Parameterization in large-scale atmospheric modelling

Size: px
Start display at page:

Download "Parameterization in large-scale atmospheric modelling"

Transcription

1 Paameeaon n lage-sale amose modellng Geneal aameeaon oblem: Ealaon of ems nolng aeaged qada and ge ode ods of nesoled deaons fom lage-sale aables Examles: a blen ansfe n e bonday laye b Effes of nesoled wae moons e.g. gay-wae dag Cmls aameeaon Oe knds of aameeaon oblems: adae ansfe, lod moysal oesses*, emal oesses

2 age-sale aables and eqaons e an oeba denoe e esl of an aeagng o fleng oeaon w sesses flaons w emoal and saal sales smalle an e-defned lms. e.g. fo some aoaely smoo and bonded aable afe aeagng: ,,, τ τ τ x x y y y x x x y y dy dx d d y x We efe o s as e lage-sale aable and assme a o model as sffen saal and emoal esolon o eesen e aaon of s aable one we ae deemned e eqaons goenng and an aoae solon meodology.

3 yally, f e aable, as e followng goenng eqaon: ; Q, And e mass onny eqaon s: 0; en alyng e aeagng oeaon ges, aoxmaely: 1 Q f <<1 In ases o be onsdeed e.g. mls aameeaon w and deemnng s em s e goal of e aameeaon n s ase

4 oon Amose Eqaons 1 2 fkˆ P gkˆ ν 0 1 e F S 1 gw e k 2 ; S ass onny emodynam O: [ ] 2 k ad ˆ ˆj kw ˆ Φ Φ gw ao Condensed wae q q w e e P Eqaon of Sae deal gas 1.61q qw P R

5 E / 2 Enegy Conseaon e.g., Gll, 1982,. 4 kne enegy q Φ mos sa enegy E μ 2 E k 2 Fad [ E ] [ E μ E k ] F ad ] ν μ, ν olela dynam and knema sosy x y Fo a ν m / s a 15C, 100Pa Kolmogoo sales fo w sosy and 3 dssaon ae ndeenden aamees: ν ; ν 1/ 4 K U K ese ae small fo e amosee ~ 1mm,.1 m/s. eefoe s emssble o negle sos ems fo aameeaon oses b no o gnoe effes/oesses a lead o dssaon and assoaed eang 1/ 4

6 Qas-anelas aoxmaons fo GC aameeaon Bakgond sae: -ydosaally balaned - slowly ayng on e smalle, nesoled oonal and emoal sales - e.g. a of qas- balaned laneay sale laon egme. - deaons fom ae small enog o allow lneaaon of e eqaon of sae deal gas law o deemne elaonss beween key emodynam aables: R g 1 1 > R g g R R g 1 1 > g g g g

7 ems nolng wll also be negleed omaed o ny. Ge eqaons fo e bakgond sae by aeagng: w fk H H H ˆ R Q Q g B w B w w Q H H { } fk k d d H H ˆ ˆ Φ q Q g w d d H H 1 Usng ese esls leads o e followng: neglgble fo e aameeed sales b no fo e esoled sales oe s ems

8 Paameeaon of e effes of os Coneon n GCs ass flx semes Bas ones and qanes Qas-seady Enanng/deanng lmes Aakawa&Sbe and smla aoaes Boyany song Raymond-Blye, Emanel Kan-Fs Close Condons, ggeng Adjsmen Semes anabe Bes-lle

9 adonal Assmons fo Cmls Paameeaon: 1. Qas-seady assmon: effes of aeagng oe a mls lfeyle an be eesened n ems of seady-sae onee elemens. [ansen lod lfe-yle fomlaons: Ko 1964, 1974; Faed1974, Bes1975, Co1977, on Salen&Falane 2002.] 2. Pesse ebaons and effes on momenm gnoed [Some of ese effes ae been enoded n moe een wok, b no neessaly n an enegeally onssen manne]

10 Sang eqaons negle ems n ly and oe small ems bakes and assme mlly a e bakgond sae s slowly ayng on e aameeed sales: w w H H 0 Paameeaon of os Coneon H g k ˆ [ ] Q g w H ls smla eqaons fo ao, ondensed wae, and oe sala qanes Fo e adonal fomlaon gnoe ossed-o ems

11 A σ, A A e 1 σ A A

12 Saal Aeages Fo a gene sala aable, : age-sale aeage: Conee-sale aeage fo a snglemls /downdaf : Enonmen aeage sngle onee elemen: Wee σ A A << 1 e 1 A A A 1 1 A da A A da Ae da, e / O1 * σ 1σ σ 1 σ ˆ eal eloy: e w σw 1σ w e Ensemble of mls lods: σ σ w >> w, w e σ 1σ e

13 Cmls effes on e lage-sales Sa w a geneal onseaon eqaon fo w Pls e assmon: H Q smla o sng anelas assmon fo onee-sale moons Aeage oe e lage-sale aea assmng fxed bondaes: w Q ass flx ose fo dafs: σw σw σ w * * oes Also: * * Q σ ; o a assmon: w 0 Q 1 σ Q e In ae e.g. n a GC e ognos aables ae also mlly me aeages oe onee lod lfe-yles

14 Aly mls sale sb-aeage o e geneal onseaon eqaon, aonng fo emoally and saally ayng bondaes ebn le: σ σ A σ ass onny ges: n dl b σ[ w w * * ] σ Q σ σ A σ n dl aw 0 n ; e owad deed nomal flow eloy elae o e lod bonday Enanmen nflow/deanmen oflow: σ E A efne: σ n [ 1 H n ] dl σ E n b[ 1 H n] dl EA σ 1; nh n dl H f A { 0; σ f f 0 < 0 σ nbh n dl A o a: E e ; ;

15 Smmay fo a gene sala, : seady and o a n lod dafs: negle ossed-o ems oe Q w Q w E E oe Q w w e σ σ σ σ σ σ 1 0 ] [ * * * * Wen bo dafs and downdafs ae esen, bo enanng enonmenal a: d d d d d d d E E E w σ ; ; ;

16 Bas mls daf eqaons o-a, adonal 0 0 E P l l q q E q s s E s E {y sa enegy: sc g; os sa enegy : sq; } mass onseaon dy Sa Enegy mos Sa Enegy ondensae ao w σ κ θ o ; l q al emeae R / κ ;

17 Enanmen/eanmen adonal oganed e.g.lme enanmen assmon: E [1 H ] dl < n n P E α A n > P αw P σw λ 2α σw R P dl daf emee Aakawa & Sbe 1974 and desendans, e.g. RAS, Z-: - λ s a onsan fo ea daf [saaed omogeneos o-a enanng lmes] - deanmen s onfned o a naow egon nea e o of e daf, w s loaed a e leel of eo boyany deemnes λ Kan & Fs 1990 and desendans, e.g. Beeon e al, 2004 : - R s sefed onsan o ayng w eg fo a gen mls - enanmen/deanmen onolled by boyany song.e. e effee ale of α s onsaned by boyany song Esod Enanmen and non-omogeneos mxng Raymond&Blye, Emanel, Emanel&Zko-Roman: -No based on oganed enanmen/deanmen - enanmen a a gen leel ges se o an ensemble of mxes of ndled and enonmenal a w asend/desend o leels of neal boyany and dean

18

19

20 b

21 λ b b, * λ d b b b ] ex[ ] ex[ * λ λ λ eemnng faonal enanmen aes e.g. wen a e o of an daf 2 * * * 1, O q q q Noe a sne dafs ae saaed w ese o wae ao aboe e C: s deemnes e daf emeae and w.. mxng ao gen s mse. e

22 Faonal enanmen aes fo daf ensembles a Sngle ensemble membe deanng a E λ ; 0 < ex λ b [ ] b b eanmen oe a fne de Δ : b see ensemble based on a ange of os / Δ E, λ ; λ λ λ λ Δλ Δ

23 Boyany Song Enanmen odes mxes of a faon, f, of enonmenal a and 1-f of lody saaed mls daf a. Some of e mxes may be osely boyan w ese o e enonmen, some negegaely boyan, some saaed w ese o wae, some nsaaed θ saaed lody θ osely boyan θ e f f* 0 1 f

24 Kan-Fs 1990 see also Beeon e al, 2003: Sose a enanmen no a mls daf n a laye of kness δ leads o mxng of λ d of enonmenal a w an eqal amon of lody a. K-F assmed a all of e negaely boyan mxes f>f wll be ejeed fom e daf mmedaely wle osely boyan mxes wll be nooaed no e daf. e Pf be e df of mxng faons. en: E 2λ o f 0 fp f df 1 2λ 0 1 f P f df f s assmes a negaely boyan a deans bak o e enonmen wo eqng o desend o a leel of neal boyany fs. Emanel: xes ae all ombnaons of enonemen a and ndled lod-base a. Ea mxe asendsosely boyan/desends negaely boyan, yally wo fe mxng o a leel of neal boyany wee deans.

25 Close and ggeng ggeng: I s feqenly obseed a mos oneon does no o een wen ee s a ose amon of CAPE. Poesses w oeome onee nbon ms also o. Close: e smle lod models sed n mass flx semes do no flly deemne e mass flx. yally an addonal onsan s needed o lose e fomlaon. e lose oblem s enly sll ooly onsaned by eoy. Bo may nole soas oesses

26 Close Semes In Use yally o deemne e ne mass flx a e base of e onee laye ose onegene~ Peaon Ko, fo dee eang oneon Qas-eqlbm [Aakawa and Sbe, 1974 and desendans RAS, Z-, Zang&, 2005] Pognos mass-flx loses Pan & Randall, 1998;Snoa&Falane, 2004 Closes based on bonday-laye fong Emanel&Zko-Roman, 1998; Beeon e al., 2004

M. Choudhury 1. and G. C. Hazarika 2

M. Choudhury 1. and G. C. Hazarika 2 Jonal of led Fld Means Vol. 6 No.. 77-83 3. alable onlne a.jafmonlne.ne ISSN 735-357 ISSN 735-365. e ffes of Vaable Vsos and emal Cond on MHD Osllao Fee Conee Flo as a Veal Plae n Sl Flo Regme Vaable Son

More information

The sound field of moving sources

The sound field of moving sources Nose Engneeng / Aoss -- ong Soes The son el o mong soes ong pon soes The pesse el geneae by pon soe o geneal me an The pess T poson I he soe s onenae a he sngle mong pon, soe may I he soe s I be wen as

More information

Mass-Spring Systems Surface Reconstruction

Mass-Spring Systems Surface Reconstruction Mass-Spng Syses Physally-Based Modelng: Mass-Spng Syses M. Ale O. Vasles Mass-Spng Syses Mass-Spng Syses Snake pleenaon: Snake pleenaon: Iage Poessng / Sae Reonson: Iage poessng/ Sae Reonson: Mass-Spng

More information

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Fne Dffeence Mehod fo Odnay Dffeenal Eqaons Afe eadng hs chape, yo shold be able o. Undesand wha he fne dffeence mehod s and how o se o solve poblems. Wha s he fne dffeence mehod? The fne dffeence

More information

L-1. Intertemporal Trade in a Two- Period Model

L-1. Intertemporal Trade in a Two- Period Model L-. neempoal Tade n a Two- Peod Model Jaek Hník www.jaom-hnk.wbs.z Wha o Shold Alead now en aon def... s a esl of expos fallng sho of mpos. s a esl of savngs fallng sho of nvesmens. S A B NX G B B M X

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

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION

ELECTROMAGNETISM, NUCLEAR STRUCTURES & GRAVITATION . l & a s s Vo Flds o as l axwll a l sla () l Fld () l olasao () a Flx s () a Fld () a do () ad è s ( ). F wo Sala Flds s b dd l a s ( ) ad oool a s ( ) a oal o 4 qaos 3 aabls - w o Lal osas - oz abo Lal-Sd

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

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v

dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac,

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

Chapter Finite Difference Method for Ordinary Differential Equations

Chapter Finite Difference Method for Ordinary Differential Equations Chape 8.7 Finie Diffeence Mehod fo Odinay Diffeenial Eqaions Afe eading his chape, yo shold be able o. Undesand wha he finie diffeence mehod is and how o se i o solve poblems. Wha is he finie diffeence

More information

On the Physical Significance of the Lorentz Transformations in SRT. Department of Physics- University of Aleppo, Aleppo- Syria ABSTRACT

On the Physical Significance of the Lorentz Transformations in SRT. Department of Physics- University of Aleppo, Aleppo- Syria ABSTRACT On he Phsal Sgnfane of he Loen Tansfomaons n SRT Na Hamdan Sohel aa Depamen of Phss- Unes of leppo leppo- Sa STRCT One show all fas ha seem o eqe he naane of Mawell's feld eqaons nde Loen ansfomaons [nsen's

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles

Course Outline. 1. MATLAB tutorial 2. Motion of systems that can be idealized as particles Couse Oulne. MATLAB uoal. Moon of syses ha can be dealzed as pacles Descpon of oon, coodnae syses; Newon s laws; Calculang foces equed o nduce pescbed oon; Deng and solng equaons of oon 3. Conseaon laws

More information

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

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

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is

( ) ( ) Weibull Distribution: k ti. u u. Suppose t 1, t 2, t n are times to failure of a group of n mechanisms. The likelihood function is Webll Dsbo: Des Bce Dep of Mechacal & Idsal Egeeg The Uvesy of Iowa pdf: f () exp Sppose, 2, ae mes o fale of a gop of mechasms. The lelhood fco s L ( ;, ) exp exp MLE: Webll 3//2002 page MLE: Webll 3//2002

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

A B C DEF A AE E F A A AB F F A

A B C DEF A AE E F A A AB F F A A B C DEF A AE E F A A AB F F A F A F A B E A A F DEF AE D AD A B 2 FED AE A BA B EBF A F AE A E F A A A F ED FE F A F ED EF F A B E AE F DEF A BA FA B E F F E FB ED AB ADA AD A BA FA B AE A EFB A A F

More information

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson Convecive Hea Tansfe (6) Foced Convecion (8) Main Andesson Agenda Convecive hea ansfe Conini eq. Convecive dc flow (inodcion o ch. 8) Convecive hea ansfe Convecive hea ansfe Convecive hea ansfe f flid

More information

T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, )

T T V e g em D e j ) a S D } a o m ek j g ed b m d mq m [ d, ) . ) 6 3 ; 6 ;, G E E W T S W X D ^ L J R Y [ _ ` E ) '" " " -, 7 4-4 4-4 ; ; 7 4 4 4 4 4 ;= : " B C CA BA " ) 3D H E V U T T V e g em D e j ) a S D } a o "m ek j g ed b m "d mq m [ d, ) W X 6 G.. 6 [ X

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

CSE590B Lecture 4 More about P 1

CSE590B Lecture 4 More about P 1 SE590 Lece 4 Moe abo P 1 Tansfoming Tansfomaions James. linn Jimlinn.om h://coses.cs.washingon.ed/coses/cse590b/13a/ Peviosly On SE590b Tansfomaions M M w w w w w The ncion w w w w w w 0 w w 0 w 0 w The

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

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

CIRCUITS AND ELECTRONICS. The Impedance Model

CIRCUITS AND ELECTRONICS. The Impedance Model 6.00 UTS AND EETONS The medance Mode e as: Anan Agawa and Jeffey ang, couse maeas fo 6.00 cus and Eeconcs, Sng 007. MT OenouseWae (h://ocw.m.edu/), Massachuses nsue of Technoogy. Downoaded on [DD Monh

More information

SAVE THESE INSTRUCTIONS

SAVE THESE INSTRUCTIONS SAVE ESE NSUNS FFEE AE ASSEMY NSUNS SYE #: 53SN2301AS ASSEME N A FA, PEED SUFAE PPS EAD SEWDVE NEEDED F ASSEMY; N NUDED PA S FGUE UANY DESPN AA 1 P P 1 P EF SDE FAME 1 P G SDE FAME D 1 P A PANE E 2 PS

More information

Ch04: Motion in two and three dimensions (2D and 3D)

Ch04: Motion in two and three dimensions (2D and 3D) Ch4: Motion in two and thee dimensions (D and 3D) Displacement, elocity and acceleation ectos Pojectile motion Cicula motion Relatie motion 4.: Position and displacement Position of an object in D o 3D

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

Years. Marketing without a plan is like navigating a maze; the solution is unclear.

Years. Marketing without a plan is like navigating a maze; the solution is unclear. F Q 2018 E Mk l lk z; l l Mk El M C C 1995 O Y O S P R j lk q D C Dl Off P W H S P W Sl M Y Pl Cl El M Cl FIRST QUARTER 2018 E El M & D I C/O Jff P RGD S C D M Sl 57 G S Alx ON K0C 1A0 C Tl: 6134821159

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

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

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

3.3 Properties of Vortex Structures

3.3 Properties of Vortex Structures .0 - Maine Hydodynamics, Sping 005 Lecte 8.0 - Maine Hydodynamics Lecte 8 In Lecte 8, paagaph 3.3 we discss some popeties of otex stctes. In paagaph 3.4 we dedce the Benolli eqation fo ideal, steady flow.

More information

Orthotropic Materials

Orthotropic Materials Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε

More information

An Optimization Model for Empty Container Reposition under Uncertainty

An Optimization Model for Empty Container Reposition under Uncertainty n Omzon Mode o Emy onne Reoson nde neny eodo be n Demen o Mnemen nd enooy QM nd ene de Reee s es nsos Moné nd Mssmo D Fneso Demen o Lnd Enneen nesy o Iy o Zdds Demen o Lnd Enneen nesy o Iy Inodon. onne

More information

UCSD Phys 4A Intro Mechanics Winter 2016 Ch 5 Solutions

UCSD Phys 4A Intro Mechanics Winter 2016 Ch 5 Solutions UCSD Phs 4 Into Mechanics Winte 016 Ch 5 Solutions 0. Since the uppe bloc has a highe coefficient of iction, that bloc will dag behind the lowe bloc. Thus thee will be tension in the cod, and the blocs

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

Numerical, Experimental and Theoretical Studies on Mechanism of K-H Instability and Ring Generation bhids behind Supersonic MVG

Numerical, Experimental and Theoretical Studies on Mechanism of K-H Instability and Ring Generation bhids behind Supersonic MVG Nmecal Eemenal and heoecal Sdes on Mechansm of K-H Insably and Rng Geneaon bhds behnd Sesonc MVG Yongha Yan Qn L Chaoqn L Fank L echncal Reo - h://www.a.ed/mah/en/ Nmecal Eemenal and heoecal Sdes on Mechansm

More information

Instantaneous velocity field of a round jet

Instantaneous velocity field of a round jet Fee shea flows Instantaneos velocty feld of a ond et 3 Aveage velocty feld of a ond et 4 Vtal ogn nozzle coe Developng egon elf smla egon 5 elf smlaty caled vaables: ~ Q ξ ( ξ, ) y δ ( ) Q Q (, y) ( )

More information

A Kolmogoroff-type Scaling for the Fine Structure of Drainage Basins

A Kolmogoroff-type Scaling for the Fine Structure of Drainage Basins Kolmogooff-type Scaling fo the Fine Stcte of Dainage Basins Gay Pake, Uniesity of Minnesota Pete K. Haff and. Bad May, Dke Uniesity Kolmogooff scaling in tblent flows: Enegy Cascade Tblent enegy is podced

More information

Department of Chemical Engineering University of Tennessee Prof. David Keffer. Course Lecture Notes SIXTEEN

Department of Chemical Engineering University of Tennessee Prof. David Keffer. Course Lecture Notes SIXTEEN D. Keffe - ChE 40: Hea Tansfe and Fluid Flow Deamen of Chemical Enee Uniesi of Tennessee Pof. Daid Keffe Couse Lecue Noes SIXTEEN SECTION.6 DIFFERENTIL EQUTIONS OF CONTINUITY SECTION.7 DIFFERENTIL EQUTIONS

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

More information

Revision of Lecture Eight

Revision of Lecture Eight Revision of Lectue Eight Baseband equivalent system and equiements of optimal tansmit and eceive filteing: (1) achieve zeo ISI, and () maximise the eceive SNR Thee detection schemes: Theshold detection

More information

A PATRA CONFERINŢĂ A HIDROENERGETICIENILOR DIN ROMÂNIA,

A PATRA CONFERINŢĂ A HIDROENERGETICIENILOR DIN ROMÂNIA, A PATRA ONFERINŢĂ A HIDROENERGETIIENILOR DIN ROMÂNIA, Do Pael MODELLING OF SEDIMENTATION PROESS IN LONGITUDINAL HORIZONTAL TANK MODELAREA PROESELOR DE SEPARARE A FAZELOR ÎN DEANTOARE LONGITUDINALE Da ROBESU,

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson

Convective Heat Transfer (6) Forced Convection (8) Martin Andersson Convecive Hea Tansfe (6) Foced Convecion (8) Main Andesson Agenda Convecive hea ansfe Conini eq. Convecive dc flow (inodcion o ch. 8) Convecive hea ansfe Convecive hea ansfe Convecive hea ansfe f flid

More information

On Fractional Operational Calculus pertaining to the product of H- functions

On Fractional Operational Calculus pertaining to the product of H- functions nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom

More information

K E L LY T H O M P S O N

K E L LY T H O M P S O N K E L LY T H O M P S O N S E A O LO G Y C R E ATO R, F O U N D E R, A N D PA R T N E R K e l l y T h o m p s o n i s t h e c r e a t o r, f o u n d e r, a n d p a r t n e r o f S e a o l o g y, a n e x

More information

Chap13. Universal Gravitation

Chap13. Universal Gravitation Chap13. Uniesal Gaitation Leel : AP Physics Instucto : Kim 13.1 Newton s Law of Uniesal Gaitation - Fomula fo Newton s Law of Gaitation F g = G m 1m 2 2 F21 m1 F12 12 m2 - m 1, m 2 is the mass of the object,

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

ISSUES RELATED WITH ARMA (P,Q) PROCESS. Salah H. Abid AL-Mustansirya University - College Of Education Department of Mathematics (IRAQ / BAGHDAD)

ISSUES RELATED WITH ARMA (P,Q) PROCESS. Salah H. Abid AL-Mustansirya University - College Of Education Department of Mathematics (IRAQ / BAGHDAD) Eoen Jonl of Sisics n Poiliy Vol. No..9- Mc Plise y Eoen Cene fo Resec Tinin n Develoen UK www.e-onls.o ISSUES RELATED WITH ARMA PQ PROCESS Sl H. Ai AL-Msnsiy Univesiy - Collee Of Ecion Deen of Meics IRAQ

More information

A DISCRETE PARAMETRIC MARKOV-CHAIN MODEL OF A TWO NON-IDENTICAL UNIT COLD STANDBY SYSTEM WITH PREVENTIVE-MAINTENANCE

A DISCRETE PARAMETRIC MARKOV-CHAIN MODEL OF A TWO NON-IDENTICAL UNIT COLD STANDBY SYSTEM WITH PREVENTIVE-MAINTENANCE IJRRA 7 (3) Decembe 3 www.aaess.com/volumes/vol7issue3/ijrra_7_3_6.df A DICRETE PARAMETRIC MARKOV-CHAIN MODEL OF A TWO NON-IDENTICAL UNIT COLD TANDBY YTEM WITH PREVENTIVE-MAINTENANCE Rakes Gua¹ * & Paul

More information

Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial Lindley Distribution

Stochastic Orders Comparisons of Negative Binomial Distribution with Negative Binomial Lindley Distribution Oen Jounal of Statcs 8- htt://dxdoog/46/os5 Publshed Onlne Al (htt://wwwscrpog/ounal/os) Stochac Odes Comasons of Negatve Bnomal Dbuton wth Negatve Bnomal Lndley Dbuton Chooat Pudommaat Wna Bodhsuwan Deatment

More information

Relative and Circular Motion

Relative and Circular Motion Relaie and Cicula Moion a) Relaie moion b) Cenipeal acceleaion Mechanics Lecue 3 Slide 1 Mechanics Lecue 3 Slide 2 Time on Video Pelecue Looks like mosly eeyone hee has iewed enie pelecue GOOD! Thank you

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

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

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

HW Solutions # MIT - Prof. Please study example 12.5 "from the earth to the moon". 2GmA v esc

HW Solutions # MIT - Prof. Please study example 12.5 from the earth to the moon. 2GmA v esc HW Solutions # 11-8.01 MIT - Pof. Kowalski Univesal Gavity. 1) 12.23 Escaping Fom Asteoid Please study example 12.5 "fom the eath to the moon". a) The escape velocity deived in the example (fom enegy consevation)

More information

2-d Motion: Constant Acceleration

2-d Motion: Constant Acceleration -d Moion: Consan Acceleaion Kinemaic Equaions o Moion (eco Fom Acceleaion eco (consan eloci eco (uncion o Posiion eco (uncion o The eloci eco and posiion eco ae a uncion o he ime. eloci eco a ime. Posiion

More information

III. Electromechanical Energy Conversion

III. Electromechanical Energy Conversion . Electoancal Enegy Coneson Schematc epesentaton o an toancal enegy coneson ece coppe losses coe losses (el losses) ancal losses Deental enegy nput om tcal souce: W V t Rt e t t W net ancal enegy output

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

c- : r - C ' ',. A a \ V

c- : r - C ' ',. A a \ V HS PAGE DECLASSFED AW EO 2958 c C \ V A A a HS PAGE DECLASSFED AW EO 2958 HS PAGE DECLASSFED AW EO 2958 = N! [! D!! * J!! [ c 9 c 6 j C v C! ( «! Y y Y ^ L! J ( ) J! J ~ n + ~ L a Y C + J " J 7 = [ " S!

More information

Physics 218, Spring March 2004

Physics 218, Spring March 2004 Today in Physis 8: eleti dipole adiation II The fa field Veto potential fo an osillating eleti dipole Radiated fields and intensity fo an osillating eleti dipole Total satteing oss setion of a dieleti

More information

Topic 2 [312 marks] The rectangle ABCD is inscribed in a circle. Sides [AD] and [AB] have lengths

Topic 2 [312 marks] The rectangle ABCD is inscribed in a circle. Sides [AD] and [AB] have lengths Topic 2 [312 marks] 1 The rectangle ABCD is inscribed in a circle Sides [AD] and [AB] have lengths [12 marks] 3 cm and (\9\) cm respectively E is a point on side [AB] such that AE is 3 cm Side [DE] is

More information

EELE 3331 Electromagnetic I Chapter 4. Electrostatic fields. Islamic University of Gaza Electrical Engineering Department Dr.

EELE 3331 Electromagnetic I Chapter 4. Electrostatic fields. Islamic University of Gaza Electrical Engineering Department Dr. EELE 3331 Electomagnetic I Chapte 4 Electostatic fields Islamic Univesity of Gaza Electical Engineeing Depatment D. Talal Skaik 212 1 Electic Potential The Gavitational Analogy Moving an object upwad against

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

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

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain

Support Appendix The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System Ananth V Iyer and Apurva Jain So Aedx Te og Ia o a Mxe o Ode-Sea a Maae-Reale Sye Aa V Iye ad Ava Ja Teoe 4: e ad q be e obably geeag o o e eady-ae be o ode ee e ye by a avg H ode ad a M ode eevely Te ad q Wee ad be e ee oo o e ollowg

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

Silence is the only homogeneous sound field in unbounded space

Silence is the only homogeneous sound field in unbounded space Cha.5 Soues of Sound Slene s he onl homogeneous sound feld n unbounded sae Sound feld wh no boundaes and no nomng feld 3- d wave equaon whh sasfes he adaon ondon s f / Wh he lose nseon a he on of = he

More information

CHAPTER 25 ELECTRIC POTENTIAL

CHAPTER 25 ELECTRIC POTENTIAL CHPTE 5 ELECTIC POTENTIL Potential Diffeence and Electic Potential Conside a chaged paticle of chage in a egion of an electic field E. This filed exets an electic foce on the paticle given by F=E. When

More information

AP Physics C: Electricity and Magnetism 2001 Scoring Guidelines

AP Physics C: Electricity and Magnetism 2001 Scoring Guidelines AP Physics C: Electicity and Magnetism 1 Scoing Guidelines The mateials included in these files ae intended fo non-commecial use by AP teaches fo couse and exam pepaation; pemission fo any othe use must

More information

b Ψ Ψ Principles of Organic Chemistry lecture 22, page 1

b Ψ Ψ Principles of Organic Chemistry lecture 22, page 1 Pinciples of Oganic Chemisty lectue, page. Basis fo LCAO and Hückel MO Theoy.. Souces... Hypephysics online. http://hypephysics.phy-ast.gsu.edu/hbase/quantum/qm.html#c... Zimmeman, H. E., Quantum Mechanics

More information

AVS fiziks. Institute for NET/JRF, GATE, IIT-JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES

AVS fiziks. Institute for NET/JRF, GATE, IIT-JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES ELECTROMAGNETIC THEORY SOLUTIONS GATE- Q. An insulating sphee of adius a aies a hage density a os ; a. The leading ode tem fo the eleti field at a distane d, fa away fom the hage distibution, is popotional

More information

2. Electrostatics. Dr. Rakhesh Singh Kshetrimayum 8/11/ Electromagnetic Field Theory by R. S. Kshetrimayum

2. Electrostatics. Dr. Rakhesh Singh Kshetrimayum 8/11/ Electromagnetic Field Theory by R. S. Kshetrimayum 2. Electostatics D. Rakhesh Singh Kshetimayum 1 2.1 Intoduction In this chapte, we will study how to find the electostatic fields fo vaious cases? fo symmetic known chage distibution fo un-symmetic known

More information

Made the FIRST periodic table

Made the FIRST periodic table Made the FIRST periodic table 1869 Mendeleev organized the periodic table based on the similar properties and relativities of certain elements Later, Henri Moseley organized the elements by increasing

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

Introduction to Finite Element Method

Introduction to Finite Element Method p. o C d Eo E. Iodo o E Mod s H L p. o C d Eo E o o s Ass L. o. H L p://s.s.. p. o C d Eo E. Cos. Iodo. Appoo o os & o Cs. Eqos O so. Mdso os-es 5. szo 6. wo so Es os 7. os ps o Es 8. Io 9. Co C Isop E.

More information

Eddy Currents and Magnetic Calibrations in LDX using a Copper Plasma. D.P. Boyle, PPPL M.E. Mauel, D.T. Garnier, Columbia J.

Eddy Currents and Magnetic Calibrations in LDX using a Copper Plasma. D.P. Boyle, PPPL M.E. Mauel, D.T. Garnier, Columbia J. Eddy Cuents and Magneti Calibations in LDX using a Coppe Plasma D.P. Boyle PPPL M.E. Mauel D.T. Ganie Columbia J. Kesne MIT PSFC Coppe Plasma Oveview LDX Magnetis Goals Calibate magneti diagnostis positions

More information

EE 410/510: Electromechanical Systems Chapter 3

EE 410/510: Electromechanical Systems Chapter 3 EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All

More information

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103 PHY 7 Eleodnais 9-9:50 AM MWF Olin 0 Plan fo Leue 0: Coninue eading Chap Snhoon adiaion adiaion fo eleon snhoon deies adiaion fo asonoial objes in iula obis 0/05/07 PHY 7 Sping 07 -- Leue 0 0/05/07 PHY

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information