UNSTEADY HEAT TRANSFER

Size: px
Start display at page:

Download "UNSTEADY HEAT TRANSFER"

Transcription

1

2 UNSADY HA RANSFR Mny h rnsfr problms rquir h undrsnding of h ompl im hisory of h mprur vriion. For mpl, in mllurgy, h h ring pross n b onrolld o dirly ff h hrrisis of h prossd mrils. Annling (slo ool) n sofn mls nd improv duiliy. On h ohr hnd, qunhing (rpid ool) n hrdn h srin boundry nd inrs srngh. In ordr o hrriz his rnsin bhvior, h full unsdy quion is ndd: 1, or hr = is h hrml diffusiviy

3 A hd/o body i is suddnly posd o fluid ih non h rnsfr offiin. ihr vlu h mprur givn im, or find im for givn mprur. Fig. 5.1 Q: Ho good n pproimion ould i b o sy h nnulr ylindr is mor or lss isohrml? A: Dpnds on h rliv imporn of h hrml onduiviy in h hrml irui omprd o h onviv h rnsfr offiin.

4 Bio No. Bi Dfind o dsrib h rliv rsisn in hrml irui of h onvion omprd Bi hl L / A 1/ ha Inrnl onduion rsisn ihin solid rnl onvion rsisn body surf L is hrrisi lngh of h body Bi : No onduion rsisn ll. h body is isohrml. Smll Bi: Conduion rsisn is lss imporn. h body my sill b pproimd s isohrml Lumpd pin nlysis n b prformd. Lrg Bi: Conduion rsisn is signifin. h body nno b rd s isohrml.

5 rnsin h rnsfr ih no inrnl rsisn: Lumpd rmr Anlysis Vlid for Bi<.1 ol Rsisn= R rnl + R inrnl Solid G: d d ha m p BC: i Soluion: l, hrfor d d ha m p

6 Lumpd rmr Anlysis ln i i i i i ha m p ha m p m p ha - o drmin h mprur givn im, or - o drmin h im rquird for h mprur o rh spifid vlu. No: mprur funion only of im nd no of sp!

7 ) p( V ha L Bi L L hl V ha 1 1 hrml diffusiviy: (m² s -1 ) Lumpd rmr Anlysis

8 Fo Lumpd rmr Anlysis Dfin Fo s h Fourir numbr (dimnsionlss im) L nd Bio numbr Bi = p(-bi*fo) hl h mprur vriion n b prssd s C hr L is hrrisi lngh sl : rl o h siz of h solid invlovd in h problm for mpl, L r o (hlf - rdius) hn h solid is ylindr. L r o 3 (on - hird rdius) hn h solid is sphr L L (hlf hinss) hn h solid is pln ll ih L hinss

9 Spil ffs nd h Rol of Anlyil Soluions h ln ll: Soluion o h H quion for ln ll ih Symmril Convion Condiions (, ) = i 1 (,) l i h ( L, ), h = -L *=/L, h =+L

10 h ln ll: No: On spil vribiliy of mprur is inludd, hr is isn of svn diffrn indpndn vribls. Ho my h funionl dpndn b simplifid? h nsr is Non-dimnsionlision. firs nd o undrsnd h physis bhind h phnomnon, idnify prmrs govrning h pross, nd group hm ino mningful nondimnsionl numbrs.

11 Dimnsionlss mprur diffrn: Dimnsionlss oordin: Dimnsionlss im: h Bio Numbr: * L Fo L hl Bi * solid * i i h soluion for mprur ill no b funion of h ohr non-dimnsionl quniis * f ( *, Fo, Bi ) * Soluion: * C p Fo os C n n 4sin sin n n1 n n n n h roos (ignvlus) of h quion n b obind from bls givn in sndrd boos. n n n Bi

12 h On-rm Approimion Fo. Fo Vriion of mid-pln mprur ih im ( * ) * C 1 p 1 i From bls givn in sndrd boos, on n obin C1 nd 1 s funion of Bi. Vriion of mprur ih loion ( * ) nd im ( Fo ): * * os 1 * Fo Chng in hrml nrgy sorg ih im: s Q sin 1 * Q Q 1 1 Q V i

13 Numril Mhods for Unsdy H rnsfr Unsdy h rnsfr quion, no gnrion, onsn, ondimnsionl in Crsin oordin: S h rm on h lf hnd sid of bov q. is h sorg rm, rising ou of umulion/dplion of h in h domin undr onsidrion. No h h q. is pril diffrnil quion s rsul of n r indpndn vribl, im (). h orrsponding grid sysm is shon in fig. on n slid.

14 (d) ) (d) ) Ingrion ovr h onrol volum nd ovr im inrvl givs CV v CV d SdV d dv d dv d V S d A A dv d

15 If h mprur nod is ssumd o prvil ovr h hol onrol volum, pplying h nrl diffrning shm, on obins: n d V S d A A V No, n ssumpion is md bou h vriion of, nd ih im. By gnrlizing h pproh by mns of ighing prmr f bn nd 1: f f d n 1 S f f n n n n n ) (1 Rping h sm oprion for poins nd,

16 ; ; ; ; Upon r-rrnging, dropping h suprsrip n, nd sing h quion ino h sndrd form f (1 f ) f (1 f ) f f (1 ) (1 ) b b S h im ingrion shm ould dpnd on h hoi of h prmr f. hn f =, h rsuling shm is plii ; hn < f 1, h rsuling shm is implii ; hn f = 1, h rsuling shm is fully implii, hn f = 1/, h rsuling shm is Crn-Niolson.

17 Vriion of ihin h im inrvl for diffrn shms f=.5 f= n f=1 +D plii shm Linrizing h sour rm s nd sing f = ( Su ) For sbiliy, ll offiins mus b posiiv in h disrizd quion. Hn, ( S )

18 ) ( ) ( h bov limiion on im sp suggss h h plii shm boms vry pnsiv o improv spil ury. Hn, his mhod is gnrlly no rommndd for gnrl rnsin problms. Crn-Niolson shm Sing f =.5, h Crn-Niolson disrision boms: b S 1 ) ( 1 p p u S S b 1 ; ; ; ;

19 For sbiliy, ll offiin mus b posiiv in h disrizd quion, rquiring ) ( h Crn-Niolson shm only slighly lss rsriiv hn h plii mhod. I is bsd on nrl diffrning nd hn i is sond-ordr ur in im. h fully implii shm Sing f = 1, h fully implii disrision boms: S ; ; ;

20 Gnrl rmrs: A sysm of lgbri quions mus b solvd h im lvl. h ury of h shm is firs-ordr in im. h im mrhing produr srs ih givn iniil fild of h slr. h sysm is solvd fr sling im sp Δ. For h implii shm, ll offiins r posiiv, hih ms i unondiionlly sbl for ny siz of im sp. Hn, h implii mhod is rommndd for gnrl purpos rnsin lulions bus of is robusnss nd unondiionl sbiliy.

UNSTEADY STATE HEAT CONDUCTION

UNSTEADY STATE HEAT CONDUCTION MODUL 5 UNADY A HA CONDUCION 5. Inroduion o his poin, hv onsidrd onduiv h rnsfr problms in hih h mprurs r indpndn of im. In mny ppliions, hovr, h mprurs r vrying ih im, nd rquir h undrsnding of h ompl

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

The Procedure Abstraction Part II: Symbol Tables and Activation Records

The Procedure Abstraction Part II: Symbol Tables and Activation Records Th Produr Absrion Pr II: Symbol Tbls nd Aivion Rords Th Produr s Nm Sp Why inrodu lxil soping? Provids ompil-im mhnism for binding vribls Ls h progrmmr inrodu lol nms How n h ompilr kp rk of ll hos nms?

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Analytical Solution of A Differential Equation that Predicts the Weather Condition by Lorenz Equations Using Homotopy Perturbation Method

Analytical Solution of A Differential Equation that Predicts the Weather Condition by Lorenz Equations Using Homotopy Perturbation Method Globl Journl of Pur nd Applid Mhmis. ISSN 0973-768 Volum 3, Numbr 207, pp. 8065-8074 Rsrh Indi Publiions hp://www.ripubliion.om Anlyil Soluion of A Diffrnil Equion h Prdis h Whr Condiion by Lornz Equions

More information

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01 CS 1 Algorim nd Progrm Exm Soluion Jonn Turnr 11/8/01 B n nd oni, u ompl. 1. (10 poin). Conidr vrion of or p prolm wi mulipliiv o. In i form of prolm, lng of p i produ of dg lng, rr n um. Explin ow or

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

Chapter 3. The Fourier Series

Chapter 3. The Fourier Series Chpr 3 h Fourir Sris Signls in h im nd Frquny Domin INC Signls nd Sysms Chpr 3 h Fourir Sris Eponnil Funion r j ros jsin ) INC Signls nd Sysms Chpr 3 h Fourir Sris Odd nd Evn Evn funion : Odd funion :

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

Section 2: The Z-Transform

Section 2: The Z-Transform Scion : h -rnsform Digil Conrol Scion : h -rnsform In linr discr-im conrol sysm linr diffrnc quion chrcriss h dynmics of h sysm. In ordr o drmin h sysm s rspons o givn inpu, such diffrnc quion mus b solvd.

More information

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value Asr Rsr Journl of Mngmn Sins ISSN 9 7 Vol. 8- Jnury Rs. J. Mngmn Si. Invnory Mngmn Modl wi udri Dmnd Vril Holding Cos wi Slvg vlu Mon R. nd Vnkswrlu R. F-Civil Dp of Mmis Collg of Miliry Enginring Pun

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

PHA Final Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Final Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: UFI#: PHA 527 Finl Exm Fll 2008 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pls rnsfr h nswrs ono h bubbl sh. Pls fill in ll h informion ncssry o idnify yourslf. h procors

More information

The Laplace Transform

The Laplace Transform Th Lplc Trnform Dfiniion nd propri of Lplc Trnform, picwi coninuou funcion, h Lplc Trnform mhod of olving iniil vlu problm Th mhod of Lplc rnform i ym h rli on lgbr rhr hn clculu-bd mhod o olv linr diffrnil

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2

Math 3301 Homework Set 6 Solutions 10 Points. = +. The guess for the particular P ( ) ( ) ( ) ( ) ( ) ( ) ( ) cos 2 t : 4D= 2 Mah 0 Homwork S 6 Soluions 0 oins. ( ps) I ll lav i o you o vrify ha y os sin = +. Th guss for h pariular soluion and is drivaivs is blow. Noi ha w ndd o add s ono h las wo rms sin hos ar xaly h omplimnary

More information

VIBRATION ANALYSIS OF CURVED SINGLE-WALLED CARBON NANOTUBES EMBEDDED IN AN ELASTIC MEDIUM BASED ON NONLOCAL ELASTICITY

VIBRATION ANALYSIS OF CURVED SINGLE-WALLED CARBON NANOTUBES EMBEDDED IN AN ELASTIC MEDIUM BASED ON NONLOCAL ELASTICITY VIBRATION ANASIS OF CURVED SINGE-AED CARBON NANOTUBES EMBEDDED IN AN EASTIC MEDIUM BASED ON NONOCA EASTICIT Pym Solni Amir Kssi Dprmn of Mchnicl Enginring Islmic Azd Univrsiy-Smnn Brnch Smnm Irn -mil:

More information

Midterm. Answer Key. 1. Give a short explanation of the following terms.

Midterm. Answer Key. 1. Give a short explanation of the following terms. ECO 33-00: on nd Bnking Souhrn hodis Univrsi Spring 008 Tol Poins 00 0 poins for h pr idrm Answr K. Giv shor xplnion of h following rms. Fi mon Fi mon is nrl oslssl produd ommodi h n oslssl sord, oslssl

More information

HIGHER ORDER DIFFERENTIAL EQUATIONS

HIGHER ORDER DIFFERENTIAL EQUATIONS Prof Enriqu Mtus Nivs PhD in Mthmtis Edution IGER ORDER DIFFERENTIAL EQUATIONS omognous linr qutions with onstnt offiints of ordr two highr Appl rdution mthod to dtrmin solution of th nonhomognous qution

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

PHA Second Exam. Fall 2007

PHA Second Exam. Fall 2007 PHA 527 Scond Exm Fll 2007 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pu ll nswrs on h bubbl sh OAL /30 ps Qusion S I (ru or Fls) (5 poins) ru (A) or Fls (B). On h bubbl

More information

PHA Final Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Final Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: PHA 5127 Finl Exm Fll 2012 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pls rnsfr h nswrs ono h bubbl sh. Th qusion numbr rfrs o h numbr on h bubbl sh. Pls fill in ll

More information

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. Nm: UFI #: PHA 527 Scond Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pu ll nswrs on h bubbl sh OAL /200 ps Nm: UFI #: Qusion S I (ru or Fls) (5 poins) ru (A)

More information

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. PHA 527 Firs Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Qusion S/Poins I. 30 ps II. III. IV 20 ps 5 ps 5 ps V. 25 ps VI. VII. VIII. IX. 0 ps 0 ps 0 ps 35 ps

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

( ) ( ) + = ( ) + ( )

( ) ( ) + = ( ) + ( ) Mah 0 Homwork S 6 Soluions 0 oins. ( ps I ll lav i o you vrify ha h omplimnary soluion is : y ( os( sin ( Th guss for h pariular soluion and is drivaivs ar, +. ( os( sin ( ( os( ( sin ( Y ( D 6B os( +

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue:

International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 5 Issue: Inrnionl Journl on Rn nd Innovion rnds in Compuing nd Communiion ISSN: -869 Volum: Issu: 78 97 Dvlopmn of n EPQ Modl for Drioring Produ wih Sok nd Dmnd Dpndn Produion r undr Vril Crrying Cos nd Pril Bklogging

More information

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

K x,y f x dx is called the integral transform of f(x). The function

K x,y f x dx is called the integral transform of f(x). The function APACE TRANSFORMS Ingrl rnform i priculr kind of mhmicl opror which ri in h nlyi of om boundry vlu nd iniil vlu problm of clicl Phyic. A funcion g dfind by b rlion of h form gy) = K x,y f x dx i clld h

More information

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011 plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr

More information

FREE VIBRATION AND BENDING ANALYSES OF CANTILEVER MICROTUBULES BASED ON NONLOCAL CONTINUUM MODEL

FREE VIBRATION AND BENDING ANALYSES OF CANTILEVER MICROTUBULES BASED ON NONLOCAL CONTINUUM MODEL Mhmicl nd Compuionl Applicions Vol. 15 o. pp. 89-98 1. Associion for Scinific Rsrch FREE VIBRATIO AD BEDIG AALYSES OF CATILEVER MICROTUBULES BASED O OLOCAL COTIUUM MODEL Ömr Civlk Çiğdm Dmir nd Bkir Akgöz

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

An Optimal Ordering Policy for Inventory Model with. Non-Instantaneous Deteriorating Items and. Stock-Dependent Demand

An Optimal Ordering Policy for Inventory Model with. Non-Instantaneous Deteriorating Items and. Stock-Dependent Demand Applid Mhmicl Scincs, Vol. 7, 0, no. 8, 407-4080 KA Ld, www.m-hikri.com hp://dx.doi.org/0.988/ms.0.56 An piml rdring Policy for nvnory Modl wih Non-nsnnous rioring ms nd Sock-pndn mnd Jsvindr Kur, jndr

More information

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture:

Lecture 11 Waves in Periodic Potentials Today: Questions you should be able to address after today s lecture: Lctur 11 Wvs in Priodic Potntils Tody: 1. Invrs lttic dfinition in 1D.. rphicl rprsnttion of priodic nd -priodic functions using th -xis nd invrs lttic vctors. 3. Sris solutions to th priodic potntil Hmiltonin

More information

Chapter 4 Multifield Surface Bone Remodeling

Chapter 4 Multifield Surface Bone Remodeling hr Mulifild Surf on Rmodling In hr, h horil nd numril rul of inrnl on rmodling wr rnd. Exnion o mulifild urf on rmodling i diud in hi hr. horil rdiion of urf on rmodling in h dihyi of h long on undr vriou

More information

Lecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9

Lecture contents. Bloch theorem k-vector Brillouin zone Almost free-electron model Bands Effective mass Holes. NNSE 508 EM Lecture #9 Lctur contnts Bloch thorm -vctor Brillouin zon Almost fr-lctron modl Bnds ffctiv mss Hols Trnsltionl symmtry: Bloch thorm On-lctron Schrödingr qution ch stt cn ccommo up to lctrons: If Vr is priodic function:

More information

LGOVNATDEFUSAAD

LGOVNATDEFUSAAD ECONOMETRIC PROBLEMS WITH TIME-SERIES DATA Sionriy: A sris is sid o covrinc sionry if is mn nd covrincs r unffcd y chng of im origin Qusion : Do you hink h following sris r sionry? Log Rl Nionl Dfnc Expndiurs

More information

CONTINUITY AND DIFFERENTIABILITY

CONTINUITY AND DIFFERENTIABILITY MCD CONTINUITY AND DIFFERENTIABILITY NCERT Solvd mpls upto th sction 5 (Introduction) nd 5 (Continuity) : Empl : Chck th continuity of th function f givn by f() = + t = Empl : Emin whthr th function f

More information

Stability of time-varying linear system

Stability of time-varying linear system KNWS 39 Sbiliy of im-vrying linr sysm An Szyd Absrc: In his ppr w considr sufficin condiions for h ponnil sbiliy of linr im-vrying sysms wih coninuous nd discr im Sbiliy gurning uppr bounds for diffrn

More information

TOPIC 5: INTEGRATION

TOPIC 5: INTEGRATION TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function

More information

Right Angle Trigonometry

Right Angle Trigonometry Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih

More information

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

A Tutorial of The Context Tree Weighting Method: Basic Properties

A Tutorial of The Context Tree Weighting Method: Basic Properties A uoril of h on r Wighing Mhod: Bic ropri Zijun Wu Novmbr 9, 005 Abrc In hi uoril, ry o giv uoril ovrvi of h on r Wighing Mhod. W confin our dicuion o binry boundd mmory r ourc nd dcrib qunil univrl d

More information

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics)

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics) Mh Lr # In-l Workh Vor n Mri (Bi) h n o hi lr, o hol l o: r mri n or in Mh i mri prorm i mri mh oprion ol m o linr qion ing mri mh. Cring Mri Thr r rl o r mri. Th "Inr Mri" Wino (M) B K Poin Rr o

More information

Lecture 6 Thermionic Engines

Lecture 6 Thermionic Engines Ltur 6 hrmioni ngins Rviw Rihrdson formul hrmioni ngins Shotty brrir nd diod pn juntion nd diod disussion.997 Copyright Gng Chn, MI For.997 Dirt Solr/hrml to ltril nrgy Convrsion WARR M. ROHSOW HA AD MASS

More information

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series DSP Firs, Lcur 7C Fourir Sris Empls: Common Priodic Signls READIG ASSIGMES his Lcur: Appndi C, Scion C- Vrious Fourir Sris Puls Wvs ringulr Wv Rcifid Sinusoids lso in Ch. 3, Sc. 3-5 Aug 6 3-6, JH McCllln

More information

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.

Decline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline. Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Equations and Boundary Value Problems

Equations and Boundary Value Problems Elmn Diffnil Equions nd Bound Vlu Poblms Bo. & DiPim, 9 h Ediion Chp : Sond Od Diffnil Equions 6 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ กด วล ยร ชต Topis Homognous

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

More information

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser Mr n FT Lcur 4CT.5 3CT.3-5,7,8 BME 333 Bimdicl Signls nd Sysms - J.Schssr 43 Highr Ordr Diffrniin d y d x, m b Y b X N n M m N M n n n m m n m n d m d n m Y n d f n [ n ] F d M m bm m X N n n n n n m p

More information

Exact Solutions for Some Nonlinear Partial Differential Equations in Mathematical Physics

Exact Solutions for Some Nonlinear Partial Differential Equations in Mathematical Physics ISSN 76-7659 Englnd K Journl of Informion nd Compuing Sin Vol. 6 No. pp. 9- E Soluions for Som Nonlinr Pril Diffrnil Equions in Mhmil Phsis A.R. Shh + E.M.E.Zd. * nd K.A.prl Mhmis Dprmn Ful of Sin Tif

More information

Stability and Optimal Harvesting of Modified Leslie-Gower Predator-Prey Model

Stability and Optimal Harvesting of Modified Leslie-Gower Predator-Prey Model Journl of Phsis: Confrn Sris PAPR OPN ACCSS Sbili nd Oiml rvsing of Modifid Lsli-Gowr Prdor-Pr Modl To i his ril: S Toh nd M I Azis 08 J. Phs.: Conf. Sr. 979 0069 Viw h ril onlin for uds nd nhnmns. This

More information

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA Second Exam. Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. UFI: PHA 527 Scond Exm Fll 2006 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Pu ll nswrs on h bubbl sh OAL /60 ps UFI: Qusion S I (ru or Fls) (25 poins) ru (A) or Fls (B).

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

More information

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t Coninuous im ourir rnsform Rviw. or coninuous-im priodic signl x h ourir sris rprsnion is x x j, j 2 d wih priod, ourir rnsform Wh bou priodic signls? W willl considr n priodic signl s priodic signl wih

More information

Speaker Identification using Spectrograms of Varying Frame Sizes

Speaker Identification using Spectrograms of Varying Frame Sizes Inrnionl Journl of Compur ppliions 975 8887) Volum 5 No.2, July 212 Spkr Idnifiion using Sprogrms of Vrying Frm Sizs H. B. Kkr Phd,Snior Profssor, Compur Dp., MPSTME, NMIMS Univrsiy Mumbi, 4-56, Indi.

More information

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8 STAT W 6 Discussion Fll 7..-.- If h momn-gnring funcion of X is M X ( ), Find h mn, vrinc, nd pmf of X.. Suppos discr rndom vribl X hs h following probbiliy disribuion: f ( ) 8 7, f ( ),,, 6, 8,. ( possibl

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013

Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013 Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl

More information

A modified hyperbolic secant distribution

A modified hyperbolic secant distribution Songklnkrin J Sci Tchnol 39 (1 11-18 Jn - Fb 2017 hp://wwwsjspsuch Originl Aricl A modifid hyprbolic scn disribuion Pnu Thongchn nd Wini Bodhisuwn * Dprmn of Sisics Fculy of Scinc Kssr Univrsiy Chuchk

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Life Science Journal 2014;11(9) An Investigation of the longitudinal fluctuations of viscoelastic cores

Life Science Journal 2014;11(9)   An Investigation of the longitudinal fluctuations of viscoelastic cores Lif Sin Journl (9) h://wwwlifiniom n Invigion of h longiuinl fluuion of violi or Kurnov Ni yg, Bjnov Vul Gmz Drmn of Gnrl Mh, Sumgi S Univriy, Sumgi, ZE 5, zrijn vul@gmilom r: I i nry o l rolm from ynmi

More information

Digital Signal Processing. Digital Signal Processing READING ASSIGNMENTS. License Info for SPFirst Slides. Fourier Transform LECTURE OBJECTIVES

Digital Signal Processing. Digital Signal Processing READING ASSIGNMENTS. License Info for SPFirst Slides. Fourier Transform LECTURE OBJECTIVES Digil Signl Procssing Digil Signl Procssing Prof. Nizmin AYDIN nydin@yildiz.du.r hp:www.yildiz.du.r~nydin Lcur Fourir rnsform Propris Licns Info for SPFirs Slids READING ASSIGNMENS his work rlsd undr Criv

More information

Chapter 4 Circular and Curvilinear Motions

Chapter 4 Circular and Curvilinear Motions Chp 4 Cicul n Cuilin Moions H w consi picls moing no long sigh lin h cuilin moion. W fis su h cicul moion, spcil cs of cuilin moion. Anoh mpl w h l sui li is h pojcil..1 Cicul Moion Unifom Cicul Moion

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

INF5820 MT 26 OCT 2012

INF5820 MT 26 OCT 2012 INF582 MT 26 OCT 22 H22 Jn Tor Lønnng l@.uo.no Tody Ssl hn rnslon: Th nosy hnnl odl Word-bsd IBM odl Trnng SMT xpl En o lgd n r d bygg..9 h.6 d.3.9 rgh.9 wh.4 buldng.45 oo.3 rd.25 srgh.7 by.3 onsruon.33

More information

Instructions for Section 1

Instructions for Section 1 Instructions for Sction 1 Choos th rspons tht is corrct for th qustion. A corrct nswr scors 1, n incorrct nswr scors 0. Mrks will not b dductd for incorrct nswrs. You should ttmpt vry qustion. No mrks

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7 CIVL / -D Boundr Vlu Prolms - Rctngulr Elmnts / RECANGULAR ELEMENS - In som pplictions, it m mor dsirl to us n lmntl rprsnttion of th domin tht hs four sids, ithr rctngulr or qudriltrl in shp. Considr

More information

Ch 1.2: Solutions of Some Differential Equations

Ch 1.2: Solutions of Some Differential Equations Ch 1.2: Solutions of Som Diffrntil Equtions Rcll th fr fll nd owl/mic diffrntil qutions: v 9.8.2v, p.5 p 45 Ths qutions hv th gnrl form y' = y - b W cn us mthods of clculus to solv diffrntil qutions of

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

V. Light amplification & Spontaneous emission

V. Light amplification & Spontaneous emission V. Lgh mplfon & Sponnous msson nrgy Lsrs r bsd on onnous msson nd lgh mplfon, hh r nds of qunum phnomnon. Ths hpr qunum mhnlly dsrbs lgh mplfon. nrgy lvl of n om A mr s omposd of oms, nd n om s omposd

More information

Fr Carrir : Carrir onntrations as a funtion of tmpratur in intrinsi S/C s. o n = f(t) o p = f(t) W will find that: n = NN i v g W want to dtrmin how m

Fr Carrir : Carrir onntrations as a funtion of tmpratur in intrinsi S/C s. o n = f(t) o p = f(t) W will find that: n = NN i v g W want to dtrmin how m MS 0-C 40 Intrinsi Smiondutors Bill Knowlton Fr Carrir find n and p for intrinsi (undopd) S/Cs Plots: o g() o f() o n( g ) & p() Arrhnius Bhavior Fr Carrir : Carrir onntrations as a funtion of tmpratur

More information

Estimation of Metal Recovery Using Exponential Distribution

Estimation of Metal Recovery Using Exponential Distribution Inrnaional rd Journal o Sinii sarh in Enginring (IJSE).irjsr.om Volum 1 Issu 1 ǁ D. 216 ǁ PP. 7-11 Esimaion o Mal ovry Using Exponnial Disribuion Hüsyin Ankara Dparmn o Mining Enginring, Eskishir Osmangazi

More information

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Erlkönig. t t.! t t. t t t tj tt. tj t tj ttt!t t. e t Jt e t t t e t Jt Gsng Po 1 Agio " " lkö (Compl by Rhol Bckr, s Moifi by Mrk S. Zimmr)!! J "! J # " c c " Luwig vn Bhovn WoO 131 (177) I Wr Who!! " J J! 5 ri ris hro' h spä h, I urch J J Nch rk un W Es n wil A J J is f

More information

Oppgavesett kap. 6 (1 av..)

Oppgavesett kap. 6 (1 av..) Oppgvstt kp. 6 (1 v..) hns.brnn@go.uio.no Problm 1 () Wht is homognous nucltion? Why dos Figur 6.2 in th book show tht w won't gt homognous nucltion in th tmosphr? ˆ Homognous nucltion crts cloud droplts

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information