exchagers is preseed i Figure Figure : Parallel coecio wih parallel flow uis ouer coecio Le us desigae by ad of ho flow; ad by ad of cold flow respecively J Robo Mech Eg Resr ( Page as he emperaure ad hea capaciy as he emperaure ad hea capaciy osider he couer coecio as show i Figure ad assume firs ha > Figure is a couer coecio wih couer flow hea exchagers (couer uis However uis ca be ay ype of hea exchager sice he same mahemaical formulaio is valid for hem; his

2 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 is because we oly cosider he emperaures of he ho ad cold flows a he ile ad exi of he ui osider ui of Figure ε δ ε R ε or i geeral form δ R ε he by usig Eq ( he effeciveess of he whole coecio for 0 R < is obaied as he hea balace ca be wrie as ad effeciveess of he ui is ε / o From hese expressios i follows ha ε o ad ( mi / o where R / / Hece o - ε o ad o - R ε o we obai uis ε ad orrespodigly for he oher ε Muliply ε ε ε we ge he oal hea balace of he coecio is ( + where + + Hece R + - ad for R ad R for R O he oher had he effeciveess of he whole coecio is ad hus ε + auxiliary variable as ε δ ε he auxiliary variable is obaied as δ Figure : ouer coecio wih couer flow uis ε ε (R R R Now le us defie a ( ε ε ε R I he same way as above a geeral expressio for he whole coecio (couer coecio effeciveess for < ie R / ca be obaied which is he same as ha of Eq ( So he hea capaciace raio R does o chage mahemaically he geeral expressio for he effeciveess For R ad hece we obai ( + + ε ad hus we obai ε he he auxiliary variable is obaied as ε + + δ + + ε sice for R O he oher had he effeciveess of ui is ε ad δ ad δ geerally δ + ε ε ε ε δ he ε + orrespodigly δ + ε ε hece we ge δ δ + δ + δ or he effeciveess of he whole coecio for R ca be wrie i geeral form as Subsiuig he expressio of / i he above equaio we ge J Robo Mech Eg Resr ( Page

3 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 ε + ε ε ε ε Whe he uis are ideical ad we assume ha he coducace of a ui does o chage if is geomery does o chage i is valid ha ε ε ε ε u ha is because i ca be prove ha he effeciveess e of a hea exchager is oly fucio of hea capaciy flows ad coducace as will be show laer ad he hea capaciy flows are he same for all he uis Hece i follows from Eqs ( ad ( ha ( From hese equaios i follows ha ε ad - ( / - Figure : Parallel coecio wih parallel flow uis u εu ε for 0 R < ( u R εu ad εu ε for R (5 + ( ε u hus - -(- - ε - ( - ε - which meas ha ε orrespodigly for he oher uis ε emperaure differece raio as ad ε Muliplyig he he followig where R is eiher / or / (he miimum hea capaciy flow is i he omiaor ad is he umber of uis I a similar way i is easy o show ha Eqs ( ad ( are valid also for R 0 Equaio (5 is obaied by alig he limi of Equaio ( as R eds o ad he usig L Hopials rule as R eds o Now we cosider he case where he hea balace of a idividual ui ca be wrie as u u G A u where G is coducace per ui hea rasfer area of he hea exchager walls A u is area of he hea exchagers walls ad is he average emperaure differece bewee cold ad ho fluids As ad he size of he coecio sill remais fiie he size of he uis becomes differeially small ad i follows ha where - Bu his is he hea balace of a differeial ui of a couer-flow exchager ha meas ha we ed up o equaios of he ordiary couer-flow exchager hus as he umber of uis is very large we ca cosider he whole coecio as oe couer-flow exchager Parallel coecio osider he parallel coecio where he idividual uis cosis of parallel flow hea exchagers as show i Figure Le us firs cosider he case where > which ie R emperaure differece raio is obaied as hea balace of he coecio is which meas ha R - - ad R + he effeciveess of he whole coecio is ε R + ( ε ( ε R + or i a geeral form R + ( ε / ( εu u sice < 0 he effeciveess of ui is ε / o / ε R + (7 J Robo Mech Eg Resr ( Page ε o ( ε he overall (6 R + I a similar way we ed up wih Eq (6 for he case where < I is easy o show ha Eq (6 is valid also whe R If all he uis of a parallel coecio are ideical wih effeciveess ε u i follows from Eq (6 ha

4 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 which is valid for all values of R (whe 0 R Le us agai cosider he case where he hea balace of oe ui ca be wrie as u u G A u As ad he size of he coecio sill remais fiie he size of he uis is differeially small ad i follows ha where - However his is he hea balace of a differeial ui of a parallel-flow exchager hece we ed up wih he equaios of he ordiary parallelflow exchager hus as he umber of uis is very large we ca cosider he whole coecio as oe parallel-flow exchager A proof ha he effeciveess of a hea exchager is a fucio of R ad NU oly his proof is based o he Bucigham s Π-heorem ad o such a reasoable assumpio ha he chage of emperaure of he smaller hea capaciy flow i he hea exchager is fucio of four variables which are emperaure differece of eerig flows o (which is he imum emperaure differece i he whole hea exchager miimum hea capaciy flow mi imum hea capaciy flow ad coducace of he exchager G Hece we ca wrie ( o mi G Mahemaically here is a fucio F ha saisfies he followig codiio F ( o G 0 he dimesios of mi he variables are: [ ] [ o ] K ad [ mi ] [ ] [G] W/K We ca choose dimesios K ad W as basic uis ha meas here are wo liearly idepede dimesios i fucio F his ca be doe eve hough W g m s - is o a basic ui i he sadard ui sysems because he liear idepedece of K ad W is all ha is demaded hus he amou of variables is 5 ad he amou of idepede dimesios is Accordig o Bucigham s Π-heorem o iformaio is los if he fucio F is derived o a fucio of dimesioless groups ha is Π-groups so ha he amou of Π-groups i he ew fucio is We ca form from he variables of fucio F for example he followig Π-groups: Π / o e Π / R ad Π G / mi NU Hece we ge a ew fucio f so ha f(π Π Π 0 Bu his ca be derived direcly o form Π Π (Π Π or e e (R NU which was o be proved ompariso bewee a couerflow exchager ad a couerflow coecio made of crossflow elemes osiderig he hree ypes of hea exchagers couer- crossad parallel flow exchagers i is well ow ha he couerflow exchager has he bes effeciveess Hece he effeciveess of he couer flow exchager ca be used as a referece he closer he effeciveess of a coecio o he referece oe he beer is he coecio A impora quesio is how may elemes mi eeded i order ha a coecio pracically performs as couer flow exchager wih he same hea rasfer area? I order o sudy his we use he followig approximae equaio for cross-flow exchagers wih boh flows umixed [8]: osider a couer flow exchager ad a couer coecio made of cross-flow uis so ha hey boh have he same G mi ad ad hece he same R ad NU Le be he umber of he cross flow uis For a cross flow ui NU u NU/ (9 Subsiuig Eq (9 io Eq (8 we ge he effeciveess ε u for a idividual cross flow ui Usig Eqs ( ad (5 we ge he effeciveess ε co for couer coecio For a couer-flow exchager [] he effeciveess is J Robo Mech Eg Resr ( Page (8 (0 he he perceage differece bewee boh effeciveesses for various values of R NU ad ca be calculaed by εcou εco 00 % εcou For example wih values R 075 NU 5 ad we ge e cro 088 (Eq(8 NU u 5 (Eq(9 e u 056 (Eq(8 e co 089 (Eq( εcou εco e co 0909 (Eq(0 ad 00 % % εcou Resuls ad Discussio For a couer coecio he effeciveess of he coecio ca be calculaed from Eq ( or Eq ( ad especially from Eq ( or Eq (5 whe he uis are ideical he correspodig equaios for a parallel-flow coecio are Eqs (6 ad (7 he daa calculaed accordig o he above procedure is show graphically i Figures 5a - 5d Effeciveesses of couerflow-ad crossflow hea exchagers ad of couer coecios made of crossflow uis wih differe values of R I each of he figures he uppermos curve represes he couer flow hea exchager ad he lowermos represes a sigle cross flow hea exchager ad bewee he upper- ad lowermos curves here are 5 curves which represe he couer coecios made of 6 8 ad 0 wih cross flow hea exchager uis he larger he umber of uis he closer he curve is o he uppermos curve

5 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 Figures 5 a - 5 d illusrae ha he larger R value he larger he differeces of e bewee idividual cases I case R 0 which aes place i a phase chage here would be o differece a all ad here would be oly a sigle curve i he figure hus we ca mae a coclusio ha he differeces are he larges for R ie whe he hea capaciy flows are he same his coclusio ca be reasoed also i he followig way: le us cosider a siuaio where mi < I his case he emperaure chage of is very small hece here is almos cosa emperaure o he oher side of he wall So i is almos isigifica o which direcio mi flows compared o hus he emperaure chage of mi is less sesiive o he relaive flow direcios ie he geomery he larger he differece bewee mi ad ie he closer he R is o zero Hece he emperaure chage of mi ad by defiiio he e is more sesiive o he geomery he closer R value o uiy hus he larges differeces bewee effeciveesses appear i he case R he larges differeces bewee a sigle couerflow exchager ad couerflow coecios wih various umber of uis of cross flow hea exchagers have bee foud from he umerical daa of Figure 5a he mai resuls are give i able he larges differeces of e bewee a sigle couerflow exchager ad couerflow coecios whe R I he able umber of uis NU ( he NU-value where he larges differece occurs % ( larges differece (% % (NU he differece of e whe NU (% he umerical daa was calculaed wih he accuracy of wo decimals ad wih some values of here appeared o be wo imum pois I mos cases he imum poi was very close o he poi NU ad for his reaso here is a exra row which shows he differece for NU he resuls idicaed by able ca be preseed shorly so ha wo uis are eeded i order ha he differece i all codiios is less ha 0 % for uis less ha 5 % for 8 uis less ha % ad for 8 uis less ha % Bu i mus be remembered ha we cosidered here he limi case R ad wih smaller values of R usually smaller amou of uis is eeded able idicaes also ha he differece of e bewee a couerflow ad a sigle crossflow exchager is ever larger ha % J Robo Mech Eg Resr ( Page 5

6 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: NU( %( %(NU NU( %( %(NU NU( %( %(NU able : Mai Resuls I ca be prove by he dimesioal aalysis ha for ay hea exchager he effeciveess is a fucio of NU ad R oly ad does o deped o he icomig emperaures Pracically o so may crossflow uis are eeded i order ha he effeciveess of a couerflow coecio is pracically o worse ha ha of a sigle couerflow exchager I was proved ha 8 uis are eeded i order o have oly % differece i effeciveess oclusios A heoreical formulaio was preseed i order o obai he effeciveess of hea exchagers coeced i series he effeciveess was derived for couer ad parallel flow hea exchagers coeced i series If he hea exchagers are coeced i series hey should be coeced i couer flow coecio i order o achieve he bes possible effeciveess I was show ha he effeciveess of he hea exchager is oly fucio of he hea capaciace raio of he wo fluids ad he hermal coducace Usually oly a few uis are eeded i order ha he effecivees is almos he same as a sigle couerflow exchager Nomeclaure A area of hea rasfer wall m specific hea J/g c p hea capaciy rae W/K ( mc p G m coducace W/K mass flow g/s umber of uis NU umber of hea rasfer uis ( NU G / mi R raio of hea capaciace ( R / mi cold fluid emperaure K ho fluid emperaure K Gree Leers δ auxiliary variable ε effeciveess of a hea exchager emperaure differece K Subscrips cro crossflow exchager cou couerflow exchager co couerflow coecio made of crossflow uis Mi miimum imum cold fluid ho fluid u ui Refereces M El Haj Assad Effec of imum ad miimum hea capaciy rae o eropy geeraio i a hea exchager I J Eergy Research 00; (:0-08doi: 000/er67 M El Haj Assad Voio Koiaho hermal aalysis of a couerflow hea exchager wih a hea source I J Ambie Eergy 00; (:-7doi:0080/ M El Haj Assad Voio Koiaho Aalysis of a parallel flow hea exchager wih a hea source Hea rasfer Egieerig 0; (5:8-89 doi:0080/ A Beja Hea rasfer New Yor: Wiley; p J Robo Mech Eg Resr ( Page 6

7 iaio: Voio W Koiaho Maru J Lampie ad M El Haj Assad (05 Effec of Hea Exchagers oecio o Effeciveess J Robo Mech Eg Resr (: -7 5 S Kaac edior Boilers evaporaors ad codesers New Yor: Wiley; p 6 WM Kays AL Lodo ompac Hea Exchagers New Yor: McGraw- Hill; 98 7 RK Shah DP Seulic Fudameals of Hea Exchager Desig New Yor: Wiley; 00 9 p 8 FP Icropera DP DeWi Fudameals of Hea ad Mass rasfer New Yor: Joh Wiley &Sos; 990 J Robo Mech Eg Resr ( Page 7

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs America Joural of Compuaioal Mahemaics, 04, 4, 80-88 Published Olie Sepember 04 i SciRes. hp://www.scirp.org/joural/ajcm hp://dx.doi.org/0.436/ajcm.04.4404 Mea Square Coverge Fiie Differece Scheme for

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

Comparisons Between RV, ARV and WRV

Comparisons Between RV, ARV and WRV Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form

Research Article A Generalized Nonlinear Sum-Difference Inequality of Product Form Joural of Applied Mahemaics Volume 03, Aricle ID 47585, 7 pages hp://dx.doi.org/0.55/03/47585 Research Aricle A Geeralized Noliear Sum-Differece Iequaliy of Produc Form YogZhou Qi ad Wu-Sheg Wag School

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA

A Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme

More information

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables

Procedia - Social and Behavioral Sciences 230 ( 2016 ) Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables Available olie a wwwsciecedireccom ScieceDirec Procedia - Social ad Behavioral Scieces 30 ( 016 ) 35 39 3 rd Ieraioal Coferece o New Challeges i Maageme ad Orgaizaio: Orgaizaio ad Leadership, May 016,

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

Inverse Heat Conduction Problem in a Semi-Infinite Circular Plate and its Thermal Deflection by Quasi-Static Approach

Inverse Heat Conduction Problem in a Semi-Infinite Circular Plate and its Thermal Deflection by Quasi-Static Approach Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 93-9466 Vol. 5 Issue ue pp. 7 Previously Vol. 5 No. Applicaios ad Applied Mahemaics: A Ieraioal oural AAM Iverse Hea Coducio Problem i a Semi-Ifiie

More information

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural

More information

S n. = n. Sum of first n terms of an A. P is

S n. = n. Sum of first n terms of an A. P is PROGREION I his secio we discuss hree impora series amely ) Arihmeic Progressio (A.P), ) Geomeric Progressio (G.P), ad 3) Harmoic Progressio (H.P) Which are very widely used i biological scieces ad humaiies.

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

Fermat Numbers in Multinomial Coefficients

Fermat Numbers in Multinomial Coefficients 1 3 47 6 3 11 Joural of Ieger Sequeces, Vol. 17 (014, Aricle 14.3. Ferma Numbers i Muliomial Coefficies Shae Cher Deparme of Mahemaics Zhejiag Uiversiy Hagzhou, 31007 Chia chexiaohag9@gmail.com Absrac

More information

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

More information

The Change of the Distances between the Wave Fronts

The Change of the Distances between the Wave Fronts Joural of Physical Mahemaics IN: 9-9 Research Aricle Aricle Joural of Physical Mahemaics Geadiy ad iali, J Phys Mah 7, 8: DOI: 47/9-97 OMI Ope Ieraioal Access Opical Fizeau Experime wih Movig Waer is Explaied

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline: ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

Extended Laguerre Polynomials

Extended Laguerre Polynomials I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17

OLS bias for econometric models with errors-in-variables. The Lucas-critique Supplementary note to Lecture 17 OLS bias for ecoomeric models wih errors-i-variables. The Lucas-criique Supplemeary oe o Lecure 7 RNy May 6, 03 Properies of OLS i RE models I Lecure 7 we discussed he followig example of a raioal expecaios

More information

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction Malaysia Joural of Mahemaical Scieces 9(): 49-5 (5) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/joural Some Newo s Type Ieualiies for Geomerically Relaive Covex Fucios

More information

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Academic Forum Cauchy Confers with Weierstrass. Lloyd Edgar S. Moyo, Ph.D. Associate Professor of Mathematics

Academic Forum Cauchy Confers with Weierstrass. Lloyd Edgar S. Moyo, Ph.D. Associate Professor of Mathematics Academic Forum - Cauchy Cofers wih Weiersrass Lloyd Edgar S Moyo PhD Associae Professor of Mahemaics Absrac We poi ou wo limiaios of usig he Cauchy Residue Theorem o evaluae a defiie iegral of a real raioal

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

Chemical Engineering 374

Chemical Engineering 374 Chemical Egieerig 374 Fluid Mechaics NoNeoia Fluids Oulie 2 Types ad properies of o-neoia Fluids Pipe flos for o-neoia fluids Velociy profile / flo rae Pressure op Fricio facor Pump poer Rheological Parameers

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

A Note on Prediction with Misspecified Models

A Note on Prediction with Misspecified Models ITB J. Sci., Vol. 44 A, No. 3,, 7-9 7 A Noe o Predicio wih Misspecified Models Khresha Syuhada Saisics Research Divisio, Faculy of Mahemaics ad Naural Scieces, Isiu Tekologi Badug, Jala Gaesa Badug, Jawa

More information

On The Eneström-Kakeya Theorem

On The Eneström-Kakeya Theorem Applied Mahemaics,, 3, 555-56 doi:436/am673 Published Olie December (hp://wwwscirporg/oural/am) O The Eesröm-Kakeya Theorem Absrac Gulsha Sigh, Wali Mohammad Shah Bharahiar Uiversiy, Coimbaore, Idia Deparme

More information

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix

A Complex Neural Network Algorithm for Computing the Largest Real Part Eigenvalue and the corresponding Eigenvector of a Real Matrix 4h Ieraioal Coferece o Sesors, Mecharoics ad Auomaio (ICSMA 06) A Complex Neural Newor Algorihm for Compuig he Larges eal Par Eigevalue ad he correspodig Eigevecor of a eal Marix HANG AN, a, XUESONG LIANG,

More information

The Central Limit Theorem

The Central Limit Theorem The Ceral Limi Theorem The ceral i heorem is oe of he mos impora heorems i probabiliy heory. While here a variey of forms of he ceral i heorem, he mos geeral form saes ha give a sufficiely large umber,

More information

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA Volume 8 No. 8, 45-54 ISSN: 34-3395 (o-lie versio) url: hp://www.ijpam.eu ijpam.eu INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA A.Arul dass M.Dhaapal

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier

The Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier America Joural of Applied Mahemaics ad Saisics, 015, Vol. 3, No. 5, 184-189 Available olie a hp://pubs.sciepub.com/ajams/3/5/ Sciece ad Educaio Publishig DOI:10.1691/ajams-3-5- The Mome Approximaio of

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme

Numerical Solution of Parabolic Volterra Integro-Differential Equations via Backward-Euler Scheme America Joural of Compuaioal ad Applied Maemaics, (6): 77-8 DOI:.59/.acam.6. Numerical Soluio of Parabolic Volerra Iegro-Differeial Equaios via Bacward-Euler Sceme Ali Filiz Deparme of Maemaics, Ada Mederes

More information

Inference of the Second Order Autoregressive. Model with Unit Roots

Inference of the Second Order Autoregressive. Model with Unit Roots Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

A Generalization of Hermite Polynomials

A Generalization of Hermite Polynomials Ieraioal Mahemaical Forum, Vol. 8, 213, o. 15, 71-76 HIKARI Ld, www.m-hikari.com A Geeralizaio of Hermie Polyomials G. M. Habibullah Naioal College of Busiess Admiisraio & Ecoomics Gulberg-III, Lahore,

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 2, 206 ISSN 223-7027 A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY İbrahim Çaak I his paper we obai a Tauberia codiio i erms of he weighed classical

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

International Journal of Multidisciplinary Approach and Studies. Channel Capacity Analysis For L-Mrc Receiver Over Η-µ Fading Channel

International Journal of Multidisciplinary Approach and Studies. Channel Capacity Analysis For L-Mrc Receiver Over Η-µ Fading Channel Chael Capaciy Aalysis For L-Mrc eceiver Over Η-µ Fadig Chael Samom Jayaada Sigh* Pallab Dua** *NEIST, Deparme of ECE, Iaagar, Aruachal Pradesh-799, Idia **Tezpur Uiversiy, Deparme of ECE, Tezpur, Assam,

More information

Convergence theorems. Chapter Sampling

Convergence theorems. Chapter Sampling Chaper Covergece heorems We ve already discussed he difficuly i defiig he probabiliy measure i erms of a experimeal frequecy measureme. The hear of he problem lies i he defiiio of he limi, ad his was se

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

More information

LIMITS OF FUNCTIONS (I)

LIMITS OF FUNCTIONS (I) LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,

More information

The Hyperbolic Model with a Small Parameter for. Studying the Process of Impact of a Thermoelastic. Rod against a Heated Rigid Barrier

The Hyperbolic Model with a Small Parameter for. Studying the Process of Impact of a Thermoelastic. Rod against a Heated Rigid Barrier Applied Mahemaical Scieces, Vol., 6, o. 4, 37-5 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.988/ams.6.6457 The Hyperbolic Model wih a Small Parameer for Sudyig he Process of Impac of a Thermoelasic Rod

More information

Research Article On a Class of q-bernoulli, q-euler, and q-genocchi Polynomials

Research Article On a Class of q-bernoulli, q-euler, and q-genocchi Polynomials Absrac ad Applied Aalysis Volume 04, Aricle ID 696454, 0 pages hp://dx.doi.org/0.55/04/696454 Research Aricle O a Class of -Beroulli, -Euler, ad -Geocchi Polyomials N. I. Mahmudov ad M. Momezadeh Easer

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay

CS623: Introduction to Computing with Neural Nets (lecture-10) Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay CS6: Iroducio o Compuig ih Neural Nes lecure- Pushpak Bhaacharyya Compuer Sciece ad Egieerig Deparme IIT Bombay Tilig Algorihm repea A kid of divide ad coquer sraegy Give he classes i he daa, ru he percepro

More information

Applying the Moment Generating Functions to the Study of Probability Distributions

Applying the Moment Generating Functions to the Study of Probability Distributions 3 Iformaica Ecoomică, r (4)/007 Applyi he Mome Geerai Fucios o he Sudy of Probabiliy Disribuios Silvia SPĂTARU Academy of Ecoomic Sudies, Buchares I his paper, we describe a ool o aid i provi heorems abou

More information

Introduction to Engineering Reliability

Introduction to Engineering Reliability 3 Iroducio o Egieerig Reliabiliy 3. NEED FOR RELIABILITY The reliabiliy of egieerig sysems has become a impora issue durig heir desig because of he icreasig depedece of our daily lives ad schedules o he

More information

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1

Sampling Example. ( ) δ ( f 1) (1/2)cos(12πt), T 0 = 1 Samplig Example Le x = cos( 4π)cos( π). The fudameal frequecy of cos 4π fudameal frequecy of cos π is Hz. The ( f ) = ( / ) δ ( f 7) + δ ( f + 7) / δ ( f ) + δ ( f + ). ( f ) = ( / 4) δ ( f 8) + δ ( f

More information

Prakash Chandra Rautaray 1, Ellipse 2

Prakash Chandra Rautaray 1, Ellipse 2 Prakash Chadra Rauara, Ellise / Ieraioal Joural of Egieerig Research ad Alicaios (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue, Jauar -Februar 3,.36-337 Degree Of Aroimaio Of Fucios B Modified Parial

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.

TAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions. Iera. J. Mah. & Mah. Si. Vol. 6 No. 3 (1983) 559-566 559 ASYMPTOTIC RELATIOHIPS BETWEEN TWO HIGHER ORDER ORDINARY DIFFERENTIAL EQUATIONS TAKA KUSANO laculy of Sciece Hrosh llersy 1982) ABSTRACT. Some asympoic

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

TIME RESPONSE Introduction

TIME RESPONSE Introduction TIME RESPONSE Iroducio Time repoe of a corol yem i a udy o how he oupu variable chage whe a ypical e ipu igal i give o he yem. The commoly e ipu igal are hoe of ep fucio, impule fucio, ramp fucio ad iuoidal

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information