1. Mathematical tools which make your life much simpler 1.1. Useful approximation formula using a natural logarithm

Size: px
Start display at page:

Download "1. Mathematical tools which make your life much simpler 1.1. Useful approximation formula using a natural logarithm"

Transcription

1 . Mhmicl ools which mk you lif much simpl.. Usful ppoimio fomul usig ul logihm I his chp, I ps svl mhmicl ools, which qui usful i dlig wih im-sis d. A im-sis is squc of vibls smpd by im. As mpl of ul l GD, vibl of l GD is smpd by 200, 20, 202, d so o. Fo quly l GD, i is smpd by sy, Juy-Mch, Apil-Ju, July-Spmb, d Ocob-Dcmb i 206. A gl pssio of im-sis vibl is, which is smpd by im. Fis of ll, I would lik o pick up o usful ppoimio fomul: If is clos ough o zo, h l( + ). A oio l is ul logihm, o logihm whos bs is Npi s cos. Npi s cos is iiol umb, d is of dod by ; = A ul logihm is h ivs fucio of poil fucio y = ; hus, i is dfid s = l y. L us us sciific clculo o compu l( ) ( ) l l ( ) l l ( ) l l ( ) l l l l fo svl vlus of. As h bov compuio dmoss, if h bsolu vlu of is lss h 0., h h ppoimio woks qui wll. Th umb you s i mcocoomic sisics, icludig h ul gowh of l GD d h ul of is

2 2 s, is of o-digi pcg. As you s l, h is why h ppoimio fomul l( + ) is qui usful. Bu, you my b sill doubful of how h ppoimio woks wihou sig is igoous poof. Fo his pupos, w hv o c bck o how Npi s cos is dfid. H is dfiiio of Npi s cos. lim + = Accodig o h bov dfiiio, o piod 00% u is dividd io sub-piods ( ), d compu compoud goss u fo o piod wh is lg ough. Th is Npi s cos! L us follow h sm pocdu fo cs wh o piod u is 00% isd of 00%; h is, lim +. Dfiig m s, w hv h followig gm: m m lim + = lim + = lim + = m m m m Wh sub-piod u is wih lg, cospods o compoud goss u fo o piod. O h oh hd, simpl goss u fo o piod is jus qul o + = +. W hv ow do ll h ppio fo povig l + if is clos o zo. W fis ppoim Th, i lds o:! + = 2! = = + = 2 oud zo by Tylo sis:! = + +. = 2 Wh is ppochig zo, covgs o o. Cosquly, + if is clos ough o zo. Th, kig ul logihms fo boh sids, w hv h ppoimio fomul: l = l ( + )

3 3 l GD Figu -: D o ul logihmic vicl is l 500 l 400 Slop = (l 500 l 400) /( ) y... Empl : Gowh ppoimio Now h poof fo h ppoimio fomul is compld, i is im o ploi i. L us bgi wih simpl pplicio. A gowh of X o X + c b ppoimd by l X+ l X if is gowh is clos ough o zo. A poof fo his ppoimio is qui simpl. X X X X X l X+ l X = l = l + X X X Th bov ppoimio hs ic gomic ipio. Suppos h l GD gw fom 400 uis i 200 o 500 uis i 205. Th ul gowh of l X X GD is compud by = ; h is, i gw by 4.56% p y. L us 400 k ul logihm fo boh sids of h compuio. Th lf hd sid is l = ( l 500 l 400) = , d h igh hd sid is l ( ) Thus, boh qui clos o ch oh. Dwig wo pois of l GD o ul logihmic vicl is gis wo pois i im (s Figu -), w fid h h slop of wo pois

4 4 l 500 l 400 pss h ul gowh of l GD. Mo glly sig, if ul logihm of im-sis d is dw gis im, h h slop cospods o h pcg chg p ui of im...2. Empl 2: Th ul of 70 Th scod pplicio of h ppoimio fomul is bou h ul of 70, which ss h if h of is 00 i % ims h umb of ys fo ivsm is qul o 70, h picipl will doubl. Fo mpl, if you sv 7% is fo ys, you moy will doubl ppoimly; ( ) 0 = If you pu you moy much low of is %, i ks bou 70 ys o doubl; ( + 0.0) 70 = Why dos h ul of 70 hold? Ou ppoimio woks qui wll o pov i. Th ul of 70 c b wi i mhmicl m: if 00i = 70, h ( i) + 2 L us k ul logihm fo boh sids. Fo h lf hd sid, w hv 70 l ( + i) = l ( + i) i = = Fo h igh hd sid, l 2 = Hc, h ul of 70 holds s ppoimio!..3. Empl 3: Th Fish quio L us mov o lil mo complicd mpl. I bliv h you ld h Fish quio i ioducoy mco, o omil is is qul o l is plus pcd iflio. Th Fish quio is pssd s follows: i = +, + + wh i is im- o-y omil is,, + is l is bw d +, is cu pic lvl, d + is h pcio of o-piod hd pic lvl. Now, you hv o hudd y. A l vlu of 00 y is 00. O h oh hd, 00( + i ) you will obi i l m s fui of o-y svig. Th is, you +

5 sv 00 i l m, d pcd o civ 00 + i + y. You svig pl is summizd by h blow bl. 5 i l m f o icipl im Sum wih is im + Nomil m 00 ( + i ) 00 Rl m i + + A l goss is bw d + ( +, ) is compud s h l vlu of picipl d is im + dividd by h l vlu of picipl im, o 00 ( + i ) + + i +, + = = L us ppoim h bov quio. A sy p is o k ul logihm of h fis m; ( ) logihm of h hid m; l +, +, +. A lil mssi p is o k ul + i + l = l ( + i) ( l l + ) i + Combiig wo ppoimd ms lds o quio!, + + = i. Th is h Fish

6 6.2. Cu vibls s ih h sul of h ps o h mio of h fuu A fis-diffc li quio sblishs li lioship bw coscuiv im-sis vibls, sy wh d such s = + z (-2-) is dogously dmid by h bov quio, im-sis vibl, d is pm. Suppos h is bw zo d o, d bov fis diffc quio, w hv = + z 2 2 = + z = 0 + z0 z is ogous ss fom im 0. Giv h Subsiuig hs quios io quio (-2-) i cusiv m, w hv h followig soluio o quio (-2-): 0 (-2-2) = 0 = z + Thus, flcs h ps vlus of z giv 0. Bcus ppochs zo s is lg, mo dis ps z hs wk ffcs o h cu vlu of. L us pick up o mpl fo = + z wh 0< <. Giv physicl cpil K h bgiig of im -, goss ivsm I of dpciio δ wh 0 < δ < is dpciio, coibus o ics i physicl K cpil K K. Thus, fis-diffc li quio holds: K K I δ K = o No h 0< δ <. K = K + I δ Th subsiuio pocdu gs h soluio o h bov quio. ( δ ) 0. (-2-3) K = I + K = 0 Th is, h cu lvl of physicl cpil ivsm I, giv K 0, whil mo dis K flcs h ps vlus of goss I hs wk ffcs o K. H, I would lik you o py cful io o h diffc i h u of im sis bw physicl cpil d goss ivsm. Th is, physicl cpil K svs s sock vibl which cods coomic s poi of im o h bgiig of im, whil goss ivsm I svs s flow vibl which cods coomic civiy fo piod of im o duig im. Thus, quio (-2-3) implis h h cu s pssd by sock vibl flcs h ps

7 7 coomic civiy pssd by flow vibls. W ow suppos h o 0< <, bu < fo = + z. Th, h soluio o his quio, o quio (-2-3) looks h sg; mo dis ps I hs o wk, bu sog ffcs o. Bu, smll gm of quio (-2-) givs us isig sul. = + w (-2-4) + wh ogous vibl w is dfid s z. No h 0< <. Giv quio (-2-4), w hv + = w+ + 2 = w = w+ 3. Rcusivly subsiuig hs quios io quio (-2-4) ifii ims, w div h followig soluio o quio (-2-4). = w+ + lim + (-2-5) 0 = Equio (-2-5) hs h ipio which is opposi o h of quio (-2-2). Th cu vlu of dogous vibl flcs o ps, bu fuu ogous vibls w +. Bcus ppochs zo s is lg, h fis m of h igh hd sid of quio (-2-4) implis h mo dis fuu w + hs wk ffcs o. O h oh hd, is scod m covgs o zo wh is posiiv d fii. Figuivly sig, quio (-2-) implis h h ps siuio dmis h cu s. Covsly, quio (-2-4) suggss h h fuu siuio dmis h cu s. You will s my mpls of quio (-2-4) houghou his cous. I jus pick up o simpl mpl. Suppos h ivsos qui quiy us o b ρ > 0. A cu quiy pic is p, d i is pcd o b p + ogh wih dividd d + i h piod. I his sup, ivsm fui bw im d im + cosiss of cpil gi p + p d icom gi d +. As cosquc p+ p + d+ of quim fom ivsos, quiy u mus b qul o ρ ; p

8 8 p p + d p = ρ >. This codiio ducs o: p = p + d + ρ + ρ + + (-2-6) Equio idd blogs o quio (-2-4) bcus 0< < by cosucio. + ρ Applyig quio (-2-5), h soluio o quio (-2-6) lds o: p = d + lim p + + ρ = + + ρ Giv posiiv fii p, h scod m of h igh hd sid of h bov quio covgs o zo. Th, h cu quiy pic { d, d, d,..., d } wih h of discou ρ. p flcs h fuu dividds You my o wi fo oh mpls of quio (-2-4), bu I would lik you o b lil pi.

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

Axe 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:

Axe 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 information

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No.

Department of Mathematics. Birla Institute of Technology, Mesra, Ranchi MA 2201(Advanced Engg. Mathematics) Session: Tutorial Sheet No. Dpm o Mhmics Bi Isi o Tchoog Ms Rchi MA Advcd gg. Mhmics Sssio: 7---- MODUL IV Toi Sh No. --. Rdc h oowig i homogos dii qios io h Sm Liovi om: i. ii. iii. iv. Fid h ig-vs d ig-cios o h oowig Sm Liovi bod

More information

NEWBERRY FOREST MGT UNIT Stand Level Information Compartment: 10 Entry Year: 2001

NEWBERRY FOREST MGT UNIT Stand Level Information Compartment: 10 Entry Year: 2001 iz oy- kg vg. To. 1 M 6 M 10 11 100 60 oh hwoo uvg N o hul 0 Mix bg. woo, moly low quliy. Coif ompo houghou - WP/hmlok/pu/blm/. vy o whi pi o h ouh fig of. iffiul o. Th o hi i o PVT l wh h g o wll big

More information

Right Angle Trigonometry

Right Angle Trigonometry Righ gl Trigoomry I. si Fs d Dfiiios. Righ gl gl msurig 90. Srigh gl gl msurig 80. u gl gl msurig w 0 d 90 4. omplmry gls wo gls whos sum is 90 5. Supplmry gls wo gls whos sum is 80 6. Righ rigl rigl wih

More information

Non-Renewable Resources

Non-Renewable Resources ENG 4 UTAINABILITY d NATUAL EOUE MANAGEMENT No-wbl soucs Boi ushm-oisi 8- Juy 8 W do xc viy of o-wbl sil soucs. of xcio vicl sms limid by mou of svs hoizol. 3 ys slop = /3 ys Mk pic is clly ld o scciy

More information

Convergence tests for the cluster DFT calculations

Convergence 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 information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S. Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%

More information

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of

One of the common descriptions of curvilinear motion uses path variables, which are measurements made along the tangent t and normal n to the path of Oe of he commo descipios of cuilie moio uses ph ibles, which e mesuemes mde log he ge d oml o he ph of he picles. d e wo ohogol xes cosideed sepely fo eey is of moio. These coodies poide ul descipio fo

More information

EE415/515 Fundamentals of Semiconductor Devices Fall 2012

EE415/515 Fundamentals of Semiconductor Devices Fall 2012 3 EE4555 Fudmls of Smicoducor vics Fll cur 8: PN ucio iod hr 8 Forwrd & rvrs bis Moriy crrir diffusio Brrir lowrd blcd by iffusio rducd iffusio icrsd mioriy crrir drif rif hcd 3 EE 4555. E. Morris 3 3

More information

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)

More information

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage?

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage? Bu Mb Nx Gi Cud-f img, hwig Eh ufc i u c, hv b cd + Bhymy d Tpgphy fm y f mhy d. G d p, bw i xpd d ufc, bu i c, whi i w. Ocb 2004. Wh fm f w c yu idify Eh ufc? Why wud h c ufc hv high iiy i m, d w iiy

More information

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics F.Y. Diplom : Sem. II [CE/CR/CS] Applied Mhemics Prelim Quesio Pper Soluio Q. Aemp y FIVE of he followig : [0] Q. () Defie Eve d odd fucios. [] As.: A fucio f() is sid o e eve fucio if f() f() A fucio

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DEFNTE NTEGRATON EXERCSE - CHECK YOUR GRASP. ( ) d [ ] d [ ] d d ƒ( ) ƒ '( ) [ ] [ ] 8 5. ( cos )( c)d 8 ( cos )( c)d + 8 ( cos )( c) d 8 ( cos )( c) d sic + cos 8 is lwys posiiv f() d ( > ) ms f() is

More information

Trigonometric Formula

Trigonometric Formula MhScop g of 9 FORMULAE SHEET If h lik blow r o-fucioig ihr Sv hi fil o your hrd driv (o h rm lf of h br bov hi pg for viwig off li or ju coll dow h pg. [] Trigoomry formul. [] Tbl of uful rigoomric vlu.

More information

Physics 232 Exam I Feb. 13, 2006

Physics 232 Exam I Feb. 13, 2006 Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.

More information

WELSH JOINT EDUCATION COMMITTEE CYD-BWYLLGOR ADDYSG CYMRU MATHEMATICS. FORMULA BOOKLET (New Specification)

WELSH JOINT EDUCATION COMMITTEE CYD-BWYLLGOR ADDYSG CYMRU MATHEMATICS. FORMULA BOOKLET (New Specification) WELSH JOINT EDUCATION COMMITTEE CYD-BWYLLGOR ADDYSG CYMRU Gl Ciic o Eucio Avc Lvl/Avc Susii Tssgi Asg Giol So Uwch/Uwch Gol MATHEMATICS FORMULA BOOKLET Nw Spciicio Issu 004 Msuio Suc o sph 4π A o cuv suc

More information

Chapter4 Time Domain Analysis of Control System

Chapter4 Time Domain Analysis of Control System Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio

More information

Silv. Criteria Met? Condition

Silv. Criteria Met? Condition NEWERRY FORET MGT UNIT Ifomio Compm: 106 Ey Y: 2001 iz oy- kg g vg. To. i 1 Q 6 Q 2 48 115 9 100 35 mix wmp mu Y o hul 0 j low i Ro (ou o ply vilbl) h o h ouhw wih 10' f. Culy o o hough PVT popy o hi.

More information

Handout on. Crystal Symmetries and Energy Bands

Handout 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 information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times. 2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

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

Emigration The movement of individuals out of an area The population decreases

Emigration 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

Inverse Thermoelastic Problem of Semi-Infinite Circular Beam

Inverse Thermoelastic Problem of Semi-Infinite Circular Beam iol oul o L choloy i Eii M & Alid Scic LEMAS Volu V u Fbuy 8 SSN 78-54 v holic Pobl o Si-ii Cicul B Shlu D Bi M. S. Wbh d N. W. Khobd 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

A TRANSIENT HEAT CONDUCTION PROBLEM OF SEMI-INFINITE SOLID CIRCULAR CYLINDER AND ITS THERMAL DEFLECTION BY QUASI-STATIC APPROACH

A TRANSIENT HEAT CONDUCTION PROBLEM OF SEMI-INFINITE SOLID CIRCULAR CYLINDER AND ITS THERMAL DEFLECTION BY QUASI-STATIC APPROACH Iiol oul of Physics d Mhmicl Scics ISSN: 77- (Oli) Oli Iiol oul vilbl hp://www.cibch.og/jpms.hm Vol. () Ocob-Dcmb pp.-6/kd d Dshmukh Rsch icl RNSIEN HE CONDUCION PROBLEM O SEMI-ININIE SOLID CIRCULR CYLINDER

More information

Physics 232 Exam I Feb. 14, 2005

Physics 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 information

Chapter 8: Propagating Quantum States of Radiation

Chapter 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 information

Neutrosophic Hyperideals of Semihyperrings

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

More information

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

Bus times from 18 January 2016

Bus times from 18 January 2016 1 3 i ml/ Fm vig: Tllc uchhuggl Pkh ig Fm u im fm 18 Ju 2016 Hll lcm Thk f chig vl ih Fi W p xiv k f vic hughu G Glg h ig mk u ju pibl Ii hi gui u c icv: Th im p hi vic Pg 6-15 18-19 Th u ii v Pg -5 16-17

More information

Silv. Criteria Met? Condition

Silv. Criteria Met? Condition GWINN FORET MGT UNIT Ifomio Compm: 254 Ey Y: 29 iz y oy- kg g vg. To. i 1 5 M 3 24 47 7 4 55 p (upl) immu N 1-19 y Poo quliy off i p. Wi gig okig. 2 R 6 M 1 3 42 8 13 57 pi immu N 1-19 y Plio h om mio

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

x, x, e are not periodic. Properties of periodic function: 1. For any integer n, Chpr Fourir Sri, Igrl, d Tror. Fourir Sri A uio i lld priodi i hr i o poiiv ur p uh h p, p i lld priod o R i,, r priodi uio.,, r o priodi. Propri o priodi uio:. For y igr, p. I d g hv priod p, h h g lo

More information

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS

LINEAR 2 nd ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS Diol Bgyoko (0) I.INTRODUCTION LINEAR d ORDER DIFFERENTIAL EQUATIONS WITH CONSTANT COEFFICIENTS I. Dfiiio All suh diffril quios s i h sdrd or oil form: y + y + y Q( x) dy d y wih y d y d dx dx whr,, d

More information

Picture a Greener Future

Picture a Greener Future Picu G Fuu R Bsch (Ausli) Py Ld Thmchlgy Divisi (STT) Lckd Bg 66 CLAYTON SOUTH, VIC, 3169 AUSTRALIA www.sch-clim.cm.u R Bsch (Ausli) Py Ld, 2011 Sujc chg Pid i Ausli 07/11 Pi W hv vy kid u pl F husds f

More information

Continous system: differential equations

Continous system: differential equations /6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

St ce l. M a p le. Hubertus Rd. Morgan. Beechwood Industrial Ct. Amy Belle Lake Rd. o o. Am Bell. S Ridge. Colgate Rd. Highland Dr.

St ce l. M a p le. Hubertus Rd. Morgan. Beechwood Industrial Ct. Amy Belle Lake Rd. o o. Am Bell. S Ridge. Colgate Rd. Highland Dr. S l Tu pi Kli 4 Lil L ill ill ilfl L pl hi L E p p ll L hi i E: i O. Q O. SITO UKES Y Bll Sig i 7 ppl 8 Lill 9 Sh 10 Bl 11 ul 12 i 7 13 h 8 10 14 Shh 9 11 41 ill P h u il f uu i P pl 45 Oh P ig O L ill

More information

Quality Monitoring Calibration Assuring Standardization Among Monitors

Quality Monitoring Calibration Assuring Standardization Among Monitors Qualiy Moioig alibaio Assuig Sadadizaio Amog Moios MOR Rspod oopaio Wokshop Spmb 2006 Ral Soluios fo Tlpho Suvy Mhodology alibaio - accodig o Wbs To sadadiz by dmiig h dviaio fom a sadad as o ascai h pop

More information

Chapter 21: Connecting with a Network

Chapter 21: Connecting with a Network Pag 319 This chap discusss how o us h BASIC-256 wokig sams. Nwokig i BASIC-256 will allow fo a simpl "sock" cocio usig TCP (Tasmissio Cool Poocol). This chap is o ma o b a full ioducio o TCP/IP sock pogammig.

More information

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2 Impope Inegls To his poin we hve only consideed inegls f() wih he is of inegion nd b finie nd he inegnd f() bounded (nd in fc coninuous ecep possibly fo finiely mny jump disconinuiies) An inegl hving eihe

More information

FOURIER ANALYSIS Signals and System Analysis

FOURIER ANALYSIS Signals and System Analysis FOURIER ANALYSIS Isc Nwo Whi ligh cosiss of sv compos J Bpis Josph Fourir Bor: Mrch 768 i Auxrr, Bourgog, Frc Did: 6 My 83 i Pris, Frc Fourir Sris A priodic sigl of priod T sisfis ft f for ll f f for ll

More information

Problem Session (3) for Chapter 4 Signal Modeling

Problem Session (3) for Chapter 4 Signal Modeling Pobm Sssio fo Cht Sig Modig Soutios to Pobms....5. d... Fid th Pdé oimtio of scod-od to sig tht is giv by [... ] T i.. d so o. I oth wods usig oimtio of th fom b b b H fid th cofficits b b b d. Soutio

More information

! ( ! ( " ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001.

! ( ! (  ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001. # PU: P # OU: O ow oih ih. Oc v c: i,, o,, I, ic P o., O, U, FO, P,, o, I,, Oc v, i J, I, i hi, woo, Ii, O ciuo, h I U i h wi h fo h of O' ci. I o, oifi, c o i u hi, xc O o qui w. O cc o iii, iii whov,

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

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

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

More information

Helping every little saver

Helping every little saver Spt th diffc d cut hw u c fid I c spt thigs! Hlpig v littl sv Hw d u p i? I ch Just pp it f u chs. T fid u lcl ch just visit s.c.uk/ch If u pig i chqu, it c tk ud 4 wkig ds t cl Ov th ph Just cll Tlph

More information

LED lighting + 2.3% + 2.2% Controlling energy costs, a major competitiveness driver. Our main projects

LED lighting + 2.3% + 2.2% Controlling energy costs, a major competitiveness driver. Our main projects Clli y ss, j piivss div Sdily isi y qis Dspi pss i y ffiiy, h wldwid liiy spi is wi by ii f 2.3% p y ss ll ss. d is ps hlp y lii h ip f y ss y bsiss Hih d isi pis Th pi f liiy is sdily isi i OECD (Oisi

More information

Duration Notes 1. To motivate this measure, observe that the duration may also be expressed as. a a T a

Duration Notes 1. To motivate this measure, observe that the duration may also be expressed as. a a T a Duio Noes Mculy defied he duio of sse i 938. 2 Le he sem of pymes cosiuig he sse be,,..., d le /( + ) deoe he discou fco. he Mculy's defiiio of he duio of he sse is 3 2 D + 2 2 +... + 2 + + + + 2... o

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 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 information

Boyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory

Boyce/DiPrima/Meade 11 th ed, Ch 4.1: Higher Order Linear ODEs: General Theory Bo/DiPima/Mad h d Ch.: High Od Lia ODEs: Gal Tho Elma Diffial Eqaios ad Boda Val Poblms h diio b William E. Bo Rihad C. DiPima ad Dog Mad 7 b Joh Wil & Sos I. A h od ODE has h gal fom d d P P P d d W assm

More information

Derivation of the differential equation of motion

Derivation of the differential equation of motion Divion of h iffnil quion of oion Fis h noions fin h will us fo h ivion of h iffnil quion of oion. Rollo is hough o -insionl isk. xnl ius of h ll isnc cn of ll (O) - IDU s cn of gviy (M) θ ngl of inclinion

More information

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012

AE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012 AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr

More information

BINOMIAL THEOREM OBJECTIVE PROBLEMS in the expansion of ( 3 +kx ) are equal. Then k =

BINOMIAL 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 information

UNIT I FOURIER SERIES T

UNIT I FOURIER SERIES T UNIT I FOURIER SERIES PROBLEM : Th urig mom T o h crkh o m gi i giv or ri o vu o h crk g dgr 6 9 5 8 T 5 897 785 599 66 Epd T i ri o i. Souio: L T = i + i + i +, Sic h ir d vu o T r rpd gc o T T i T i

More information

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder Nolr Rgrsso Mjor: All Egrg Mjors Auhors: Aur Kw, Luk Sydr hp://urclhodsgusfdu Trsforg Nurcl Mhods Educo for STEM Udrgrdus 3/9/5 hp://urclhodsgusfdu Nolr Rgrsso hp://urclhodsgusfdu Nolr Rgrsso So populr

More information

( A) ( B) ( C) ( D) ( E)

( A) ( B) ( C) ( D) ( E) d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs

More information

SHINGLETON FOREST MGT UNIT Stand Level Information Compartment: 194 Entry Year: 2011

SHINGLETON FOREST MGT UNIT Stand Level Information Compartment: 194 Entry Year: 2011 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 L L 18 lowl buh ol gowh N o hul (poil o ul) om Fm : C - y

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data Rind 8-- Wbsi: wwwshimoionsnl Ro 67, Jun 97, Dlf Univsiy of chnoloy, Shi Hydomchnics Lbooy, Mklw, 68 CD Dlf, h Nhlnds A Siml Mhod fo Dminin h Mnouvin Indics K nd fom Ziz il D JMJ Jouné Dlf Univsiy of chnoloy

More information

SHINGLETON FOREST MGT UNIT Stand Level Information Compartment: 186 Entry Year: 2011

SHINGLETON FOREST MGT UNIT Stand Level Information Compartment: 186 Entry Year: 2011 INGLETON FORET MGT UNIT Ifomio Compm: 186 Ey Y: 211 iz y U oy- kg g vg. To. i Tm. Pioiy Culul 1 M 9 M 3 15 13 12 61 oh hwoo ol gowh Y lio wihi -9 y 2 Ry o l u. pbl g ilu ll ommil hwoo pi. Wl : Wi u. Ri

More information

Hygienic Cable Glands

Hygienic Cable Glands ygc bl Gld followg h cll WA l h Mufcug h l oo c y Bocholog du hcl du: vodg buld-u cy. Gl bl ygc l food d d ckgg of ology y o o d u of ud ll ld hcucl wh hy ovd h f u o h cl o h o dh ooh fh No hd cod o d

More information

The Newsletter for FSB Connect Club Members. May/June y M. Six. August 7. But it s a M ONLY. going! gratuity

The Newsletter for FSB Connect Club Members. May/June y M. Six. August 7. But it s a M ONLY. going! gratuity Th Nwl f FSB Cc Cl M D x i S M... p i T l h! ll cii i YOU ip i x M -D f Six Th f hi ip v k ll, I c ll W? hi ii ll i c I f p wh i T i ih B i M vl w kf v l ll il f w v l: v h w ll h l f 11 f fi h l l w v

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Get Funky this Christmas Season with the Crew from Chunky Custard

Get Funky this Christmas Season with the Crew from Chunky Custard Hol Gd Chcllo Adld o Hdly Fdy d Sudy Nhs Novb Dcb 2010 7p 11.30p G Fuky hs Chss Sso wh h Cw fo Chuky Cusd Fdy Nhs $99pp Sudy Nhs $115pp Tck pc cluds: Full Chss d buff, 4.5 hou bv pck, o sop. Ts & Codos

More information

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

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

More information

New Advanced Higher Mathematics: Formulae

New Advanced Higher Mathematics: Formulae Advcd High Mthmtics Nw Advcd High Mthmtics: Fomul G (G): Fomul you must mmois i od to pss Advcd High mths s thy ot o th fomul sht. Am (A): Ths fomul giv o th fomul sht. ut it will still usful fo you to

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

Analysis of Effects of Rebounds and Aerodynamics for Trajectory of Table Tennis Ball

Analysis of Effects of Rebounds and Aerodynamics for Trajectory of Table Tennis Ball Al f Effc f Ru Ac f Tjc f Tl T Bll Juk Nu Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Ak Nkh Mchcl Scc Egg, Gu Schl f Egg, Ng Uv, Fu-ch, Chku-ku, Ng, J Yhku Hkw Mchcl Scc Egg, Gu Schl f

More information

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

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

More information

UDDH. B O DY, OM H F VOW YOU LF, ND KLP, FUU ND GD NN O CND L, PU PC O UN O O BCK COM N OU, L H UN BUDDH' MK. HN H OPN MO. ONC LOOULY G H L GN. G DHM'

UDDH. B O DY, OM H F VOW YOU LF, ND KLP, FUU ND GD NN O CND L, PU PC O UN O O BCK COM N OU, L H UN BUDDH' MK. HN H OPN MO. ONC LOOULY G H L GN. G DHM' x lv u G M Hg Cmm k M Hu Hu L H u g B l M C u m u #173 Y: WH CUNG POP DHM O MN LONG N WOLD? H OU WOLD HOD ON, FO OU K, CULVD BODH WY FO MUL KLP. COULD PCC WH W DFFCUL O P CC, COULD NDU WH W DFFCUL O NDU.

More information

Poisson Arrival Process

Poisson Arrival Process Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C

More information

Chapter 4 Circular and Curvilinear Motions

Chapter 4 Circular and Curvilinear Motions Chp 4 Cicul n Cuilin Moions H w consi picls moing no long sigh lin h cuilin moion. W fis su h cicul moion, spcil cs of cuilin moion. Anoh mpl w h l sui li is h pojcil..1 Cicul Moion Unifom Cicul Moion

More information

Exterior Building Renovations

Exterior Building Renovations xterior Building enovations Fifth treet Henderson, 0 Project : 0-0 ate: J, 0 OPL O L H F O O P L uite 00 outheast hird treet vansville, ndiana 0- :.. F:.. H POJ LOO HH VH OMMOWLH JFF J XH M V OH M FFH

More information

GUC (Dr. Hany Hammad)

GUC (Dr. Hany Hammad) Lct # Pl s. Li bdsid s with ifm mplitd distibtis. Gl Csidtis Uifm Bimil Optimm (Dlph-Tchbshff) Cicl s. Pl s ssmig ifm mplitd citti m F m d cs z F d d M COMM Lct # Pl s ssmig ifm mplitd citti F m m m T

More information

principles of f ta f a rt.

principles 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 information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus) Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h

More information

FICH~:s lciithyo\l~~trio~es.

FICH~:s lciithyo\l~~trio~es. PB FCNyM UNLP T g vg wk b b y y g b y F wk v b m b v gz w my y m g E bv b g y v q y q q ó y P mv gz y b v m q m mó g FCH CTHYOTROES P W P -C b } k < HP- qe q< - - < - m T

More information

Mixing time with Coupling

Mixing time with Coupling Mixig im wih Couplig Jihui Li Mig Zhg Saisics Dparm May 7 Goal Iroducio o boudig h mixig im for MCMC wih couplig ad pah couplig Prsig a simpl xampl o illusra h basic ida Noaio M is a Markov chai o fii

More information

CS 688 Pattern Recognition. Linear Models for Classification

CS 688 Pattern Recognition. Linear Models for Classification //6 S 688 Pr Rcogiio Lir Modls for lssificio Ø Probbilisic griv modls Ø Probbilisic discrimiiv modls Probbilisic Griv Modls Ø W o ur o robbilisic roch o clssificio Ø W ll s ho modls ih lir dcisio boudris

More information

Finite Fourier Transform

Finite Fourier Transform Chp Th gl Tsom Mhods.3 Fii Foi Tsom Novmb 6 7 755.3 Fii Foi Tsom.3. odcio - Fii gl Tsom 756 Tbl Fii Foi Tsom 76.3. H Eqio i h Fii y 76.3.3 Codcio d Advcio 768.3.4 H Eqio i h Sph 774.3.5 Empls plg low ov

More information

b y G a r s i d e S i g n s & D i s p l a y s ( E s t a b l i s h e d )

b y G a r s i d e S i g n s & D i s p l a y s ( E s t a b l i s h e d ) b G S g & D l ( E b l 1 9 4 8 ) Fllb DDu TCu kf ug OV wgf JSlPg. Su-z, g lb. bwlfg T: BC El V l ff (NE f P Dugl) 1 ww l l 1950 b R G. (NOTE: Bk, BC El w l ll ul l) B: Sg v b Wlf G. Ml: Ll w lg f R G ug

More information

TRAVERSE CITY FOREST MGT UNIT Stand Level Information Compartment: 108 Entry Year: 2010

TRAVERSE CITY FOREST MGT UNIT Stand Level Information Compartment: 108 Entry Year: 2010 oy- kg Lvl vg. 1 M 6 M 1 148 79 9 110 50 oh hwoo immu N hiig wihi 0-9 y 2 Wl : i bi by h Klkk ORV Til. Th lu owmobil Til bo h w g of h. ou g pipli plll h il o log h oh g of h. Th i pimily ug Mpl wih om

More information

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues.

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues. UNIT L clb! Sud Bk pg W h w plc. l c h m c u chl g w m m l p p c p k 7 b 8 l y. L, chck d pc h dlgu. Rd d mch. c Wh yu bhdy? Wh d h flm? Wh p wuld yu lk? Hw much h dg? Wuld yu lk g h pk? D yu lk c? 7 Wh

More information

Approximation of Functions Belonging to. Lipschitz Class by Triangular Matrix Method. of Fourier Series

Approximation of Functions Belonging to. Lipschitz Class by Triangular Matrix Method. of Fourier Series I Jorl of Mh Alysis, Vol 4, 2, o 2, 4-47 Approximio of Fcios Blogig o Lipschiz Clss by Triglr Mrix Mhod of Forir Sris Shym Ll Dprm of Mhmics Brs Hid Uivrsiy, Brs, Idi shym _ll@rdiffmilcom Biod Prsd Dhl

More information

OPTICAL DESIGN. FIES fibre assemblies B and C. of the. LENS-TECH AB Bo Lindberg Document name: Optical_documentation_FIES_fiber_BC_2

OPTICAL DESIGN. FIES fibre assemblies B and C. of the. LENS-TECH AB Bo Lindberg Document name: Optical_documentation_FIES_fiber_BC_2 OPTICAL DESIGN f h FIES fb ssmbs B d C LENS-TECH AB B Ldbg 2-4-3 Dcm m: Opc_dcm_FIES_fb_BC_2 Idc Ths p s dcm f h pc dsg f h FIES fb ssmbs B d C Th mchc dsg s shw I s shw h ssmb dwg md b Ahs Uvs Fb c Th

More information

IJRET: International Journal of Research in Engineering and Technology eissn: pissn:

IJRET: International Journal of Research in Engineering and Technology eissn: pissn: IJRE: Iiol Joul o Rh i Eii d holo I: 39-63 I: 3-738 VRIE OF IME O RERUIME FOR ILE RDE MOWER EM WI DIFFERE EO FOR EXI D WO E OF DEIIO VI WO REOLD IVOLVI WO OMOE. Rvihd. iiv i oo i Mhi R Eii oll RM ROU ih

More information

drawing issue sheet Former Royal High School - Hotel Development

drawing issue sheet Former Royal High School - Hotel Development H Forer oyal High chool - Hotel Developent drawing isse sheet general arrangeents drawing nber drawing title scale size L()1 ite Plan 1:1 / L()1 egent oad level proposed floor plan 1: 1 / L() ntrance level

More information

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016

Valley Forge Middle School Fencing Project Facilities Committee Meeting February 2016 Valley Forge iddle chool Fencing roject Facilities ommittee eeting February 2016 ummer of 2014 Installation of Fencing at all five istrict lementary chools October 2014 Facilities ommittee and

More information

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics

More information

Poisson Arrival Process

Poisson Arrival Process 1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =

More information

Response of LTI Systems to Complex Exponentials

Response of LTI Systems to Complex Exponentials 3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will

More information

Rapid growth in enrolment within the French Immersion program

Rapid growth in enrolment within the French Immersion program Nw Nh Ajx Fch Ii ch- Ovviw R Di PS p i Spb 2009 u ck Egih Fch Ii ch Egih Fch Ii Y E E Pb 2009 333 197 0 2010 405 281 2 2011 431 332 6 2012 466 409 10 2013 486 474 14 Rpi gwh i wihi h Fch Ii pg Pp c Fch

More information