Petroleum Reservoir Engineering by Non-linear Singular Integral Equations

Size: px
Start display at page:

Download "Petroleum Reservoir Engineering by Non-linear Singular Integral Equations"

Transcription

1 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Ptrolm Rsrvor Egrg b No-lar Sglar Itgral Eqatos E. G. Laopolos Itrpapr Rsarch Orgazato 8 Dma Str. Aths GR Grc Rcv: Agst 8 11 Accpt: Sptmbr 1 11 Pblsh: Dcmbr o:1.5539/mr.v11p URL: Abstract For th trmato of th proprts of svral rsrvor matrals wh ol rsrvs ar movg throgh poros ma a w mathmatcal approach s propos. Sch problm s vr mch mportat for ptrolm rsrvor grg. Ths th abov mto problm s rc to th solto of a o-lar sglar tgral qato whch s mrcall valat b sg th Sglar Itgral Oprators Mtho S.I.O.M.. Bo th abov svral proprts ar aalz a vstgat for th poros mm qato f as a Hlmholtz ffrtal qato. Fall a applcato s gv for a wll tstg to b chc wh a htrogos ol rsrvor s movg a poros mm. Hc b sg th S.I.O.M. th th prssr rspos from th wll tst coct th abov htrogos ol rsrvor s mrcall calclat a vstgat. Kwors: Sglar Itgral Oprators Mtho S.I.O.M. No-lar sglar tgral qato Ol rsrvs Poros ma Ptrolm rsrvor grg Hlmholtz ffrtal qato 1. Itrocto Th st of th movmt of ol rsrvs throgh poros ma s vr mch mportat problm o ptrolm rsrvor grg. Thrfor b applg a wll tst aalss th a hstor matchg procss tas plac for th trmato of th proprts of th rsrvor matrals. Th movmt of ol rsrvs throgh poros ma procs both sgl-phas a mltphas flows. Frthrmor f a wll tst s coct th th wll s sbct to a chag of th flow rat a th prssr rspos ca b frthr masr. For th trmato of svral ptrolm rsrvor paramtrs sch as prmablt th mrcal calclatos shol b s as aaltcal soltos most cass ar ot possbl to b rv. Drg th past ars svral varats of th Boar Elmt Mtho wr s for th solto of ptrolm rsrvor grg problms. At th of ght's Laf a Chg 1987 propos a BEM for th solto of sta flows htrogos sols. Drg th sam pro Masawa a Hor 1988 a Nmbr a Tab 1988 appl boar lmts for sta stat problms of straml tracg. Frthrmor Ka a Hor 199 solv trast problms b sg a Laplac spac boar lmt mol for th aalss of wll tsts svral arbtrarl shap rsrvors. Bo th abov Koh a Tab 1993 s boar lmts to scrb th flow aro tortos horzotal wlls for homogos or pcws homogos rsrvors. Sato a Hor ; appl prtrbato boar lmts for th st of htrogos rsrvors. Also El Harro Qazar Wrobl a Chg 1996 propos th s of a trasform form of Darc's law comb wth al rcproct boar lmt mtho to hal htrogt. O th othr ha Ow 1997 appl a Gr lmt mtho to sothrmal flows wth sco orr ractos. Th sam athor Ow O.O ; Ow O.O s a comb mtho of boar lmts togthr wth ft lmts for th st of htrogos rsrvors. Bo th abov Tagb a Ow 1997 appl a trast o-msoal trasport qato b sg a m Gr lmt mtho. Drg th last ars svral o-lar sglar tgral qato mthos wr s sccssfll b Laopolos Sprgr Vrlag for th solto of appl problms of sol mchacs ISSN E-ISSN

2 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 lastoamcs strctral aalss fl mchacs a aroamcs. Ths th prst rsarch th o-lar sglar tgral qatos wll b s orr to trm th proprts of th rsrvor matrals wh ol rsrvs ar movg throgh poros sols. B sg thrfor th Sglar Itgral Oprators Mtho S.I.O.M. th th prssr rspos from th wll tst coct a htrogos rsrvor wll b compt. Also som proprts of th poros mm qato whch s a Hlmholtz ffrtal qato ar propos a vstgat. Ths basc proprts of th famtal solto wll b aalz a vstgat. Fall a applcato s gv for a wll tstg to b vstgat wh a htrogos ol rsrvor s movg a poros mm. Th ths problm wll b solv b sg th Sglar Itgral Oprators Mtho a so th prssr rspos from th wll tst coct ths htrogos ol rsrvor wll b compt. Hc th o-lar sglar tgral qato mthos whch wr s wth bg sccss for th solto of svral grg problms of fl mchacs hralcs aroamcs sol mchacs lastoamcs a strctral aalss ar frthr t th prst st for th solto of ol rsrvor grg problms. I sch a cas th o-lar sglar tgral qatos ar s for th solto of o of th most mportat a trstg problms for ptrolm grs.. Wll Tst Aalss for Ol Rsrvor Ol wll tst aalss s a of a mportat hstor matchg procss for th trmato of th proprts of rsrvor matrals. Ths rg th movmt of ol rsrvor throgh poros ma th both sgl-phas a mltphas flow occrs. Also wh a ptrolm wll tst s coct th th wll s sbct to a chag of ts flow rat a th rsltg prssr rspos s possbl to b masr. Morovr ths prssr s compar to aaltcal or mrcal mols orr to stmat rsrvor paramtrs sch as prmablt. I gral a ol rsrvor wll tst a sgl-phas rsrvor s calclat b sg th poros mm qato: whch λ ots th prmablt th porost ξ th vscost p th prssr of th rsrvor t th tm a c t th comprssblt. B rplacg varabls as follows: th.1 ca b wrtt as: wth : Hc q..3 s a Hlmholtz ffrtal qato. Bo th abov cosr b th famtal solto of a pot bcas of th sorc pot. Th th famtal solto ca b gv b th followg qato: whch ma b frthr wrtt as: p c a.5b Ths q..5 s th Hlmholtz pottal qato govrg th famtal solto. Cosr frthr b th famtal solto chos so that to forc th Hlmholtz qato trms of th fcto a wa form. Th th wa form of Hlmholtz qato wll b wrtt as followg: 1/ p t 1/ p t 1/ Pblsh b Caaa Ctr of Scc a Ecato 3

3 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 ISSN E-ISSN th solto oma Ω. Also b applg th vrgc thorm oc.6 o obtas a smmtrc wa form:.7 whch ots th otwar ormal vctor of th srfac S. Thrfor th smmtrc wa form th fcto a th famtal solto ar ol rqr to b frst - orr ffrtabl. B applg frthr th vrgc thorm twc.6 w hav:.8 Hc.8 s th asmmtrc wa form a th famtal solto s rqr to b sco - orr ffrtabl. O th othr ha s ot rqr to b ffrtabl th oma Ω. B combg qs.5 a.8 th o obtas:.9 whch ca b frthr wrtt as:.1 whr q ots th pottal grat alog th otwar ormal rcto of th boar srfac:.11 a th rl fcto:.1 B ffrtatg.1 wth rspct to w obta th tgral qato for pottal grats b th followg formla: Famtal Solto's Basc Proprts Bo th abov w rwrt th wa form of.5 govrg th famtal solto as follows: 3.1 whr c ots a costat cosrg as th tst fcto. Also q. 3.1 ca b wrtt as: 3. Frthrmor 3. tas th form: 3.3 B cosrg frthr a arbtrar fcto Ω as th tst fcto th th wa form of.5 wll b wrtt as:. R q q R R q c c 1 1

4 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Pblsh b Caaa Ctr of Scc a Ecato a also as: 3.5 Fall 3.5 tas th form: 3.6 If approachs th smooth boar th th frst trm 3.6 ma b wrtt as: lm 3.7 th ss of a Cach Prcpal Val CPV tgral. For th rstag of th phscal mag of 3.7 w rwrt 3.3 a 3.6 as: 3.8 a: 3.9 B 3.8 follows that ol a half of th sorc fcto at pot s appl to th oma Ω wh th pot approachs a smooth boar. Also cosr aothr wa form of q.5 b spposg th vctor fctos to b th grats of a arbtrar fcto Ω chos sch a wa that th hav costat vals: for = Th th wa form of q.5 wll b wrtt as: 3.11 B applg frthr th vrgc thorm th q 3.11 tas th form: 3.1 Frthrmor th followg proprt sts: 3.13 B ag qs 3.1 a 3.13 th o obtas: 3.14 whch tas fall th form: 1 CPV CPV 1 CPV 1

5 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr Aalss b No-lar Sglar Itgral Eqatos Frthrmor th poros mm qato.1 wll b wrtt aothr form orr a sglar tgral qato rprstato to b applcabl: B applg frthr th Gr Elmt Mtho th q 4.1 rcs to th solto of a o-lar sglar tgral qato: whch: I orr th o-lar sglar tgral qato 4. to b mrcall valat th th Sglar Itgral Oprators Mtho S.I.O.M. wll b s. Ths th o-lar sglar tgral qato 4. s appromat b th formla: M l r r 1 p p p r p l r r l p t whr M ots th total mbr of lmts. Bo th abov w troc th followg fctos scrbg th prssr at a pot a lmt trms of th oal prssrs: p N p 4.5 B rplacg 4.5 th q 4.4 tas th form: whr: M 1 t Rt A p p r ct p l p c t B q l r r p t p l r r p 1 p l r r l p t A C l l p l c t D l 1 pl t l r r B l r r N N N l N l Cl l r r D l l r r N N l l ISSN E-ISSN

6 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr Wll Tstgs Applcatos Htrogos Rsrvors Th prvos mto thor wll b appl to th trmato of a wll tstg whch wll b chc a htrogos rsrvor wth a prmablt varg from 1 md to 3 md 1mDarc 1-1 m = 1μm. Hc b sg th Sglar Itgral Oprators Mtho S.I.O.M. as scrb th prvos paragraphs th t has b ffct th comptato of th prssr rspos from th wll tst coct th abov htrogos rsrvor. Frst of all th prssrs wr compt varato wth th tm. Ths Tabl 1 shows th prssr rspos wth rspct to th tm. Bo th abov th prssr rvatvs wr compt wth rspct to th tm as show Tabl. Sch rvatvs ar vr mch mportat of th wll tstgs trprtato as ths ar som stct shaps a spcall th charactrstcs of crta rsrvor fatrs. Th comptatoal rslts of th prssrs a th prssr rvatvs ar compar to th aaltcal soltos of th sam wll tstg problm f th rsrvor was homogos wth prmablt qal to 5 md. Ths th aaltcal rslts ar show Tabl 1 for th prssrs a Tabl for th prssr rvatvs corrspogl. From th abov Tabls t ca b s that thr s vr small ffrc btw th comptatoal rslts a th aaltcal soltos for both th prssrs a th prssr rvatvs. O th othr ha th abov mto small ffrc ca b pla bcas of th ffsv atr of th prssr trasport mchasm. Fall sam rslts ar show corrspogl Fgrs 1 a a thr-msoal form Fgrs 1a a a. 5. Coclsos I th prst vstgato a mathmatcal mol has b prst as a attmpt to trm th proprts of th rsrvor matrals. Ths th st of th movmt of ol rsrvs throgh poros ma s vr mportat for ptrolm rsrvor grs. Th abov mto problm was rc to th solto of a o-lar sglar tgral qato whch was mrcall valat b sg th Sglar Itgral Oprators Mtho S.I.O.M.. Frthrmor svral mportat proprts of th poros mm qato whch s a Hlmholtz ffrtal qato wr aalz a vstgat. Ths th famtal solto of th poros mm qato was propos a st. Also som basc proprts of th famtal solto wr frthr vstgat. Ths ar vr mportat orr th bhavor of th o-lar sglar tgral qato to b wll rstoo. A applcato was fall gv for a wll tstg to b chc wh a htrogos ol rsrvor s movg a poros sol. Th abov problm was solv b sg th Sglar Itgral Oprators Mtho a ths th prssr rspos from th wll tst coct th abov htrogos ol rsrvor was compt. Both th prssrs a th prssr rvatvs wr compt a ths vals wr compar to th aaltcal soltos of th sam wll tstg problm f th rsrvor was homogos wth a ma prmablt. Ovr th last ars o-lar sglar tgral qato mthos hav b s wth a bg sccss for th solto of svral mportat grg problms of strctral aalss lastoamcs hralcs fl mchacs a aroamcs. For th mrcal valato of th o-lar sglar tgral qatos of th abov problms wr s svral aspcts of th Sglar Itgral Oprators Mtho S.I.O.M.. Ths th prst rsarch sch mthos wr t for th solto of ol rsrvs problms ptrolm rsrvor grg. Rfrcs El Harro K. Oazar D. Wrobl L. C. & Chg A. H. D Global trpolato fcto bas DRBEM appl to Darc's flow htrogos ma. Egg Aal. Bo. Elm Ka J. A. & Hor R. N Prssr-trast aalss of arbtrarl shap rsrvors wth th boar lmt mtho. SPE Form. Eval Koh L.S. & Tab D A boar lmt algorthm for mollg 3D horzotal wlls problms sg D grs. SPE Ptrol. Comptr Cof. Nw Orlas LA pp Laopolos E. G No-lar tgro-ffrtal qatos s orthotropc sphrcal shll aalss. Mch. Rs. Comm Laopolos E. G No-lar tgro-ffrtal qatos sawch plats strss aalss. Mch. Rs. Comm Pblsh b Caaa Ctr of Scc a Ecato 7

7 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Laopolos E. G No-lar sglar tgral comptatoal aalss for sta flow problms. Rw. Erg Laopolos E. G No-lar sglar tgral rprstato for sta vsc flowfls of -D arfols. Mch. Rs. Comm Laopolos E. G No-lar sglar tgral rprstato aalss for vsc flowfls of sta arfols. It. J. No-L. Mch Laopolos E. G.. No-lar mltmsoal sglar tgral qatos -msoal fl mchacs aalss. It. J. No-L. Mch Laopolos E. G.. Sglar Itgral Eqatos Lar a No-Lar Thor a ts Applcatos Scc a Egrg. Sprgr Vrlag Nw Yor Brl. Laopolos E. G. 3. No-lar two-msoal aroamcs b mltmsoal sglar tgral comptatoal aalss. Forsch. Ig Laopolos E. G. 5. No-lar sglar tgral qatos lastoamcs b sg Hlbrt trasformatos. Nol. Aal. Ral Worl Appl Laopolos E. G. & Zss V. A.. No-lar ft-part sglar tgral qatos arsg two-msoal fl mchacs. Nol. Aal. Th. Mth. Appl Laf. O. E. & Chg A. H-D A prtrbato boar lmt co for sta stat growatr flow htrogos aqfrs. Watr Rsor. Rs Masawa J. & Hor R. N Applcato of th boar tgral mtho to mmscbl splacmt problms. SPE Rsrv. Egg Nmbr D. T. & Tab D A mprov straml gratg tchq that ss th boar tgral lmt mtho. SPE Rsrv. Egg Ow O. O A Gr lmt tratmt of sothrmal flow wth sco orr racto. It. Comm. Hat Mass Trasfr Ow O. O A boar lmt - ft lmt qatos solto to flow htrogos poros ma. Tras. Poros Ma Ow O. O Boar tgral procrs for satrat flow problms. Tras. Poros Ma Sato K. & Hor R. N Prtrbato boar lmt mtho for htrogos rsrvors: Part 1 - Sta - stat flow problms. SPE Form. Eval Sato K. & Hor R. N Prtrbato boar lmt mtho for htrogos rsrvors: Part - Trast flow problms. SPE Form. Eval Tagb A. E. & Ow O. O Trast 1D trasport qato smlat b a m Gr lmt formlato. It. J. Nmr. Mth. Egg ISSN E-ISSN

8 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Tabl 1. Tm hors Prssr ps S.I.O.M. Prssr ps Aaltcal Tabl. Tm hors Prssr Drvatv ps S.I.O.M. Prssr Drvatv ps Aaltcal Pblsh b Caaa Ctr of Scc a Ecato 9

9 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Fgr 1. Prssr Rspos for Wll Tst Htrogos Rsrvor Fgr 1a. 3-D Dstrbto of Prssr Rspos for Wll Tst Htrogos Rsrvor 1 ISSN E-ISSN

10 Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Fgr. Prssr Drvatv for Wll Tst Htrogos Rsrvor Fgr a. 3-D Dstrbto of Prssr Drvatv for Wll Tst Htrogos Rsrvor Pblsh b Caaa Ctr of Scc a Ecato 11

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS Chaptr 4 NUMERICL METHODS FOR SOLVING BOUNDRY-VLUE PROBLEMS 00 4. Varatoal formulato two-msoal magtostatcs Lt th followg magtostatc bouar-valu problm b cosr ( ) J (4..) 0 alog ΓD (4..) 0 alog ΓN (4..)

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP)

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP) th Topc Compl Nmbrs Hyprbolc fctos ad Ivrs hyprbolc fctos, Rlato btw hyprbolc ad crclar fctos, Formla of hyprbolc fctos, Ivrs hyprbolc fctos Prpard by: Prof Sl Dpartmt of Mathmatcs NIT Hamrpr (HP) Hyprbolc

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Estimators for Finite Population Variance Using Mean and Variance of Auxiliary Variable

Estimators for Finite Population Variance Using Mean and Variance of Auxiliary Variable Itratoal Jal o Probablt a tattc 5 : - DOI:.59/j.jp.5. tmat Ft Poplato Varac U Ma a Varac o Alar Varabl Ph Mra * R. Kara h Dpartmt o tattc Lcow Urt Lcow Ia Abtract F tmat t poplato arac mato o l alar arabl

More information

Preprint of the paper

Preprint of the paper Prprt o t papr "O t rsolto o t scos comprssbl lo or aros SUPG t lmt ormlatos" P. Vllao J. Prtas J. ollo J. F () CD Procgs o t ECCOMAS corc arcloa -4 Sptmbr (IS 84-8995-7-4). ttp://camos.c.s/gm Eropa Cogrss

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

Estimation of Population Variance Using a Generalized Double Sampling Estimator

Estimation of Population Variance Using a Generalized Double Sampling Estimator r Laka Joural o Appl tatstcs Vol 5-3 stmato o Populato Varac Us a Gralz Doubl ampl stmator Push Msra * a R. Kara h Dpartmt o tatstcs D.A.V.P.G. Coll Dhrau- 8 Uttarakha Ia. Dpartmt o tatstcs Luckow Uvrst

More information

Correlation in tree The (ferromagnetic) Ising model

Correlation in tree The (ferromagnetic) Ising model 5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.

More information

Positive unstable electrical circuits

Positive unstable electrical circuits Taz KZOEK alyto Uvrty of Tchology Faclty of Elctrcal Egrg Potv tabl lctrcal crct btract: Th tablty for th potv lar lctrcal crct compo of rtor col coator a voltag crrt orc ar ar Thr ffrt cla of th potv

More information

Aotomorphic Functions And Fermat s Last Theorem(4)

Aotomorphic Functions And Fermat s Last Theorem(4) otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..

More information

FINITE ELEMENT METHOD: AN INTRODUCTION Uday S. Dixit Department of Mechanical Engineering, Indian Institute of Technology Guwahati , India

FINITE ELEMENT METHOD: AN INTRODUCTION Uday S. Dixit Department of Mechanical Engineering, Indian Institute of Technology Guwahati , India FIITE ELEMET METHOD: A ITRODUCTIO Uda S. Dt Dpartmt of Mchacal Egrg, Ida Isttt of Tcholog Gwahat-78 39, Ida. Itrodcto Ft lmt mthod (FEM s a mrcal mthod for solg a dffrtal or tgral qato. It has b appld

More information

Note: Torque is prop. to current Stationary voltage is prop. to speed

Note: Torque is prop. to current Stationary voltage is prop. to speed DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq

More information

Lecture 1: Empirical economic relations

Lecture 1: Empirical economic relations Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

GALERKIN FINITE ELEMENT METHOD AND FINITE DIFFERENCE METHOD FOR SOLVING CONVECTIVE NON-LINEAR EQUATION

GALERKIN FINITE ELEMENT METHOD AND FINITE DIFFERENCE METHOD FOR SOLVING CONVECTIVE NON-LINEAR EQUATION Cêca/Scc GALERKI FIITE ELEMET METHOD AD FIITE DIFFERECE METHOD FOR SOLVIG COVECTIVE O-LIEAR EQUATIO E. C. Romão a, M. D. d Campos b, ad L. F. M. d Mora b a Uvrsdad Fdral d Itabá Camps Avaçado d Itabra

More information

COMPUTATION OF TOPOLOGICAL INDICES OF INTERSECTION GRAPHS AND CONCENTRIC WHEELS GRAPH

COMPUTATION OF TOPOLOGICAL INDICES OF INTERSECTION GRAPHS AND CONCENTRIC WHEELS GRAPH TH PUBLISHIN HOUS PROCDINS OF TH ROMANIAN ACADMY Srs A OF TH ROMANIAN ACADMY ol Nbr /00x pp 8 90 COMPUTATION OF TOPOLOICAL INDICS OF INTRSCTION RAPHS AND CONCNTRIC WHLS RAPH Mh ALAIYAN Rasol MOJARAD Jafar

More information

DYNAMIC ANALYSIS OF ELASTIC-PLASTIC SATURATED POROUS MEDIA BY THE BOUNDARY ELEMENT METHOD

DYNAMIC ANALYSIS OF ELASTIC-PLASTIC SATURATED POROUS MEDIA BY THE BOUNDARY ELEMENT METHOD ISSN 189-586 DYNAMIC ANALYSIS F ELASTIC-LASTIC SATRATED RS MEDIA BY THE BNDARY ELEMENT METHD Dlfm Soars Jor 1 José Cláo Fara Tlls 2 & W João Masr 3 Astract Ths ar rsts a tm-oma oary lmt formlato for th

More information

Second Handout: The Measurement of Income Inequality: Basic Concepts

Second Handout: The Measurement of Income Inequality: Basic Concepts Scod Hadout: Th Masurmt of Icom Iqualty: Basc Cocpts O th ormatv approach to qualty masurmt ad th cocpt of "qually dstrbutd quvalt lvl of com" Suppos that that thr ar oly two dvduals socty, Rachl ad Mart

More information

ANALYSIS OF PLATE BENDING BY THE BOUNDARY ELEMENT METHOD CONSIDERING PASTERNAK-TYPE FOUNDATION

ANALYSIS OF PLATE BENDING BY THE BOUNDARY ELEMENT METHOD CONSIDERING PASTERNAK-TYPE FOUNDATION Blhr haal Egrg rogs ay 04 vol. m. www.rogs.blhr.om.br/vto/0wm AALYSIS OF LATE BEDIG BY THE BODARY ELEET ETHOD COSIDERIG ASTERAK-TYE FODATIO V. J. Karam. Altoé. S. Rbro Laboratóro Eghara Cvl Ctro Cêa Tologa

More information

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1)

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1) Math Trcks r! Combato - umbr o was to group r o objcts, ordr ot mportat r! r! ar 0 a r a s costat, 0 < r < k k! k 0 EX E[XX-] + EX Basc Probablt 0 or d Pr[X > ] - Pr[X ] Pr[ X ] Pr[X ] - Pr[X ] Proprts

More information

Statistical Thermodynamics Essential Concepts. (Boltzmann Population, Partition Functions, Entropy, Enthalpy, Free Energy) - lecture 5 -

Statistical Thermodynamics Essential Concepts. (Boltzmann Population, Partition Functions, Entropy, Enthalpy, Free Energy) - lecture 5 - Statstcal Thrmodyamcs sstal Cocpts (Boltzma Populato, Partto Fuctos, tropy, thalpy, Fr rgy) - lctur 5 - uatum mchacs of atoms ad molculs STATISTICAL MCHANICS ulbrum Proprts: Thrmodyamcs MACROSCOPIC Proprts

More information

In 1991 Fermat s Last Theorem Has Been Proved

In 1991 Fermat s Last Theorem Has Been Proved I 99 Frmat s Last Thorm Has B Provd Chu-Xua Jag P.O.Box 94Bg 00854Cha Jcxua00@s.com;cxxxx@6.com bstract I 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

Numerical Method: Finite difference scheme

Numerical Method: Finite difference scheme Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from

More information

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are Itratoal Joural Of Computatoal Egrg Rsarch (crol.com) Vol. Issu. 5 Total Prm Graph M.Rav (a) Ramasubramaa 1, R.Kala 1 Dpt.of Mathmatcs, Sr Shakth Isttut of Egrg & Tchology, Combator 641 06. Dpt. of Mathmatcs,

More information

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality Foolig Nwto s Mthod a Fid a formla for th Nwto sqc, ad vrify that it covrgs to a ozro of f. ( si si + cos 4 4 3 4 8 8 bt f. b Fid a formla for f ( ad dtrmi its bhavior as. f ( cos si + as A Stirlig-li

More information

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data saqartvlos mcrbata rovul akadms moamb, t 9, #2, 2015 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o 2, 2015 Mathmatcs O Estmato of Ukow Paramtrs of Epotal- Logarthmc Dstrbuto by Csord

More information

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty 3 Bary Choc LPM logt logstc rgrso probt Multpl Choc Multomal Logt (c Pogsa Porchawssul,

More information

Radial Distribution Function. Long-Range Corrections (1) Temperature. 3. Calculation of Equilibrium Properties. Thermodynamics Properties

Radial Distribution Function. Long-Range Corrections (1) Temperature. 3. Calculation of Equilibrium Properties. Thermodynamics Properties . Calculato o qulbrum Prorts. hrmodamc Prorts mratur, Itral rg ad Prssur Fr rg ad tro. Calculato o Damc Prorts Duso Coct hrmal Coductvt Shar scost Irard Absorto Coct k k k mratur m v Rmmbr hrmodamcs or

More information

Entropy Equation for a Control Volume

Entropy Equation for a Control Volume Fudamtals of Thrmodyamcs Chaptr 7 Etropy Equato for a Cotrol Volum Prof. Syoug Jog Thrmodyamcs I MEE2022-02 Thrmal Egrg Lab. 2 Q ds Srr T Q S2 S1 1 Q S S2 S1 Srr T t t T t S S s m 1 2 t S S s m tt S S

More information

Cloth Simulation. Simulation in Computer Graphics University of Freiburg WS 05/06

Cloth Simulation. Simulation in Computer Graphics University of Freiburg WS 05/06 Clot Smlato Smlato Comptr Grapcs Urst of Frbrg WS 05/06 D. Baraff A. Wtk. Larg stps clot smlato. Sggrap 98 pp. 43-54 998 Ackoldgmt Ts sld st s basd o t follog sorcs: D. Baraff A. Wtk. Larg stps clot smlato.

More information

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca** ERDO-MARANDACHE NUMBER b Tbrc* Tt Tbrc** *Trslv Uvrsty of Brsov, Computr cc Dprtmt **Uvrsty of Mchstr, Computr cc Dprtmt Th strtg pot of ths rtcl s rprstd by rct work of Fch []. Bsd o two symptotc rsults

More information

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System

Interaction Between an Embedded Crack and an Interface Crack in Nonhomogeneous Coating System Mrls Scc Form Vols. 9-9 (5) pp 97- Ol vll sc 5/g/5 www.scc. (5) Trs Tch Plcos Swzrl o:.8/www.scc./msf.9-9.97 Irco Bw Em Crck Irc Crck Nohomogos Cog Ssm E.E. Thookoglo G.H. Plo Fcl o ppl Sccs Dp. o Mchcs-L.

More information

Lecture 6 - SISO Loop Analysis

Lecture 6 - SISO Loop Analysis Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D {... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data pots

More information

Independent Domination in Line Graphs

Independent Domination in Line Graphs Itratoal Joural of Sctfc & Egrg Rsarch Volum 3 Issu 6 Ju-1 1 ISSN 9-5518 Iddt Domato L Grahs M H Muddbhal ad D Basavarajaa Abstract - For ay grah G th l grah L G H s th trscto grah Thus th vrtcs of LG

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Unbalanced Panel Data Models

Unbalanced Panel Data Models Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr

More information

Chiang Mai J. Sci. 2014; 41(2) 457 ( 2) ( ) ( ) forms a simply periodic Proof. Let q be a positive integer. Since

Chiang Mai J. Sci. 2014; 41(2) 457 ( 2) ( ) ( ) forms a simply periodic Proof. Let q be a positive integer. Since 56 Chag Ma J Sc 0; () Chag Ma J Sc 0; () : 56-6 http://pgscccmuacth/joural/ Cotrbutd Papr Th Padova Sucs Ft Groups Sat Taș* ad Erdal Karaduma Dpartmt of Mathmatcs, Faculty of Scc, Atatürk Uvrsty, 50 Erzurum,

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 St Ssts o Ordar Drtal Equatos Novbr 7 St Ssts o Ordar Drtal Equatos Larr Cartto Mcacal Er 5A Sar Er Aalss Novbr 7 Outl Mr Rsults Rvw last class Stablt o urcal solutos Stp sz varato or rror cotrol Multstp

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

FAST ERROR WHITENING ALGORITHMS FOR SYSTEM IDENTIFICATION AND CONTROL WITH NOISY DATA

FAST ERROR WHITENING ALGORITHMS FOR SYSTEM IDENTIFICATION AND CONTROL WITH NOISY DATA FAS O WHIIG AGOIHMS FO SYSM IDIFICAIO AD COO WIH OISY DAA Yaaaa. ao, Dz rogms, Gtha Y. ao, Jos C. Prcp Comptatoal rogrg aboratory lctrcal a Comptr grg Dpartmt Uvrsty of Flora, B 486, Gasvll, F 36-630 ya,

More information

On the Possible Coding Principles of DNA & I Ching

On the Possible Coding Principles of DNA & I Ching Sctfc GOD Joural May 015 Volum 6 Issu 4 pp. 161-166 Hu, H. & Wu, M., O th Possbl Codg Prcpls of DNA & I Chg 161 O th Possbl Codg Prcpls of DNA & I Chg Hupg Hu * & Maox Wu Rvw Artcl ABSTRACT I ths rvw artcl,

More information

ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS

ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS ACENA Vo.. 03-08 005 03 ON THE RELATION BETWEEN THE CAUSAL BESSEL DERIVATIVE AND THE MARCEL RIESZ ELLIPTIC AND HYPERBOLIC KERNELS Rub A. CERUTTI RESUMEN: Cosrao os úcos Rsz coo casos artcuars úco causa

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

ONLY AVAILABLE IN ELECTRONIC FORM

ONLY AVAILABLE IN ELECTRONIC FORM OPERTIONS RESERH o.287/opr.8.559c pp. c c8 -copao ONLY VILLE IN ELETRONI FORM fors 28 INFORMS Elctroc opao Optzato Mols of scrt-evt Syst yacs by Wa K (Vctor ha a L Schrub, Opratos Rsarch, o.287/opr.8.559.

More information

ASYMPTOTIC AND TOLERANCE 2D-MODELLING IN ELASTODYNAMICS OF CERTAIN THIN-WALLED STRUCTURES

ASYMPTOTIC AND TOLERANCE 2D-MODELLING IN ELASTODYNAMICS OF CERTAIN THIN-WALLED STRUCTURES AYMPTOTIC AD TOLERACE D-MODELLIG I ELATODYAMIC OF CERTAI THI-WALLED TRUCTURE B. MICHALAK Cz. WOŹIAK Dpartmt of tructural Mchacs Lodz Uvrsty of Tchology Al. Poltrchk 6 90-94 Łódź Polad Th objct of aalyss

More information

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding...

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding... Chmical Physics II Mor Stat. Thrmo Kintics Protin Folding... http://www.nmc.ctc.com/imags/projct/proj15thumb.jpg http://nuclarwaponarchiv.org/usa/tsts/ukgrabl2.jpg http://www.photolib.noaa.gov/corps/imags/big/corp1417.jpg

More information

pn Junction Under Reverse-Bias Conditions 3.3 Physical Operation of Diodes

pn Junction Under Reverse-Bias Conditions 3.3 Physical Operation of Diodes 3.3 Physcal Orato of os Jucto Ur vrs-bas Cotos rft Currt S : ato to th ffuso Currt comot u to majorty carrr ffuso, caus by thrmally grat morty carrrs, thr ar two currt comots lctros mov by rft from to

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which? 5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,

More information

MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY. e S(A)/ da, h N

MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY. e S(A)/ da, h N MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY 9 4. Matrx tgrals Lt h N b th spac of Hrmta matrcs of sz N. Th r product o h N s gv by (A, B) = Tr(AB). I ths scto w wll cosdr tgrals of th form Z

More information

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst

More information

Iranian Journal of Mathematical Chemistry, Vol. 2, No. 2, December 2011, pp (Received September 10, 2011) ABSTRACT

Iranian Journal of Mathematical Chemistry, Vol. 2, No. 2, December 2011, pp (Received September 10, 2011) ABSTRACT Iraa Joral of Mathatcal Chstry Vol No Dcbr 0 09 7 IJMC Two Tys of Gotrc Arthtc dx of V hylc Naotb S MORADI S BABARAHIM AND M GHORBANI Dartt of Mathatcs Faclty of Scc Arak Ursty Arak 856-8-89 I R Ira Dartt

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4.

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4. Coutg th compostos of a postv tgr usg Gratg Fuctos Start wth,... - Whr, for ampl, th co-ff of s, for o summad composto of aml,. To obta umbr of compostos of, w d th co-ff of (...) ( ) ( ) Hr for stac w

More information

Math 656 March 10, 2011 Midterm Examination Solutions

Math 656 March 10, 2011 Midterm Examination Solutions Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or

More information

Almost all Cayley Graphs Are Hamiltonian

Almost all Cayley Graphs Are Hamiltonian Acta Mathmatca Sca, Nw Srs 199, Vol1, No, pp 151 155 Almost all Cayly Graphs Ar Hamltoa Mg Jxag & Huag Qogxag Abstract It has b cocturd that thr s a hamltoa cycl vry ft coctd Cayly graph I spt of th dffculty

More information

Three-Dimensional Theory of Nonlinear-Elastic. Bodies Stability under Finite Deformations

Three-Dimensional Theory of Nonlinear-Elastic. Bodies Stability under Finite Deformations Appld Mathmatcal Sccs ol. 9 5 o. 43 75-73 HKAR Ltd www.m-hkar.com http://dx.do.org/.988/ams.5.567 Thr-Dmsoal Thory of Nolar-Elastc Bods Stablty udr Ft Dformatos Yu.. Dmtrko Computatoal Mathmatcs ad Mathmatcal

More information

Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information

Study on 2-tuple Linguistic Assessment Method based on Grey Cluster with Incomplete Attribute Weight Information Procgs of 2009 IEEE Itratoal Cofrc o Systs, Ma, a Cybrtcs Sa Atoo, TX, USA - Octobr 2009 Sty o 2-tpl Lgstc Asssst Mo bas o Gry Clstr w Icoplt Attrbt Wght Iforato Cha M IEEE Mbr, Sfg L, Yaogo Dag, Jaglg

More information

Third Order Shear Deformation Theory for Modeling of Laminated Composite Plates

Third Order Shear Deformation Theory for Modeling of Laminated Composite Plates E X tratoal ogrss ad Eposto o Eprmtal ad ppld cacs osta sa J Trd Ordr ar Dformato Tor for odlg of Lamatd ompost lats Rastgaar agaa. aa Jaar G.* aar G. Dpartmt of cacal Egrg ad ppld cacs ort Daota tat Urst

More information

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation Lonardo Jornal of Scncs ISSN 583-033 Iss 9, Jly-Dcmbr 006 p. 45-5 Th Pnalty Cost Fnctonal for th Two-Dmnsonal Enrgd Wav Eqaton Vctor Onoma WAZIRI, Snday Agsts REJU Mathmatcs/Comptr Scnc dpartmnt, Fdral

More information

The real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k.

The real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k. Modr Smcoductor Dvcs for Itgratd rcuts haptr. lctros ad Hols Smcoductors or a bad ctrd at k=0, th -k rlatoshp ar th mmum s usually parabolc: m = k * m* d / dk d / dk gatv gatv ffctv mass Wdr small d /

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

Graphs of q-exponentials and q-trigonometric functions

Graphs of q-exponentials and q-trigonometric functions Grahs of -otals ad -trgoomtrc fuctos Amla Carola Saravga To ct ths vrso: Amla Carola Saravga. Grahs of -otals ad -trgoomtrc fuctos. 26. HAL Id: hal-377262 htts://hal.archvs-ouvrts.fr/hal-377262

More information

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of

FOURIER SERIES. Series expansions are a ubiquitous tool of science and engineering. The kinds of Do Bgyoko () FOURIER SERIES I. INTRODUCTION Srs psos r ubqutous too o scc d grg. Th kds o pso to utz dpd o () th proprts o th uctos to b studd d (b) th proprts or chrctrstcs o th systm udr vstgto. Powr

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

a 1and x is any real number.

a 1and x is any real number. Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars

More information

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space.

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space. Rpatd Trals: As w hav lood at t, th thory of probablty dals wth outcoms of sgl xprmts. I th applcatos o s usually trstd two or mor xprmts or rpatd prformac or th sam xprmt. I ordr to aalyz such problms

More information

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar

More information

Pion Production via Proton Synchrotron Radiation in Strong Magnetic Fields in Relativistic Quantum Approach

Pion Production via Proton Synchrotron Radiation in Strong Magnetic Fields in Relativistic Quantum Approach Po Producto va Proto Sychrotro Radato Strog Magtc Flds Rlatvstc Quatum Approach Partcl Productos TV Ergy Rgo Collaborators Toshtaka Kajo Myog-K Chou Grad. J. MATHEWS Tomoyuk Maruyama BRS. Nho Uvrsty NaO,

More information

Power Spectrum Estimation of Stochastic Stationary Signals

Power Spectrum Estimation of Stochastic Stationary Signals ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:

More information

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )):

u(x, t) = u 0 (x ct). This Riemann invariant u is constant along characteristics λ with x = x 0 +ct (u(x, t) = u 0 (x 0 )): x, t, h x The Frst-Order Wave Eqato The frst-order wave advecto eqato s c > 0 t + c x = 0, x, t = 0 = 0x. The solto propagates the tal data 0 to the rght wth speed c: x, t = 0 x ct. Ths Rema varat s costat

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( )

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( ) Sprg Ch 35: Statstcal chacs ad Chcal Ktcs Wghts... 9 Itrprtg W ad lw... 3 What s?... 33 Lt s loo at... 34 So Edots... 35 Chaptr 3: Fudatal Prcpls of Stat ch fro a spl odl (drvato of oltza dstrbuto, also

More information

Multi-Machine Systems with Constant Impedance Loads

Multi-Machine Systems with Constant Impedance Loads Mult-Mach Systms wth Costat Impac Loas Th parts of th txt whch w hav yt to covr clu: Chaptr 3: Systm rspos to small sturbacs Chaptr 6: Lar mols of sychroous machs Chaptrs 7-8: Exctato systms a Effct of

More information

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM Sc. Rs. hm. ommn.: (3, 0, 77-8 ISSN 77-669 ANALYTIITY THEOREM FOR FRATIONAL LAPLAE TRANSFORM P. R. DESHMUH * and A. S. GUDADHE a Prof. Ram Mgh Insttt of Tchnology & Rsarch, Badnra, AMRAVATI (M.S. INDIA

More information

Two-Dimensional Quantum Harmonic Oscillator

Two-Dimensional Quantum Harmonic Oscillator D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr

More information

EE 570: Location and Navigation: Theory & Practice

EE 570: Location and Navigation: Theory & Practice EE 570: ocato ad Navgato: Thory & Practc Navgato Mathmatcs Thursay 7 F 2013 NMT EE 570: ocato ad Navgato: Thory & Practc Sld 1 of 15 Navgato Mathmatcs : Coordat Fram Trasformatos Dtrm th dtald kmatc rlatoshps

More information

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c L i f e t i m e M a n a g e m e n t o f F l a-b s ah s e d S S D s U s i n g R e c o v e r-a y w a r e D y n a m i c T h r o t t l i n g S u n g j i n L e, e T a e j i n K i m, K y u n g h o, Kainmd J

More information

Exercises for lectures 23 Discrete systems

Exercises for lectures 23 Discrete systems Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

Estimation of the Present Values of Life Annuities for the Different Actuarial Models

Estimation of the Present Values of Life Annuities for the Different Actuarial Models h Scod Itratoal Symposum o Stochastc Modls Rlablty Egrg, Lf Scc ad Opratos Maagmt Estmato of th Prst Valus of Lf Auts for th Dffrt Actuaral Modls Gady M Koshk, Oaa V Guba omsk Stat Uvrsty Dpartmt of Appld

More information

Odd Generalized Exponential Flexible Weibull Extension Distribution

Odd Generalized Exponential Flexible Weibull Extension Distribution Odd Gralzd Epotal Flbl Wbull Etso Dstrbuto Abdlfattah Mustafa Mathmatcs Dpartmt Faculty of Scc Masoura Uvrsty Masoura Egypt abdlfatah mustafa@yahoo.com Bh S. El-Dsouy Mathmatcs Dpartmt Faculty of Scc Masoura

More information

Chapter 6. pn-junction diode: I-V characteristics

Chapter 6. pn-junction diode: I-V characteristics Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Electromagnetics Research Group A THEORETICAL MODEL OF A LOSSY DIELECTRIC SLAB FOR THE CHARACTERIZATION OF RADAR SYSTEM PERFORMANCE SPECIFICATIONS

Electromagnetics Research Group A THEORETICAL MODEL OF A LOSSY DIELECTRIC SLAB FOR THE CHARACTERIZATION OF RADAR SYSTEM PERFORMANCE SPECIFICATIONS Elctromagntics Rsarch Group THEORETICL MODEL OF LOSSY DIELECTRIC SLB FOR THE CHRCTERIZTION OF RDR SYSTEM PERFORMNCE SPECIFICTIONS G.L. Charvat, Prof. Edward J. Rothwll Michigan Stat Univrsit 1 Ovrviw of

More information

Guo, James C.Y. (1998). "Overland Flow on a Pervious Surface," IWRA International J. of Water, Vol 23, No 2, June.

Guo, James C.Y. (1998). Overland Flow on a Pervious Surface, IWRA International J. of Water, Vol 23, No 2, June. Guo, Jams C.Y. (006). Knmatc Wav Unt Hyrograph for Storm Watr Prctons, Vol 3, No. 4, ASCE J. of Irrgaton an Dranag Engnrng, July/August. Guo, Jams C.Y. (998). "Ovrlan Flow on a Prvous Surfac," IWRA Intrnatonal

More information

Lecture 2: The Simple Regression Model

Lecture 2: The Simple Regression Model Lectre Notes o Advaced coometrcs Lectre : The Smple Regresso Model Takash Yamao Fall Semester 5 I ths lectre we revew the smple bvarate lear regresso model. We focs o statstcal assmptos to obta based estmators.

More information

Tolerance Interval for Exponentiated Exponential Distribution Based on Grouped Data

Tolerance Interval for Exponentiated Exponential Distribution Based on Grouped Data Itratoal Rfrd Joural of Egrg ad Scc (IRJES) ISSN (Ol) 319-183X, (Prt) 319-181 Volum, Issu 10 (Octobr 013), PP. 6-30 Tolrac Itrval for Expotatd Expotal Dstrbuto Basd o Groupd Data C. S. Kaad 1, D. T. Shr

More information

ECE606: Solid State Devices Lecture 7

ECE606: Solid State Devices Lecture 7 C606: Sold Stat vcs Lctur 7 Grhard Klmck gkco@purdu.du Rfrc: Vol. 6, Ch. 3 & 4 Prstato Outl Itrsc carrr coctrato Pottal, fld, ad charg -k dagram vs. bad-dagram Basc cocpts of doors ad accptors Law of mass-acto

More information