Centroid is the point where the resultant of distributed force system is assumed to act and generate the same dynamic results.
|
|
- Robert Poole
- 5 years ago
- Views:
Transcription
1 DYNMI ORE NLYSIS If he cceler f g lks echs re rug wh csderble u f ler d/r gulr ccelers, er frces re geered d hese er frces ls us be erce b he drg r s dd he frces eered b he eerl ld r wrk he echs des. S, 0 d τ 0 re lger pplcble. Gerg rules wll be: τ Iα I d re erl (bdl) prperes. hs sge we eed kw he descrp f he erl prperes. erd d Mss ere erd s he p where he resul f dsrbued frce sse s ssued c d geere he se dc resuls. Resul rce erd If he dsrbued frce s gr frce cg ech prcle f ss, he ccered frce self s clled he wegh d he cerd s clled he ceer f gr r ss ceer. Mss es dsce, r, s clled s he frs ss e. Ths ccep f frs ss e s rll used derg he ceer f ss f sse f prcles r rgd bd. I fgure seres f sses re lced le. The ceer f ss r cerd s lced
2 - G - ȳ G The crdes f he sses lced ple c be bed s: d Ths prcedure c be eeded sses ccered lue b spl wrg equ be fr he z s. re geerl fr f ss ceer lc fr hree desl bd c be bed b usg egr sed f su. The rels he bece d, d d zd z Mss Me f Ier Mss e f er s he e ge rl er, he rl lg f ss fr ler. I ppers he relshps fr he dcs f rl. The Mss Me f Ier f sld esures he sld's bl ress chges rl speed bu specfc s. The e f er fr p ss s jus he ss es he squre f perpedculr dsce he r s. The ss e f er fr sgle prcle s ge s:
3 I 00 r where he ss f he prcle, d r he shres dsce fr he s f r he prcle r Whe clculg he ss e f er fr rgd bd, e hks f he bd s su f prcles, ech hg ss f d. Iegr s used su he e f er f ech d ge he ss e f er f bd. The equ fr he ss e f er f he rgd bd s r d I r d r d The egr er ss c be replced b egr er lue, re, r legh. r full hree desl bd usg he des ρ e c rele he elee f ss he elee f lue. llwg re he hecl equs clcule he Mss Me f Ier:
4 r d r rz z I r d ( z )d I r d ( z )d I zz rz d ( )d These hree egrls re clled he prcple ss e f er f he bd. her hree slr egrls re I I d I I z z I zd z I zd z d hese hree egrls re clled he ss prducs f er f he bd. Rdus f gr: See plce f he ss e f er he rdus f gr k s prded. The ss e f er c be clculed fr k usg he rel I k where s he l ss f he bd. Oe c erpre he rdus f gr s he dsce fr he s h e culd pu sgle prcle f ss equl he ss f he rgd bd d he hs prcle he he se ss e f er s he rgl bd.
5 IG, G k k Orgl d Mdel Mdel Prllel-s here: The e f er rud s c be clculed fr he e f er rud prllel s whch psses hrugh he ceer f ss. The equ clcule hs s clled he prllel s here d s ge s I I G d IG, G d Eple ) Wh re he ss es f erl f p ss bu s pssg hrugh self d bu s r dsce w fr? Mss es f erl f p ss bu s pssg hrugh self I r d 0d 0. NS. r Mss es f erl f p ss bu s r dsce w fr. Usg prllel s here I I r 0 r r NS.
6 b) d he ss e f er f sleder rd f legh L (sleder rd es h hs legh, d he reg dess re eglgble sll) bu s perpedculr he rd d pssg hrugh s ss ceer. L L/ I L / 0 d r ser L L/ d Le des f he erl s ρ kg/. The, fesl ss hs be equ, d ρd. Subsug L / L / ρ L L I ρd ρ 0 NS Eple ufr seel br shw he fgure s used s scllg c fllwer. Dre he equ f ss e f er f he fllwer bu s hrugh O. Use he des f seel 7800kg / ρ. H: I ( )d c 5 c 50 c 5 c O 5 c kkn/
7 z r d dz d w l d r I zz where d ρdddz Subsug hese eq. dddz I zz ρ ) ( dddz dddz I zz ρ ρ / 0 / 0 w l zz zz d l d w I d l d w I ρ ρ ρ ρ w l l w I zz ρ ρ w w l l l w I zz ρ ρ sce ρ w l he w l w l I zz ss e f er bu O c be fud b prllel s here, r
8 I 0 l w l 7l 4w I zz d, kg d I kg. 48 D leber s Prcple: D leber s prcple pers he reduc f prble dcs e scs. Ths s ccplshed b rducg fcus frce equl gude he prduc f he ss f he bd d s cceler, d dreced ppse he cceler. The resul s cd f kec equlbru. If we subrc ecr f gude fr bh sdes f he New s secd lw. The eg f he equ;.e. dc f dc cse sll hlds rue, bu equ, hg zer rgh hd sde beces er es sle, lke h sc frce lss prble. 0 d slrl fr e τ α α α 0 Slu f dc prble usg D leber s prcple ) D cceler lss d clcule he ler cceler f he ss ceers f ech g lk. ls clcule he gulr cceler f ech g lk. ) Msses d cerdl ers f ech g lk us be kw befrehd. ) dd e fcus frce ech g bd equl he ss f h bd es he cceler f s ss ceer, drec ppse s cceler, ppled drecl he ceer f gr, pr fr he lred esg rel frces. ) dd fcus rque ech g bd equl he cerdl er f h bd es s gulr cceler, drec r sese ppse h f cceler pr fr he lred esg rel rques. ) Sle scll.
9 Eple I he fgure, duble- slder echs wrkg hrzl ple s shw. The slder s g rghwrd wh cs elc f /sec. lcule he u f frce he slder he ge kec se. 0 c, G G 5 c, θ kg, 0.8 kg, I 0.0 kg / s? b? G / Scle: 4 c. sds fr /sec 4 / s / s? b G / s fr G? 5.96 / s 7,698 / s
10 G / / s α α 78.98rd / s 0. W D leber frces d es N 90 G N 90 Iα N W N 6. G 584 N Iα N G θ 4
11 7.698 N N N G θ 4 4 0; 0 4 0; N M 0; cs cs N 5. N s 60 0
12 Eple rb pulr wrkg he ercl ple s shw fgure. The pld p s he elc f G /sec wh 0 d cceler f 5 /sec wh G 0. Mss f he pld s 0 kg. d he frces h he curs eer. 0 kg, 0 kg.,, G 0.5. G 0.5 G G Lk s rslg, s p hs lk hs he se elc d cceler,,g, /4. /s /.7 /s 60 /s O 60,G.5 /s G4.4 /s O g9.8 /s 0.0
13 cceler f d G cludg he effec f gr beces: G.4 / 4 s D leber frces P G G N N N 0.0 G τ 4.4 N 44. N ercl cur crres hs frce ( ) s N NS τ ( ) S N G 75 N g τc c c Hrzl cur crres hs frce N NS 5
14 Eple Sple sprg ss sse s shw he fgure, whch hs ss f kg, d sprg sffess s 500 N/. ) Wre he kec eerg f hs sse b) Wre he pel eerg f hs sse c) Dre he equ f f hs sse b usg Lgrge equ. d) Ge slu he equ f. d) k 500N/ If he sse s ll dsplced b 0. d relesed fr res, clcule he plude f he resulg br. ) Kec eerg, K & b) Pel eerg, k c) d d L K & δl δl 0 δ& δ δl d δl δl &, &&, k δ& d δ& δ k Subsug be eq & ( k ) 0 & k 0 d) Sl, csω sω e) r 0 d csω 0 sω 0 r 0 d & 0 & ω sω ω csω 0 ω sω 0 ω csω 0 0 plude
15 Eple rk f he echs shw s blced such h he ss ceer s. Mss ceer f he lk D s s d p. he ge s, lk 4 s rslg rghwrd wh cs elc f 5 /sec. lcule he u f r rque requred crk keep he ge kecs se. D θ c, D4 c, c G 5 c, 4 5 kg, I I I kg-? 5 / sec?.85 /sec /5.05 /sec
16 / sec ?? / sec fr fr / 776 /sec /48 /sec 800 / sec α α 0000 rd / sec W 776 α α 0078 rd / sec D leber frces d es N 8 W I α N I α N W W
17 D 4000N 000N 504 N T θ45 4 D 4000N 000N θ N T 4 T4 4 r D f he lk 0 ; 0 () 0 ; 0 () M 0 ; 504 T s cs 0 0 ()
18 r D f he lk M 0 ; 0 ; 0 ; cs s s 45 cs (4) (5) (6) r D f he lk 4 0 ; 0 (7) 0 ; 4 0 (8) M 0 ;T4 0 (9) r eq N r eq N r eq N r eq ( ) T 6. 9 N W
19 Eple I he fgure r gered shf whch flwheel s ued s shw. The es f er f he prs re s fllws: flwheel, I f kg. ; flwheel shf, I fs 0.0 kg. ; ger, I g 0. kg. ; p, I p kg. ; r, I 0.05 kg.. If he r hs srg rque f 75 N., wh s he gulr cceler he flwheel shf he s he r swch s ured? Tgel ccelers f he gers he cc p re equl ech her. Tgel cceler f he ger d flwheel ssebl s αg g r α d gel cceler f he g g r d p ssebl s g r α. The, p p IIfsIfIg r α r α () g g p p G αp G r he freebd dgr f he r d p ssebl; T IIpI T r I α () G p p r he freebd dgr f he ger d flwheel ssebl; G r g I α () g Slg hese hree equs fr α g ; T α I rp I rg rg rp g 7. 7 rd / sec
20 Eple Sple pedulu s shw he fgure, whch hs ss f kg, d legh f 0.5. ) Wre he kec eerg f hs sse b) Wre he pel eerg f hs sse c) Dre he equ f f hs sse b usg Lgrge equ. d) Ge slu he equ f. d) If he sse s ll dsplced b 0. rd d relesed fr res, clcule he plude f he resulg br. ) Kec eerg, & θ K I,where I b) Pel eerg, g( l l csθ ) & c) L K l θ gl( csθ ) d d δl δl 0 δθ& δθ δ L & d δ L l θ δθ&, l & θ δl d δθ&, gl sθ δ l Subsug be eq l && θ ( gl sθ ) 0 l && θ gl sθ 0 r sll gles s θ θ & θ ω θ 0 where ω && θ g l d) Sl, θ csω sω e) r 0 d θ θ g l θ csω 0 sω 0 θ r 0 d & θ 0 sθ 0 & θ ω sω ω csω 0 ω sω 0 ω csω 0 0 plude rd
21 Eple duble slder echs wrkg hrzl ple s shw fgure. The slder s g upwrd wh cs elc f 4 /sec. lcule he u f frces requred lk he ge kec se. 7 c, G c, 4 0, 4 0 kg, I 0.05 kg- 60 G 4 0? 4 / sec? 0 r 00 /5.85/sec 4/sec./sec 0
22 ?? 0 r / sec fr /58/s / G 758 /s G / s α rd / s D leber frces d es G W N 0 I α N W 60 G 54.4 N 7580 N 4 0
23 N d 60 d G 48.5 N 54.4 N 4 N 0 r he D; 0 ; N cs 0 N cs70 0 () 0 ; s 0 N s70 0 () M 0 ; d N d N fr eq s s N upwrd () N
24 Eple Ech f he w dru d ceced hubs f 0c rdus hs ss e f er f kg-. lcule he gulr cceler f ech dru. se r0 c se r0 c 40 N 40/9.8 kg se r0 c 40 N τ Iα τ T r T r I α 0 40 α 00 α 4rd / sec W se r0 c T T 40/9.8 kg g τ Iα τ T r T r I α () T g T g () r α () Subsug eq d slg fr T T rα g Subsug T eq d slg fr α gr r αr gr Iα α. 84 rd / sec W I r
25 - (5%) I he fgure sldercrk echs s shw wh he pprpre dess. rk f he 4 echs shw s G blced such h he 00 N ss ceer s. Mss D(6c, c) ceer f he lk 4 s. he ge s, lk 4 s rslg rghwrd wh cs elc f 5 /sec. lcule he 0 u f r rque requred crk keep he ge kec se. Mechs s wrkg hrzl ple. ssue frc bewee he lk d 4. Mechs s ge s scle. kg, 6 kg, 4 4 kg, I 0.0 kg, I 0. 0 kg? 5 / sec? / sec 0.05?.6 5. / sec 0.05? fr fr 57. / sec 6
26 774.4 α α 5488rd / sec α α 5408rd / sec 0.05 D leber frces d es N G 5 W W I α N I α N W W X Ig Y X X Y N 4 00 N Y X b c c/b b/c 0 I α r D f he lk 0 ; 0 0 ; 0 M 0; 54,08 0,0 0,0 T 54, , ,6 T T 0,N. ( W ) r D f he lk
27 0; 45,8 N 0; 498,6N M 96,8 N 476,66cs , ,66cs 45 96,8 5, ; 0,044 0,05 I α g 0,05 0 r D f he lk 4 0 ; 00N 0; N 0 N M 0; T4 0,0 0,07 0
28 - (0%) er cupler lk f he slder crk echs ge ques fr where l w p sses d es, ssfg he crer f equlec f sses d lc f ss ceers. The, usg ur w ss del, clcule he u f r rque requred crk keep he ge kec se s ques. pre ur resul wh he resul f ques. Mechs s ge s scle. 4 G D(6c, c) 0 00 N D 4 00 N 0 kg l l 47kg l l 0,05 Lk s w frce eber s 5,47 00/cs(0) r lk 0,005 0,05I α T T
29 Q- (0%) rk f he echs shw s blced such h he ss ceer s. Mss ceer f he lk P s P. Mss f he lk s eglgble sll. he ge s; lk s rg W drec wh cs elc f 5 rd/sec, lk P s rg W drec wh zer gulr elc d gulr cceler f 5 rd/sec. lcule he u f r rque requred crk P keep he ge kecs se. Mechs s wrkg hrzl ple ge scle. 4 5 kg, I I kg- 4 P ω 0, α 5 rd / sec ω 4 5rd / sec P P α / sec D leber frces d rques bece; P N I α ( ) N W Lk 4 d s w frce eber, 8.75 N P.86 N T r freebd dgr f he lk ; ; () 0 M 0; T 0 () M 0; T 0 () Slg hese hree equ fr T 5. 9 N W
KINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS
KINEMTICS OF RIGID ODIES RELTIVE VELOCITY RELTIVE CCELERTION PROLEMS 1. The crculr dsk rolls o he lef whou slppg. If.7 m s deerme he eloc d ccelero of he ceer O of he dsk. (516) .7 m s O? O? . The ed rollers
More informationKINEMATICS OF RIGID BODIES RELATIVE VELOCITY RELATIVE ACCELERATION PROBLEMS
KINEMTICS F RIGID DIES RELTIVE VELCITY RELTIVE CCELERTIN PRLEMS 1. The crculr dsk rolls o he lef whou slppg. If.7 m s deerme he eloc d ccelero of he ceer of he dsk. (516) .7 m s?? . The eloc of roller
More information() t ( ) ( ) ( ) ( ) ( ) ( ) ω ω. SURVIVAL Memorize + + x x. m = = =
SURVIVL ' uu λ -Λ : > l + S e e e S ω ο ω ω Ufrm DeMvre S X e Vr X ω λ Eel S X e e λ ω ω ww S + S f ο S + S e where e S S S S S Prcles T X s rm vrble fr remg me ul eh f sus ge f + survvl fuc fr T X f,
More informationLecture 3 summary. C4 Lecture 3 - Jim Libby 1
Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch
More informationSTOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION
The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele
More informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationThe stress transfer calculations presented in the main text reports only our preferred
GS R ITEM 214377 L.S. Wlh e l. GS T REPOSITORY COULOM STRESS CHNGE PRMETER INPUT TESTS The re rfer lul preee he e repr ly ur preferre el. lhugh he geerl per ue re rbu, he el f he reul ul hge f el preer
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationChapter 8: Propagating Quantum States of Radiation
Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l
More informationStat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty
S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.
More informationDecompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)
. Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.
More informationdm 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 informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More informationChapter 2. Review of Hydrodynamics and Vector Analysis
her. Ree o Hdrodmcs d Vecor Alss. Tlor seres L L L L ' ' L L " " " M L L! " ' L " ' I s o he c e romed he Tlor seres. O he oher hd ' " L . osero o mss -dreco: L L IN ] OUT [mss l [mss l] mss ccmled h me
More informationModeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25
Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:
More information2015 Sectional Physics Exam Solution Set
. Crrec answer: D Ne: [quan] denes: uns quan WYSE cadec Challenge 05 Secnal Phscs Ea SOLUTION SET / / / / rce lengh lengh rce enu ass lengh e a) / ass ass b) energ c) wrk lengh e pwer energ e d) (crrec
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More information6.6 Moments and Centers of Mass
th 8 www.tetodre.co 6.6 oets d Ceters of ss Our ojectve here s to fd the pot P o whch th plte of gve shpe lces horzotll. Ths pot s clled the ceter of ss ( or ceter of grvt ) of the plte.. We frst cosder
More information2010 Sectional Physics Solution Set
. Crrec nwer: D WYSE CDEMIC CHLLENGE Secnl hyc E 00 Slun Se y 0 y 4.0 / 9.8 /.45 y. Crrec nwer: y 8 0 / 8 /. Crrec nwer: E y y 0 ( 4 / ) ( 4.9 / ) 5.6 y y 4. Crrec nwer: E 5. Crrec nwer: The e rce c n
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use
More informationIntegral Equations and their Relationship to Differential Equations with Initial Conditions
Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp
More informationObjective of curve fitting is to represent a set of discrete data by a function (curve). Consider a set of discrete data as given in table.
CURVE FITTING Obectve curve ttg s t represet set dscrete dt b uct curve. Csder set dscrete dt s gve tble. 3 3 = T use the dt eectvel, curve epress s tted t the gve dt set, s = + = + + = e b ler uct plml
More informationSquare law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L
MOS Feld-Effec Trassrs (MOSFETs ecure # 4 MOSFET as a Amplfer k ( S Square law express s lear bewee ad. Need perae apprprae reg fr lear behaur. Cpyrgh 004 by Oxfrd Uersy Press, c. MOSFET as a Amplfer S
More informationRequired: Solution: 1.4)
CHAER.) ) 000 000 000 00 k b) 000, 000W 000,000 W 000,000 W 00, 000 W W ) d) k 8.... s 4... s.) 8 r nn n s 9 s p p p.) Gen:.4) n 9 r re r re / dy / r re n n / s dy ) 8 b) nn dy 4 0 0se nds dy 8400s r re
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More informationBy Tom Irvine December 27,
THE STEADY-STATE VIBRATION RESPONSE OF A BAFFED PATE SIMPY-SUPPORTED ON A SIDES SUBJECTED TO RANDOM PRESSURE PANE WAVE EXCITATION AT OBIQUE INCIDENCE Revisi A By T Irvie Deceber 7, 04 Eil: @vibrid.c The
More informationprinciples of f ta f a rt.
DD H L L H PDG D BB PBLH L 20 D PP 32 C B P L s BDWY s BGG M W C WDM DLL P M DC GL CP F BW Y BBY PMB 5 855 C WHL X 6 s L Y F H 5 L & 5 zzzl s s zz z s s» z sk??» szz zz s L ~Lk Bz ZzY Z? ~ s s sgss s z«f
More informationR th is the Thevenin equivalent at the capacitor terminals.
Chaper 7, Slun. Applyng KV Fg. 7.. d 0 C - Takng he derae f each erm, d 0 C d d d r C Inegrang, () ln I 0 - () I 0 e - C C () () r - I 0 e - () V 0 e C C Chaper 7, Slun. h C where h s he Theenn equalen
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationA 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 informationUse 10 m/s 2 for the acceleration due to gravity.
ANSWERS Prjecle mn s he ecrl sum w ndependen elces, hrznl cmpnen nd ercl cmpnen. The hrznl cmpnen elcy s cnsn hrughu he mn whle he ercl cmpnen elcy s dencl ree ll. The cul r nsnneus elcy ny pn lng he prblc
More informationUnscented Transformation Unscented Kalman Filter
Usceed rsformo Usceed Klm Fler Usceed rcle Fler Flerg roblem Geerl roblem Seme where s he se d s he observo Flerg s he problem of sequell esmg he ses (prmeers or hdde vrbles) of ssem s se of observos become
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationT Promotion. Residential. February 15 May 31 LUTRON. NEW for 2019
M NEW fr 2019 A e yer brigs fres skig ruiy fr Lur L reverse- dimmers sé sluis, iludig e rdus. Ple rder, e ll el drive sles rug i-sre merdisig rr smlig, el yu mee yur 2019 gls. Mesr L PRO dimmer Our s flexible
More informationHow Folk Narratives Manage Time in Discourse. John Laudun University of Louisiana
Hw Flk Nrrves Mge Tme Dscurse Jh Ludu Uversy f Lus ludu@lus.edu d s r e d s C e Sm y W e h s Hw Flk Nrrves Cmplc ) y l b s s P ( g c u r e v Mge CsTme ldscurse r r N f e d M l u Cmp Jh Ludu Uversy f Lus
More informationEGN 3321 Final Exam Review Spring 2017
EN 33 l Em Reew Spg 7 *T fshg ech poblem 5 mues o less o pcce es-lke me coss. The opcs o he pcce em e wh feel he bee sessed clss, bu hee m be poblems o he es o lke oes hs pcce es. Use ohe esouces lke he
More informationChapter Trapezoidal Rule of Integration
Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl
More informationChapter 11: Matter-Photon Interactions and Cavity Quantum Electrodynamics
Quu Ocs f Phcs Olccs h Cll Usy Ch : M-Ph Ics Cy Quu lcycs. A S-Clsscl Ach Pcl-l Ics I hs Ch w wll s uu hy f h cs bw ch cls lcc fl. P hl f h u c lcs wll b cssy l ssbl hy. Yu h s Ch 5 h h ss wy uz s fs chs
More informationLuiz Leal Oak Ridge National Laboratory. of Massachusetts Institute. of Technology (MIT)
LzLl OkRdgNlLby LsPsdhNl Egg Dp f h MsshssIs f Thlgy(MIT) Csy f Lz Ll, Ok Rdg Nl Lby. Usd wh pss. NI T Idpd Tsp Eq f Φ(E,,Ωˆ ) Ωˆ. Φ + Σ Φ = dωˆ ' de'σ s (E' E, Ωˆ ' Ω)Φ(E', ',Ωˆ ) + S 4 π 0 Σ Msplsss
More informationADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:
R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí
More informationFactors Success op Ten Critical T the exactly what wonder may you referenced, being questions different the all With success critical ten top the of l
Fr Su p T rl T xl r rr, bg r ll Wh u rl p l Fllg ll r lkg plr plr rl r kg: 1 k r r u v P 2 u l r P 3 ) r rl k 4 k rprl 5 6 k prbl lvg hkg rl 7 lxbl F 8 l S v 9 p rh L 0 1 k r T h r S pbl r u rl bv p p
More informationChapter 2 Linear Mo on
Chper Lner M n .1 Aerge Velcy The erge elcy prcle s dened s The erge elcy depends nly n he nl nd he nl psns he prcle. Ths mens h prcle srs rm pn nd reurn bck he sme pn, s dsplcemen, nd s s erge elcy s
More informationCURVE FITTING LEAST SQUARES METHOD
Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued
More information(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1.
Answers o Een Numbered Problems Chper. () 7 m s, 6 m s (b) 8 5 yr 4.. m ih 6. () 5. m s (b).5 m s (c).5 m s (d) 3.33 m s (e) 8. ().3 min (b) 64 mi..3 h. ().3 s (b) 3 m 4..8 mi wes of he flgpole 6. (b)
More informationWeek 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)
Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he
More informationI I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8
emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h
More informationG8-11 Congruence Rules
G8-11 ogruee Rules If two polgos re ogruet, ou ple the oe o top of the other so tht the th etl. The verties tht th re lled orrespodig verties. The gles tht th re lled orrespodig gles. The sides tht th
More informationAML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending
CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral
More informationONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin
Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch
More informationHow to Make a Zia. (should you ever be inclined to do such a thing)
H Mk Z (hud yu vr b d d uh hg) h Z? Th Z r dgu rb rd Z Pub, Id rrv N Mx, U..A.. Th Z r k fr hr pry d u f h u ymb. Th pp r brh f h rg Pub mmuy. N Mx' dv g h Z u ymb, hh rgd h h Id f Z Pub m. I dg rf hr
More informationINTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
[Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh
More informationi;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s
5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationEnergy Storage Devices
Energy Srage Deces Objece f ecure Descrbe The cnsrucn f an nducr Hw energy s sred n an nducr The elecrcal prperes f an nducr Relanshp beween lage, curren, and nducance; pwer; and energy Equalen nducance
More informationLet'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 information4. Runge-Kutta Formula For Differential Equations
NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul
More informationConvergence tests for the cluster DFT calculations
Covgc ss o h clus DF clculos. Covgc wh spc o bss s. s clculos o bss s covgc hv b po usg h PBE ucol o 7 os gg h-b. A s o h Guss bss ss wh csg s usss hs b us clug h -G -G** - ++G(p). A l sc o. Å h c bw h
More informationMotion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.
Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationTEST-12 TOPIC : SHM and WAVES
Q. Four sprig coec wih ss s show i figure. Fid frequecy of S.H.. TEST- TOPIC : SH d WVES 4 7 (D) These wo coeced i series. So = = Now ll re i prllel so eq = 4 so freq. = 4 4 7 Q. sll ss execue S.H.. bou
More informationMath 153: Lecture Notes For Chapter 1
Mth : Lecture Notes For Chpter Sectio.: Rel Nubers Additio d subtrctios : Se Sigs: Add Eples: = - - = - Diff. Sigs: Subtrct d put the sig of the uber with lrger bsolute vlue Eples: - = - = - Multiplictio
More informationReview of Linear Algebra
PGE 30: Forulto d Soluto Geosstes Egeerg Dr. Blhoff Sprg 0 Revew of Ler Alger Chpter 7 of Nuercl Methods wth MATLAB, Gerld Recktewld Vector s ordered set of rel (or cople) uers rrged s row or colu sclr
More informationCreative Communications Sample
P f L D f h Scd S C Cc S j wk ASH WEDNESDAY L: P 136 G hk h Ld, f h gd, f h df d f. PSALM 136:1 L. I wh Ah Wddy b? Wh b dy fc h g gf f g h gf f Gd w S, J, b S f. Ech dy L, w x dff, cdg h h f h w fc d fc
More informationChapter 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 informationPHY2053 Summer 2012 Exam 2 Solutions N F o f k
HY0 Suer 0 Ea Slutns. he ree-bdy dagra r the blck s N F 7 k F g Usng Newtn s secnd law r the -cnents F a F F cs7 k 0 k F F cs7 (0 N ( Ncs7 N he wrk dne by knetc rctn k r csθ ( N(6 cs80 0 N. Mechancal energy
More informationThe Spring. Consider a spring, which we apply a force F A to either stretch it or compress it
The Spring Consider spring, which we pply force F A to either stretch it or copress it F A - unstretched -F A 0 F A k k is the spring constnt, units of N/, different for different terils, nuber of coils
More informationOptimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek
Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt
More informationSupporting information How to concatenate the local attractors of subnetworks in the HPFP
n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced
More informationA011 REF LANDSCAPE / CIVIL FOR INFO DRAWING NOT FOR CONSTRUCTION ARCHITECTURAL SITE PLAN ARLINGTON PUBLIC SCHOOLS
S D S X JS K D L PUBL SLS LY SL # S S JS DDL SL South ld lebe d rlington, lient Project umber Y B LL J L.. 79 L D Project umber PD D hecked By " 9'- 9 " 9'" 9'- 9 " 9'" 9'" 9'- LDSP / L " 9'- 9 PJ (8.
More informationThe Buck Resonant Converter
EE646 Pwer Elecrnics Chaper 6 ecure Dr. Sam Abdel-Rahman The Buck Resnan Cnverer Replacg he swich by he resnan-ype swich, ba a quasi-resnan PWM buck cnverer can be shwn ha here are fur mdes f pera under
More informationT 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 informationI;;"" I _ t. . - I...AJ_ ~I 11 \_-., I. LIfI.l..(!;O '{. ~- --~--- _.L...,.._ J 5" i. I! I \ 1/ \. L, :,_. RAmE ABSTRACT
5 ;; _L_ 7 9 8 A Ll(;O '{ L _ OFFCAL RETURNS GENERAL ELECTON RAmE 98 9 w ;; (k4(ap 'A ' lee S'T'lTE 5'C TU AS c ; _ l6l>'
More informationPhys101 Lecture 4,5 Dynamics: Newton s Laws of Motion
Phys101 Lecture 4,5 Dynics: ewton s Lws of Motion Key points: ewton s second lw is vector eqution ction nd rection re cting on different objects ree-ody Digrs riction Inclines Ref: 4-1,2,3,4,5,6,7,8,9.
More informationHomework: 5, 9, 19, 25, 31, 34, 39 (p )
Hoework: 5, 9, 19, 5, 31, 34, 39 (p 130-134) 5. A 3.0 kg block is initilly t rest on horizontl surfce. A force of gnitude 6.0 nd erticl force P re then pplied to the block. The coefficients of friction
More information1. Six acceleration vectors are shown for the car whose velocity vector is directed forward. For each acceleration vector describe in words the
Si ccelerio ecors re show for he cr whose eloci ecor is direced forwrd For ech ccelerio ecor describe i words he iseous moio of he cr A ri eers cured horizol secio of rck speed of 00 km/h d slows dow wih
More informationGraphing Review Part 3: Polynomials
Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)
More informationThe Simple Linear Regression Model: Theory
Chapter 3 The mple Lear Regress Mdel: Ther 3. The mdel 3.. The data bservats respse varable eplaatr varable : : Plttg the data.. Fgure 3.: Dsplag the cable data csdered b Che at al (993). There are 79
More informationSAFE HANDS & IIT-ian's PACE EDT-04 (JEE) Solutions
ED- (JEE) Slutins Answer : Optin () ass f the remved part will be / I Answer : Optin () r L m (u csθ) (H) Answer : Optin () P 5 rad/s ms - because f translatin ωr ms - because f rtatin Cnsider a thin shell
More information(800) TOP DIMENSION 8-5/64" Datum point. Adding adjustable pedestal. under "*" mark
() - wwwrev--shelfc TOP NSON NSTTON NSTRUTONS hef s Pry TOOS RQUR: STT SSY T: N R N NTNN: N WT P OT N WP PRTS RY UNT NSTTON OTTO NSON TTN PRTS ST: ST TTNS ST escr s g s le Sfey ddg djsble esl r rk djsble
More informationBC Calculus Review Sheet. converges. Use the integral: L 1
BC Clculus Review Sheet Whe yu see the wrds.. Fid the re f the uuded regi represeted y the itegrl (smetimes f ( ) clled hriztl imprper itegrl).. Fid the re f differet uuded regi uder f() frm (,], where
More information1. Preliminaries and terminology
elemchos c:\euco_er_5\_cm_bcgrou\ll_ogeher 5_coc Prelmres ermology Le egrl s geomercl meg Fg he plr cure s escrbe by he fuco y g(), or by s erse g(y) I I I y f (, y) s ee Fg f, y) b ( f (, g( )) Proeco
More informationas nonrigid Carnot groups
Th Th Th V 5 5 34 356 V V crcc 5 c5 5 Hdr 5 34 356 Vr 34 dh 356 crcc-c 5 Hdr c Vr d Cr r c d Cr r c r c c r c 5 B Hdr Wrhr B Wrhr Vr Ccd b G cr Ccd b cr Abrc G c cr W d rdc r c d Cr hch Abrc r W d Cr rdc
More informationAxe Wo. Blood Circle Just like with using knives, when we are using an axe we have to keep an area around us clear. Axe Safety Check list:
k Ax W ls i ms im s i sfly. f w is T x, ls lk g sci Bld Cicl Js lik wi sig kivs, w w sig x w v k d s cl. Wi xs; cl (bld cicl) is s lg f y m ls lg f x ll d s d bv s. T c b bcs, wigs, scs, c. isid y bld
More informationPhysics 232 Exam I Feb. 14, 2005
Phsics I Fe., 5 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio wih gul eloci o dissec. gie is i ie i is oud o e 8 c o he igh o he equiliiu posiio d oig o he le wih eloci o.5 sec..
More informationERASMUS Application form for entry Please use BLOCK CAPITAL letters.
ERSMUS ppl fr fr 2018-19 ery Plee e BLOCK CPITL leer. Plee re ll he fr he he re reflly efre pleg h fr. Frher fr he ppl pre vlle hp://f.le..k/rre-e/erve/er/fr-fr-g-e I el 1. He 2. H epre LSE 3. e f prgre
More informationCorrupt the signal waveform Degrade the performance of communication systems
Nie Nie : rd luui pwer i ye Crrup he igl wver Degrde he perre uii ye ure Nie: rd wderig ree eler i reir herl ie, rd lw hrge i eidur jui h ie, e. ddiive ie Zer-e Whie Gui-diribued Nie, pwer perl deiy /
More informationSummer MA Lesson 4 Section P.3. such that =, denoted by =, is the principal square root
Suer MA 00 Lesso Sectio P. I Squre Roots If b, the b is squre root of. If is oegtive rel uber, the oegtive uber b b b such tht, deoted by, is the pricipl squre root of. rdicl sig rdicl expressio rdicd
More informationName: Period: Date: 2.1 Rules of Exponents
SM NOTES Ne: Period: Dte:.1 Rules of Epoets The followig properties re true for ll rel ubers d b d ll itegers d, provided tht o deoitors re 0 d tht 0 0 is ot cosidered. 1 s epoet: 1 1 1 = e.g.) 7 = 7,
More information35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3
- - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f
More informationParts 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 informationReview: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681
Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve
More informationSOME USEFUL MATHEMATICS
SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since
More informationand SUMMIT RECORD SUBOMT,N.'j., TUESDAY AFTERNOON, FEBRUARY II, 1930
PGE EG E ERLD D RECRD k P [ ~ }5 C k C [ x R FRYFR YER 5 2 C x x $ x C C C C) C x L C C C k ) X EG { EG )) 5 7 x 2) x x ) = x C Ck L R L C 5 k 3) ) ) ) 27 7 5 D 5 C = 27 E 5658 2) 53 E $5 ) LY 22 78 2
More informationOH 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 informationNonverbal Cues of Dominance Laura van Hooff, Jasmijn Verspaandonk, Nicole van den Reek, Guusje Nagels & Jalou Lemmens
Nvbl C f Dm L v Hff, Jmj Vdk, Nl v d Rk, Gj Nl & Jl Lmm Ab Th m f h d w v h vbl x f dm b hm d whh h w dff bw l d dm T h, h l bhv f f h TV hw Tm Ild w ld Th x vbl bhvl d h h m dm w d, h, l x, fld m, hd
More informationEmigration The movement of individuals out of an area The population decreases
Nm Clss D C 5 Puls S 5 1 Hw Puls Gw (s 119 123) Ts s fs ss us sb ul. I ls sbs fs ff ul sz xls w xl w ls w. Css f Puls ( 119) 1. W fu m ss f ul?. G sbu. Gw b. Ds. A suu 2. W s ul s sbu? I s b b ul. 3. A
More informationDATA FITTING. Intensive Computation 2013/2014. Annalisa Massini
DATA FITTING Itesve Computto 3/4 Als Mss Dt fttg Dt fttg cocers the problem of fttg dscrete dt to obt termedte estmtes. There re two geerl pproches two curve fttg: Iterpolto Dt s ver precse. The strteg
More informationPhysics 102. Final Examination. Spring Semester ( ) P M. Fundamental constants. n = 10P
ε µ0 N mp M G T Kuwit University hysics Deprtment hysics 0 Finl Exmintin Spring Semester (0-0) My, 0 Time: 5:00 M :00 M Nme.Student N Sectin N nstructrs: Drs. bdelkrim, frsheh, Dvis, Kkj, Ljk, Mrfi, ichler,
More information