Optimum Maintenance of a System under two Types of Failure

Size: px
Start display at page:

Download "Optimum Maintenance of a System under two Types of Failure"

Transcription

1 ntnatonal Jounal o Matals & tutual lablty Vol.4, o., Mah 6, 7-37 ntnatonal Jounal o Matals & tutual lablty Otmum Mantnan o a ystm un two ys o alu.. Baía * an M.D. Ba Datmnt o tatsts, C... Unvsty o Zaagoza, Maía Luna 3, 55 Zaagoza, an Abstat A mantnan mol o a systm subt to bo unval atastoh alus o val mno alus s snt. h om a tt by mans o an nston oly at o tms,,,. Moov t s assum a lss an t tstng, at s, als alams as wll as untt alus at an nston. val alus a mov by a mnmal a whas a t a ollows unval alus. A nwal o systm at val alu omlts mantnan atons. h tms o nstons an as a also tan nto aount. h t ost-mnmzng oly along an nnt tm san s also analyz. Kywo: Mantnan, Mnmal a, Otmum oly, lablty, Unval alu. ntouton h sgn o mantnan ols tuns out to b a ual ssu n lablty oy. alus u ablty to ulll s untons an a otn sonsbl o hug onom losss. h osts v om tv outon o owntm nu whn a systm als, la os non-nglgbl mony gus untly nvst n mantnan ous n o to vnt systms to al. h lassal ag lamnt an blo lamnt ols [] a sally sgn o val alus, whh a tt as soon as y ou. Howv many ngnng systms a subt to so-all unval alus whn nstons o sal tsts a n to sov m. alus o s sot ou n systms at altnat bo oatng an l os suh as sas o unts n stan-by mo. uty vs n gas onutons, nula ow lants, o alams a tyal amls o systms whh may ungo unval alus [4,,, ]. hus, o nston mgs u to unaoabl ost o a ontnuous montong. h mol n [] onss ost otmzaton by slton o a unqu ntval o bo nston an mantnan. h mol n [] ovs an mt nston oly whh hav non-zo obablty o als ostvs along w vntv atons o a systm subt to omtng alu tys. * Cosonng auo. -mal : gbaa@unza.s 7

2 A mantnan oly at suts a systm sntng two tys o alu s snt n s a. h val mno alus ty a mov by a mnmal a at bngs systm ba to oatng onton ust vous to alu as-ba-as-ol. A t a at stos systm to an as-goo-as-nw onton s a out to gt systm o unval atastoh alus ty U. Comuts sv as an aml o a systm at may ungo alus o bo tys. hus, a amag l o a vus a only tt by mans o ant-vus ogams at oally san omut. h om an b sonsbl o atastoh vnts suh as lost o whol nomaton ontan n ha s manwhl man untt. Howv alus at han n ow suly o omut sn a tt no soon y ou an, n gnal ts onsquns a lss motant. h wos [6, 8] ons an mt a whh s ahv w obablty o a t on w obablty -. h mol n [4] analyzs avalablty unton o a oally nst systm at ungos a numb o mt as bo bng tly a. h n [3] ooss a mantnan mol o a systm at anomly altnats oatng an l os but only t as a ons. Dnt obablst stutus as nng on ty o mantnan atons. h systm ltm ommonly aas to b shot at an mt a an n as at a t stoaton s a out. vlss, u to ta-ost o latt, sval mt as a allow vously to t a o vntual lamnt o unt. uh mt as ty to olong systm ltm as muh as ossbl. n s a w vlo an nston oly along w a mantnan ou o a systm whos alus a o ty o ty U n a anom way. W am at obtanng an otmal nston ntval at mnmzs t ost at o an nnt tm san. hs wo s oganz as ollows: mantnan oly s sb n ston whas ost unton an man sult onnng stn o an otmum oly a snt n ston 3. h last ston s vot to stuy o som amls at llustat otal sults.. h Mantnan Mol Cons a systm subt to two alu tys: a ty alu hans w obablty o a ty U w obablty q-. o tsts o nstons a a out at tms,,,... to tt ossbl oun o an unval alu. Whnv on o s nstons vals a alu, a t a stos systm to an as-goo-as-nw onton. Moov, mno alus a tt mmatly an a mnmal a at bngs systm ba to oatng onton ust vous to alu s ungon. n aton a t a s a out at val mno alu n o to vnt systm om toaton. W also ta nto aount ossblty o mt nstons so-all ty an ty statstal os. Bo nston an a tms a ons not nglgbl. gus an outln mantnan ou. otaton: - tm san btwn onsutv nstons - alu at osonng to tm to st alu - H umulatv alu at, H u u - α als alam obablty o a ty U alu at an nston - β obablty o an untt ty U alu at an nston - tm san to st ty U alu - tm san to - ntg at unton ty alu 8

3 - lng o a yl - K numb o nstons vous to a ty U alu, - K numb o nstons vous to K ty alu, K - K 3 numb o nstons om a ty U alu untl ts tton. als Alam t a st 3 4 n t g. hm o a yl nng at t a ollowng ty alu als Alam hs nston tts ty U st n J Downtm t g. hm o a yl nng at t a ollowng a ty U alu - numb o nstons n a yl vous to a ty U alu o - numb o als alams n a yl - numb o nstons n a yl - L numb o mnmal as n a yl - O systm utm - t nston tm - t U tm o t a at ollows a ty U alu - t tm o t a ollowng ty alu ty alu h nt ooston ontans som bas sults lat to ag nnt mnmal a [5] at wll b us all ov s atl. ooston. Un mol assumtons, ollowng sults hol: 9

4 3 a h nsty an lablty untons osonng to tm to st ty U alu, a qh q qh b h nsty an lablty untons o tm to ty alu, a! H H! H H an a nnnt anom vaabls. A yl not by s tm san btwn two onsutv nwals o systm an onsttuts y o unlyng obablst mol. n s mol a yl s omlt at t a at s a at ty U alu o ty alu. h nt om ovs vous sults at la to obtan an ts t ost, [ ]. n what ollows a ollton o aulay anom vaabls,,, wll b us. h osonng nsty an lablty untons a! H H! H H n aton, w shall ma us o mtu not by Z wh Z snts a anom vaabl w ollowng obablty unton: q Z,,,,- h untons blow snt a ual ntst n oomng sults:

5 3 hom. Un mol assumtons, sults blow a sats: a Lt an not stvly ollowng vnts: a yl s omlt at t a at ollows a ty U alu o w t a at ollows ty alu. ts osonng obablts a:, b h man numb o nstons n a yl s β h man numb o als alams n a yl s α h t utm n a yl s O h man lng o a yl w no nstons an as s gvn by β h man lng o nstons an as U t t t t β oo: a om ooston, t s v <! H H qh

6 an a omlmntay vnts an, hn, sult hols. b h numb o nstons n a yl s ss as K K K 3 wh A nots nato unton osonng to vnt A. By mans o ooston w obtan ollowng tatons K H! <, < H q qh n aton K <, < qh H! H K 3 s a gomt anom vaabl w aamt β, nnnt om an. hs at along w at a o hom la to 3 K 3 β K 3 an sult n at b o hom ollows by tang tatons n. h numb o als alams n a yl,, whn numb o nstons vous to a ty U alu o ty alu,, s nown s a bnomal anom vaabl w aamts n an α. ho, α h ollowng taton s obtan by usng sam alulatons o oo n at b o hom : K K an sult hols. 3

7 h utm o s ss as O 4 h nt tatons a v by mans o ooston : as wll as H H qh q! qh H H! h sult s obtan by tang tatons n 4. h lng o a yl wout nstons an as s ss as ollows 5 K K 3 an sult hols by tang tatons along w, 3, an 5. h lng o bo nstons an as n a yl s tu t t h sult s u by tang tatons n ogong sson along w ats a an b o hom. h lng o a yl,, s obtan by aton o an, o 3. Cost unton an Man sults n s ston w ous on obtanng ost o a yl as wll as h ost unton. Moov w am at stuyng ontons guaantng stn o an otmum oly,. h ollowng osts a assum: - untay ost o nston - untay ost o als alam - ost o t a o a ty U alu - ost o t a at - m ost o mnmal a at - ost at u to owntm ty alu ty alu 33

8 34 hom. Un mol assumtons, ollowng sults hol: a h man ost nu u to mnmal as n a yl s m CM b h man ost o a yl s gvn by C Ψ α wh m Ψ β h ost unton s ss as ollows α Q, Ψ 6 oo: a h numb o mnmal as n a yl, L, s a anom vaabl w ollowng obablty unton, q L,,..., L h ost nu n a yl u to mnmal as s gvn by L m CM Hn, t ollows m m m m m m m m q q L CM b h ost o a yl s ss as

9 C CM O h sult s v om taton o vous omula along w sults n a, b,, n hom an a n hom. om now on ost at o an nnt tm san wll b ons obtv unton. h unamntal nwal om [9] stats at as tm gos by suh a unton onvgs almost suly to ato btwn t ost o a yl an ts man lng, at s Q, C an sult n 6 hols. h ollowng om s onn w stn o an otmum oly at mnmzs ost unton. hom 3. ov at < an a natual numb a gvn, sts an otmum nston ntval,, < < mnmzng ost unton n 6 an only Ψ <. Moov s on o oots o quaton blow: A A α A Ψ t 7 wh A t β β t t oo: Bo untons an an lm lm U satsy ollowng ots as shown n []. a non nasng w an non ngatv. lm lm lm lm lm lm Lt us assum at Ψ <. h ogong ots nsu at sts < < suh at Ψ 35

10 n aton o > Ψ < ho, om 6 s v at Q, < o all <. Moov, om lmtng ots onnng an an n hom, an quaton 6 t s u at along w ats lm Q, an lm Q, an stn o a nt mnmum,, s onlu. Cons now at Ψ. om 6 nqualty blow s obtan: Q, lm Q, t ollows at otmum nston ntval mnmzng ost unton s. hus, otmum oly onssts o ayng out no nston. h onton n 7 s obtan by ntaton n 6 an sttng vatv qual to zo. h nssay an sunt onton o stn o a nt otmum oly, Ψ <, s quvalnt to ollowng nqualty O > β m o ma mantnan wll wo ong, systm utm shoul b gat an ombnaton o osts on ght han s o nqualty. s s as, osts nu u to mantnan oly a omnsat by ts tuns. W st to otmum numb o ty alus vous to t a,, w ons sam ou as n [7]. vs at Q, mn Q, 4. amls m to alu s assum to b an onntal anom vaabl w man. h λ obablts o als alam an untt alu at nston satsy, stvly, α. 5 an.5. β aml : λ.5,.5,.5,.3,.5,,,... t t., t. 5 U m 36

11 abl. Otmum oly an ost Q, aml : λ.,.5,,.5, 3,,,,... t t, t. 5 U abl. Otmum oly an ost Q, abls an show bo otmum nston ntval,, an otmum numb o ty alus,, vous to t a as wll as osonng otmum ost, Q,. h man atu n abl s at gat valu o owntm,, hgh nston quny an otmum ost. abl vals at gat obablty o a ty U alu,, lss qunt nston an low otmum ost. m Anowlgmnts hs wo has bn suot by Unvsty o Zaagoza-baa un ot B4-C-. ns. Balow.., oshan. Mamatal hoy o lablty. AM, Baía.., Ba M.D., Camos C.A. Otmzaton o nston ntvals bas on ost. Jounal o Al obablty 38, Baía.., Ba M.D., Camos C.A. Otmal nston an vntv mantnan o unts w val an unval alus. lablty ngnng an ystm aty 78, Bswas A., aa J., aa. Avalablty o a oally nst systm mantan un an mt-a oly. ansatons on lablty 3, 5, Blo H.W., Bogs W.., avts,.h. Ag nnt mnmal a. Jounal o Al obablty, Bown M., oshan. mt a. Jounal o Al obablty, aagawa. o an squntal vntv mantnan ols. Jounal o Al obablty 3, aagawa., asu K. Otmal ols o a systm w mt mantnan. ansatons on lablty -36, oss. ntouton to obablty Mols, 7 ton. Aam ss,.. Vauo J.K. On tm-nnt avalablty an mantnan otmzaton o stanby unts un vaous mantnan ols. lablty ngnng an ystm aty 56, Vauo J.K. Avalablty an ost untons o oally nst vntvly mantan unts. lablty ngnng an ystm aty 63, Zqua.., Bngu C. Otmal shulng o non-t nstons. MA Jounal o Managmnt Mamats, 5, oomng. 37

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

Structure and Features

Structure and Features Thust l Roll ans Thust Roll ans Stutu an atus Thust ans onsst of a psly ma a an olls. Thy hav hh ty an hh loa apats an an b us n small spas. Thust l Roll ans nopoat nl olls, whl Thust Roll ans nopoat ylnal

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below. oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt

More information

Analysis of Data Dependency Based Intrusion Detection System *

Analysis of Data Dependency Based Intrusion Detection System * nalyss of Data Dnny Bas Intuson Dtton Systm * Ymk ugmanov 1, Bajna ana 1, an Y Hu 2 1 Comut Sn an Comut Engnng Datmnt Unvsty of kansas ayttvll, R 72701 {ynugmano,bana}@uak.u 2 Comut Sn Datmnt othn Kntuky

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

Weighted Graphs. Weighted graphs may be either directed or undirected.

Weighted Graphs. Weighted graphs may be either directed or undirected. 1 In mny ppltons, o rp s n ssot numrl vlu, ll wt. Usully, t wts r nonntv ntrs. Wt rps my tr rt or unrt. T wt o n s otn rrr to s t "ost" o t. In ppltons, t wt my msur o t lnt o rout, t pty o ln, t nry rqur

More information

Analysis of a M/G/1/K Queue with Vacations Systems with Exhaustive Service, Multiple or Single Vacations

Analysis of a M/G/1/K Queue with Vacations Systems with Exhaustive Service, Multiple or Single Vacations Analyss of a M/G// uu wth aatons Systms wth Ehaustv Sv, Multpl o Sngl aatons W onsd h th fnt apaty M/G// uu wth th vaaton that th sv gos fo vaatons whn t s dl. Ths sv modl s fd to as on povdng haustv sv,

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Determination of slot leakage inductance for three-phase induction motor winding using an analytical method

Determination of slot leakage inductance for three-phase induction motor winding using an analytical method ACHIVES OF EECTICA EGIEEIG VO 6 pp 569-59 DOI 78/--6 Dtnton of ot ntn fo t-p nton oto wnn n n nt to JA STASZAK Dptnt of Et Mn n Mton St K Unvt of Tnoo Tą PP 7 K Pon -: j@tp v: v: 5 Att: T t nto o pon fo

More information

Handout 30. Optical Processes in Solids and the Dielectric Constant

Handout 30. Optical Processes in Solids and the Dielectric Constant Haut Otal Sl a th Dlt Ctat I th ltu yu wll la: La ut Ka-Kg lat Dlt tat l Itba a Itaba tbut t th lt tat l C 47 Sg 9 Faha Raa Cll Uty Chag Dl, Dl Mt, a lazat Dty A hag l t a gat a a t hag aat by ta: Q Q

More information

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner m m i s t r * j i ega>x I Bi 5 n ì r s w «s m I L nk r n A F o n n l 5 o 5 i n l D eh 1 ; 5 i A cl m i n i sh» si N «q a : 1? { D v i H R o s c q \ l o o m ( t 9 8 6) im a n alaa p ( M n h k Em l A ma

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation.

( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation. Cuvlna Coodnats Outln:. Otogonal cuvlna coodnat systms. Dffntal opatos n otogonal cuvlna coodnat systms. Dvatvs of t unt vctos n otogonal cuvlna coodnat systms 4. Incompssbl N-S quatons n otogonal cuvlna

More information

I L Livermore. San Jose CALTRANS STANDARD PLANS (DATED 2010) A20 A,B,D A24 D RSP A88A ES-7A ES-5A,B ES-5C REVIEWED BY:

I L Livermore. San Jose CALTRANS STANDARD PLANS (DATED 2010) A20 A,B,D A24 D RSP A88A ES-7A ES-5A,B ES-5C REVIEWED BY: T FTT GN NOTS: QUNT O T OJT OJT NUMB 0-970 BBVTONS:.... 5. 6. UTT NMTON N OBUTONS SON ON T OJT NS N OV N T SFTON ON NMTON. T S T ONTTO'S SONSBT TO VF T OTON N VTON XNG UTTS TN T OK O TO BGNNNG ONUTON.

More information

Three Phase Asymmetrical Load Flow for Four-Wire Distribution Networks

Three Phase Asymmetrical Load Flow for Four-Wire Distribution Networks T Aytl Lo Flow o Fou-W Dtuto Ntwo M. Mo *, A. M. Dy. M. A Dtt o Eltl E, A Uvty o Toloy Hz Av., T 59, I * El: o8@yoo.o Att-- Mjoty o tuto two ul u to ul lo, yty to l two l ut. T tt o tuto yt ult y o ovt

More information

Posterior analysis of the compound truncated Weibull under different loss functions for censored data.

Posterior analysis of the compound truncated Weibull under different loss functions for censored data. INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg

More information

Payroll Direct Deposit

Payroll Direct Deposit Payroll Dirct Dposit Dirct Dposit for mploy paychcks allows cntrs to avoi printing an physically istributing papr chcks to mploys. Dirct posits ar ma through a systm known as Automat Claring Hous (ACH),

More information

SHELL CANADA PIPING AND INSTRUMENT DIAGRAM UNIT REGENERATION/COMMON LEAN / RICH AMINE EXCHANGER QUEST CCS PROJECT QUEST CCS PROJECT CONSTRUCTION

SHELL CANADA PIPING AND INSTRUMENT DIAGRAM UNIT REGENERATION/COMMON LEAN / RICH AMINE EXCHANGER QUEST CCS PROJECT QUEST CCS PROJECT CONSTRUCTION ). M 5 34 34..... / / / /......... / / / / / / / / / /. /.... 66...... / /... SSU T SPTON SHLL N NOTS: G Y K P S QUST S POJT M P PM LNT SL: NON NG N NSTUMNT GM QUST S POJT SHLL WG NO.:. 46...4.. 46. L:\\:\5\WNGS\O\46\46..pid

More information

Winnie flies again. Winnie s Song. hat. A big tall hat Ten long toes A black magic wand A long red nose. nose. She s Winnie Winnie the Witch.

Winnie flies again. Winnie s Song. hat. A big tall hat Ten long toes A black magic wand A long red nose. nose. She s Winnie Winnie the Witch. Wnn f gn ht Wnn Song A g t ht Tn ong to A k g wnd A ong d no. no Sh Wnn Wnn th Wth. y t d to A ong k t Bg gn y H go wth Wnn Whn h f. wnd ootk H Wu Wu th t. Ptu Dtony oo hopt oon okt hng gd ho y ktod nh

More information

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields ISB 978-9-84468-8-5 Innaonal Confn on Issus n Busnss onoms Mang an Mamas (IBMM-6) Sngapo 5-6 6 Busnss Cls Capal nvonmn an Rnabl Rsous W-Bn Zang Rsuman Asa Paf Unvs Bppu-s Japan Absa: Ts pap nfs busnss

More information

Signal Circuit and Transistor Small-Signal Model

Signal Circuit and Transistor Small-Signal Model Snal cut an anto Sall-Snal Mol Lctu not: Sc. 5 Sa & Sth 6 th E: Sc. 5.5 & 6.7 Sa & Sth 5 th E: Sc. 4.6 & 5.6 F. Najaba EE65 Wnt 0 anto pl lopnt Ba & Snal Ba Snal only Ba Snal - Ba? MOS... : : S... MOS...

More information

Theorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices.

Theorem 1. An undirected graph is a tree if and only if there is a unique simple path between any two of its vertices. Cptr 11: Trs 11.1 - Introuton to Trs Dnton 1 (Tr). A tr s onnt unrt rp wt no sp ruts. Tor 1. An unrt rp s tr n ony tr s unqu sp pt twn ny two o ts vrts. Dnton 2. A root tr s tr n w on vrtx s n snt s t

More information

Matched Quick Switching Variable Sampling System with Quick Switching Attribute Sampling System

Matched Quick Switching Variable Sampling System with Quick Switching Attribute Sampling System Natur and Sn 9;7( g v, t al, Samlng Systm Mathd Quk Swthng Varabl Samlng Systm wth Quk Swthng Attrbut Samlng Systm Srramahandran G.V, Palanvl.M Dartmnt of Mathmats, Dr.Mahalngam Collg of Engnrng and Thnology,

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

A Review of Dynamic Models Used in Simulation of Gear Transmissions

A Review of Dynamic Models Used in Simulation of Gear Transmissions ANALELE UNIVERSITĂłII ETIMIE MURGU REŞIłA ANUL XXI NR. ISSN 5-797 Zol-Ios Ko Io-ol Mulu A Rvw o ls Us Sulo o G Tsssos Th vsgo o lv s lu gg g olg l us o sov sg u o pps g svl s oug o h ps. Th pupos o h ols

More information

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo

More information

Noise in electronic components.

Noise in electronic components. No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka

More information

SAMPLE CSc 340 EXAM QUESTIONS WITH SOLUTIONS: part 2

SAMPLE CSc 340 EXAM QUESTIONS WITH SOLUTIONS: part 2 AMPLE C EXAM UETION WITH OLUTION: prt. It n sown tt l / wr.7888l. I Φ nots orul or pprotng t vlu o tn t n sown tt t trunton rror o ts pproton s o t or or so onstnts ; tt s Not tt / L Φ L.. Φ.. /. /.. Φ..787.

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS

More information

Lecture 20: Minimum Spanning Trees (CLRS 23)

Lecture 20: Minimum Spanning Trees (CLRS 23) Ltur 0: Mnmum Spnnn Trs (CLRS 3) Jun, 00 Grps Lst tm w n (wt) rps (unrt/rt) n ntrou s rp voulry (vrtx,, r, pt, onnt omponnts,... ) W lso suss jny lst n jny mtrx rprsntton W wll us jny lst rprsntton unlss

More information

SYMMETRICAL COMPONENTS

SYMMETRICAL COMPONENTS SYMMETRCA COMPONENTS Syl oponn llow ph un of volg n un o pl y h p ln yl oponn Con h ph ln oponn wh Engy Convon o 4 o o wh o, 4 o, 6 o Engy Convon SYMMETRCA COMPONENTS Dfn h opo wh o Th o of pho : pov ph

More information

Easy Steps to build a part number... Tri-Start Series III CF P

Easy Steps to build a part number... Tri-Start Series III CF P ulti-l i Oti iul ( oto) ow to O ol os sy ts to uil t u... i-tt is 1. 2 3 4. 5. 6. oto y til iis ll tyl ll iz- st t ott y & y/ ywy ositio 50 9 0 17-08 ol ulti-l i oti otos o us wit ulti-o sil o tii o y

More information

Kretschmann Invariant and Relations between Spacetime Singularities, Entropy and Information

Kretschmann Invariant and Relations between Spacetime Singularities, Entropy and Information tshmann Invaant an latons btwn atm ngulats, Entoy an Infomaton Ioanns gtzs, Ioanns aanas, Omos agos Datmnts of athmats, East Caolna Unvsty Austn ulng, East Ffth tt, nvll C 5-5, UA, E-mal: ggtzs@u.u Datmnt

More information

SHELL CANADA PIPING AND INSTRUMENT DIAGRAM QUEST CCS PROJECT LEGENDS AND SYMBOLS QUEST CCS PROJECT UNIT COMMON "!!

SHELL CANADA PIPING AND INSTRUMENT DIAGRAM QUEST CCS PROJECT LEGENDS AND SYMBOLS QUEST CCS PROJECT UNIT COMMON !! .. 2 S 222... 2. SSU TON Y K PS S M P PM T S N QUST S POJT. S NON N N NSTUMNT M QUST S POJT S W NO.. 2... NT M T \\\2\WNS\UTTS\2\2..pid MO T22 PM Yahm 2. UNT 2 OMMON NS N SYMOS .. SSU T 2 2 2. TON Y K

More information

( ) ( ) Chapter 1 Exercise 1A. x 3. 1 a x. + d. 1 1 e. 2 a. x x 2. 2 a. + 3 x. 3 2x. x 1. 3 a. 4 a. Exercise 1C. x + x + 3. Exercise 1B.

( ) ( ) Chapter 1 Exercise 1A. x 3. 1 a x. + d. 1 1 e. 2 a. x x 2. 2 a. + 3 x. 3 2x. x 1. 3 a. 4 a. Exercise 1C. x + x + 3. Exercise 1B. answrs Chaptr Ers A a + + + + + + + + + + + + g a a a 6 h + + + + + + + + + + + + + + + + ( + ) + 6 + + + + + + 8 + 0 + Ers B a + + + + + + + + + g h j a a + + + + + + + + + + + + + + + + + + + + + + +

More information

An action with positive kinetic energy term for general relativity. T. Mei

An action with positive kinetic energy term for general relativity. T. Mei An ton wt post nt ny t fo n tty T (Dptnt of Jon Cnt Cn o Unsty Wn H PRO Pop s Rp of Cn E-: to@nn tow@pwn ) Astt: At fst w stt so sts n X: 7769 n tn sn post nt ny oont onton n y X: 7769 w psnt n ton wt

More information

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW)

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW) 8 Conson o n & Ponn To Fo wll s quons w D B σ σ Fo bo n b sown (W) o s W w bo on o s l us n su su ul ow ns [W/ ] [W] su P su B W W 4 444 s W A A s V A A : W W R o n o so n n: [/s W] W W 4 44 9 W : W F

More information

5- Scattering Stationary States

5- Scattering Stationary States Lctu 19 Pyscs Dpatmnt Yamou Unvsty 1163 Ibd Jodan Pys. 441: Nucla Pyscs 1 Pobablty Cunts D. Ndal Esadat ttp://ctaps.yu.du.jo/pyscs/couss/pys641/lc5-3 5- Scattng Statonay Stats Rfnc: Paagaps B and C Quantum

More information

The angle between L and the z-axis is found from

The angle between L and the z-axis is found from Poblm 6 This is not a ifficult poblm but it is a al pain to tansf it fom pap into Mathca I won't giv it to you on th quiz, but know how to o it fo th xam Poblm 6 S Figu 6 Th magnitu of L is L an th z-componnt

More information

Multiple-Choice Test Runge-Kutta 4 th Order Method Ordinary Differential Equations COMPLETE SOLUTION SET

Multiple-Choice Test Runge-Kutta 4 th Order Method Ordinary Differential Equations COMPLETE SOLUTION SET Multpl-Co Tst Rung-Kutta t Ordr Mtod Ordnar Drntal Equatons COMPLETE SOLUTION SET. To solv t ordnar drntal quaton sn ( Rung-Kutta t ordr mtod ou nd to rwrt t quaton as (A sn ( (B ( sn ( (C os ( (D sn (

More information

Period vs. Length of a Pendulum

Period vs. Length of a Pendulum Gaphcal Mtho n Phc Gaph Intptaton an Lnazaton Pat 1: Gaphng Tchnqu In Phc w u a vat of tool nclung wo, quaton, an gaph to mak mol of th moton of objct an th ntacton btwn objct n a tm. Gaph a on of th bt

More information

Series III, TV Breakaway Fail-Safe Connectors Quick-Disconnect with an Axial Pull of Lanyard

Series III, TV Breakaway Fail-Safe Connectors Quick-Disconnect with an Axial Pull of Lanyard is, wy il- otos Qui-isot wit xil ull o y ulo ss quo mol i-tt wy il- otos ovi uqul om i viomts quii istt ismt. wy il- oto mily os wi o ltil mil tus: stt ouli m stio omltly itmtl wit st tls (/20 /2) vtoy

More information

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4"C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48" AFF.

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48 AFF. 0 NOOY SYMO S N NOOY NOS: NO: his is a standard symbol list and not all items listed may be used. bbreviations () XSN OV NS OO NMW - UNOUN ONU OY ONO UNS ONO NS O ONO UNS OWN NS OX OX U OP SUON UN OO,

More information

A simple 2-D interpolation model for analysis of nonlinear data

A simple 2-D interpolation model for analysis of nonlinear data Vol No - p://oog//n Nl Sn A mpl -D npolon mol o nl o nonln M Zmn Dpmn o Cvl Engnng Fl o nolog n Engnng Yo Unv Yo In; m@ml Rv M ; v Apl ; p M ABSRAC o mnon volm n wg o nonnom o n o po vlon o mnng n o ng

More information

9.5 Complex variables

9.5 Complex variables 9.5 Cmpl varabls. Cnsdr th funtn u v f( ) whr ( ) ( ), f( ), fr ths funtn tw statmnts ar as fllws: Statmnt : f( ) satsf Cauh mann quatn at th rgn. Statmnt : f ( ) ds nt st Th rrt statmnt ar (A) nl (B)

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

Advanced Manufacture of Spiral Bevel and Hypoid Gears

Advanced Manufacture of Spiral Bevel and Hypoid Gears Advans n Thnology Innovaton, vol. no. 3, 217,. 61-67 Advand Manufatu of Sal Bvl and Hyod Gas Vlmos Smon Datmnt of Mahn and Podut Dsgn, Budast Unvsty of Thnology and Eonoms, Hungay. Rvd 2 Januay 216; vd

More information

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data

Bayesian Estimation of the parameters of the Weibull-Weibull Length-Biased mixture distributions using time censored data Bys Eso of h s of h Wull-Wull gh-bs xu suos usg so S. A. Sh N Bouss I.S.S. Co Uvsy I.N.P.S. Algs Uvsy shsh@yhoo.o ou005@yhoo.o As I hs h s of h Wull-Wull lgh s xu suos s usg h Gs slg hqu u y I sog sh.

More information

How to Use. The Bears Beat the Sharks!

How to Use. The Bears Beat the Sharks! Hw t U Th uc vd 24 -wd dng ctn bd n wht kd ncunt vy dy, uch mv tng, y, n Intnt ch cn. Ech ctn ccmnd by tw w-u ctc g ng tudnt cmhnn th ctn. Th dng ctn cn b ud wth ndvdu, m gu, th wh c. Th B cnd bmn, Dn

More information

European and American options with a single payment of dividends. (About formula Roll, Geske & Whaley) Mark Ioffe. Abstract

European and American options with a single payment of dividends. (About formula Roll, Geske & Whaley) Mark Ioffe. Abstract 866 Uni Naions Plaza i 566 Nw Yo NY 7 Phon: + 3 355 Fa: + 4 668 info@gach.com www.gach.com Eoan an Amican oions wih a singl amn of ivins Abo fomla Roll Gs & Whal Ma Ioff Absac Th aicl ovis a ivaion of

More information

Homework: Due

Homework: Due hw-.nb: //::9:5: omwok: Du -- Ths st (#7) s du on Wdnsday, //. Th soluton fom Poblm fom th xam s found n th mdtm solutons. ü Sakua Chap : 7,,,, 5. Mbach.. BJ 6. ü Mbach. Th bass stats of angula momntum

More information

Who is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities

Who is this Great Team? Nickname. Strangest Gift/Friend. Hometown. Best Teacher. Hobby. Travel Destination. 8 G People, Places & Possibilities Who i thi Gt Tm? Exi Sh th foowing i of infomtion bot of with o tb o tm mt. Yo o not hv to wit n of it own. Yo wi b givn on 5 mint to omih thi tk. Stngt Gift/Fin Niknm Homtown Bt Th Hobb Tv Dtintion Robt

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

Lecture-7. Homework (Due 2/13/03)

Lecture-7. Homework (Due 2/13/03) Leture-7 Ste Length Seleton Homewor Due /3/3 3. 3. 3.5 3.6 3.7 3.9 3. Show equaton 3.44 he last ste n the roo o heorem 3.6. see sldes Show that >.5, the lne searh would exlude the mnmzer o a quadrat, and

More information

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d)

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d) Ερωτήσεις και ασκησεις Κεφ 0 (για μόρια ΠΑΡΑΔΟΣΗ 9//06 Th coffcnt A of th van r Waals ntracton s: (a A r r / ( r r ( (c a a a a A r r / ( r r ( a a a a A r r / ( r r a a a a A r r / ( r r 4 a a a a 0 Th

More information

Neutrosophic Hyperideals of Semihyperrings

Neutrosophic Hyperideals of Semihyperrings Nuooph m Vol. 06 05 Uv o Nw Mo Nuooph Hpl o mhpg D Ml Dpm o Mhm j P Moh Collg Up Hooghl-758 mljumh@gml.om A. h pp w hv ou uooph hpl o mhpg o om opo o hm o u oo pop. Kwo: C Pou Compoo l o Nuooph mhpmg.

More information

n gativ b ias to phap s 5 Q mou ntd ac oss a 50 Q co-a xial l, i t whn bias no t back-bia s d, so t hat p ow fl ow wi ll not b p ositiv. Th u s, if si

n gativ b ias to phap s 5 Q mou ntd ac oss a 50 Q co-a xial l, i t whn bias no t back-bia s d, so t hat p ow fl ow wi ll not b p ositiv. Th u s, if si DIOD E AND ITS APPLI AT C I O N: T h diod is a p-t p, y intin s ic, n-typ diod consis ting of a naow lay of p- typ smiconducto and a naow lay of n-typ smiconducto, wi th a thick gion of intins ic o b twn

More information

Computational Vision. Camera Calibration

Computational Vision. Camera Calibration Comutatonal Vson Camea Calbaton uo hate 6 Camea Calbaton Poblem: Estmate amea s etns & ntns aametes MthdU Method: Use mage(s) () o knon sene ools: Geomet amea models SVD and onstaned least-squaes Lne etaton

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34

More information

9.4 Absorption and Dispersion

9.4 Absorption and Dispersion 9.4 Absoon and Dsson 9.4. loagn Wavs n Conduos un dnsy n a onduo ollowng Oh s law: J Th Maxwll s uaons n a onduo lna da should b: ρ B B B J To sly h suaon w agu ha h hag dsaas uly n a aoso od. Fo h onnuy

More information

MINI POST SERIES BALUSTRADE SYSTEM INSTALLATION GUIDE PRODUCT CODE: MPS-RP

MINI POST SERIES BALUSTRADE SYSTEM INSTALLATION GUIDE PRODUCT CODE: MPS-RP MN POST SRS LUSTR SYSTM NSTLLTON U PROUT O: MPS-RP 0 R0 WLL LN 0 RONT LVTON VW R0 N P 0 T RUR LOK LOT ON LSS. SLON SL TYP. OT SS 000 LSS T 0 00 SRS LSS WT 00/00 (0mm NRMNTS VLL) MX. 000 00-0 (ROMMN) 00

More information

EQUATION SHEETS FOR ELEC

EQUATION SHEETS FOR ELEC QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s

More information

On the Determination of Capital Charges in a Discounted Cash Flow Model. Eric R. Ulm Georgia State University

On the Determination of Capital Charges in a Discounted Cash Flow Model. Eric R. Ulm Georgia State University On h Dmnaon o Capal Chags n a Dscound Cash Flow Modl c R. Ulm Goga Sa Unvs Movaon Solvnc II Rqud sss dmnd on a consoldad bass sss allocad o h lns o busnss on a magnal bass Dvson no Rsvs and Capal s ln

More information

Laboratory Air Handling Unit System

Laboratory Air Handling Unit System Labtoy A Handlng Unt Systm Yuj u Gaduat Studnt ollg of Engnng and nology Unvsty of Nbaska Lnoln ngsng Lu Assoat Pofsso ollg of Engnng and nology Unvsty of Nbaska -Lnoln ABSRA An nnovatv AHU systm s sntd

More information

L...,,...lllM" l)-""" Si_...,...

L...,,...lllM l)- Si_...,... > 1 122005 14:8 S BF 0tt n FC DRE RE FOR C YER 2004 80?8 P01/ Rc t > uc s cttm tsus H D11) Rqc(tdk ;) wm1111t 4 (d m D m jud: US

More information

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP

Bayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h

More information

LWC 434 East First Street 4440 Garwood Place

LWC 434 East First Street 4440 Garwood Place //0 :: UI IXTUS TO US IIT TOS O T IST UTU I TOY IST OW - ITIO UTUS IST I TSIS. I ST (O, ZU). cui (, ZU). TOTO (OI, O). SO (ZU, Y). TUO (SO, ZU). TOTO (O US). IS (OSOIT, U). UST (ST WIIS, ZU). Y (T&S SS,

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

Spanning Trees. BFS, DFS spanning tree Minimum spanning tree. March 28, 2018 Cinda Heeren / Geoffrey Tien 1

Spanning Trees. BFS, DFS spanning tree Minimum spanning tree. March 28, 2018 Cinda Heeren / Geoffrey Tien 1 Spnnn Trs BFS, DFS spnnn tr Mnmum spnnn tr Mr 28, 2018 Cn Hrn / Gory Tn 1 Dpt-rst sr Vsts vrts lon snl pt s r s t n o, n tn ktrks to t rst junton n rsums own notr pt Mr 28, 2018 Cn Hrn / Gory Tn 2 Dpt-rst

More information

Today. CS 232: Ar)ficial Intelligence. Search. Agents that Plan. September 3 rd, 2015 Search Problems. Uninformed Search Methods

Today. CS 232: Ar)ficial Intelligence. Search. Agents that Plan. September 3 rd, 2015 Search Problems. Uninformed Search Methods 1 C 232: A)iil Intllign Toy tm 3, 2015 Agnts tt Pln A Polms Uninom Mtos Dt- Fist Bt- Fist Uniom- Cost [Ts slis w t y Dn Klin n Pit Al o C188 Into to AI t UC Bkly. All C188 mtils vill t M://i.kly.u.] Agnts

More information

NORTHING 2" INS. COPPER COMM. CABLE 6" D.I. WATER LINE 52 12" D.I. WATER LINE 645, ,162, CURVE DATA US 40 ALT.

NORTHING 2 INS. COPPER COMM. CABLE 6 D.I. WATER LINE 52 12 D.I. WATER LINE 645, ,162, CURVE DATA US 40 ALT. OU ' ' ' ' QUY O HO O. UY OHG G O UY O UF O GG HO M H M H O H. O...8. OM Y U -. + O. + OY K HOU O. MH + - H - ' YM F ' ' ' O HGO ' G ' 8.% H- ' U U. - M. c 8'. OY. K HOU O.... OMY & / OGOO Y 8 --> K GG

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

Housing Market Monitor

Housing Market Monitor M O O D Y È S A N A L Y T I C S H o u s i n g M a r k e t M o n i t o r I N C O R P O R A T I N G D A T A A S O F N O V E M B E R İ Ī Ĭ Ĭ E x e c u t i v e S u m m a r y E x e c u t i v e S u m m a r y

More information

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists

More information

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY

F102 1/4 AMP +240 VDC SEE FIGURE 5-14 FILAMENT AND OVEN CKTS BLU J811 BREAK-IN TB103 TO S103 TRANSMITTER ASSOCIATED CAL OFF FUNCTION NOTE 2 STANDBY OWR OR F0 M NOT S0 RT OF FUNTI FL0 T0 OWR SULY SUSSIS T0 T0 WIR FOR 0 V OWR SULY SUSSIS T0 WIR FOR V 0 0 RT V0 RT V0. V RT V0 RT V0 NOT. V. V NOT +0 V 0 +0 V. V 0 FUNTI NOT L +0 V S FIUR - FILMNT N OVN

More information

Extinction Ratio and Power Penalty

Extinction Ratio and Power Penalty Application Not: HFAN-.. Rv.; 4/8 Extinction Ratio and ow nalty AVALABLE Backgound Extinction atio is an impotant paamt includd in th spcifications of most fib-optic tanscivs. h pupos of this application

More information

Lecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University

Lecture 3.2: Cosets. Matthew Macauley. Department of Mathematical Sciences Clemson University Lctu 3.2: Costs Matthw Macauly Dpatmnt o Mathmatical Scincs Clmson Univsity http://www.math.clmson.du/~macaul/ Math 4120, Modn Algba M. Macauly (Clmson) Lctu 3.2: Costs Math 4120, Modn Algba 1 / 11 Ovviw

More information

ALPHABET. 0Letter Practice

ALPHABET. 0Letter Practice ALPHABET 0Ltt Pat Ltt Pat - Aa A A A A a a a Cl A s A a a A A Cl a s A a k Aa a Cut ut th ltt s a glu thm th ght st. Catal A Las a 2014 Lau Thms.msthmsstasus.m a a A a A A Ltt Pat - B B B B B Cl B s m

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

More information

ESCI 341 Atmospheric Thermodynamics Lesson 16 Pseudoadiabatic Processes Dr. DeCaria

ESCI 341 Atmospheric Thermodynamics Lesson 16 Pseudoadiabatic Processes Dr. DeCaria ESCI 34 Atmohi hmoynami on 6 Puoaiabati Po D DCaia fn: Man, A an FE obitaill, 97: A omaion of th uialnt otntial tmatu an th tati ngy, J Atmo Si, 7, 37-39 Btt, AK, 974: Futh ommnt on A omaion of th uialnt

More information

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University

Multi-linear Systems and Invariant Theory. in the Context of Computer Vision and Graphics. Class 4: Mutli-View 3D-from-2D. CS329 Stanford University Mult-lna Sytm and Invaant hoy n th Contxt of Comut Von and Gahc Cla 4: Mutl-Vw 3D-fom-D CS39 Stanfod Unvty Amnon Shahua Cla 4 Matal W Wll Cov oday Eola Gomty and Fundamntal Matx h lan+aallax modl and latv

More information

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28

Diffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28 Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

(Minimum) Spanning Trees

(Minimum) Spanning Trees (Mnmum) Spnnn Trs Spnnn trs Kruskl's lortm Novmr 23, 2017 Cn Hrn / Gory Tn 1 Spnnn trs Gvn G = V, E, spnnn tr o G s onnt surp o G wt xtly V 1 s mnml sust o s tt onnts ll t vrts o G G = Spnnn trs Novmr

More information

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy. LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees

5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees /1/018 W usully no strns y ssnn -lnt os to ll rtrs n t lpt (or mpl, 8-t on n ASCII). Howvr, rnt rtrs our wt rnt rquns, w n sv mmory n ru trnsmttl tm y usn vrl-lnt non. T s to ssn sortr os to rtrs tt our

More information

GUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student

GUIDE FOR SUPERVISORS 1. This event runs most efficiently with two to four extra volunteers to help proctor students and grade the student GUIDE FOR SUPERVISORS 1. This vn uns mos fficinly wih wo o fou xa voluns o hlp poco sudns and gad h sudn scoshs. 2. EVENT PARAMETERS: Th vn supviso will povid scoshs. You will nd o bing a im, pns and pncils

More information

Some New Classes of Orthogonal Polynomials and Special Functions: A Symmetric Generalization of Sturm-Liouville Problems and its Consequences

Some New Classes of Orthogonal Polynomials and Special Functions: A Symmetric Generalization of Sturm-Liouville Problems and its Consequences o Nw Cl of Ohogol olyol l uo: A y Glzo of u-louvll ol Cou y Moh MAJED-JAMEI Uvy of Kl D of Mh Kl Gy My 6 hd h uv y ofo Wolf KOE D of Mh Uvy of Kl Kl Gy Co Oul of o 5 A y glzo of u - Louvll ol 9 Iouo 9

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

. ɪ. , Outa 1.THEPROJECT 2.ASTORY THAT NEEDS TO BE 3.THESCENARIO 4.THECHARACTERS 5.THEPRODUCTION 6.THECREW 8.CONTACTDETAILS

. ɪ. , Outa 1.THEPROJECT 2.ASTORY THAT NEEDS TO BE 3.THESCENARIO 4.THECHARACTERS 5.THEPRODUCTION 6.THECREW 8.CONTACTDETAILS d w d ŋə ɪ d onoun P ] Ou d[ op p d pou Y np dou : n nm hm w onph ' o!i u no Ou qu Un ommon un u np dou o: Bu d w n d 1THEPROJECT TOLD 2ATORY THAT NEED TO BE 3THECENARIO 4THECHARACTER 5THEPRODUCTION 6THECREW

More information