CLASSIFICATION OF SPATIAL RELATIONSHIPS

Size: px
Start display at page:

Download "CLASSIFICATION OF SPATIAL RELATIONSHIPS"

Transcription

1 CLFCTON OF PTL RELTONHP uczkowsk, K. nsttut of Photogrammtry and Cartography, Warsaw Unvrsty of Tchnology. TRCT Th spatal rlaton taks plac among at last two ojcts and concrns thr mutual poston n th gographcal spac. Th spatal rlatons takng plac n ralty ar prsntd n a map or n a dataas n a modl way. ccordng to th purpos, w can dstngush th spatal rlatons:! fuzzy (nar, far, hghr, lowr tc.),! drctonal (north, southast tc.),! topologcal (nghour-hood, ntrscton, ncluson, tc.),! mtrcal (dstanc, angl, lnght, tc.),! logcal (xcluson, ovrlappng, tc.). Th growng numr of ltratur wth varous mtodologcal approachs to dstngushng th spatal rlatons shows that ths knd of th clasfcaton s vry complcatd and dffcult. n ths papr w assum that th classfcaton concrns th ojcts wth th topologcal dmnsons: 0 pont, 1 ln, 2 ara, 3 sold. Thr ar 10 man groups of th topologcal rlatons: (pont pont, pont ln, pont ara, pont sold, ln ln, ln ara, ln sold, ara ara, ara sold, sold sold). W also assum that vry ojct has an ntror and an xtror. Ths classfcaton s asd on th followng rlatons n th calculus of classs: xcluson, non-xcluson, ovrlappng, nclud, possson of th common pont, possson of common ponts. 1. PTL RELTONHP n th fld of gonformaton, rlatonshps ar dstngushd twn ojct attruts and rlatonshps nvolvng th mutual poston of at last two ojcts n gographc spac. patal rlatonshps can vwd from two ponts. Th frst on concrns th rlatons twn ojcts n gographc spac. Th scond on, drvd from th frst, concrns th rlatons twn ojct rprsntatons n th data as. Usng natural languag, w dscr th spatal rlatons twn two ojcts y such trms as: low, south of, nar, nsd, tc. From a scntfc pont of vw ths st of trms should formalzd and logcally dscrd. n th ltratur on th sujct two groups of spatal rlatonshps ar gnrally mntond: mtrc rlatons - asd on calculatons mad on coordnats, and topologcal rlatons - dscrng th nghorhood, ncluson, crossovr of ojcts, tc. (Fg. 1). Topologcal rlatonshps ar rsstant to strtchng, scalng, or rotaton. D C C D M trc rlaton s T op ologcal rlaton s R gon D s ast of rgon T h ara of rgon D s largr thaan s R gons,, C ar adjacnt R gon D s dstant from rgons,, C Fgur 1. Mtrc and topologcal aspcts of spatal rlatonshps. Procdngs of th 21 st ntrnatonal Cartographc Confrnc (CC) Duran, outh frca, ugust 2003 Cartographc Rnassanc Hostd y Th ntrnatonal Cartographc ssocaton (C) N: Producd y: Documnt Transformaton Tchnologs

2 2. NME OF PTL RELTONHP On of th ssntal prolms nvolvng spatal rlatonshps s thr trmnology. Th sam rlatonshp can gvn svral dffrnt nams. good xampl of th aov can th rlatonshp Covrd- y from th 4-ntrscton modl, trmd and dfnd dffrntly y dffrnt authors (Fg. 2). C onvrtd y n sd - n t rs k t Ovrlap n cd n t n trscto n Edg - nsd authors 4 -ntrscton m odl G u ttn g Pullar 1 Pullar 2 W agnr M odl R alm Fgur 2. Dffrnt nams of th sam rlaton, accordng to Gotl (2001). nothr xampl hr s th DYNMO systm of th ntrgraph company, whr th sam rlatonshp twn a pont and an ara s gvn four dffrnt trms: a pont touchs an ara, a pont ntrscts an ara, an ara contans a pont and an ara ncloss a pont (Fg. 3). Undrstandaly, ths dos not undrmn th valu of th DYNMO systm, n whch svral dozn spatal rlatonshps wr mplmntd. P o n t to u c h s a r a P o n t n t rs c ts a r a ra contans pont ra ncloss pont Fgur 3. Dffrnt nams of th sam rlatonshp n th DYNMO systm. t turns out that natural languag dos not allow to nam spatal rlatonshps logcally. t stms from th fact that thr s a larg numr of such rlatons and th dffrncs twn thm ar mnor, unnotcd y G usrs. Prhaps th soluton to th prolm would to dscr ths rlatonshps graphcally. 3. METHOD OF DEFNNG THE ET OF PTL RELTONHP Thr ar many mthods of dfnng th sts of spatal rlatonshps: runng (1996), Gotl (2001), chndr (1997), Papadas & Thodords (1997). n th prsnt papr only two wr chosn and dscrd. On of th st known s th 4-ntrscton modl proposd y Egnhofr and Fronzosa (1991). t s a modl whch maks t possl to dffrntat only spatal rlatonshps twn ojcts of th rgon typ. ts authors assumd that a rgon conssts of a oundary δ, an ntror o and an xtror. o = Fgur 4. Th ntror and oundary of an ara accordng to Egnhofr, Clmntn, Flc (1994) Th rlatonshps ar dfnd on th ass of a 2-dmntonal matrx. o o o o st of slctd rlatonshps was prsntd n Fg. 5. (1)

3 N am of rlaton dsjont Exam pl o o o o qual contans nsd covrs covrd y m t ovrlaps Fgur 5. patal rlatonshps n th 4-ntrscton modl accordng to Egnhofr and Franzosa. Th mthods usd n th 4-ntrscton modl wr dvlopd y Egnhofr and Hrrng (1994) n thr 9-ntrscton modl. n ths modl, pont, ln and surfac ojcts ar consdrd. Th spatal dmnsons of ths ojcts ar 0, 1, and 2, rspctvly. rgon wthout hols s a rgon wth a connctd xtror and a connctd oundary (Fg. 6a). ddtonally, th dfnton of a rgon wth hols was ntroducd. Namly, a rgon wth hols s a rgon wth dsconnctd xtror and a dsconnctd oundary (Fg. 6). Thr ar two knds of lns dffrntatd n th modl: a smpl ln - wth two dsconnctd oundars (Fg. 6c) and a complx ln - wth mor than two dsconnctd oundars (Fg. 6d). a c d Fgur 6. rgon wth a) a connctd and ) dsconnctd oundary; and c) a smpl and d) complx ln, accordng to Egnhofr and Hrrng (1994). Th topologcal dscrpton of th rlatons twn two ojcts can prsntd as a 3x3 matrx. o o o o 0 - R(, ) = whr: o ntror, oudary, - xtror. (2) o - - Th 9-ntrscton modl s now proaly th st to dscr spatal rlatonshps, not wthout ts faults, howvr. Th ntroducton of smpl and complx lns has rsultd n rasng th numr of rlatons twn thm, whch ar 57 now. o th prolm s to sort out ths rlatons and nam thm n trms of natural languag. 4. TENTTVE CLFCTON OF ELEMENTRY PTL RELTONHP Lt us consdr now 4 typs of ojcts n 3-dmnsonal spac such that:! pont P s topologcal dmnson s 0,! ln L s topologcal dmnson s 1,! rgon s, ara s topologcal dmnson s 2,! sold s topologcal dmnson s 3.

4 Vwd from a topologcal prspctv, a pont and a ln hav only an dg. n a rgon or sold, an dg and an ntror ar dstngushd (Fg. 7). P L P = P L = L = = Fgur 7. Th ntror and dg of an ojct n th topologcal approach. oth an ara and a sold can hav so-calld hols. From a topologcal pont of vw, w ar dalng hr wth a dsjont rgon and a dsjont sold, also havng dsjont dgs. Havng only an dg, a ln posssss so-calld not dsjont ponts (homomorphc ponts) at ts oth nds. twn ths ponts thr ar dsjont ponts. Th rmoval of an pont homomorphc dos not run th topology of an ojct whras th rmoval of a dsjont pont dos (Fg. 8). Usng th topologcal concpt of an undsjontd pont, lt us assum that ths pont s calld th dg of a ln. n ths cas, th dsjontd ponts wll th ln s ntror. f th noton of an xtror s furthr addd to thos of an xtror and dg (Fg. 9), thn th cratd modl wll comply wth th prncpls lad down for th 9-ntrscton modl. U ndsjont rgon and sold dsjontd dgs D sjontd and undsjontd ponts for a ln dsjontd ponts undsjontd ponts Fgur 8. Topologcal dosyncrass of lns, rgons and solds. L 1 E X T E R O R L2 P L P = P L = L L = = Fgur 9. Th dg, ntror and xtror of an ojct n th proposd modl. Th assumpton was that th frst stag of classfcaton of spatal rlatonshps would thr dvson n complanc wth th rlatons of xtnsons n th st thory, nrchd only th dvson of th ovrlappng class nto two: on wth a common pont and th othr wth common ponts. Ths classfcaton s common for all th comnatons that xst twn th four typs of ojcts. Fgur 10. Th st-thortc classfcaton of spatal rlatons.

5 Th thr fgurs low (Fgs. 11, 12 and 13) show, y way of xampl, lmntary rlatons n 3D spac xstng twn: a surfac and a ln, a ln and a ln, a surfac and a surfac. For th sak of clarty, spcfc rlatons twn th componnts of ojcts wr graphcally dscrd. Th noton of an xtror was assumd to connctd only wth th ojct whch s th doman of a rlatonshp. dsjont not dsjont n sd nsd and tougchng oudary nsd & tougchng oudary tw c on th oundary n sa d ovrlap com m on ponts passng through surfac nsd, touchng oundary at on sd & passng through th othr passng through along oundary t rm n a tn g n sd at on nd startng nsd & passng through along oundary com m on pont n t rs c tn g oundary n t rs c tn g n t ro r lnkng oudary ln k n g n t ro r l n s u r f a c Fgur 11. Elmntary spatal rlatons twn a surfac and a ln.

6 dsjont not dsjont n sd qual touchng oundary n sd n sd ovrlap com m on ponts trm natn g com m on pont lnkng oudary lnkng ntror n t rs c tn g n tror l n l n Fgur 12. Elmntary spatal rlatons twn a ln and a ln.

7 dsjont not dsjont n sad q ual n sd toug chng oudary nsd ovrlap com m on p on ts xtndng ovr oundary touchng xtror along on oudary sta rtn g fro m o n oudary n t rs c tn g n tror n t rs c tn g oundary com m on p on t com m on pont ln k n g n t ro r lnkng oudary s u r f a c s u r f a c Fgur 13. Elmntary spatal rlatons twn a surfac and a surfac.

8 Th spatal rlatons dscussd n th papr wr calld lmntary. t mans that ths rlatons can th ass for complx rlatons (Fg. 14) = 5 4 = = = = = p p Fgur 14. Jonng lmntary rlatons. 5. UMMRY Th quston of spatal rlatons whch s so mportant for th dvlopmnt of gonformaton has not rcvd adquat attnton among rsarchrs yt. Dffrnt ways of dfnng spatal rlatons, trmnologcal prolms concrnng th rlatons and thr mplmntatons n Gographc nformaton ystms pont out that th prolm wll contnu to th cntr of our attnton for som tm n th futur. Th prsnt papr was to a larg xtnt nsprd y th 9-ntrscton modl (of Max J.Egnhofr and John R.Hrrng). s gonformaton taks nto account not only two ut, stll to a gratr xtnt, thr dmnsons, th proposd modl was dvlopd for 3D spac. Th ral challng n th futur wll to nclud tm as a fourth dmnson. Th proposd modl concrns only topologcal rlatons. To account for many prolms t would ncssary to nclud such non-topologcal rlatons as, for nstanc, paralllsm and prpndcularty. ras and solds whch ar not homomorphc whr not consdrd n th prsnt papr. t s a quston whch rqurs sparat attnton. 6. REFERENCE [1] runng M. (1996), ntgraton of patal nformaton for Go-nformaton ystms. prngr-vrlag, rln- Hdlrg. [2] Egnhofr M.J., Fronzosa R.D. (1991), Pont-st topologcal spatal rlatons. ntrnatonal Journal of Gographcal nformaton ystms, Taylor&Francs Ltd., vol. 5, no. 2. [3] Egnhofr M.J., Clmntn E., Flc P. (1994), Topologcal rlatons twn rgons wth hols. ntrnatonal Journal of Gographcal nformaton ystms, Taylor&Francs Ltd., vol. 8, no. 2. [4] Egnhofr M.J.,M.ark D.M, Hrrng J. (1994), Th 9-ntrscton: formalsm and ts us for natural-languag spatal prdcats. U.. Natonal Cntr for Gographc nformaton and nalyss. [5] Gotl D. (2001), Mozlwosc wykorzystana analtycznych mtod projktowana systmow nformatycznych w tworznu az danych przstrznnych na przykładz topografczngo systmu nformacyjngo. Warsaw Unvrsty of Tchnology. [6] Papadas D., Thodords Y. (1997), patal rlatons, mnmum oundng, rctangls, and spatal structurs, ntrnatonal Journal of Gographcal nformaton cnc, Taylor&Francs Ltd., vol.11, no. 2. [7] chndr M. (1997), patal Data Typs for Dataas ystms. prngr Computr cnc, Hagn, Grmany.

9 CLFCTON OF PTL RELTONHP uczkowsk, K. nsttut of Photogrammtry and Cartography, Warsaw Unvrsty of Tchnology. ography Krzysztof uczkowsk! orn n 1950 n Warsaw, Poland! work n nsttut of Photogrammtry and Cartography, Warsaw Unvrsty of Tchnology! doctor s dgr n 1983! ntrsts: Gographcal nformaton ystms, Cartography, Gostatstca

Representation and Reasoning with Uncertain Temporal Relations

Representation and Reasoning with Uncertain Temporal Relations Rprsntaton and Rasonng wth Uncrtan Tmporal Rlatons Vladmr Ryaov (*) Sppo Puuronn (*) Vagan Trzyan (**) (*) Dpartmnt of Computr Scnc and Informaton Systms Unvrsty of Jyvaskyla P.O.Box 5 SF-4051 Jyvaskyla

More information

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:

More information

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng

More information

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University xtrnal quvalnt 5 Analyss of Powr Systms Chn-Chng Lu, ong Dstngushd Profssor Washngton Stat Unvrsty XTRNAL UALNT ach powr systm (ara) s part of an ntrconnctd systm. Montorng dvcs ar nstalld and data ar

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

A Probabilistic Characterization of Simulation Model Uncertainties

A Probabilistic Characterization of Simulation Model Uncertainties A Proalstc Charactrzaton of Sulaton Modl Uncrtants Vctor Ontvros Mohaad Modarrs Cntr for Rsk and Rlalty Unvrsty of Maryland 1 Introducton Thr s uncrtanty n odl prdctons as wll as uncrtanty n xprnts Th

More information

Review - Probabilistic Classification

Review - Probabilistic Classification Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS COMPUTTION FUID DYNMICS: FVM: pplcatons to Scalar Transport Prolms ctur 3 PPICTIONS OF FINITE EEMENT METHOD TO SCR TRNSPORT PROBEMS 3. PPICTION OF FEM TO -D DIFFUSION PROBEM Consdr th stady stat dffuson

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.

A general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex. Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts

More information

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d)

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d) Ερωτήσεις και ασκησεις Κεφ 0 (για μόρια ΠΑΡΑΔΟΣΗ 9//06 Th coffcnt A of th van r Waals ntracton s: (a A r r / ( r r ( (c a a a a A r r / ( r r ( a a a a A r r / ( r r a a a a A r r / ( r r 4 a a a a 0 Th

More information

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach Unv.Prof. r. J. FrankVbach WS 067: Intrnatonal Economcs ( st xam prod) Unvrstät Sgn Fakultät III Unv.Prof. r. Jan FrankVbach Exam Intrnatonal Economcs Wntr Smstr 067 ( st Exam Prod) Avalabl tm: 60 mnuts

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2 FACTA UNIVERSITATIS Srs: Mchancs, Automatc Control Robotcs Vol.3, N o, 00, pp. 7-33 VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 54.7(045)54.75.6:59.688:59.673 Ebrhard Malkowsky, Vsna Vlčkovć Dpartmnt of

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

Lecture 3: Phasor notation, Transfer Functions. Context

Lecture 3: Phasor notation, Transfer Functions. Context EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.

More information

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti ICSV Carns ustrala 9- July 7 NON-LINER MOEL FOR STUYING THE MOTION OF HUMN OY Ncola-oru Stănscu Marna Pandra nl Popa Sorn Il Ştfan-Lucan Tabacu partnt of ppld Mchancs Unvrsty of Ptşt Ptşt 7 Roana partnt

More information

Folding of Regular CW-Complexes

Folding of Regular CW-Complexes Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous ST 54 NCSU - Fall 008 On way Analyss of varanc Varancs not homognous On way Analyss of varanc Exampl (Yandll, 997) A plant scntst masurd th concntraton of a partcular vrus n plant sap usng ELISA (nzym-lnkd

More information

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

Geometric algebra, qubits, geometric evolution, and all that

Geometric algebra, qubits, geometric evolution, and all that omtrc algra quts gomtrc voluton and all that Alxandr M. OUNE opyrght 5 Astract: Th approach ntald n [] [] s usd for dscrpton and analyss of quts gomtrc phas paramtrs thngs crtcal n th ara of topologcal

More information

Decision-making with Distance-based Operators in Fuzzy Logic Control

Decision-making with Distance-based Operators in Fuzzy Logic Control Dcson-makng wth Dstanc-basd Oprators n Fuzzy Logc Control Márta Takács Polytchncal Engnrng Collg, Subotca 24000 Subotca, Marka Orškovća 16., Yugoslava marta@vts.su.ac.yu Abstract: Th norms and conorms

More information

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D Comp 35 Machn Larnng Computr Scnc Tufts Unvrsty Fall 207 Ron Khardon Th EM Algorthm Mxtur Modls Sm-Suprvsd Larnng Soft k-mans Clustrng ck k clustr cntrs : Assocat xampls wth cntrs p,j ~~ smlarty b/w cntr

More information

Outlier-tolerant parameter estimation

Outlier-tolerant parameter estimation Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln

More information

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved.

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved. Journal o Thortcal and Appld Inormaton Tchnology th January 3. Vol. 47 No. 5-3 JATIT & LLS. All rghts rsrvd. ISSN: 99-8645 www.att.org E-ISSN: 87-395 RESEARCH ON PROPERTIES OF E-PARTIAL DERIVATIVE OF LOGIC

More information

Basic Electrical Engineering for Welding [ ] --- Introduction ---

Basic Electrical Engineering for Welding [ ] --- Introduction --- Basc Elctrcal Engnrng for Wldng [] --- Introducton --- akayosh OHJI Profssor Ertus, Osaka Unrsty Dr. of Engnrng VIUAL WELD CO.,LD t-ohj@alc.co.jp OK 15 Ex. Basc A.C. crcut h fgurs n A-group show thr typcal

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION*

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* Dr. G.S. Davd Sam Jayakumar, Assstant Profssor, Jamal Insttut of Managmnt, Jamal Mohamd Collg, Truchraall 620 020, South Inda,

More information

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges Physcs of Vry Hgh Frquncy (VHF) Capactvly Coupld Plasma Dschargs Shahd Rauf, Kallol Bra, Stv Shannon, and Kn Collns Appld Matrals, Inc., Sunnyval, CA AVS 54 th Intrnatonal Symposum Sattl, WA Octobr 15-19,

More information

Math 656 March 10, 2011 Midterm Examination Solutions

Math 656 March 10, 2011 Midterm Examination Solutions Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or

More information

Decentralized Adaptive Control and the Possibility of Utilization of Networked Control System

Decentralized Adaptive Control and the Possibility of Utilization of Networked Control System Dcntralzd Adaptv Control and th Possblty of Utlzaton of Ntworkd Control Systm MARIÁN ÁRNÍK, JÁN MURGAŠ Slovak Unvrsty of chnology n Bratslava Faculty of Elctrcal Engnrng and Informaton chnology Insttut

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint Optmal Ordrng Polcy n a Two-Lvl Supply Chan wth Budgt Constrant Rasoul aj Alrza aj Babak aj ABSTRACT Ths papr consdrs a two- lvl supply chan whch consst of a vndor and svral rtalrs. Unsatsfd dmands n rtalrs

More information

167 T componnt oftforc on atom B can b drvd as: F B =, E =,K (, ) (.2) wr w av usd 2 = ( ) =2 (.3) T scond drvatv: 2 E = K (, ) = K (1, ) + 3 (.4).2.2

167 T componnt oftforc on atom B can b drvd as: F B =, E =,K (, ) (.2) wr w av usd 2 = ( ) =2 (.3) T scond drvatv: 2 E = K (, ) = K (1, ) + 3 (.4).2.2 166 ppnd Valnc Forc Flds.1 Introducton Valnc forc lds ar usd to dscrb ntra-molcular ntractons n trms of 2-body, 3-body, and 4-body (and gr) ntractons. W mplmntd many popular functonal forms n our program..2

More information

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS ACOUSTIC WAE EQUATION Contnts INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS INTRODUCTION As w try to vsualz th arth ssmcally w mak crtan physcal smplfcatons that mak t asr to mak and xplan our obsrvatons.

More information

Analyzing Frequencies

Analyzing Frequencies Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5

More information

CHAPTER 33: PARTICLE PHYSICS

CHAPTER 33: PARTICLE PHYSICS Collg Physcs Studnt s Manual Chaptr 33 CHAPTER 33: PARTICLE PHYSICS 33. THE FOUR BASIC FORCES 4. (a) Fnd th rato of th strngths of th wak and lctromagntc forcs undr ordnary crcumstancs. (b) What dos that

More information

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach Unvrstät Sgn Fakultät III Wrtschaftswssnschaftn Unv.-rof. Dr. Jan Frank-Vbach Exam Intrnatonal Fnancal Markts Summr Smstr 206 (2 nd Exam rod) Avalabl tm: 45 mnuts Soluton For your attnton:. las do not

More information

Add sodium hydroxide solution

Add sodium hydroxide solution , :::.l9 &30 ~!fjrkh:+l. ~ S/::T..:=4... A studnt has four solutons lablld A, B, C and D. Each soluton contans on compound from th followng lst: FCh Th studnt dos som smpl tsts to dntfy th compounds prsnt.

More information

The Equitable Dominating Graph

The Equitable Dominating Graph Intrnational Journal of Enginring Rsarch and Tchnology. ISSN 0974-3154 Volum 8, Numbr 1 (015), pp. 35-4 Intrnational Rsarch Publication Hous http://www.irphous.com Th Equitabl Dominating Graph P.N. Vinay

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

Shortest Paths in Graphs. Paths in graphs. Shortest paths CS 445. Alon Efrat Slides courtesy of Erik Demaine and Carola Wenk

Shortest Paths in Graphs. Paths in graphs. Shortest paths CS 445. Alon Efrat Slides courtesy of Erik Demaine and Carola Wenk S 445 Shortst Paths n Graphs lon frat Sls courtsy of rk man an arola Wnk Paths n raphs onsr a raph G = (V, ) wth -wht functon w : R. Th wht of path p = v v v k s fn to xampl: k = w ( p) = w( v, v + ).

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

GEOMETRICAL PHENOMENA IN THE PHYSICS OF SUBATOMIC PARTICLES. Eduard N. Klenov* Rostov-on-Don, Russia

GEOMETRICAL PHENOMENA IN THE PHYSICS OF SUBATOMIC PARTICLES. Eduard N. Klenov* Rostov-on-Don, Russia GEOMETRICAL PHENOMENA IN THE PHYSICS OF SUBATOMIC PARTICLES Eduard N. Klnov* Rostov-on-Don, Russia Th articl considrs phnomnal gomtry figurs bing th carrirs of valu spctra for th pairs of th rmaining additiv

More information

ON THE INTEGRAL INVARIANTS OF KINEMATICALLY GENERATED RULED SURFACES *

ON THE INTEGRAL INVARIANTS OF KINEMATICALLY GENERATED RULED SURFACES * Iranan Journal of Scnc & Tchnology Transacton A ol 9 No A Prntd n Th Islamc Rpublc of Iran 5 Shraz Unvrsty ON TH INTGRAL INARIANTS OF KINMATICALLY GNRATD RULD SURFACS H B KARADAG AND S KLS Dpartmnt of

More information

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added 4.3, 4.4 Phas Equlbrum Dtrmn th slops of th f lns Rlat p and at qulbrum btwn two phass ts consdr th Gbbs functon dg η + V Appls to a homognous systm An opn systm whr a nw phas may form or a nw componnt

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

Α complete processing methodology for 3D monitoring using GNSS receivers

Α complete processing methodology for 3D monitoring using GNSS receivers 7-5-5 NATIONA TECHNICA UNIVERSITY OF ATHENS SCHOO OF RURA AND SURVEYING ENGINEERING DEPARTMENT OF TOPOGRAPHY AORATORY OF GENERA GEODESY Α complt procssng mthodology for D montorng usng GNSS rcvrs Gorg

More information

Physics 256: Lecture 2. Physics

Physics 256: Lecture 2. Physics Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur

More information

Independent Domination in Line Graphs

Independent Domination in Line Graphs Itratoal Joural of Sctfc & Egrg Rsarch Volum 3 Issu 6 Ju-1 1 ISSN 9-5518 Iddt Domato L Grahs M H Muddbhal ad D Basavarajaa Abstract - For ay grah G th l grah L G H s th trscto grah Thus th vrtcs of LG

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

Aotomorphic Functions And Fermat s Last Theorem(4)

Aotomorphic Functions And Fermat s Last Theorem(4) otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

From Structural Analysis to FEM. Dhiman Basu

From Structural Analysis to FEM. Dhiman Basu From Structural Analyss to FEM Dhman Basu Acknowldgmnt Followng txt books wr consultd whl prparng ths lctur nots: Znkwcz, OC O.C. andtaylor Taylor, R.L. (000). Th FntElmnt Mthod, Vol. : Th Bass, Ffth dton,

More information

4.4 Design of Sections for Flexure (Part III)

4.4 Design of Sections for Flexure (Part III) 4.4 Dsign of Sctions for Flxur (Part ) This sction covrs th following topics. Choic of Sctions Dtrmination of Limiting Zon Post-tnsioning in Stags 4.4.1 Choic of Sctions Th typ of sction is slctd asd on

More information

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces C465/865, 26-3, Lctur 7, 2 th Sp., 26 lctrochmcal qulbrum lctromotv Forc Rlaton btwn chmcal and lctrc drvng forcs lctrochmcal systm at constant T and p: consdr G Consdr lctrochmcal racton (nvolvng transfr

More information

Computation of Greeks Using Binomial Tree

Computation of Greeks Using Binomial Tree Journal of Mathmatcal Fnanc, 07, 7, 597-63 http://www.scrp.org/journal/jmf ISSN Onln: 6-44 ISSN Prnt: 6-434 Computaton of Grks Usng Bnomal Tr Yoshfum Muro, Shntaro Suda Graduat School of conomcs and Managmnt,

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

COMPLIANCE ANALYSIS, OPTIMISATION AND COMPARISON OF A NEW 3PUS-PU MECHANISM. B. Wei

COMPLIANCE ANALYSIS, OPTIMISATION AND COMPARISON OF A NEW 3PUS-PU MECHANISM. B. Wei Intrnatonal Journal of Automotv and Mchancal Engnrng (IJAME) ISSN: 9-869 (Prnt); ISSN: 8-66 (Onln); Volum 7, pp. 9-99, Januar-Jun Unvrst Malasa Pahang DOI: http://d.do.org/.58/jam.7...9-99 COMPLIANCE ANALYSIS,

More information

SUMMER 17 EXAMINATION

SUMMER 17 EXAMINATION (ISO/IEC - 7-5 Crtifid) SUMMER 7 EXAMINATION Modl wr jct Cod: Important Instructions to aminrs: ) Th answrs should b amind by ky words and not as word-to-word as givn in th modl answr schm. ) Th modl answr

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

2. Grundlegende Verfahren zur Übertragung digitaler Signale (Zusammenfassung) Informationstechnik Universität Ulm

2. Grundlegende Verfahren zur Übertragung digitaler Signale (Zusammenfassung) Informationstechnik Universität Ulm . Grundlgnd Vrfahrn zur Übrtragung dgtalr Sgnal (Zusammnfassung) wt Dc. 5 Transmsson of Dgtal Sourc Sgnals Sourc COD SC COD MOD MOD CC dg RF s rado transmsson mdum Snk DC SC DC CC DM dg DM RF g physcal

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

ph People Grade Level: basic Duration: minutes Setting: classroom or field site

ph People Grade Level: basic Duration: minutes Setting: classroom or field site ph Popl Adaptd from: Whr Ar th Frogs? in Projct WET: Curriculum & Activity Guid. Bozman: Th Watrcours and th Council for Environmntal Education, 1995. ph Grad Lvl: basic Duration: 10 15 minuts Stting:

More information

te Finance (4th Edition), July 2017.

te Finance (4th Edition), July 2017. Appndx Chaptr. Tchncal Background Gnral Mathmatcal and Statstcal Background Fndng a bas: 3 2 = 9 3 = 9 1 /2 x a = b x = b 1/a A powr of 1 / 2 s also quvalnt to th squar root opraton. Fndng an xponnt: 3

More information

EE 570: Location and Navigation: Theory & Practice

EE 570: Location and Navigation: Theory & Practice EE 570: Locaton and Navgaton: Thor & Practc Navgaton Snsors and INS Mchanaton Thursda 8 F 013 NMT EE 570: Locaton and Navgaton: Thor & Practc Sld 1 of 10 Navgaton Snsors and INS Mchanaton Navgaton Equatons

More information

Rate of Molecular Exchange Through the Membranes of Ionic Liquid Filled. Polymersomes Dispersed in Water

Rate of Molecular Exchange Through the Membranes of Ionic Liquid Filled. Polymersomes Dispersed in Water Supportng Informton for: Rt of Molculr Exchng hrough th Mmrns of Ionc Lqud Flld olymrsoms Dsprsd n Wtr Soonyong So nd mothy. Lodg *,, Dprtmnt of Chmcl Engnrng & Mtrls Scnc nd Dprtmnt of Chmstry, Unvrsty

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory Ch. 4 Molcular Raction Dynamics 1. Collision Thory Lctur 16. Diffusion-Controlld Raction 3. Th Matrial Balanc Equation 4. Transition Stat Thory: Th Eyring Equation 5. Transition Stat Thory: Thrmodynamic

More information

Complex Powers and Logs (5A) Young Won Lim 10/17/13

Complex Powers and Logs (5A) Young Won Lim 10/17/13 Complx Powrs and Logs (5A) Copyright (c) 202, 203 Young W. Lim. Prmission is grantd to copy, distribut and/or modify this documnt undr th trms of th GNU Fr Documntation Licns, Vrsion.2 or any latr vrsion

More information

Circular Wilson loop operator and master field

Circular Wilson loop operator and master field YITP wor shop Dvlopmnt of Quantum Fld Thory and trng Thory Crcular Wlson loop oprator and mastr fld hoch Kawamoto OCAMI, Osaa Cty Unvrsty atonal Tawan ormal Unvrsty from August Wth T. Kuro Ryo and A. Mwa

More information

Discrete Shells Simulation

Discrete Shells Simulation Dscrt Shlls Smulaton Xaofng M hs proct s an mplmntaton of Grnspun s dscrt shlls, th modl of whch s govrnd by nonlnar mmbran and flxural nrgs. hs nrgs masur dffrncs btwns th undformd confguraton and th

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

Linear Algebra Provides a Basis for Elasticity without Stress or Strain

Linear Algebra Provides a Basis for Elasticity without Stress or Strain Soft, 05, 4, 5-4 Publshd Onln Sptmbr 05 n ScRs. http://www.scrp.org/ournal/soft http://dx.do.org/0.46/soft.05.400 Lnar Algbra Provds a Bass for Elastcty wthout Strss or Stran H. H. Hardy Math/Physcs Dpartmnt,

More information

Minimum Spanning Trees

Minimum Spanning Trees Mnmum Spnnng Trs Spnnng Tr A tr (.., connctd, cyclc grph) whch contns ll th vrtcs of th grph Mnmum Spnnng Tr Spnnng tr wth th mnmum sum of wghts 1 1 Spnnng forst If grph s not connctd, thn thr s spnnng

More information

OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS

OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS Th Svnth East Asa-Pacfc Confrnc on Structural Engnrng & Constructon August 27-29, 1999, Koch, Japan OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS Qng Quan

More information

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1). Eamn EDO. Givn th family of curvs y + C nd th particular orthogonal trajctory from th family of orthogonal trajctoris passing through point (0; ). Solution: In th rst plac, lt us calculat th di rntial

More information

Slide 1. Slide 2. Slide 3 DIGITAL SIGNAL PROCESSING CLASSIFICATION OF SIGNALS

Slide 1. Slide 2. Slide 3 DIGITAL SIGNAL PROCESSING CLASSIFICATION OF SIGNALS Slid DIGITAL SIGAL PROCESSIG UIT I DISCRETE TIME SIGALS AD SYSTEM Slid Rviw of discrt-tim signals & systms Signal:- A signal is dfind as any physical quantity that varis with tim, spac or any othr indpndnt

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

3. Stereoscopic vision 2 hours

3. Stereoscopic vision 2 hours Lctur 3-1 - 11//003 Concpt Hll/Pfiffr Fruary 003 3. Stroscopic vision hours Aim: Undrstanding and application of stroscopic vision not only for photogrammtry Thory: gnral mthods of stroscopic vision masurmnt

More information

Figure 1: Closed surface, surface with boundary, or not a surface?

Figure 1: Closed surface, surface with boundary, or not a surface? QUESTION 1 (10 marks) Two o th topological spacs shown in Figur 1 ar closd suracs, two ar suracs with boundary, and two ar not suracs. Dtrmin which is which. You ar not rquird to justiy your answr, but,

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

Polytropic Process. A polytropic process is a quasiequilibrium process described by

Polytropic Process. A polytropic process is a quasiequilibrium process described by Polytropc Procss A polytropc procss s a quasqulbrum procss dscrbd by pv n = constant (Eq. 3.5 Th xponnt, n, may tak on any valu from to dpndng on th partcular procss. For any gas (or lqud, whn n = 0, th

More information

From Structural Analysis to Finite Element Method

From Structural Analysis to Finite Element Method From Structural Analyss to Fnt Elmnt Mthod Dhman Basu II Gandhnagar -------------------------------------------------------------------------------------------------------------------- Acknowldgmnt Followng

More information

Nuclear reactions The chain reaction

Nuclear reactions The chain reaction Nuclar ractions Th chain raction Nuclar ractions Th chain raction For powr applications want a slf-sustaind chain raction. Natural U: 0.7% of 235 U and 99.3% of 238 U Natural U: 0.7% of 235 U and 99.3%

More information

FEFF and Related Codes

FEFF and Related Codes FEFF and Rlatd Cods Anatoly Frnl Profssor Physcs Dpartmnt, Yshva Unvrsty, w Yor, USA Synchrotron Catalyss Consortum, Broohavn atonal Laboratory, USA www.yu.du/faculty/afrnl Anatoly.Frnl@yu.du FEFF: John

More information

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM

ANALYTICITY THEOREM FOR FRACTIONAL LAPLACE TRANSFORM Sc. Rs. hm. ommn.: (3, 0, 77-8 ISSN 77-669 ANALYTIITY THEOREM FOR FRATIONAL LAPLAE TRANSFORM P. R. DESHMUH * and A. S. GUDADHE a Prof. Ram Mgh Insttt of Tchnology & Rsarch, Badnra, AMRAVATI (M.S. INDIA

More information

On the Possible Coding Principles of DNA & I Ching

On the Possible Coding Principles of DNA & I Ching Sctfc GOD Joural May 015 Volum 6 Issu 4 pp. 161-166 Hu, H. & Wu, M., O th Possbl Codg Prcpls of DNA & I Chg 161 O th Possbl Codg Prcpls of DNA & I Chg Hupg Hu * & Maox Wu Rvw Artcl ABSTRACT I ths rvw artcl,

More information

Kernels. ffl A kernel K is a function of two objects, for example, two sentence/tree pairs (x1; y1) and (x2; y2)

Kernels. ffl A kernel K is a function of two objects, for example, two sentence/tree pairs (x1; y1) and (x2; y2) Krnls krnl K is a function of two ojcts, for xampl, two sntnc/tr pairs (x1; y1) an (x2; y2) K((x1; y1); (x2; y2)) Intuition: K((x1; y1); (x2; y2)) is a masur of th similarity (x1; y1) twn (x2; y2) an ormally:

More information