Quadratic Fluency DA Functions as Non-uniform Sampling Functions for Interpolating Sampled-values

Size: px
Start display at page:

Download "Quadratic Fluency DA Functions as Non-uniform Sampling Functions for Interpolating Sampled-values"

Transcription

1 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri Quri Flueny DA Funion Non-unifor Spling Funion for Inerpoling Sple-vlue KAZUKI KATAGISHI KENICHI IKEDA MITSUTERU NAKAMURA KAZUO TORAICHI YASUHIRO OHMIYA HITOMI MURAKAMI Grue Shool of Sye n Inforion Engineering Univeriy of Tuu Tennoui -- Tuu-hi Iri - JAPAN gii@uujp {ie nur yohiy}@wlriuujp hp:wwwwlriuujpinex-ehl Flueny R&D Lorory Univeriy of Tuu Tennoui -- Tuu-hi Iri - JAPAN orihi@iluujp hp:wwwwlriuujpinex-ehl Fuly of Siene n Tehnology Seiei Univeriy -- Kihijoji-ihi Muhino-hi Toyo - JAPAN hi-uri@eieijp Ar: - Inerpolion for ple-vlue wih non-unifor pling poin i require for vriou e of ignl proeing In uh e pling funion re ueful o inerpole ple-vlue n hen o genere ignl liner oinion of he pling i weighe y equene of he ple-vlue Thi pper propoe pling funion for non-unifor pling poin eh of whih i opoe wih pieewie polynoil of egree We ne he pling funion he flueny DA funion of egree The flueny DA funion genere ooh n unule ignl fro equene of ple-vlue Key-Wor: - Flueny inforion heory Flueny DA funion Inerpolion Non-unifor pling funion Pieewie polynoil Inrouion Muliei uh uio ill ige n vieo whih exi in he rel worl i generlly ree nlog ignl In orer o re he nlog ignl in he opuer worl hey u e onvere ino igil ignl The igil ignl re onvere ino nlog ignl n hen originl uliei i reproue Therefore oh of nlog-o-igilad onverer n igil-o-nlogda one ply iporn role in ignl proeing In he onvenionl ignl nlyi n proeing Inforion Couniion n TehnologieICT uh AD n DA ehnologie hve een eigne in he nlyi funion pe S upe of ypil Hiler pe L where L i he pe pnne y qure inegrle funion Shnnon unifor pling heore whih gurnee ioorphi eween n-liie nlog ignl pe n igil ignl one of equene of ple-vlue i well-nown n i lo oniere in he nlyi funion pe S One of uhor propoe n elihe Flueny Inforion Theory h generlize Shnnon pling heore The Flueny Inforion Theory e ignl nlyi n proeing re oniere in he ul pe for he funion pe pnne y pieewie polynoil Thi pper propoe pling funion for non-unifor pling poin eh of whih i opoe wih pieewie polynoil of egree ISSN: 9- Iue Volue Jnury 9

2 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri We ne he pling funion he flueny DA funion of egree The flueny DA funion re eigne e on geoeri rierion of urve The flueny DA funion genere ooh n unule ignl fro equene of ple-vlue Preliinrie Signl Spe D opoe of Pieewie Polynoil of Degree - In he onvenionl ignl nlyi n proeing Inforion Couniion n TehnologieICT uh AD n DA ehnologie hve een eigne in he nlyi funion pe S upe of ypil Hiler pe L where L i he ignl pe pnne y qure inegrle funion Dir el funion hve een ofen ue in ing iuion on ioorphi propery eween nlog ignl n igil one Moreover in n o funion hve een lo ue in DCT-e uliei oing lie JPEG n MPEG However hee funion for ignl nlyi n proeing o no elong o L So in reing hee in of funion i i neery o expn he onvenionl ignl pe L If X i funion pe we n efine i ul pe X o e he e of oninuou liner funion T fro X o R or C where R n C re he e of rel n oplex nuer repeively Suh pping heelve for nore liner pe uing he operor nor T up Tx x X x x If X Y hen Y X ine here re fewer oninuou funion on lrger funion pe Therefore highly rerie Shwrz funion pe S whih i he e of rpily ereing funion ie he funion x x ifying he n : following wo oniion for eh n <> li x n h very lrge ul pe The ul pe S for he Shwrz funion pe S i lrger hn L However he ul pe S i oo epere We inroue pproprie ignl pe D for he ignl nlyi whih i opoe of pieewie polynoil of egree - wih only - ie oninuou iffereniiliy in hi pper where { } In e of he ignl pe D i funion pe pnne y ioninuou funion In e of he ignl pe D i funion pe pnne y oninuou funion whih re no ifferenile I h een hown h he ignl pe D ienil wih n-liie funion pe whih i ree in he Shnnon unifor pling heore when he preer en o infiniy Be on hi f i ee poile o el wih pieewie polynoil funion pe n n-liie funion one unifie erie of ignl pe of whih hrerii vry wih he preer of egree of he polynoil Thi erie i fluen in he ene h we n hooe ignl pe ou of he erie whih he wih eh purpoe of ignl nlyi n proeing So i w ne flueny The ignl pe D D n D re ienil wih he e of ire polygonl n n-liie funion repeively The Flueny inforion heory-e ignl nlyi n proeing re oniere in he ul pe D for he ignl pe D The ul pe D onin rirry erivive of erin ioninuou funion Figure how ignl pe n i ul pe <> x C ISSN: 9- Iue Volue Jnury 9

3 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri L D S Signl pe S D L L ul pe for eh ignl pe Fig Signl pe n i ul pe The ignl pe D n i ul pe D re pproprie funion pe for ignl nlyi n proeing Le e pling poin hen he pling i in he ignl pe D i efine y he funion { DA ifying } u D u u DA Equion give repreenion forul liner oinion of he pling i in D weighe y equene of ple-vlue { u } We ne eh funion of he pling i DA he Flueny DA funion In e h he inervl eween jen pling poin i onn h i h h > pling funion in D re lle y unifor Flueny DA funion of egree - In e h he inervl i no onn hen hoe re lle y non-unifor Flueny DA funion of egree - in hi pper Coply Suppore Unifor Flueny DA funion of Degree We propoe n evelope n ipule repone h i uile for DVD-Auio wih xiu pling re of 9KHz I h een eigne in he ul pe D for he ignl pe D The ipule repone i opoe of he oply uppore unifor Flueny DA funion of egree Prilly DVD-Auio plyer equippe wih he Digil-o-Anlog onverer eigne y he unifor Flueny DA funion of egree hve een oerilize The wr hve een reeive There hve een ny ICT ppliion 9 eigne in he ignl pe D The quri unifor Flueny DA funion DA pling funion in he ignl pe D w eigne i ifie he following oniion <><><> n <> <> I i repreene y he liner oinion of quri B-pline funion <> I i only one ie oninuouly ifferenile <> I onverge o he lef n righ eon pling poin fro he origin h i h n h <> I e he vlue of he origin I e he vlue of pling poin ± h± h Le ϕ enoe he quri B-pline funion efine follow : inπfh j πf ϕ e f πfh The quri B-pline funion i expree y pieewie polynoil of egree Then he oply uppore unifor flueny DA funion of egree DA i repreene in he for of liner oinion of he funion ye { ϕ l } h l follow: h h φ h hφ φ h DA The DA funion w erive DA ISSN: 9- Iue Volue Jnury 9

4 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri DA h h h < h h h h < h h h h < h h h < h < h h h h < h h h h < h h h h < h oherwie Figure how he quri unifor Flueny DA funion DA Fig Quri unifor Flueny DA funion I i noe h he quri unifor Flueny DA funion DA i only one ie oninuouly ifferenile ± h ± h ± h ± h whih re onneing poin of eh pieewie polynoil The pling i { } DA in he ignl pe D re erive follow DA -h -h -h h h h Crierion for Deigning Coply Suppore Non-Unifor Flueny DA Funion Copoe of Quri Pieewie Polynoil Forulion of Coply Suppore Non-Unifor Flueny DA Funion of Degree The non-unifor Flueny DA funion of egree i eigne y expning he oply uppore unifor Flueny DA funion of egree A i uneroo fro Eq he unifor Flueny DA funion of egree h i DA n e generlly oniere o e opoe of pieewie polynoil in -h h We forule oply uppore non-unifor Flueny DA funion of egree y in hi pper The funion i eigne i ifie he following oniion < >< >< > n < > < > I i repreene y he liner oinion of quri pieewie polynoil < > I i only one ie oninuouly ifferenile < > I onverge o he lef n righ eon pling poin fro he origin h i n < > I e he vlue of he origin I e he vlue of pling poin Ting oun of he ove oniion < > n < > he funion n e forule ± DA DA Thu he ny ignl u in D i repreene y DA DA u D u u uh h ISSN: 9- Iue Volue Jnury 9

5 oherwie Figure how generl wvefor of he funion Fig Quri Non-unifor Flueny DA Funion Ting oun of he ove oniion < > he following relion re oine 9 Ting oun of he ove oniion < > he following relion re oine 9 Moreover fro Eq- he following iulneou equion Eq onerning o unnown preer n re erive WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri ISSN: 9-9 Iue Volue Jnury 9

6 The unnown preer n re oine y olving he ove iulneou equion Fro Eq n n re oine follow: 9 Fro Eq n n re oine follow: Fro Eq9 n n re oine follow: Fro Eq n n re oine follow: Fro Eq n n re oine follow: Fro Eq n n re oine follow: Fro Eq n n re oine follow: Fro Eq9 n n re oine follow: A he reul i ee h unnown preer n n e oien However preer n efine y Eq n repeively n e rirrily e I i noe h Eq h no een ue in he ove proee Thi en h he preer n re no inepenen By uiuing WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri ISSN: 9- Iue Volue Jnury 9

7 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri n for Eq he following relion i oine We onier rierion for eiing ny hree preer ou of n in he nex eion Crierion for eiing Coply Suppore Non-Unifor Flueny DA Funion of Degree We onier how i he oply uppore non-unifor Flueny DA funion of egree oine in he eion in e h he pling inervl i onn h i h A i uneroo fro Eq he quri unifor Flueny DA funion h he propery of DA So in eiing he funion he propery of i lo ue By pplying he propery n o Eq9 he following relion i oine Moreover for rirry ineger hol goo Fro Eq n he following relion 9 re erive Moreover y uing he propery h he quri unifor Flueny DA funion re yery h i DA DA he relion n hol goo When we pu he following relion i erive A he reul he quri unifor Flueny DA funion i @ oherwie Propoiion Uner he oniion of ± ± he quri non-unifor Flueny DA funion i ienil wih in he rierion of { } in DA Proof By uiuing of Eq for he relion { } he following relion {} { } { } { } { } { } { } { } { } 9 i oine A he reul he preer whih 9 iniize Eq i oine When we 9 uiue for of Eq he unifor Flueny DA funion of egree i ienil wih DA erie in ueion QED ISSN: 9- Iue Volue Jnury 9

8 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri A i erie in eion he oply uppore unifor Flueny DA funion of egree i ueful for genering nlog ignl oninuou ignl fro igil ignl iree ignl We ue he rierion of { } in o eign he oply uppore non-unifor Flueny DA funion of egree in hi pper Deign of Coply Suppore Non-Unifor Flueny DA Funion of Degree e on Geoeri Crierion of Wvefor In he previou eion he rierion for eigning non-unifor Flueny DA funion of egree i iue We ue he rierion of { } in ou of n o eie ny hree preer Non-Unifor Flueny DA Funion of Degree wih The non-unifor Flueny DA funion of egree i forule y in eion The preer n re no fixe So ing oun of he oniion he following relion re oine fro Eq The non-unifor Flueny DA funion of egree i reue y uiuing n of Eq for Eq9- follow } { { } oherwie A i uneroo fro Eq he preer n re no fixe Non-Unifor Flueny DA Funion of Degree wih n { } in The non-unifor Flueny DA funion of egree i eie y uing he rierion of { } in By uiuing Eq for { } we ge {} { } { } {} Be on he rierion of { } in he preer n re fixe follow: ISSN: 9- Iue Volue Jnury 9

9 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri Be on he geoeri rierion of wvefor ll of he four preer n re fixe fro Eq n Therefore he oply uppore non-unifor Flueny DA funion of egree i erive follow: { } { } oherwie Figure eonre he non-unifor Flueny DA Funion of egree for pling poin Sine he non-unifor Flueny DA funion of egree i oine in Eq he inerpolion of ny ignl u wih non-unifor pling poin D i lo forule in Fig An exple of he non-unifor flueny DA funion Propoiion Le DA enoe he non-unifor Flueny DA funion of egree eh non-unifor pling poin ± Then ny ignl u in D i expree DA u D u u where eh Flueny DA funion DA i expree y eigh quri pieewie polynoil follow l l } { { } oherwie ISSN: 9- Iue Volue Jnury 9

10 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri By uing Propoiion ny ignl u wih non-unifor pling poin in D e inerpole Figure eonre n inerpolion y uing Propoiion DA DA Inerpole ignl ple - 9 Fig Inerpolion y uing he non-unifor flueny DA funion Diuion Thi eion iue inerpolion reul y uing he non-unifor Flueny DA funion whih i erive in ueion In orer o evlue heir effeivene inerpolion reul y uing ui pline re lo eonre In he fiel of opuer grphi ui pline hve een ofen ue o inerpole equene of ple-vlue wih non-unifor pling poin Thi i eue ui pline u inerpole he ple-vlue wih he o ooh in he ene of { u } { u } DA { u } in The urve oohne { u } in Eq i n upper oun of qure of urve urvure Figure n eonre inerpolion reul for in of ep funion n for ypil e repeively Inerpole urve y uing he non-unifor Flueny DA funion re rwn wih DA oli line n hen hoe y uing ui pline re rwn wih oe line - propoe eho ui pline ple - - Fig Inerpolion reul for ep funion propoe eho ui pline ple Fig Inerpolion reul for ypil e A re uneroo fro hee reul we rw inerpole urve wih le overhoo or unerhoo Furherore we evlue he inerpole reul fro he view of urve lengh For fig he rio of urve lengh y ui pline o urve lengh y propoe eho i pproxiely 9 Furherore for fig he rio i pproxiely Fro hee reul inerpole urve y non-unifor flueny DA funion p hrough ple-vlue horer hn hoe y ui pline Conluion Thi pper propoe flueny DA funion pling funion for non-unifor pling poin 9 ISSN: 9- Iue Volue Jnury 9

11 WSEAS TRANSACTIONS on CIRCUITS n SYSTEMS Kzui Kgihi Kenihi Ie Miueru Nur Kzuo Torihi Yuhiro Ohiy Hioi Muri eh of whih i opoe wih pieewie polynoil of egree Eh of he w eigne e on geoeri rierion of urve The flueny DA funion of egree genere ooh n unule ignl fro equene of ple-vlue Anowlegeen Thi reerh w prilly uppore y he reerh fun of R&D uppor hee for funing elee IT propol fro he Nionl Iniue of Inforion n Couniion Tehnology NICT The uhor woul lie o nowlege here he orgnizion Referene: ET Whier On he Funion whih re repreene y he Expnion of he Inerpolion-Theory Pro Royl Soiey of Einurgh 9 pp-9 CE Shnnon Mheil Theory of Couniion Bell Sye Tehnil Journl Vol 9 pp 9- MK KTorihi n RMori Perioi pline orhogonl e J Approx Theory Vol 9 pp - KKgihi KTorihi M O n KW A pril le qure pproxiion e on iorhogonl expnion in he ignl pe of pieewie polynoil Trn IEE of Jpn Vol-C No 99 pp - KTorihi n M K A noe on onneion eween pline ignl pe n n-liie ignl pe Trn IEICE VolJ-A No9 99 pp - KTorihi n K Nur Spling Funion of Degree for DVD-Auio IEEJ Trn EIS Vol No pp 9-9 T Mooy T Kwe K Torihi n K Kgihi New Inegre Deign Approh of RHC wih Apive DA Converer WSEAS Trnion on Sye Iue Vol pp9-9 K Kgihi K Ie M Nur K Torihi Y Ohiy n H Muri Flueny DA Funion Non-unifor Spling Funion for Inerpoling Sple-vlue New Ape of Cirui Proeeing of he h WSEAS Inernionl Conferene on CIRCUITS Herlion Greee July - pp-9 9 M Nur Y Ohiy K K Kgihi Y Moroo K Torihi n H Muri A Seure Coing for Funion-Approxie Ige New Ape of Couniion Proeeing of he h WSEAS Inernionl Conferene on CIRCUITS Herlion Greee July - pp- M Higuhi S Kwi K Kgihi M Nur K Torihi n H Muri A Deign Meho of Nrrow Bn FIR Filer Be on Flueny Spling Funion Copuionl Engineering in Sye Appliion Selee Pper fro he WSEAS Conferene in Herlion Greee July - pp-9 IJShoenerg Conriuion o he prole of pproxiion of equiin y nlyi funion Qur Appl Mh Vol pr A 9 pp-99; pr B9 pp- IJShoenerg Crinl Spline Inerpolion Soiey of Aerin Mhei 9 ISSN: 9- Iue Volue Jnury 9

CSC 373: Algorithm Design and Analysis Lecture 9

CSC 373: Algorithm Design and Analysis Lecture 9 CSC 373: Algorihm Deign n Anlyi Leure 9 Alln Boroin Jnury 28, 2013 1 / 16 Leure 9: Announemen n Ouline Announemen Prolem e 1 ue hi Friy. Term Te 1 will e hel nex Mony, Fe in he uoril. Two nnounemen o follow

More information

Chapter Introduction. 2. Linear Combinations [4.1]

Chapter Introduction. 2. Linear Combinations [4.1] Chper 4 Inrouion Thi hper i ou generlizing he onep you lerne in hper o pe oher n hn R Mny opi in hi hper re heoreil n MATLAB will no e le o help you ou You will ee where MATLAB i ueful in hper 4 n how

More information

Solutions to assignment 3

Solutions to assignment 3 D Sruure n Algorihm FR 6. Informik Sner, Telikeplli WS 03/04 hp://www.mpi-.mpg.e/~ner/oure/lg03/inex.hml Soluion o ignmen 3 Exerie Arirge i he ue of irepnie in urreny exhnge re o rnform one uni of urreny

More information

Laplace Examples, Inverse, Rational Form

Laplace Examples, Inverse, Rational Form Lecure 3 Ouline: Lplce Exple, Invere, Rionl For Announceen: Rein: 6: Lplce Trnfor pp. 3-33, 55.5-56.5, 7 HW 8 poe, ue nex We. Free -y exenion OcenOne Roo Tour will e fer cl y 7 (:3-:) Lunch provie ferwr.

More information

International ejournals

International ejournals Avilble online ww.inernionlejournl.om Inernionl ejournl Inernionl Journl of Mhemil Siene, Tehnology nd Humniie 7 (0 8-8 The Mellin Type Inegrl Trnform (MTIT in he rnge (, Rmhndr M. Pie Deprmen of Mhemi,

More information

CS3510 Design & Analysis of Algorithms Fall 2017 Section A. Test 3 Solutions. Instructor: Richard Peng In class, Wednesday, Nov 15, 2017

CS3510 Design & Analysis of Algorithms Fall 2017 Section A. Test 3 Solutions. Instructor: Richard Peng In class, Wednesday, Nov 15, 2017 Uer ID (NOT he 9 igi numer): gurell4 CS351 Deign & Anlyi of Algorihm Fll 17 Seion A Te 3 Soluion Inruor: Rihr Peng In l, Weney, Nov 15, 17 Do no open hi quiz ookle unil you re iree o o o. Re ll he inruion

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

Graduate Algorithms CS F-18 Flow Networks

Graduate Algorithms CS F-18 Flow Networks Grue Algorihm CS673-2016F-18 Flow Nework Dvi Glle Deprmen of Compuer Siene Univeriy of Sn Frnio 18-0: Flow Nework Diree Grph G Eh ege weigh i piy Amoun of wer/eon h n flow hrough pipe, for inne Single

More information

Positive and negative solutions of a boundary value problem for a

Positive and negative solutions of a boundary value problem for a Invenion Journl of Reerch Technology in Engineering & Mngemen (IJRTEM) ISSN: 2455-3689 www.ijrem.com Volume 2 Iue 9 ǁ Sepemer 28 ǁ PP 73-83 Poiive nd negive oluion of oundry vlue prolem for frcionl, -difference

More information

Searching for a theoretical relation between reverberation and the scattering coefficients of surfaces in a room

Searching for a theoretical relation between reverberation and the scattering coefficients of surfaces in a room Proeeing of he Aoui 212 Nne Conferene 23-27 April 212, Nne, Frne erhing for heoreil relion eeen revererion n he ering oeffiien of urfe in room J-J Emreh Univeriy of Liege - Aoui Lo, Cmpu u r-tilmn, B28,

More information

Maximum Flow. Flow Graph

Maximum Flow. Flow Graph Mximum Flow Chper 26 Flow Grph A ommon enrio i o ue grph o repreen flow nework nd ue i o nwer queion ou meril flow Flow i he re h meril move hrough he nework Eh direed edge i ondui for he meril wih ome

More information

Released Assessment Questions, 2017 QUESTIONS

Released Assessment Questions, 2017 QUESTIONS Relese Assessmen Quesions, 17 QUESTIONS Gre 9 Assessmen of Mhemis Aemi Re he insruions elow. Along wih his ookle, mke sure ou hve he Answer Bookle n he Formul Shee. You m use n spe in his ook for rough

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

can be viewed as a generalized product, and one for which the product of f and g. That is, does

can be viewed as a generalized product, and one for which the product of f and g. That is, does Boyce/DiPrim 9 h e, Ch 6.6: The Convoluion Inegrl Elemenry Differenil Equion n Bounry Vlue Problem, 9 h eiion, by Willim E. Boyce n Richr C. DiPrim, 9 by John Wiley & Son, Inc. Someime i i poible o wrie

More information

ON DIFFERENTIATION OF A LEBESGUE INTEGRAL WITH RESPECT TO A PARAMETER

ON DIFFERENTIATION OF A LEBESGUE INTEGRAL WITH RESPECT TO A PARAMETER Mh. Appl. 1 (2012, 91 116 ON DIFFERENTIATION OF A LEBESGUE INTEGRAL WITH RESPECT TO A PARAMETER JIŘÍ ŠREMR Abr. The im of hi pper i o diu he bolue oninuiy of erin ompoie funion nd differeniion of Lebegue

More information

FM Applications of Integration 1.Centroid of Area

FM Applications of Integration 1.Centroid of Area FM Applicions of Inegrion.Cenroid of Are The cenroid of ody is is geomeric cenre. For n ojec mde of uniform meril, he cenroid coincides wih he poin which he ody cn e suppored in perfecly lnced se ie, is

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

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY VOL. 8, NO. 7, JULY 03 ISSN 89-6608 ARPN Jourl of Egieerig d Applied Sciece 006-03 Ai Reerch Publihig Nework (ARPN). All righ reerved. www.rpjourl.com SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO

More information

More on ODEs by Laplace Transforms October 30, 2017

More on ODEs by Laplace Transforms October 30, 2017 More on OE b Laplace Tranfor Ocober, 7 More on Ordinar ifferenial Equaion wih Laplace Tranfor Larr areo Mechanical Engineering 5 Seinar in Engineering nali Ocober, 7 Ouline Review la cla efiniion of Laplace

More information

A quarter-car suspension system: car body mass estimator and sliding mode control

A quarter-car suspension system: car body mass estimator and sliding mode control Aville online www.ieneire.o Proei Tehnology 7 ( 3 ) 8 4 The 3 Ieroerin Conerene on Eleroni Engineering n Coper Siene A qrer-r penion ye: r oy eior n liing oe onrol Ervin Alvre-Sánhe* Fl e Ingenierí Meáni

More information

Three Dimensional Coordinate Geometry

Three Dimensional Coordinate Geometry HKCWCC dvned evel Pure Mhs. / -D Co-Geomer Three Dimensionl Coordine Geomer. Coordine of Poin in Spe Z XOX, YOY nd ZOZ re he oordine-es. P,, is poin on he oordine plne nd is lled ordered riple. P,, X Y

More information

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa

Characteristic Function for the Truncated Triangular Distribution., Myron Katzoff and Rahul A. Parsa Secion on Survey Reserch Mehos JSM 009 Chrcerisic Funcion for he Trunce Tringulr Disriuion Jy J. Kim 1 1, Myron Kzoff n Rhul A. Prs 1 Nionl Cener for Helh Sisics, 11Toleo Ro, Hysville, MD. 078 College

More information

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review Secion P Noe Pge Secion P Preclculu nd Trigonomer Review ALGEBRA AND PRECALCULUS Eponen Lw: Emple: 8 Emple: Emple: Emple: b b Emple: 9 EXAMPLE: Simplif: nd wrie wi poiive eponen Fir I will flip e frcion

More information

1 The Network Flow Problem

1 The Network Flow Problem 5-5/65: Deign & Anlyi of Algorihm Ooer 5, 05 Leure #0: Nework Flow I l hnged: Ooer 5, 05 In hee nex wo leure we re going o lk ou n imporn lgorihmi prolem lled he Nework Flow Prolem. Nework flow i imporn

More information

Lecture 2: Network Flow. c 14

Lecture 2: Network Flow. c 14 Comp 260: Avne Algorihms Tufs Universiy, Spring 2016 Prof. Lenore Cowen Srie: Alexner LeNil Leure 2: Nework Flow 1 Flow Neworks s 16 12 13 10 4 20 14 4 Imgine some nework of pipes whih rry wer, represene

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

Chapter Direct Method of Interpolation

Chapter Direct Method of Interpolation Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o

More information

Algorithmic Discrete Mathematics 6. Exercise Sheet

Algorithmic Discrete Mathematics 6. Exercise Sheet Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap

More information

Analysis of Members with Axial Loads and Moments. (Length effects Disregarded, Short Column )

Analysis of Members with Axial Loads and Moments. (Length effects Disregarded, Short Column ) Analyi o emer wih Axial Loa an omen (Lengh ee Diregare, Shor Column ) A. Reaing Aignmen Chaper 9 o ex Chaper 10 o ACI B. reenaion o he INTERACTION DIAGRA or FAILURE ENVELO We have een ha a given eion an

More information

June Further Pure Mathematics FP2 Mark Scheme

June Further Pure Mathematics FP2 Mark Scheme Jne 75 Frher Pre Mheis FP Mrk Shee. e e e e 5 e e 7 M: Siplify o for qri in e ( e )(e 7) e, e 7 M: Solve er qri. ln or ln ln 7 B M A M A A () Mrks. () Using ( e ) or eqiv. o fin e or e: ( = n = ) M A e

More information

Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics Journl of Compuionl n Applie Mhemis 245 (23) 82 93 Conens liss ville SiVerse SieneDire Journl of Compuionl n Applie Mhemis journl homepge: www.elsevier.om/loe/m On exponenil men-squre siliy of wo-sep Mruym

More information

Bisimulation, Games & Hennessy Milner logic p.1/32

Bisimulation, Games & Hennessy Milner logic p.1/32 Clil lnguge heory Biimulion, Gme & Henney Milner logi Leure 1 of Modelli Memii dei Proei Conorreni Pweł Sooińki Univeriy of Souhmon, UK I onerned rimrily wih lnguge, eg finie uom regulr lnguge; uhdown

More information

Cylindrically Symmetric Marder Universe and Its Proper Teleparallel Homothetic Motions

Cylindrically Symmetric Marder Universe and Its Proper Teleparallel Homothetic Motions J. Bsi. Appl. i. Res. 4-5 4 4 TeRod Publiion IN 9-44 Journl of Bsi nd Applied ienifi Reserh www.erod.om Clindrill mmeri Mrder Universe nd Is Proper Teleprllel Homohei Moions Amjd Ali * Anwr Ali uhil Khn

More information

Weighted Inequalities for Riemann-Stieltjes Integrals

Weighted Inequalities for Riemann-Stieltjes Integrals Aville hp://pvm.e/m Appl. Appl. Mh. ISSN: 93-9466 ol. Ie Decemer 06 pp. 856-874 Applicion n Applie Mhemic: An Inernionl Jornl AAM Weighe Ineqliie or Riemnn-Sielje Inegrl Hüeyin Bk n Mehme Zeki Sriky Deprmen

More information

Design of Controller for Robot Position Control

Design of Controller for Robot Position Control eign of Conroller for Robo oiion Conrol Two imporan goal of conrol: 1. Reference inpu racking: The oupu mu follow he reference inpu rajecory a quickly a poible. Se-poin racking: Tracking when he reference

More information

Direct Sequence Spread Spectrum II

Direct Sequence Spread Spectrum II DS-SS II 7. Dire Sequene Spread Speru II ER One igh hink ha DS-SS would have he following drawak. Sine he RF andwidh i ie ha needed for a narrowand PSK ignal a he ae daa rae R, here will e ie a uh noie

More information

ON A METHOD FOR FINDING THE NUMERICAL SOLUTION OF CAUCHY PROBLEM FOR 2D BURGERS EQUATION

ON A METHOD FOR FINDING THE NUMERICAL SOLUTION OF CAUCHY PROBLEM FOR 2D BURGERS EQUATION Europen Sienifi Journl Augus 05 /SPECIAL/ eiion ISSN: 857 788 Prin e - ISSN 857-743 ON A MEHOD FOR FINDING HE NUMERICAL SOLUION OF CAUCHY PROBLEM FOR D BURGERS EQUAION Mir Rsulo Prof. Been Uniersi Deprmen

More information

8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1

8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1 8. a For ep repone, inpu i u, U Y a U α α Y a α α Taking invere Laplae ranform a α e e / α / α A α 0 a δ 0 e / α a δ deal repone, α d Y i Gi U i δ Hene a α 0 a i For ramp repone, inpu i u, U Soluion anual

More information

Mathematics 805 Final Examination Answers

Mathematics 805 Final Examination Answers . 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual

More information

Interval Oscillation of Nonlinear Differential Equation with Damped Term

Interval Oscillation of Nonlinear Differential Equation with Damped Term Communiion in Informion Siene nd Mngemen Engineering Mr, Vo I, PP 7-4 Inerv Oiion of Noniner Differeni Equion wih Dmped Term Yun-Hui Zeng Deprmen of Mhemi nd Compuion Siene, Hengyng Norm Univeriy,Hunn,

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2 ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen

More information

Chapter 9 - The Laplace Transform

Chapter 9 - The Laplace Transform Chaper 9 - The Laplace Tranform Selece Soluion. Skech he pole-zero plo an region of convergence (if i exi) for hee ignal. ω [] () 8 (a) x e u = 8 ROC σ ( ) 3 (b) x e co π u ω [] ( ) () (c) x e u e u ROC

More information

Approximation of continuous-time systems with discrete-time systems

Approximation of continuous-time systems with discrete-time systems Approximtion of continuou-time ytem with icrete-time ytem he continuou-time ytem re replce by icrete-time ytem even for the proceing of continuou-time ignl.. Impule invrince metho 2. Step invrince metho

More information

Classification of Equations Characteristics

Classification of Equations Characteristics Clssiiion o Eqions Cheisis Consie n elemen o li moing in wo imensionl spe enoe s poin P elow. The ph o P is inie he line. The posiion ile is s so h n inemenl isne long is s. Le he goening eqions e epesene

More information

Flow Networks Alon Efrat Slides courtesy of Charles Leiserson with small changes by Carola Wenk. Flow networks. Flow networks CS 445

Flow Networks Alon Efrat Slides courtesy of Charles Leiserson with small changes by Carola Wenk. Flow networks. Flow networks CS 445 CS 445 Flow Nework lon Efr Slide corey of Chrle Leieron wih mll chnge by Crol Wenk Flow nework Definiion. flow nework i direced grph G = (V, E) wih wo diingihed erice: orce nd ink. Ech edge (, ) E h nonnegie

More information

The stress transfer calculations presented in the main text reports only our preferred

The 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 information

12. Nyquist Sampling, Pulse-Amplitude Modulation, and Time- Division Multiplexing

12. Nyquist Sampling, Pulse-Amplitude Modulation, and Time- Division Multiplexing Nyqui Sapling, Pule-Apliude Modulaion, and Tie Diviion Muliplexing on Mac 2. Nyqui Sapling, Pule-Apliude Modulaion, and Tie- Diviion Muliplexing Many analogue counicaion ye are ill in wide ue oday. Thee

More information

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals Sud. Univ. Beş-Bolyi Mh. 6(5, No. 3, 355 366 Hermie-Hdmrd-Fejér ype inequliies for convex funcions vi frcionl inegrls İmd İşcn Asrc. In his pper, firsly we hve eslished Hermie Hdmrd-Fejér inequliy for

More information

The Hermite-Hadamard's inequality for some convex functions via fractional integrals and related results

The Hermite-Hadamard's inequality for some convex functions via fractional integrals and related results AMSI 4 No 69 The Herie-Hdrd' ineliy or oe conve ncion vi rcionl inegrl nd reled rel E SET M Z SARIKAYA M E ÖZDEMIR AND H YILDIRIM Arc In hi pper we elih Herie-Hdrd ype ineliie or conve ncion in he econd

More information

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow. CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex

More information

The realization of low order FSM method and its application Jiai He1,a, Xiangyang Liu1,b, Chengquan Pei2,3,c

The realization of low order FSM method and its application Jiai He1,a, Xiangyang Liu1,b, Chengquan Pei2,3,c 3rd Inernionl Conferene on Mhinery, Meril nd Informion ehnology ppliion (ICMMI 05 he relizion of low order FSM mehod nd i ppliion Jii He,, Xingyng Liu,b, Chengqun Pei,3, Shool of Compuer nd Communiion,

More information

A LOG IS AN EXPONENT.

A LOG IS AN EXPONENT. Ojeives: n nlze nd inerpre he ehvior of rihmi funions, inluding end ehvior nd smpoes. n solve rihmi equions nlill nd grphill. n grph rihmi funions. n deermine he domin nd rnge of rihmi funions. n deermine

More information

2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L )

2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L ) Scholrs Journl of Engineering d Technology SJET) Sch. J. Eng. Tech., ; A):8-6 Scholrs Acdemic d Scienific Publisher An Inernionl Publisher for Acdemic d Scienific Resources) www.sspublisher.com ISSN -X

More information

DC Miniature Solenoids KLM Varioline

DC Miniature Solenoids KLM Varioline DC Miniure Solenoi KLM Vrioline DC Miniure Solenoi Type KLM Deign: Single roke olenoi pulling n puhing, oule roke n invere roke ype. Snr: Zinc ple (opionl: pine / nickel ple) Fixing: Cenrl or flnge mouning.

More information

( ) ( ) ( ) ( ) ( ) ( y )

( ) ( ) ( ) ( ) ( ) ( y ) 8. Lengh of Plne Curve The mos fmous heorem in ll of mhemics is he Pyhgoren Theorem. I s formulion s he disnce formul is used o find he lenghs of line segmens in he coordine plne. In his secion you ll

More information

On Hadamard and Fejér-Hadamard inequalities for Caputo k-fractional derivatives

On Hadamard and Fejér-Hadamard inequalities for Caputo k-fractional derivatives In J Nonliner Anl Appl 9 8 No, 69-8 ISSN: 8-68 elecronic hp://dxdoiorg/75/ijn8745 On Hdmrd nd Fejér-Hdmrd inequliies for Cpuo -frcionl derivives Ghulm Frid, Anum Jved Deprmen of Mhemics, COMSATS Universiy

More information

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704 Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 4, 7 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion

More information

X-Ray Notes, Part III

X-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 information

4. UNBALANCED 3 FAULTS

4. UNBALANCED 3 FAULTS 4. UNBALANCED AULTS So fr: we hve tudied lned fult ut unlned fult re more ommon. Need: to nlye unlned ytem. Could: nlye three-wire ytem V n V n V n Mot ommon fult type = ingle-phe to ground i.e. write

More information

Chapter Three Systems of Linear Differential Equations

Chapter Three Systems of Linear Differential Equations Chaper Three Sysems of Linear Differenial Equaions In his chaper we are going o consier sysems of firs orer orinary ifferenial equaions. These are sysems of he form x a x a x a n x n x a x a x a n x n

More information

Transformations. Ordered set of numbers: (1,2,3,4) Example: (x,y,z) coordinates of pt in space. Vectors

Transformations. Ordered set of numbers: (1,2,3,4) Example: (x,y,z) coordinates of pt in space. Vectors Trnformion Ordered e of number:,,,4 Emple:,,z coordine of p in pce. Vecor If, n i i, K, n, i uni ecor Vecor ddiion +w, +, +, + V+w w Sclr roduc,, Inner do roduc α w. w +,.,. The inner produc i SCLR!. w,.,

More information

two values, false and true used in mathematical logic, and to two voltage levels, LOW and HIGH used in switching circuits.

two values, false and true used in mathematical logic, and to two voltage levels, LOW and HIGH used in switching circuits. Digil Logi/Design. L. 3 Mrh 2, 26 3 Logi Ges nd Boolen Alger 3. CMOS Tehnology Digil devises re predominnly mnufured in he Complemenry-Mel-Oide-Semionduor (CMOS) ehnology. Two ypes of swihes, s disussed

More information

Dynamic Response of an Active Filter Using a Generalized Nonactive Power Theory

Dynamic Response of an Active Filter Using a Generalized Nonactive Power Theory Dynmi Repone of n Aive Filer Uing Generlized Nonive Power heory Yn Xu Leon M. olber John N. Chion Fng Z. Peng yxu3@uk.edu olber@uk.edu hion@uk.edu fzpeng@mu.edu he Univeriy of enneee Mihign Se Univeriy

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

Signal and zero padding to improve parameters estimation of sinusoidal signals in the frequency domain

Signal and zero padding to improve parameters estimation of sinusoidal signals in the frequency domain CT IEKO IN: 87X Noveer 6, Volue 5, Nuer, 47 54 ignl nd zero pdding o iprove preers esiion o sinusoidl signls in he requency doin Dušn grež, Dir Ilić, Jnko Drnovšek Universiy o Ljuljn, culy o Elecricl Engineering,

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

Boyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a

Boyce/DiPrima 9 th ed, Ch 6.1: Definition of. Laplace Transform. In this chapter we use the Laplace transform to convert a Boye/DiPrima 9 h ed, Ch 6.: Definiion of Laplae Transform Elemenary Differenial Equaions and Boundary Value Problems, 9 h ediion, by William E. Boye and Rihard C. DiPrima, 2009 by John Wiley & Sons, In.

More information

sensors ISSN

sensors ISSN Senor 8, 8, 356-366; DOI: 1.339/85356 OPEN ACCESS enor ISSN 144-8 www.dpi.org/enor Arile A Novel Modified Oeg-K Algorih for Synhei Aperure Iging Lidr hrough he Aophere Ling Guo 1, *, Mendo ing 1, Yu Tng

More information

Proper Projective Symmetry in some well known Conformally flat Space-Times

Proper Projective Symmetry in some well known Conformally flat Space-Times roper rojeie Smmer in some well nown onformll fl Spe-Times Ghulm Shir Ful of Engineering Sienes GIK Insiue of Engineering Sienes nd Tehnolog Topi Swi NWF isn Emil: shir@gii.edu.p sr sud of onformll fl

More information

The Forming Theory and Computer Simulation of the Rotary Cutting Tools with Helical Teeth and Complex Surfaces

The Forming Theory and Computer Simulation of the Rotary Cutting Tools with Helical Teeth and Complex Surfaces Compuer nd Informion Siene The Forming Theory nd Compuer Simulion of he Rory Cuing Tools wih Helil Teeh nd Comple Surfes Hurn Liu Deprmen of Mehnil Engineering Zhejing Universiy of Siene nd Tehnology Hngzhou

More information

Linear Motion, Speed & Velocity

Linear Motion, Speed & Velocity Add Iporan Linear Moion, Speed & Velociy Page: 136 Linear Moion, Speed & Velociy NGSS Sandard: N/A MA Curriculu Fraework (2006): 1.1, 1.2 AP Phyic 1 Learning Objecive: 3.A.1.1, 3.A.1.3 Knowledge/Underanding

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

Robust Network Coding for Bidirected Networks

Robust Network Coding for Bidirected Networks Rou Nework Coding for Bidireed Nework A. Sprinon, S. Y. El Rouyhe, nd C. N. Georghide Ar We onider he prolem of nding liner nework ode h gurnee n innneou reovery from edge filure in ommuniion nework. Wih

More information

EE Control Systems LECTURE 2

EE Control Systems LECTURE 2 Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian

More information

Admin MAX FLOW APPLICATIONS. Flow graph/networks. Flow constraints 4/30/13. CS lunch today Grading. in-flow = out-flow for every vertex (except s, t)

Admin MAX FLOW APPLICATIONS. Flow graph/networks. Flow constraints 4/30/13. CS lunch today Grading. in-flow = out-flow for every vertex (except s, t) /0/ dmin lunch oday rading MX LOW PPLIION 0, pring avid Kauchak low graph/nework low nework direced, weighed graph (V, ) poiive edge weigh indicaing he capaciy (generally, aume ineger) conain a ingle ource

More information

Generalized Projective Synchronization Using Nonlinear Control Method

Generalized Projective Synchronization Using Nonlinear Control Method ISSN 79-3889 (prin), 79-3897 (online) Inernionl Journl of Nonliner Siene Vol.8(9) No.,pp.79-85 Generlized Projeive Synhronizion Using Nonliner Conrol Mehod Xin Li Deprmen of Mhemis, Chngshu Insiue of Tehnology

More information

PHYSICS 151 Notes for Online Lecture #4

PHYSICS 151 Notes for Online Lecture #4 PHYSICS 5 Noe for Online Lecure #4 Acceleraion The ga pedal in a car i alo called an acceleraor becaue preing i allow you o change your elociy. Acceleraion i how fa he elociy change. So if you ar fro re

More information

PHYSICS Solving Equations

PHYSICS Solving Equations Sepember 20, 2013 PHYSIS Solving Equaion Sepember 2013 www.njcl.org Solving for a Variable Our goal i o be able o olve any equaion for any variable ha appear in i. Le' look a a imple equaion fir. The variable

More information

Vidyalankar. 1. (a) Y = a cos dy d = a 3 cos2 ( sin ) x = a sin dx d = a 3 sin2 cos slope = dy dx. dx = y. cos. sin. 3a sin cos = cot at = 4 = 1

Vidyalankar. 1. (a) Y = a cos dy d = a 3 cos2 ( sin ) x = a sin dx d = a 3 sin2 cos slope = dy dx. dx = y. cos. sin. 3a sin cos = cot at = 4 = 1 . (). (b) Vilnkr S.Y. Diplom : Sem. III [AE/CE/CH/CM/CO/CR/CS/CW/DE/EE/EP/IF/EJ/EN/ET/EV/EX/IC/IE/IS/ ME/MU/PG/PT/PS/CD/CV/ED/EI/FE/IU/MH/MI] Applied Mhemics Prelim Quesion Pper Soluion Y cos d cos ( sin

More information

How to prove the Riemann Hypothesis

How to prove the Riemann Hypothesis Scholrs Journl of Phsics, Mhemics nd Sisics Sch. J. Phs. Mh. S. 5; (B:5-6 Scholrs Acdemic nd Scienific Publishers (SAS Publishers (An Inernionl Publisher for Acdemic nd Scienific Resources *Corresonding

More information

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation Mching Inpu: undireced grph G = (V, E). Biprie Mching Inpu: undireced, biprie grph G = (, E).. Mching Ern Myr, Hrld äcke Biprie Mching Inpu: undireced, biprie grph G = (, E). Mflow Formulion Inpu: undireced,

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

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

More information

ALLOWABLE STRESS DESIGN FLOWCHART FOR AISC MANUAL OF STEEL CONSTRUCTION, NINTH EDITION APPENDIX B BEARING STIFFENERS AND TRANSVERSE STIFFENERS DESIGN

ALLOWABLE STRESS DESIGN FLOWCHART FOR AISC MANUAL OF STEEL CONSTRUCTION, NINTH EDITION APPENDIX B BEARING STIFFENERS AND TRANSVERSE STIFFENERS DESIGN ALLOWABLE TRE DEIGN LOWCHART OR AIC MANUAL O TEEL CONTRUCTION, NINTH EDITION APPENDIX B BEARING TIENER AND TRANVERE TIENER DEIGN HEN-YEH CHEN, PH.D. Aug, 1995 All Righs Reserve. No pr o his ook my e reprouce

More information

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points)

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points) Delf Universiy of Technology Fculy of Civil Engineering nd Geosciences Srucurl echnics Secion Wrie your nme nd sudy numer he op righ-hnd of your work. Exm CT5 Theory of Elsiciy Fridy Ocoer 00, 9:00 :00

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE

More information

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704 Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 6, 8 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion

More information

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba Lecure 3 Mondy - Deceber 5, 005 Wrien or ls upded: Deceber 3, 005 P44 Anlyicl Mechnics - I oupled Oscillors c Alex R. Dzierb oupled oscillors - rix echnique In Figure we show n exple of wo coupled oscillors,

More information

(1) x (2) x x x x. t ( ) t ( ) (2) t ( ) (1) P v p dt v p dt v p dt t 0.096t 0.096t. P e dt e dt e dt P

(1) x (2) x x x x. t ( ) t ( ) (2) t ( ) (1) P v p dt v p dt v p dt t 0.096t 0.096t. P e dt e dt e dt P Chaper 8 1. You are given a muliple ecremen moel wih ecremens of eah by naural causes an eah by accienal causes. You are also given: 0.031 0.015 0.05 a. Calculae he annual ne benefi premium rae pai coninuously

More information

Lecture 6: Coding theory

Lecture 6: Coding theory Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those

More information

1 Motivation and Basic Definitions

1 Motivation and Basic Definitions CSCE : Deign and Analyi of Algorihm Noe on Max Flow Fall 20 (Baed on he preenaion in Chaper 26 of Inroducion o Algorihm, 3rd Ed. by Cormen, Leieron, Rive and Sein.) Moivaion and Baic Definiion Conider

More information

Introduction to Congestion Games

Introduction to Congestion Games Algorihmic Game Theory, Summer 2017 Inroducion o Congeion Game Lecure 1 (5 page) Inrucor: Thoma Keelheim In hi lecure, we ge o know congeion game, which will be our running example for many concep in game

More information

Control Systems -- Final Exam (Spring 2006)

Control Systems -- Final Exam (Spring 2006) 6.5 Conrol Syem -- Final Eam (Spring 6 There are 5 prolem (inluding onu prolem oal poin. (p Given wo marie: (6 Compue A A e e. (6 For he differenial equaion [ ] ; y u A wih ( u( wha i y( for >? (8 For

More information