Numerical Solution of a non-linear Volterra Integrodifferential Equation via Runge-Kutta-Verner Method

Size: px
Start display at page:

Download "Numerical Solution of a non-linear Volterra Integrodifferential Equation via Runge-Kutta-Verner Method"

Transcription

1 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 ISSN -33 Nmril Solio of o-lir Volrr Igroiffril Eqio vi Rg-K-Vrr Mho Ali Filiz * * Dprm of Mhmis A Mrs Uivrsiy 9 AYDIN-TURKEY Asr- I his ppr highr-orr mril solio of o-lir Volrr igro-iffril qio is isss. Exmpl of his qsio hs solv mrilly sig h Rg-K-Vrr mho for Oriry Diffril Eqio (ODE) pr Nwo-Cos formls for igrl prs. Ix Trms- A highr-orr ry Lgrg irpolig qrr formls Rg-K mhos o-lir Volrr igro-iffril qio. I. INTRODUCTION A fiol qio i whih h ow fio pprs i h form of i is riviv s wll s r h igrl sig is ll igro-iffril qio (s [ 4 ]). I his ppr w will osir h o-lir Volrr igroiffril qio of h form (s [ 4 7 8]) ( ) ) ( ( )( ). () ' Eqio () solv mrilly sig vrios mhos (s [ 9 ]). I his ppr ) will o h x vl of h. W shll s ( ) or o o mril solio of. Howvr i his ppr w will osr highr-orr mril mho for qio (). Si h igrl o rmi xpliily i my pproxim sig fmilir mril igrio mhos. Th Nwo-Cos igrio forml whih il h -poi los Nwo-Cos forml is ll h rpzoil rl h 3-poi rl is ow s Simpso s /3 rl h 4-poi los rl is Simpso s 3/8 rl h -poi los rl is Bool s rl (Bo s rl Wl s rl highr rls il h -poi 7-poi 8-poi r wll si hr si hy s os whih wr giv i [ 37] [4 ]. II. THE NUMERICAL INTEGRATION OF A NON-LINEAR VOLTERRA INTEGRO-DIFFERENTIAL EQUATION I grl forml for h mril solio of igro-iffril qios rly po forml for h rlyig Oriry Diffril Eqio (ODE omi wih xiliry qrr rls pproximio of z ( ) : h ( ) ) ( s. () Of ors whrs w hv fi pproximios z ( ) i rms of qrr rls h rfl h rlyig ODE mho i is i priipl possil o mix mh. Th omiios of forml hos o h sis of orr of ovrg. Th firs ivolvs pig Rg-K mhos. W will rqir o pproxim igrl rm z ( ) : h ( ) ( ) ( s sl vls. Eqio () solv svrl wys. I his ppr w shll fos o highr-orr mril mho for qio (). Th igrl my pproxim sig fmilir mril igrio mhos. Th Nwo-Cos igrio formls whih il lf righ rgl rls h rpzoil rl Simpso s /3 rl Simpso s 3/8 rl r wll si hr si hy s os whih wr prviosly ll [ ]: (

2 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 ISSN -33 ( s h ( ) ( ) whr r h ppropri offiis for h omposi igrio shms hos. A omiio of igrio mho my s. III. NUMERICAL ROUTINE FOR NON-LINEAR VOLTERRA INTEGRO-DIFFERENTIAL EQUATION Now osir h o-imsiol prolm (). I orr o solv () mrilly w prpos h s of wo mhos fmilir o mos mhmiis. W osir mhos whih pproxim h solio h iiil vl prolm (IVP) im ' ( ) ) ( s ) h = 3. whr h is h os ol sp-siz i h Exmpl 3. ( r ( s. For xmpl h xplii Elr mho pproxims h solio o Exmpl 3. ( ) ( ). s h r s s Th xplii fii iffr mho giv i [] s ppli o qio () sily x o mor r prior-orror mho. Th prior sp ss ( ( h F z( )) ) o oi whih is follow y h orror sp whih ss highr orr rpzoil mho ( )) ( h F z F z ( ). This pror is ow s moifi Elr mho (so orr Rg-K-RK) is o orr mgi mor r h h xplii Elr mho. Th forh orr lssil Rg-K mho (RK4) lso p o h mril solio of qio (). Sppig from wih sp-siz h o oi h RK4 mho s ppli o his prolm i [ ]. Th sixh orr Rg-K-Vrr mhos [3] my s o rily si h irol vlio pois r iformly sp. Cosqly h igrls rig h irmi llios o sp from o my rqir h rpzoil rl or Lgrg polyomil irpolig igrio o o-iform priio ]. [ Rg-K-Vrr mho (RKV) lso p o h mril solio of (). Sppig from h RKV mho s ppli o his prolm my wri s: h z( ) (3) wih sp-siz h o oi / h / / / / z h h/ F/ / z / 4 4/ 7 7

3 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 3 ISSN -33 h 3 4/ 4/ 4/ 4/ z 4 h 3 h4/ F4/ 4/ z 4/ / 3 3 h 4 / 3 / 3 / 3 / 3 z h 4 h/3 F/3 / 3 z / / h / / / / z h h/ F/ / z / h z h h F z f / 7 8 h f f 7 / / / / z f f f h 7 h / F/ / z / 3 g h g g 8 z g g g h 8 h F z (4) () I his xmpl h rpzoil rl is s o pproxim z ( ) ( s o ] ] ] [ [ / [ 4/ [ / 3 / ] [ ] [ / ] [ ] i llig rspivly. If sir h

4 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 4 ISSN -33 rpzoil rl my s o ] (givs so orr ry S Tl ); h rpzoil rl Simpso s /3 rl [ (givig hir orr ry s [ ]) my s o ]. [ I orr o g highr-orr ry h igrl rm ms vl mor rly o ] ] [ / [ 4/ [ / 3] [ / ] [ ] [ / ] [ ] i llig s show i () (7 (8 (9 ( ( () low. Th -poi x los rl is Bool's mho my vis o ] s followig: z()= )= If = z(+)= z() + h( ) + +) ) / lsif == z(+)= z(-) + h( -) +4 ) + +) ) /3 lsif ==3 z(+)= z(-) +3h ( -) +3 -) +3 ) + +) ) / 8 lsif ==4 z(+)= z(-3) +h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 lsif == z(+)= z(-4) +h (9-4) +7-3) + -)+ -) + 7 ) +9 +) ) / 88 lsif == z(+)= z(-) + h (4-)+ -4) +7-3) +7 -)+7 -) + ) +4 +) ) / 4 lsif ==7 z(+)= z(-) + 7h (7-)+377-)+ 33-4) ) )+33 -) ) +7 +) ) / 78 lsif ==8 z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 lsif mo(4)== z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 lsif mo(4)== z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 lsif mo(4)== z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 lsif mo(4)==3 z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 ls z(+)= z(-3) + h (7-3) +3 -) +-) + 3 ) +7 +) ) / 4 If w irpolig o / (spil forml rqir for h firs wo sps for xmpl w s (4) ()) Lgrg s forml for pois =- - / givs 3 h h h ) ( ) ( ) ( )( ) 3( )( )( ) ( )( ) /. 3 h h h h h h h [

5 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 ISSN -33 If w igr h xprssio w h/ w g h / ( / 3 s h 8 84 Similrly w fi = =- - 4/ 34 s h h / ( 4/ fi = =- - /3 h / 3 ( /3 4 s h fi = =- - / 8 s h h / ( / fi = =- - h 3 s h ( fi = =- - / h / ( 3 s h 9 filly fi = =- - h 3 s h ( Thrfor h Rg-K-Vrr forml om 3 (for srig vls w s qio (4) ()) h z( ) ) () (7) (8) (9) () () () / h / / / / z h 3 z h / F/ / / 4 4/ 7 7 h 3 4/ 4/ 4/ 4/ h z 34 z h / F4/ 4/ 4/

6 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 ISSN / 3 3 h 4 / 3 / 3 / 3 / 3 z h 4 z h / 3 F/ 3 / 3 / / h / / / / h z 8 z h / F/ / / h h z 3 z h F f 3 / h f f 7 / / / / z f f 3 79 f 7 / / / / h F z h g 3 7 h g g 8 z g g h F z h (3) h sixh-orr mho is s o sim h rror i h fifh-orr mho I Exmpl 3. w hv s Rg-K-Vrr mhos mril qrr rpzoil rl h 3-poi rl is ow s Simpso s /3 rl h 4-poi los rl is Simpso s 3/8 rl h -poi los rl is Bool s rl (Bo s rl Wl s rl highr rls il h -poi 7-poi 8-poi hir omiios. Exmpl 3.: Cosir firs orr o-lir Volrr igro-iffril qio of h form ( ) ' ( ) ) r s s ; ). (4)

7 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 7 ISSN -33 For lyil solio of qio (4 i (4). I qio (4 if w hoos r. w will g x solio s ( ) ). Now wriig m( ) s his is h sm s h iffril qio ) ' ( ) )( r m( ) ' ( ) r ) m( ) If m( ) s h m' ( ) ) m' '( ) '( ). Aiiolly m( ) m' () ). m' '( ) r m'( )( r m( ) m' '( ) r m'( ) m'( ) m( Eqivl o h moifi logisi qio for m () m ( ) m'( ) r m( ) m'( m ( ) m'( ) r m( ) m ( ) m' ( ) r m( ) m ( ) ( m r m( ) ( ) ' m' ( ) ( m( ) )( m( ) () r m( ) whr r roos of m ( ). If w solv qio () wih iiil oiio ( ) m w g m( ) Afr rrrgig ov solio w oi ( m( ) ( ) ( ) ) ( m( ) ) whr ( )

8 Iriol Jorl of Siifi Rsrh Pliios Volm 3 Iss 9 Spmr 3 8 ISSN -33. W ow h or x solio ws (). Wh m' ( ) ) ) ( ) lyil solio of qio ( ) r m (4). Hr r roos of h qio m ( ) ( ) (whr ) so h is pproh y m lrg vls of. Th xpo is fi y ( ). Tl : Nmril solios (4) for RKV mho ( r. ) Nmril solio h= Nmril solio h= Al Solio Rsls mx Error wih h= Rg-K-Vrr mho (RKV) mril qrr rls rsls. REFERENCES Error wih h= [] M. Armowiz I. A. Sg (Es Igrio..4 i Hoo of Mhmil Fios wih Formls Grphs Mhmil Tls 9 h priig Nw Yor: Dovr 97 pp [] A. Asov Uiqss of h solio of sysms of ovolio-yp Volrr igrl qios of h firs i I: Ivrs prolms for iffril qios of h mhmil physis (Rssi) Novsiirs: A. N SSSR Siirs. Ol. Vyhil. Tsr 978 Vol pp. 34. [3] R. L. Br J. D. Firs Nmril Alysis. Nw Yor: Broos/Col Plishig Compy USA 997 h.. [4] C. T. H. Br Th Nmril Trm of Igrl Eqios. Clro Prss; Oxfor Uivrsiy Prss 977. [] C. T. H. Br G. A. Bohorov A. Filiz N. J. For C. A. H. Pl F. A. Rih A. Tg R. M. Thoms H. Ti D. R. Will Nmril Mollig y Rr Fiol Diffril Eqios Nmril Alysis Rpor Mhsr Cr for Compiol Mhmis No:33 ISS [] C. T. H. Br G. A. Bohorov A. Filiz N. J. For C. A. H. Pl F. A. Rih A. Tg R. M. Thoms H. Ti D. R. Will Nmril Mollig y Dly Volrr Fiol Diffril Eqios Nmril Alysis Rpor I: Compr Mhmis is Apliios-Avs & Dvlopms (994- Elis A. Lipiis (Eior LEA Plishrs Ahs Gr pp [7] R. Bllm A Srvy of h Thory of h Boss Siliy Asympoi Bhvior of Solios of Lir No-lir iffril iffr qios Wshigo D. C [8] K. L. Coo Fiol Diffril Eqios Clos o Diffril Eqio Amr. Mh. So. 9 Vol 7 pp [9] A. Filiz O h solio of Volrr Lo-Volrr Typ Eqios LMS sppor O Dy Mig i Dly Diffril qio (Livrpool UK h Mrh. [] A. Filiz Nmril Solio of Som Volrr Igrl Eqios PhD Thsis Th Uivrsiy of Mhsr. [] A. Filiz Forh-Orr Ros Nmril Mho for Igro-iffril Eqios Asi Jorl of Fzzy Appli Mhmis 3 Vol I pp [] P. Liz Alyil Nmril Mhos for Volrr Eqios SIAM Phillphi 98. [3] C. W. Urhr Nmril Compio : Mhos Sofwr lysis. Brli: Sprigr-Vrlg 997. [4] V. Volrr Lços Sr l Thori Mhmiq l L Por L Vi. Ghir-villrs Pris 93. [] V. Volrr Thory of Fiol of Igro-Diffril Eqios. Dovr Nw Yor 99. [] V. Volrr Sll Eqzioi Igro-iffrzili Dll Tori Dll lsi Ai Dll Rl Ami i Lii 8 (99 Rpri i Vio Volrr Opr Mhmih; Mmori No Vol 3 Ami i Lii Rom 97. [7] Wolfrm MhWorl Nwo-Cos Formls vill hp://mhworl.wolfrm.om/nwo-cosformls.hml AUTHORS Firs Ahor Ahor Nm: Dr. Ali Filiz BS (Eg Uivrsiy TR MS (Th Mhsr Uivrsiy UK PhD (Th Mhsr Uivrsiy UK Assis Profssor Dprm of Mhmis A Mrs Uivrsiy 9 AYDIN- TURKEY E-mil: filiz@..r Corrspo Ahor Dr. Ali Filiz E-mil: filiz@..r. Co Nmr: (+9) x. 4

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

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

1. Introduction and notations.

1. Introduction and notations. Alyi Ar om plii orml or q o ory mr Rol Gro Lyé olyl Roièr, r i lir ill, B 5 837 Tolo Fr Emil : rolgro@orgr W y hr q o ory mr, o ll h o ory polyomil o gi rm om orhogol or h mr Th mi rl i orml mig plii h

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

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

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

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

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

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

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Erlkönig. t t.! t t. t t t tj tt. tj t tj ttt!t t. e t Jt e t t t e t Jt Gsng Po 1 Agio " " lkö (Compl by Rhol Bckr, s Moifi by Mrk S. Zimmr)!! J "! J # " c c " Luwig vn Bhovn WoO 131 (177) I Wr Who!! " J J! 5 ri ris hro' h spä h, I urch J J Nch rk un W Es n wil A J J is f

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

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

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

The Heat and Mass Transfer Modeling with Time Delay

The Heat and Mass Transfer Modeling with Time Delay 465 A pliio of HEMIAL ENGINEERING TRANSATIONS OL 57 07 Gs Ediors: Sro Piri Jiří Jromír Klmš Lr Pi Srfim Bklis opyrigh 07 AIDI Srii Srl ISBN 978-88-95608-48-8; ISSN 83-96 Th Ili Assoiio of hmil Egirig Oli

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

(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

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 1, July 2014

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 4, Issue 1, July 2014 7 hrl Srsss o Si Iii Rcglr B wih Irl H Sorc Schi Chhl; A. A. Nlr; S.H. Bg N. W. Khorg r o hics J ciol Cs R Ngr irsi Ngr Ii. Asrc- his r is cocr wih irs rsi hrolsic rol i which w o ri h rr isriio islc cio

More information

Approximate Integration. Left and Right Endpoint Rules. Midpoint Rule = 2. Riemann sum (approximation to the integral) Left endpoint approximation

Approximate Integration. Left and Right Endpoint Rules. Midpoint Rule = 2. Riemann sum (approximation to the integral) Left endpoint approximation M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 Approm Igro M lculus II Tcqus o Igros: Approm Igro -- pr 8.7 7 L d Rg Edpo Ruls Rm sum ppromo o grl L dpo ppromo Rg dpo ppromo clculus ppls d * L d R d

More information

Opening. Monster Guard. Grades 1-3. Teacher s Guide

Opening. Monster Guard. Grades 1-3. Teacher s Guide Tcr Gi 2017 Amric R Cr PLEASE NOTE: S m cml Iiii ci f Mr Gr bfr y bgi i civiy, i rr gi cc Vlc riig mii. Oig Ifrm y r gig lr b vlc y f vlc r. Exli r r vlc ll vr rl, i Ui S, r, iclig Alk Hii, v m civ vlc.

More information

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR) W LOOWY (LOMR) RVRWLK PKWY ROK HLL, S PPROX. LOOWY W BS LOO (LOMR) lient nformation 4 SS- RM:4 V : PV Pipe V OU: PV Pipe JB SS- RM: V OU: PV Pipe RU R " PV Pipe @. LO SPS OL SSBL GRL ORMO: S OS: M BS LOO

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

DIFFERENCE EQUATIONS

DIFFERENCE EQUATIONS DIFFERECE EQUATIOS Lier Cos-Coeffiie Differee Eqios Differee Eqios I disree-ime ssems, esseil feres of ip d op sigls pper ol speifi iss of ime, d he m o e defied ewee disree ime seps or he m e os. These

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

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

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

More information

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

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

Dec. 3rd Fall 2012 Dec. 31st Dec. 16th UVC International Jan 6th 2013 Dec. 22nd-Jan 6th VDP Cancun News

Dec. 3rd Fall 2012 Dec. 31st Dec. 16th UVC International Jan 6th 2013 Dec. 22nd-Jan 6th VDP Cancun News Fll 2012 C N P D V Lk Exii Aii Or Bifl Rr! Pri Dk W ri k fr r f rr. Ti iq fr ill fr r ri ir. Ii rlxi ill fl f ir rr r - i i ri r l ll! Or k i l rf fr r r i r x, ri ir i ir l. T i r r Cri r i l ill rr i

More information

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015

Gavilan JCCD Trustee Areas Plan Adopted October 13, 2015 S Jos Gvil JCCD Trust Ar Pl Aopt Octobr, 0 p Lrs Pl Aopt Oct, 0 Cit/Csus Dsigt Plc ighw US 0 Cit Arom ollistr igmr S Jos Trs Pios cr Ps 4 ut S Bito ut 0 0 ils Arom ollistr igmr Trs Pios 7 S Bito ut Lpoff

More information

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp Jourl o Al-Qus Op Uvrsy or Rsrch Sus - No.4 - Ocobr 8 Rrcs: - I. M. ALGHROUZ: A Nw Approch To Frcol Drvvs, J. AOU, V., 7, pp. 4-47 - K.S. Mllr: Drvvs o or orr: Mh M., V 68, 995 pp. 83-9. 3- I. PODLUBNY:

More information

ENJOY ALL OF YOUR SWEET MOMENTS NATURALLY

ENJOY ALL OF YOUR SWEET MOMENTS NATURALLY ENJOY ALL OF YOUR SWEET MOMENTS NATURALLY I T R Fily S U Wi Av I T R Mkr f Sr I T R L L All-Nrl Sr N Yrk, NY (Mr 202) Crl Pki Cr., kr f Sr I T R Svi I T R v x ll-rl I T R fily f r il Av I T R, 00% ri v

More information

Quantum Properties of Idealized GW Detector

Quantum Properties of Idealized GW Detector Qm Prors of Idlzd GW Dor Sg Pyo Km Ks N l Uvrsy Osk Uvrsy J 3 Th 4 h Kor-J Worksho o KAGRA Ol Idlzd Dor for Grvol Wvs Qm Thory for Dsso Wgr Fo of Tm-Dd Osllor Dmd Osllor Drv by Erl Fors Colso Idlzd Dor

More information

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

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

More information

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics)

Mathcad Lecture #4 In-class Worksheet Vectors and Matrices 1 (Basics) Mh Lr # In-l Workh Vor n Mri (Bi) h n o hi lr, o hol l o: r mri n or in Mh i mri prorm i mri mh oprion ol m o linr qion ing mri mh. Cring Mri Thr r rl o r mri. Th "Inr Mri" Wino (M) B K Poin Rr o

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

TABLE 3 - HOUSING MATERIAL TABLE 5 - MICRON CODE TABLE 1 - PRESSURE TABLE 2 - PORT SIZE, TYPE TABLE 4 - ELEMENT CODE TABLE 8 - ACCESSORIES

TABLE 3 - HOUSING MATERIAL TABLE 5 - MICRON CODE TABLE 1 - PRESSURE TABLE 2 - PORT SIZE, TYPE TABLE 4 - ELEMENT CODE TABLE 8 - ACCESSORIES SSMLY: XMPL: S RPLM LM: XMPL: 20 20 6 SL KI: KI - -- - XMPL: KI - -- - R R RWI RV. H SIZ 0 PM/ 00 SM SIZ L 2a - WL SPIIIO L - HOUSI MRIL L - MIRO O L - PRSSUR L 2 - POR SIZ, YP POR SIZ, PIP SOK/U LUMIUM

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

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

Global Solutions of the SKT Model in Population Dynamics

Global Solutions of the SKT Model in Population Dynamics Volm 7 No 7 499-5 ISSN: 3-88 rin rion; ISSN: 34-3395 on-lin rion rl: h://ijm ijm Glol Solion of h SK Mol in Polion Dnmi Rizg Hor n Mo Soilh USH El li Ezzor lgir lgri rizg@gmilom USH El li Ezzor lgir lgri

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

Chapter 5 Transient Analysis

Chapter 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 information

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

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

More information

Special Curves of 4D Galilean Space

Special Curves of 4D Galilean Space Irol Jourl of Mhml Egrg d S ISSN : 77-698 Volum Issu Mrh hp://www.jms.om/ hps://ss.googl.om/s/jmsjourl/ Spl Curvs of D ll Sp Mhm Bkş Mhmu Ergü Alpr Osm Öğrmş Fır Uvrsy Fuly of S Dprm of Mhms 9 Elzığ Türky

More information

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co

More information

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas

Using the Printable Sticker Function. Using the Edit Screen. Computer. Tablet. ScanNCutCanvas SnNCutCnvs Using th Printl Stikr Funtion On-o--kin stikrs n sily rt y using your inkjt printr n th Dirt Cut untion o th SnNCut mhin. For inormtion on si oprtions o th SnNCutCnvs, rr to th Hlp. To viw th

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018 CSE 373: Mor on grphs; DFS n BFS Mihl L Wnsy, F 14, 2018 1 Wrmup Wrmup: Disuss with your nighor: Rmin your nighor: wht is simpl grph? Suppos w hv simpl, irt grph with x nos. Wht is th mximum numr of gs

More information

Root behavior in fall and spring planted roses...

Root behavior in fall and spring planted roses... Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional

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

BMM3553 Mechanical Vibrations

BMM3553 Mechanical Vibrations BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy

More information

1 Introduction to Modulo 7 Arithmetic

1 Introduction to Modulo 7 Arithmetic 1 Introution to Moulo 7 Arithmti Bor w try our hn t solvin som hr Moulr KnKns, lt s tk los look t on moulr rithmti, mo 7 rithmti. You ll s in this sminr tht rithmti moulo prim is quit irnt rom th ons w

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

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1. Why th Juntion Tr lgorithm? Th Juntion Tr lgorithm hris Willims 1 Shool of Informtis, Univrsity of Einurgh Otor 2009 Th JT is gnrl-purpos lgorithm for omputing (onitionl) mrginls on grphs. It os this y

More information

Maturity in Christ. The. Rock

Maturity in Christ. The. Rock M i C T Rk J 2014 Gi k l f Si Rir Fr Rr Mr fil... Hr, Kll C S r f Si Rir i i r fr H i 2002. Hr Kll Rkll S O i Clr Lk r fr 23 r. T r l i rfl. C ill Jir S ill Fr R Rk Hi Sl x r. T r il i Al Y Miir. Hr rk

More information

82A Engineering Mathematics

82A Engineering Mathematics Class Nos 5: Sod Ordr Diffrial Eqaio No Homoos 8A Eiri Mahmais Sod Ordr Liar Diffrial Eqaios Homoos & No Homoos v q Homoos No-homoos q ar iv oios fios o h o irval I Sod Ordr Liar Diffrial Eqaios Homoos

More information

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem

Thermal Stresses of Semi-Infinite Annular Beam: Direct Problem iol ol o L choloy i Eii M & Alid Scic LEMAS Vol V Fy 8 SSN 78-54 hl S o Si-ii Al B: Dic Pol Viv Fl M. S. Wh d N. W. hod 3 D o Mhic Godw Uiviy Gdchioli M.S di D o Mhic Svody Mhvidyly Sidwhi M.S di 3 D o

More information

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

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 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 information

MEDWAY SPORTS DEVELOPMENT

MEDWAY SPORTS DEVELOPMENT PB 2:L 1 13:36 P 1 MEDWAY SPTS DEVELPMENT.m.v./vlm A i 11 Bfil Sl i P-16 FE C? D v i i? T l i i S Li Pmm? B fi Ti iq l vlm mm ill l vl fi, mivi ill vii flli ii: l Nm S l : W Tm li ii (ili m fi i) j l i?

More information

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11

, R we have. x x. ) 1 x. R and is a positive bounded. det. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:10 No:06 11 raioal Joral of asic & ppli Scics JS-JENS Vol: No:6 So Dirichl ors a Pso Diffrial Opraors wih Coiioall Epoial Cov cio aa. M. Kail Dpar of Mahaics; acl of Scic; Ki laziz Uivrsi Jah Sai raia Eail: fkail@ka..sa

More information

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai Clssil Thoy o Foi Sis : Dmystii Glis VIVEK V RANE Th Istitt o Si 5 Mm Cm Ro Mmbi-4 3 -mil ss : v_v_@yhoooi Abstt : Fo Rim itgbl tio o itvl o poit thi w i Foi Sis t th poit o th itvl big ot how wh th tio

More information

BULLETIN THE BULLETIN OCTOBER VICTOR VALLEY NEWSLETTER OF MINERAL CLUB GEM AND THE PH. (760) TOR VALLEY GEM & MINERAL

BULLETIN THE BULLETIN OCTOBER VICTOR VALLEY NEWSLETTER OF MINERAL CLUB GEM AND THE PH. (760) TOR VALLEY GEM & MINERAL S il M il S Vi Vll G & Mil Cl 15056-B Sv S Vivill, CA 92395-3811. BULLETIN i i i l l l li VICTOR VALLEY GEM & MINERAL CLUB i i i g. V i x i ī l i i BULLETIN il l VIC- TOR VALLEY GEM & MINERAL CLUB. R i

More information

Madad Khan, Saima Anis and Faisal Department of Mathematics, COMSATS Institute of Information Technology, Abbottabad, Pakistan

Madad Khan, Saima Anis and Faisal Department of Mathematics, COMSATS Institute of Information Technology, Abbottabad, Pakistan Rsr Jorl o Ali is Eiri Tolo 68: 326-334 203 IN: 2040-7459; -IN: 2040-7467 Mwll itii Oritio 203 itt: M 04 202 At: Frr 0 203 Plis: Jl 0 203 O F- -ils o -Al-Grss's Groois M K i Ais Fisl Drtt o Mttis COMAT

More information

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983).

Overview. Splay trees. Balanced binary search trees. Inge Li Gørtz. Self-adjusting BST (Sleator-Tarjan 1983). Ovrvw B r rh r: R-k r -3-4 r 00 Ig L Gør Amor Dm rogrmmg Nwork fow Srg mhg Srg g Comuo gomr Irouo o NP-om Rom gorhm B r rh r -3-4 r Aow,, or 3 k r o Prf Evr h from roo o f h m gh mr h E w E R E R rgr h

More information

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q. LASS XII Q Evlut : Q sc Evlut c Q Evlut: ( ) Q Evlut: Q5 α Evlut: α Q Evlut: Q7 Evlut: { t (t sc )} / Q8 Evlut : ( )( ) Q9 Evlut: Q0 Evlut: Q Evlut : ( ) ( ) Q Evlut : / ( ) Q Evlut: / ( ) Q Evlut : )

More information

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR

DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Bllei UASVM, Horilre 65(/008 pissn 1843-554; eissn 1843-5394 DERIVING THE DEMAND CURVE ASSUMING THAT THE MARGINAL UTILITY FUNCTIONS ARE LINEAR Crii C. MERCE Uiveriy of Agrilrl iee d Veeriry Mediie Clj-Npo,

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

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

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management nrl tr T is init st o on or mor nos suh tht thr is on sint no r, ll th root o T, n th rminin nos r prtition into n isjoint susts T, T,, T n, h o whih is tr, n whos roots r, r,, r n, rsptivly, r hilrn o

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

Preliminary Concept 3

Preliminary Concept 3 Pmy op 1 m TAB L Los- 933 W V B V B S Uvsy H Pb So H so S E sowexpy Mo S SALE N FEET Lo- Ws Loop Ao Boy Smo S 913 V B (Rs) UPS So - UPPA H A & Ds Gy Po S Ps Wwy Pov Two Ls o So-o-Ws Rmp Os Pv Lo H ommos

More information

BENEFITS OF COMPLETING COLLEGE Lesson Plan #3

BENEFITS OF COMPLETING COLLEGE Lesson Plan #3 BENEFITS OF COMPLETING COLLEGE L Pl #3 Til: Bi Cli Cll: Ci, Srr S Sl Pr: ( y l, r i i i r/rril) S ill lr rl vl bi y ill i r bii ry i. Lri O(): ( ill b bl /k by l) S ill r bii ry i bi ir rl l liyl. Ti ill

More information

THIS PAGE DECLASSIFIED IAW EO 12958

THIS PAGE DECLASSIFIED IAW EO 12958 THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW EO 2958 THIS PAGE DECLASSIFIED IAW E0 2958 S T T T I R F R S T Exhb e 3 9 ( 66 h Bm dn ) c f o 6 8 b o d o L) B C = 6 h oup C L) TO d 8 f f

More information

The Licking County Health Department 675 Price Rd., Newark, OH (740)

The Licking County Health Department 675 Price Rd., Newark, OH (740) T Liki y Drm 675 Pri R. Nrk O 43055 (740) 349-6535.Liki.r @iki.r A R r # W Ar Pbi Amim i Liki y : U P Sri m LD ff i ri fr fbk iify ri f Br i y fr r mmi P. Imrvm R. J b R.S. M.S. M.B.A. Liki y r mmii m

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information

page 11 equation (1.2-10c), break the bar over the right side in the middle

page 11 equation (1.2-10c), break the bar over the right side in the middle I. Corrctios Lst Updtd: Ju 00 Complx Vrils with Applictios, 3 rd ditio, A. Dvid Wusch First Pritig. A ook ought for My 007 will proly first pritig With Thks to Christi Hos of Swd pg qutio (.-0c), rk th

More information

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst

More information

Signals & Systems - Chapter 3

Signals & Systems - Chapter 3 .EgrCS.cm, i Sigls d Sysms pg 9 Sigls & Sysms - Chpr S. Ciuus-im pridic sigl is rl vlud d hs fudml prid 8. h zr Furir sris cfficis r -, - *. Eprss i h m. cs A φ Slui: 8cs cs 8 8si cs si cs Eulrs Apply

More information

CSE 421 Algorithms. Warmup. Dijkstra s Algorithm. Single Source Shortest Path Problem. Construct Shortest Path Tree from s

CSE 421 Algorithms. Warmup. Dijkstra s Algorithm. Single Source Shortest Path Problem. Construct Shortest Path Tree from s CSE Alorihm Rihr Anron Dijkr lorihm Sinl Sor Shor Ph Prolm Gin rph n r r Drmin in o ry r rom Iniy hor ph o h r Epr onily hor ph r Eh r h poinr o pror on hor ph Conr Shor Ph Tr rom Wrmp - - I P i hor ph

More information

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura Moul grph.py CS 231 Nomi Nishimur 1 Introution Just lik th Python list n th Python itionry provi wys of storing, ssing, n moifying t, grph n viw s wy of storing, ssing, n moifying t. Bus Python os not

More information

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören ME 522 PINCIPLES OF OBOTICS FIST MIDTEM EXAMINATION April 9, 202 Nm Lst Nm M. Kml Özgörn 2 4 60 40 40 0 80 250 USEFUL FOMULAS cos( ) cos cos sin sin sin( ) sin cos cos sin sin y/ r, cos x/ r, r 0 tn 2(

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

Chapter 7 INTEGRAL EQUATIONS

Chapter 7 INTEGRAL EQUATIONS hpr 7 INTERAL EQUATIONS hpr 7 INTERAL EQUATIONS hpr 7 Igrl Eqios 7. Normd Vcor Spcs. Eclidi vcor spc. Vcor spc o coios cios ( ) 3. Vcor Spc L ( ) 4. chy-byowsi iqliy 5. iowsi iqliy 7. Lir Oprors - coios

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

". :'=: "t',.4 :; :::-':7'- --,r. "c:"" --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'.

. :'=: t',.4 :; :::-':7'- --,r. c: --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'. = 47 \ \ L 3L f \ / \ L \ \ j \ \ 6! \ j \ / w j / \ \ 4 / N L5 Dm94 O6zq 9 qmn j!!! j 3DLLE N f 3LLE Of ADL!N RALROAD ORAL OR AL AOAON N 5 5 D D 9 94 4 E ROL 2LL RLLAY RL AY 3 ER OLLL 832 876 8 76 L A

More information

Air Filter 90-AF30 to 90-AF60

Air Filter 90-AF30 to 90-AF60 Ai il -A o -A6 Ho o Od A /Smi-sndd: Sl on h fo o. /Smi-sndd symol: Whn mo hn on spifiion is uid, indi in lphnumi od. Exmpl) -A-- Sis ompil ih sondy is Mil siion Smi-sndd Thd yp Po siz Mouning lo diion

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

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS C 24 - COMBINATIONAL BUILDING BLOCKS - INVST 3 DCODS AND NCODS FALL 23 AP FLZ To o "wll" on this invstition you must not only t th riht nswrs ut must lso o nt, omplt n onis writups tht mk ovious wht h

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

Beechwood Music Department Staff

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

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

Chapter 1 Fundamentals in Elasticity

Chapter 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 information

Approximately Inner Two-parameter C0

Approximately Inner Two-parameter C0 urli Jourl of ic d pplid Scic, 5(9: 0-6, 0 ISSN 99-878 pproximly Ir Two-prmr C0 -group of Tor Produc of C -lgr R. zri,. Nikm, M. Hi Dprm of Mmic, Md rc, Ilmic zd Uivriy, P.O.ox 4-975, Md, Ir. rc: I i ppr,

More information

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the

More information

THE MIDWAY & GAMES GRADE 6 STEM STEP BY STEP POTENTIAL & KINETIC ENERGY MOVE THE CROWDS

THE MIDWAY & GAMES GRADE 6 STEM STEP BY STEP POTENTIAL & KINETIC ENERGY MOVE THE CROWDS THE MIDWAY & GAMES GRADE 6 STEP BY STEP POTENTIAL & KINETIC ENERGY MOVE THE CROWDS & G S S Pl & K E Mv C I l ll l M T x Tx, F S T NERGY! k E? All x Exl M l l Wl k, v k W, M? j I ll xl l k M D M I l k,

More information

Software 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

Software 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 information

THIS PAGE DECLASSIFIED IAW EO 12958

THIS PAGE DECLASSIFIED IAW EO 12958 L " ^ \ : / 4 a " G E G + : C 4 w i V T / J ` { } ( : f c : < J ; G L ( Y e < + a : v! { : [ y v : ; a G : : : S 4 ; l J / \ l " ` : 5 L " 7 F } ` " x l } l i > G < Y / : 7 7 \ a? / c = l L i L l / c f

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

HPLC/UHPLC Columns. Limit 5 columns per company. Excludes guard columns. Offer applies to columns with 4.6 mm ID. Specialty LC Columns

HPLC/UHPLC Columns. Limit 5 columns per company. Excludes guard columns. Offer applies to columns with 4.6 mm ID. Specialty LC Columns Clb Y-E wi Billi Svigs! Expis: Db 15, 2017 Mi ff : CYP17 G FREE Lii Eii Gl Nbi! w lb f g i is s i b N vy s l i O G 3 i ip i P. y lb. p ll g li l REE p F ii iv i li 0 ly 10 y B y! j f g i p Nbis p i y b

More information

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information