CONTRIBUTIONS TO THE STUDY OF THE PASSING THROUGH THE RESONANCE OF THE LINEAR SYSTEMS HAVING A FINITE NUMBER OF DEGREES OF FREEDOM
|
|
- Loreen Copeland
- 6 years ago
- Views:
Transcription
1 U.P.B.. Bull. eres D Vol. 69 No. 007 IN CONTRIBUTION TO THE TUDY OF THE PING THROUGH THE REONNCE OF THE LINER YTE HVING FINITE NUBER OF DEGREE OF FREEDO C- ION Ele Elvr ION G. C. ION Î esă lurre se v su roble regulu rzoru î oţle leg e vrţe lră freveţe forţelor erurbore uu sse ulsă. Euţle fereţle re esru şre sseulu els su vor f reuse l euţ e orul o. O sfel e reuere se oe relz r ouă our e oserre forţelor e rezseţă oresuzăore oezelor lu Fogo ş le lu E.. oro. e v ră ă î zul robleelor lre ulzre oulu e rezolvre lu oro ese ă eâ ulzre oulu e rerezere forţelor e frere forţe e vâsoze forţe e su roorţole u vez e eforre. Te usey ssg of ul-ss syse uer e lw of ler vro of surbe fores frequey wll be sue s er. Te fferel equos w esrbe e oo of e sue els syse wll be reue o e qur equos. u reuo y be eve by wo wys of oserg e resse fores orresog o e Fogo s E..oro s yoess. I e se of ler robles wll be sow e lo of oro s solvg wy s ore e e rereseo wy of fro fores s vsous fores w re roorol o e eforo see. Keywors: bsoro oeffe surbg oe vsous g resoe.. Irouo Te usey ssg of ul-ss syse wll be sue uer e lw of ler vro of surbe fores frequey. Te fferel equos w esrbe e oo of e sue els syse wll be reue o e qur equos lyze e er []. u reuo y be eve by wo wys of oserg e resse fores orresog o e Fogo s E..oro s yoess []. I e se of ler erls wll be sow e lo of oro s solvg wy s ore e e rereseo Prof. De. of es; Uversy Pole of Bures RONI Reer Dere G.D.G.I Uversy Pole of Bures RONI ss. De. of es; Uversy Pole of Bures RONI
2 0 C- Io Ele Elvr Io G. C. Io wy of fro fores s vsous fores w re roorol o e eforo see. Ts osero s exle o oly by es of goo orresoee of oro s yoess w exerel bu lso by es of reue lulo volue.. Fogo s yoeses eo Te geerl for of e fferel equos of e -freeo egrees syses osllos s ( q b q q ) Q ( ) () were b re os vlues wle q ( ) Q ( ) re e oores geerlze fores resevely. By eg e l oos: ere resuls fro () e syboll for x q ( ) ; F Q ( ) ( b ) x F olvg e syse () oe obs: x () F. ( ) () (4) were s e eer of e syse wle re e oleery eers orresog o e olu elees. s oly olex roos w egve rel r: If be broe u o sle fros e for ( ) ( ) (5)
3 Corbuos o e suy of e ss roug e resoe of e ler syses were: 4 γ δ ω ; γ ; δ ; [ ] If e relo (7) s roue ω. (6) ( γ δ ) F (7) by es of e relo (6) e relo (4) beoes x ω (8) or x Z (9) were every er be osere s ge of solvg e qur fferel equos ζ () ζ () ω ζ () () (0) s Z ζ ( ) ; ( ). () If e l oos re ull e equos (0) beoe ( τ ) ζ () ( τ ) e s ( τ ) τ () 0
4 C- Io Ele Elvr Io G. C. Io wle () e q 0 s τ τ τ τ. () If e syse s oere by geerlze fores vryg org o e lw () ex Q Q o (4) e egrl () s reue o robbly egrls w e olex rgue () 4 V V o u u o o o o e e W V e W u W V W u Q q π (5) were u V.. oro s eo Te fferel equos syse s esly obe fro e fore osllo equos () gorg e resse fores roug se of e E elsy oulus e olex oulus e for E ± π were Ψ s eergy bsoro oeffe. Tus s obe () Q q q ± π (6) or e syboll for F x ± π. (7)
5 Corbuos o e suy of e ss roug e resoe of e ler syses Ule e revous se e eer (s) of s syse s rel roos were ± ±... ±. (8) ± π Tus e lulo of lo of roos slfes. For e vlue wo vlues orreso. Fro (8) oe obe Reovg π π w s o erl eg oserg ± ± oe obe fro (7) π 4π were K ±. π u x ( ) e e roos equo 0 o sle fros wll be ( ) ( ) F K (9) re ± ±... ± s breg γ δ (0) w γ ; δ. ( ) ( ) e () s eve fuo ere resuls :
6 4 C- Io Ele Elvr Io G. C. Io ( ) ( ) γ 0 δ. ( ) Furer we oe δ ( ) F. () If (0) s roue o (9) ere resuls x () K or x Z ± π. () Fro () oe obs: ζ () ± ζ () (). (4) π Te fl soluo s q were (6) ws roue 0 () ( τ ) e ( τ ) 4π s ( τ ) ( ) δ ( ) F. ( ) τ (5) (6) I e se of e wo eos e slry bewee e soluos (6) soluos () s oe.
7 Corbuos o e suy of e ss roug e resoe of e ler syses 5 4. lo e se of e ssg roug e resoe of ree ss syse erfors ws osllos. If e se of e vsous g s osere e fferel equos syse wll be 0 0 b b b b (7) were er oes of e weels; elsy oeffe of e sf seor () surbg oe g o e ss ; b g oeffe e seor; roo gle (fgure ). Fg.. If we eoe ; fer severl lulos e syboll for beoes:. (8) Tere wll be roue l ull oos e oos
8 C- Io Ele Elvr Io G. C. Io 6. ; ; ; ; ; ; b b (9) ssoe olex roos of e equo 0 gve by e relos (5). Furer e oore s lule; us soluo (8) s e for (0) were ;. (0b) wle re ssoe w. Te exresso () () ex 0 ; () s roue o (0) vg e ew vrbles y x u y x v oe obe () [ ] ex 0 u W v W u W v W π.() Te vrbles x y x y re eere by es of e relos y x y x ξ λ ξ λ ξ λ ξ λ. ()
9 Corbuos o e suy of e ss roug e resoe of e ler syses 7 5. Nuerl lo Te lulo of e syse o-sey roess s erfore vg e uerl 9 6Ns 96Ns 9Ns b 4 7Ns b 9 6Ns N N 749s. Te followg equo s obe for eerg e roos (b) Te relos (5) re le oe obs 448 s 080 s 66 s. () 908 s λ Te exressos of e oeffes gve by (0b) re: Te y oeffe λ wll be eere usg e relo () ffere vlues of e ξ s were s 0 ( ). (e) I bles e W(Z) robbly egrls vlues re gve for ξ. Tble W u W ( v ) W ( u ) W ( v ) ().
10 8 C- Io Ele Elvr Io G. C. Io 8 Tble W u ξ Fg.. By vryg ξ fro o.046 e syse s e re of e seo resoe ( ξ s ofe orgly fro.8 o.5705). Durg e e fluee of e fuos W ( u ) W ( v ) W ( v ) s uor ey ve szes of egrees W ( u ) W ( v ) ( ) W ( v ) 0007 ( ). Beses fro e bles s well ere resuls e re (f) of e frs resoe W ( u ) s e os or vlue wle e re of e seo resoe s e gue of W ( u ) w s e os or vlue. I s wy s ofre e ess ofe use rl lulos e oe we e resoe s er url frequey e fors of e o-resoe vbros (w vlues of e url frequey fferg lo fro e resoe frequey) ve sll fluee o e gue of e lue of e syse resoe vbros. Te rs of e y oeffe λ we ssg roug e frs e seo resoe (fgure ) sow e exsee of e se rerss s se of e ssg roug e resoe of e ler syse vg oe freeo egree: overlyg reug e ges lue sroes euo se e. By oserg e fros org o oro e syse of equos wll ve e for ± ( ) 0 π ± ( ) ± ( ) ( ) (4) π π ± ( ) 0 π
11 Corbuos o e suy of e ss roug e resoe of e ler syses 9 or wll be e sybol for uer ull l oos (fer roug ) K K (5) were K π K ±. olvg e syse (5) w rese o oe obe K (6) or C C B B K (7) were ± re e roos of e equo (s) 0 wle C C B B re gve by B B C C. (8) Before obg e fl for (7) s wre uer e for K C K B or (9) were
12 40 C- Io Ele Elvr Io G. C. Io B; C; re ouge w (40) ( ) π Te resuls (0) (9) re e se. Tus e solvg wy of (0) wll be e se f we roue e oeffes (40) o (0). Ule e revous se se of four-ower equo ere s obe bqur equo 4 ( ) ( ) s 0. (g) s eve fuo beuse e eer of I e geerl se e equo ( ) 0 be wo-es reue. s oe bove ere s oe ore rers gve by e f e roos ± (...) re rel (R) o ssoe olex. ll ese slfy very u e lulos. Te bsoro oeffe of e vbros ower s ose usg e oo of oeffes oee 448s. Tere re fou e roos π s s e π Te oeffes (40) wll be () For e sue se fgure s sow oly urve () for ssg roug e seo resoe. s resul of oosg e oeffe e ssg urves roug e frs resoe re rlly overlg for bo ses. 6. Colusos s we exee e xu of e urve () s ger e oe of e urve (). Te exlo s e fro fores osere s suy o o ee o e vbro frequey. Tey ve ree sller e fores w re roorol w e soro see w vbros w ger frequey. I e se e e xu of e y oeffe of e frs resoe s ger e wo xu of e seo resoe. T es e se of e os lue 0 of e surbg oe. We 0 ees o frequey e e relo bewee e xu vlue of e oeffe λ s ge y resul e xu lue of vbros e seo resoe s ger e frs oe. Tus for exle
13 Corbuos o e suy of e ss roug e resoe of e ler syses 4 w () 0 ex w oer slr oos e xu oeffes wll be λ 4 for e frs resoe λ 9 5 for e seo oe. R E F E R E N C E []. E.G. Golosoov.P. Flov Nesorve oleb ees syse Kev 996. []. C. Io E.E. Io see Bezug uf e rse Drezle ulere Lger Welle Bule U.P.B. Buures 99. []. C. Io E.E. Io Ds su er rse Gerswgee fur Wele er se Uberrguge YRO Buures 99.
Chapter 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 informationObservations on the transcendental Equation
IOSR Jourl o Mecs IOSR-JM e-issn: 78-78-ISSN: 9-7 Volue 7 Issue Jul. - u. -7 www.osrjourls.or Oservos o e rscedel Euo M..Gol S.Vds T.R.Us R Dere o Mecs Sr Idr Gd Collee Trucrll- src: Te rscedel euo w ve
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 informationTEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL
Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s
More information4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula
NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul
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 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 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 informationX-Ray Notes, Part III
oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel
More informationSIMULATING THE SOLUTION OF THE DISTRIBUTED ORDER FRACTIONAL DIFFERENTIAL EQUATIONS BY BLOCK-PULSE WAVELETS
U.P.. S. ull., Seres A, Vol. 79, ss., 7 SSN 3-77 SMULANG HE SOLUON OF HE SRUE ORER FRACONAL FFERENAL EQUAONS Y LOCK-PULSE WAVELES M. MASHOOF, A. H. REFAH SHEKHAN s pper, we roue eos se o operol rx o rol
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 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 informationUseful R-norm Information Measure and its Properties
IOS Jorl of Eletros Coto Eeer (IOS-JECE) e-issn: 7-34- ISSN: 7-735Vole Isse (No - De 03) PP 5-57 DS oo Keert Uyy DKSr 3 Jyee Uersty of Eeer Teoloy AB o or 4736 Dstt G MP (I) Astrt : I te reset oto ew sefl
More informationDifferential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions
Ierol Reserc Jorl o Aled d Bsc Sceces 3 Avlle ole www.rjs.co ISSN 5-838X / Vol 4 : 997-33 Scece Exlorer Plcos Derel Eqo o Eevles or Sr Lovlle Bodry Vle Prole w Ne Bodry Codos Al Kll Gold Dere o Mecs Azr
More informationP 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 informationON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID
wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we
More informationDual-Matrix Approach for Solving the Transportation Problem
Itertol Jourl of Mthets Tres Tehology- Volue Nuer Jue 05 ul-mtr Aroh for Solvg the Trsortto Prole Vy Shr r Chr Bhus Shr ertet of Mthets, BBM College r, Jeh, (MU), INIA E-Prl, SS College Jeh, (MU), INIA
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 informationAfrican Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS
Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol
More informationMathematically, integration is just finding the area under a curve from one point to another. It is b
Numerl Metods or Eg [ENGR 9] [Lyes KADEM 7] CHAPTER VI Numerl Itegrto Tops - Rem sums - Trpezodl rule - Smpso s rule - Rrdso s etrpolto - Guss qudrture rule Mtemtlly, tegrto s just dg te re uder urve rom
More informationThree-Phase Voltage-Source Converters
CURET Fll Three-Phe olge-soure Coerer Oule B Oero & Alo Pule-Wh oulo AC-Se Curre Corol DC-k olge Regulo Su C 85, ju@r.eu Three-Phe SC Three-Phe SC Cru / / S S S S S S A erle erfe ewee DC Three-Phe AC le
More informationTHE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.
E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R
More informationRepresentation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients
Repor Nuber: KSU MATH 3 E R 6 Represeo o Souos o Ler Hoogeeous puo Fro ere Equos w ouous Vrbe oees Su-Ae PAK Mog-H KM d Hog-o O * Fu o Mes K Sug Uvers Pogg P R Kore * orrespodg uor e: oogo@ooo Absr We
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 informationCalculation of Effective Resonance Integrals
Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro
More informationASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES
ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl
More informationInstruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A
Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct
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 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 information( ) ( ) ( ) 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 informationSolution 2. Since. 1. Sums and Products
. Sus Prous I h, ver oe we hve soe eresg uers whh we woul le o her su or prou. elow we wll loo ew ehos or og hese operos. (Here we wll lso oser egrls whh we vew s sug uoul uers.) Prg Meho. Rell o S we
More informationQuantum Chemistry. Lecture 1. Disposition. Sources. Matti Hotokka Department of Physical Chemistry Åbo Akademi University
Lere Q hesry M Hookk epre of Physl hesry Åbo Akde Uversy oes Irodo o hs orse The HrreeFok eqos sposo Sores ) The Hükel ehod ) The HrreeFok eqos ) Bss ses d oher prles 4) Wh be lled 5) orrelo 6) The FT
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 informationBayesian 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 informationInternational Journal of Pure and Applied Sciences and Technology
I J Pure Al S Teol, 04, 64-77 Ierol Jourl o Pure d Aled Sees d Teoloy ISSN 9-607 Avlle ole wwwjos Reser Per O New Clss o rmo Uvle Fuos Deed y Fox-r Geerled yereomer Fuo Adul Rm S Jum d Zrr,* Derme o Mems,
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 information176 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 informationA Dynamical Quasi-Boolean System
ULETNUL Uestăţ Petol Gze Ploeşt Vol LX No / - 9 Se Mtetă - otă - Fză l Qs-oole Sste Gel Mose Petole-Gs Uest o Ploest ots etet est 39 Ploest 68 o el: ose@-loesto stt Ths e oes the esto o ol theoetl oet:
More informationAgenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2
Internal Innovation @ C is c o 2 0 0 6 C i s c o S y s t e m s, I n c. A l l r i g h t s r e s e r v e d. C i s c o C o n f i d e n t i a l 1 Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork
More informationExercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2.
Chter Chter Syste of Rel uers Tertg Del frto: The del frto whh Gve fte uers of dgts ts del rt s lled tertg del frto. Reurrg ( o-tertg )Del frto: The del frto (No tertg) whh soe dgts re reeted g d g the
More informationINTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET) AN APPLIED TWO-DIMENSIONAL B-SPLINE MODEL FOR INTERPOLATION OF DATA
INTERNTINL JURNL F DVNCED RESERCH IN ENGINEERING ND TECHNLGY IJRET Ierol Jorl o dved Reer Egeerg d Teolog IJRET ISSN 97 8Pr ISSN 97 99le Vole Ner Jl-Deeer IEME ISSN 97-8 Pr ISSN 97-99 le Vole Ie Jl-Deeer.
More informationIntegral Form of Popoviciu Inequality for Convex Function
Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for
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 informationThe automatic optimal control process for the operation changeover of heat exchangers
Te aua pal rl pre fr e pera agever f ea exager K. L. Lu B. eeyer 4 & M. L very f e Feeral Are Fre Haburg Geray very f Saga fr See & Telgy P. R. Ca Tg J very P. R. Ca 4 GKSS Reear Cere Geray Abra Crl prble
More informationBEST PATTERN OF MULTIPLE LINEAR REGRESSION
ERI COADA GERMAY GEERAL M.R. SEFAIK AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMAIA SLOVAK REPUBLIC IERAIOAL COFERECE of SCIEIFIC PAPER AFASES Brov 6-8 M BES PAER OF MULIPLE LIEAR REGRESSIO Corel GABER PEROLEUM-GAS
More informationChapter 1 Fundamentals in Elasticity
Fs s ν . Po Dfo ν Ps s - Do o - M os - o oos : o o w Uows o: - ss - - Ds W ows s o qos o so s os. w ows o fo s o oos s os of o os. W w o s s ss: - ss - - Ds - Ross o ows s s q s-s os s-sss os .. Do o ..
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 informationNEIGHBOURHOODS OF A CERTAIN SUBCLASS OF STARLIKE FUNCTIONS. P. Thirupathi Reddy. E. mail:
NEIGHOURHOOD OF CERTIN UCL OF TRLIKE FUNCTION P Tirupi Reddy E mil: reddyp@yooom sr: Te im o is pper is o rodue e lss ( sulss o ( sisyig e odio wi is ( ) p < 0< E We sudy eigouroods o is lss d lso prove
More informationINTERPOLATION(2) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek
ELM Numerl Alss Dr Murrem Merme INTEROLATION ELM Numerl Alss Some of te otets re dopted from Luree V. Fusett Appled Numerl Alss usg MATLAB. rete Hll I. 999 ELM Numerl Alss Dr Murrem Merme Tod s leture
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cpter 7. Smpso s / Rule o Itegrto Ater redg ts pter, you sould e le to. derve te ormul or Smpso s / rule o tegrto,. use Smpso s / rule t to solve tegrls,. develop te ormul or multple-segmet Smpso s / rule
More informationThe z-transform. LTI System description. Prof. Siripong Potisuk
The -Trsform Prof. Srpog Potsuk LTI System descrpto Prevous bss fucto: ut smple or DT mpulse The put sequece s represeted s ler combto of shfted DT mpulses. The respose s gve by covoluto sum of the put
More informationSensitivity Analysis of the Accident Rate of a Plant by the Generalized Perturbation Theory
INERNAIONAL JOURNAL OF AHEAICAL ODEL AND EHOD IN APPLIED CIENCE Volue 6 esvy Alyss of e Accde Re of Pl by e Geerlzed Perurbo eory E F L D G exer P F Fruuoso e elo F C lv d A C Alv Absrc we dscuss e lco
More informationNield- Kuznetsov Functions of the First- and Second Kind
IOSR Jourl of led Phscs IOSR-JP e-issn: 78-486.Volue 8 Issue Ver. III M. - Ju. 6 PP 47-56.osrourls.or S.M. lzhr * I. Gdour M.H. Hd + De. of Mhecs d Sscs Uvers of Ne rusc P.O. ox 55 S Joh Ne rusc CND EL
More informationScience & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM
GEERAL BIRH-EAH ROCESS A SOME OF HEIR EM EXEAIO- MAXIMAIO) ALGORIHM Il Hl, Lz Ker, Ylldr Seer Se ery o eoo,, eoo Mcedo l.hl@e.ed.; lz.er@e.ed.; ylldr_@hol.co ABSRAC Brh d deh roce coo-e Mrco ch, h odel
More informationjfljjffijffgy^^^ ^--"/.' -'V^^^V'^NcxN^*-'..( -"->"'-;':'-'}^l 7-'- -:-' ""''-' :-- '-''. '-'"- ^ " -.-V-'.'," V'*-irV^'^^amS.
x } < 5 RY REOR RY OOBER 0 930 EER ORE PBE EEEY RY ERE Z R E 840 EG PGE O XXER O 28 R 05 OOG E ERE OOR GQE EOEE Y O RO Y OY E OEY PRE )Q» OY OG OORRO EROO OORRO G 4 B E B E?& O E O EE OY R z B 4 Y R PY
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 informationUBI External Keyboard Technical Manual
UI Eer eyor ei u EER IORIO ppiio o Ue ouiio e Eer eyor rie uer 12911 i R 232 eyor iee or oeio o e re o UI Eyoer prier Eyoer 11 Eyoer 21 II Eyoer 41 Eyoer 1 Eyoer 1 e eyor o e ue or oer UI prier e e up
More informationHandout on. Crystal Symmetries and Energy Bands
dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h
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 informationSoftware Process Models there are many process model s in th e li t e ra t u re, s om e a r e prescriptions and some are descriptions you need to mode
Unit 2 : Software Process O b j ec t i ve This unit introduces software systems engineering through a discussion of software processes and their principal characteristics. In order to achieve the desireable
More informationP 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 informationSome Unbiased Classes of Estimators of Finite Population Mean
Itertol Jourl O Mtemtcs Ad ttstcs Iveto (IJMI) E-IN: 3 4767 P-IN: 3-4759 Www.Ijms.Org Volume Issue 09 etember. 04 PP-3-37 ome Ubsed lsses o Estmtors o Fte Poulto Me Prvee Kumr Msr d s Bus. Dertmet o ttstcs,
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 informationA 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 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 informationl [ L&U DOK. SENTER Denne rapport tilhører Returneres etter bruk Dokument: Arkiv: Arkivstykke/Ref: ARKAS OO.S Merknad: CP0205V Plassering:
I Denne rapport thører L&U DOK. SENTER Returneres etter bruk UTLÅN FRA FJERNARKIVET. UTLÅN ID: 02-0752 MASKINVN 4, FORUS - ADRESSE ST-MA LANETAKER ER ANSVARLIG FOR RETUR AV DETTE DOKUMENTET. VENNLIGST
More informationCalculating Exact Transitive Closure for a Normalized Affine Integer Tuple Relation
Clulg E Trsve Closure for Normlzed Affe Ieger Tuple elo W Bele*, T Klme*, KTrfuov** *Fuly of Compuer See, Tehl Uversy of Szze, lme@wpspl, bele@wpspl ** INIA Sly d Prs-Sud Uversy, ordrfuov@rfr Absr: A pproh
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationNonlocal Boundary Value Problem for Nonlinear Impulsive q k Symmetric Integrodifference Equation
OSR ol o Mec OSR-M e-ssn: 78-578 -SSN: 9-765X Vole e Ve M - A 7 PP 95- wwwojolog Nolocl Bo Vle Poble o Nole lve - Sec egoeece Eo Log Ceg Ceg Ho * Yeg He ee o Mec Yb Uve Yj PR C Abc: A oe ole lve egoeece
More informationI 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 informationNumerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation
ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or
More informationTHIS 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 informationVDS CURTAIN WALL ELEVATION
VS URT W EEVT 1 2 4. 5 10 5 4 SRE R S 8 9 9 8. 2 3 uburn, W 98001 US X: 253-333 - 5166 VS URT W SYSTEM EEVT 1 / 17 1 6 7 2 4. 5 3 T RER ET uburn, W 98001 US X: 253-333 - 5166 VS URT W W EEVT 2 / 17 VS
More informationReinforcement Learning
Reiforceme Corol lerig Corol polices h choose opiml cios Q lerig Covergece Chper 13 Reiforceme 1 Corol Cosider lerig o choose cios, e.g., Robo lerig o dock o bery chrger o choose cios o opimize fcory oupu
More informationDerivation of the Metal-Semiconductor Junction Current
.4.4. Derivio of e Mel-Seiouor uio Curre.4.4.1.Derivio of e iffuio urre We r fro e epreio for e ol urre e iegre i over e wi of e epleio regio: q( µ + D (.4.11 wi be rewrie b uig -/ uliplig bo ie of e equio
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 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 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 informationExtension of Hardy Inequality on Weighted Sequence Spaces
Jourl of Scieces Islic Reublic of Ir 20(2): 59-66 (2009) Uiversiy of ehr ISS 06-04 h://sciecesucir Eesio of Hrdy Iequliy o Weighed Sequece Sces R Lshriour d D Foroui 2 Dere of Mheics Fculy of Mheics Uiversiy
More informationA METHOD FOR THE RAPID NUMERICAL CALCULATION OF PARTIAL SUMS OF GENERALIZED HARMONICAL SERIES WITH PRESCRIBED ACCURACY
UPB c Bull, eres D, Vol 8, No, 00 A METHOD FOR THE RAPD NUMERAL ALULATON OF PARTAL UM OF GENERALZED HARMONAL ERE WTH PRERBED AURAY BERBENTE e roue o etodă ouă etru clculul rd l suelor rţle le serlor roce
More informationCopyright Birkin Cars (Pty) Ltd
e f u:- 5: K360 98AA RADIATOR 5: K360 053AA SEAT MOUNTING GROU 5:3 K360 06A WIER MOTOR GROU 5:4 K360 0A HANDRAKE 5:5 K360 0A ENTRE ONSOE 5:6 K360 05AA RO AGE 5:7 K360 48AA SARE WHEE RADE 5:8 K360 78AA
More informationQuantum Harmonic Oscillator
Quu roc Oscllor Quu roc Oscllor 6 Quu Mccs Prof. Y. F. C Quu roc Oscllor Quu roc Oscllor D S..O.:lr rsorg forc F k, k s forc cos & prbolc pol. V k A prcl oscllg roc pol roc pol s u po of sbly sys 6 Quu
More informationChapter 1 Fundamentals in Elasticity
Fs s ν . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos
More informationSuggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)
per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.
More informationBINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =
wwwskshieduciocom BINOMIAL HEOREM OBJEIVE PROBLEMS he coefficies of, i e esio of k e equl he k /7 If e coefficie of, d ems i e i AP, e e vlue of is he coefficies i e,, 7 ems i e esio of e i AP he 7 7 em
More informationLOWELL/ JOURNAL. crew of the schooner Reuben Doud, swept by the West India hurricane I Capt William Lennon alone on the
LELL/ UL V 9 X 9 LELL E UU 3 893 L E UY V E L x Y VEEL L E Y 5 E E X 6 UV 5 Y 6 x E 8U U L L 5 U 9 L Q V z z EE UY V E L E Y V 9 L ) U x E Y 6 V L U x z x Y E U 6 x z L V 8 ( EVY LL Y 8 L L L < 9 & L LLE
More informationCalculation of fields of magnetic deflection systems with FEM using a vector potential approach - Part II: time-dependent fields
Avlle ole www.seede.o Pyss Poed (8) 57 64 www.elseve.o/loe/oed www.elseve.o/loe/xxx Poeedgs of e eve Ieol Cofeee o Cged Ple Os Clulo of felds of ge defleo syses w M usg veo oel o - P II: e-deede felds.
More informationPythagorean Theorem and Trigonometry
Ptgoren Teorem nd Trigonometr Te Ptgoren Teorem is nient, well-known, nd importnt. It s lrge numer of different proofs, inluding one disovered merin President Jmes. Grfield. Te we site ttp://www.ut-te-knot.org/ptgors/inde.stml
More informationHow delay equations arise in Engineering? Gábor Stépán Department of Applied Mechanics Budapest University of Technology and Economics
How y quos rs Egrg? Gábor Sépá Dprm of App Ms Bups Ursy of Toogy Eooms Cos Aswr: Dy quos rs Egrg by o of bos by formo sysm of oro - Lr sby bfuros summry - M oo bros - Smmyg ws of rus moorys - Bg um robo
More informationJ = 1 J = 1 0 J J =1 J = Bout. Bin (1) Ey = 4E0 cos(kz (2) (2) (3) (4) (5) (3) cos(kz (1) ωt +pπ/2) (2) (6) (4) (3) iωt (3) (5) ωt = π E(1) E = [E e
) ) Cov&o for rg h of olr&o for gog o&v r&o: - Look wv rog&g owr ou (look r&o). - F r wh o&o of fil vor. - I h CCWLHCP CWRHCP - u &l & hv oo g, h lr- fil vor r ou rgh- h orkrw for RHCP! 3) For h followg
More informationOn Absolute Indexed Riesz Summability of Orthogonal Series
Ieriol Jourl of Couiol d Alied Mheics. ISSN 89-4966 Volue 3 Nuer (8). 55-6 eserch Idi Pulicios h:www.riulicio.co O Asolue Ideed iesz Suiliy of Orhogol Series L. D. Je S. K. Piry *. K. Ji 3 d. Sl 4 eserch
More informationC o r p o r a t e l i f e i n A n c i e n t I n d i a e x p r e s s e d i t s e l f
C H A P T E R I G E N E S I S A N D GROWTH OF G U IL D S C o r p o r a t e l i f e i n A n c i e n t I n d i a e x p r e s s e d i t s e l f i n a v a r i e t y o f f o r m s - s o c i a l, r e l i g i
More informationSAN JOSE CITY COLLEGE PHYSICAL EDUCATION BUILDING AND RENOVATED LAB BUILDING SYMBOL LIST & GENERAL NOTES - MECHANICAL
S SRUUR OR OORO SU sketch SYO SRPO OO OU O SUPPOR YP SUPPOR O UR SOS OVR SOS (xwx) X W (S) RR RWS U- R R OR ROO OR P S SPR SO S OS OW "Wx00"x0" 000.0, 8/7.0 Z U- R R UPPR ROO S S S SPR SO S OS OW 0"Wx0"x90"
More informationIsotropic Non-Heisenberg Magnet for Spin S=1
Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue
More informationHybrid Fuzzy Convolution Model Based Predictor Corrector Controller
Hbrd Fzz Covolo Model Bed Predor Correor Coroller Jáo ABOYI Árád BÓDIZS Lo AGY Fere SZEIFERT Dere of Chel Eeer Cbere Uver of Vezré P.O.Bo 58 Vezré H-80 HUGARY E-l: bo@b.ve.h Abr. Th er ree ew fzz odel
More information_ 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 informationChapter 1 Fundamentals in Elasticity
Fs s . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o B o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos
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 informationF 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 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 information