Group Consensus of Multi-agent Networks With Multiple Time Delays

Size: px
Start display at page:

Download "Group Consensus of Multi-agent Networks With Multiple Time Delays"

Transcription

1 Intrnatonal Confrnc on Artfcal Intllgnc: Tchnologs and Applcatons (ICAITA 06 Group Consnsus of Mult-agnt Ntworks Wth Multpl Tm Dlays Langhao J* Xnyu Zhao Qun Lu and Yong Wang Chongqng Ky Laboratory of Computatonal Intllgnc Chongqng Unvrsty of Posts and Tlcommuncatons Chongqng P R Chna School of Computr Scnc and Tchnology Chongqng Unvrsty of Posts and Tlcommuncatons Chongqng P R Chna wth connctd undrctd and connctd bpartt graphs rspctvly n [3] In th connctd bpartt graph th rfrnc [4] addrssd group consnsus of frst-ordr ntworks wth and wthout dlays rspctvly by a control protocol Morovr Du t al [5] xtndd th conclusons proposd n [4] Abstract Ths papr nvstgats th group consnsus problm of frst-ordr mult-agnt ntworks wth multpl tm dlays By applyng th thory of frquncy-doman w am to propos som algbrac crtra such that th mult-agnt ntworks can rach group consnsus From th rsults t can b shown that group consnsus of ntworks s dtrmnd by ownng nput tm dlays and conncton strngths btwn agnts ndpndnt of communcaton dlays Howvr th xstnc of communcaton dlays wll affct th convrgnc rat of mult-agnt ntworks Fnally svral numrcal smulatd xampls ar gvn to show th valdty and corrctnss of our thortcal rsults As w know du to th communcaton lnk qupmnt tc thr xst two dffrnt knds of dlays n ntworks that s communcaton dlays and nput dlays In fact ths two dlays obctvly xst and ar dffrnt from ach othr Thus th rsarch towards group consnsus of ntworks wth multpl dlays bcom mor ralstc Comparng wth xstng nvstgatons thr xst two man shortcomngs: Frst th ffct of mult-agnt ntworks wth th two knds of dlays ar consdrd nsuffcntly Som rlatd rsarchs only nvolv communcaton dlays or only analyz th sam communcaton and nput dlays [5-73-5] Scond most of survys only focus on ntworks wth spcal topologs such as undrctd strongly connctd as wll as strongly connctd and balancd graphs tc [5-6-5] Insprd by rlatd rsarchs mor gnral topologs ar nvstgatd W addrss th group consnsus ssu wth multpl dlays on frstordr ntworks Thraftr algbrac crtra ar drvd that nsur group consnsus to b achvd Evntually rlatd rsults for smlar ssus ar vwd as spcal cass of ths papr or analyss crtra ar rlatvly lss consrvatv Kywords-group consnsus; mult-agnt ntworks; tm dlays; complx ntwork I INTRODUCTION Partly du to broad applcatons of mult-agnt ntworks n many aras such as congston control[] and flockng [] th coopratv control has attractd many rsarchrs ntrst As a fundamntal branch of coopratv control th consnsus ssus hav bcom hot spots Rcntly many rsults about consnsus problms hav bn stablshd Spcfc contnts can b found n survy paprs [3-4] and rfrncs thrn tc In coopratv control n ordr to nsur targt tasks to b compltd harmonously t rqurs that stats of all agnts kp consstnt wth tm Howvr wth th changs of nvronmnts stuatons or vn tm th consnsus stats ar dffrnt Gnrally t can b dscrbd by group consnsus problm Up to dat group consnsus of mult-agnt ntworks has achvd som progrss Yu t al [56] addrssd group consnsus wth undrctd or strongly connctd and balancd graphs on th bass of th matrx thory Furthrmor Yu t al by th da of doubl-tr-form transformaton xtndd group consnsus problms wth communcaton dlays and swtchng topologs [7] For spcal topologs wth th sam and dffrnt slf-dynamc ntworks th group consnsus problms wr nvstgatd n [8] Morovr n ordr to rduc th cost of ntwork control pnnng control stratgs hav bn ntroducd nto mult-agnt ntworks Partcularly th analyss of pnnng group consnsus startd n [9-0] and rfrncs thrn tc Addtonally undr th strongly connctd and balancd graph Wang t al [] took group consnsus wth communcaton dlays nto consdraton Hu t al[] gav an ovrvw of avrag-group consnsus problms on ntworks wth undrctd topologs J t al provdd group consnsus 06 Th authors - Publshd by Atlants Prss Th rst of th papr s organzd as follows In Scton rlvant prlmnars on graph thory and modl formulaton ar summarzd Th problm of group consnsus of ntworks wth multpl tm dlays s dscussd n Scton 3 By a pluralty of numrcal xprmnts th valdty and accuracy of conclusons s vrfd n Scton 4 Fnally concludng rmarks and futur trnds ar statd II PRELIMINARIES In mult-agnt ntworks th topology can b dscrbd by a drctd graph Th nod st s dfnd by V v v vn Dnot th nod ndxs blong to a fnt ndx st by N and th dgs st s E V V Th nghbor st of v s A {a } 54 N N N v V : v v E Morovr s th wghtd adacncy matrx Whn

2 v N a 0 For smplcty w assum a 0 Lt D dag d b th dgr matrx of G L D A s th Laplacan matrx of G For frst-ordr ntworks th dynamc s lstd as (: x t u t n whr x( t u( t dnots th poston control nput of th agnt Wthout loss of gnralty w assum n w ust only consdr x( t u( t Whn n by th Kronckr algorthm t can b asly gnralzd Usually for convnnc w rstat som rlatd lmma and dfntons as follows Dfnton Th frst-ordr mult-agnt ntworks ( s sad to ralz consnsus asymptotcally f for any t follows that x t x t lm 0 t Dfnton [6] For G V E A f V s dvdd nto two dsont subgroups { V V } and th two vrtcs v assocatd wth ach dg ( v v rspctvly blongs to two dffrnt sts of vrtcs w call G th bpartt graph Dfnton 3 If thr xsts a path n G from v to v thn v s sad to b rachabl from v If a nod s rachabl from vry othr nod n G thn t s tratd as a globally rachabl nod Lmma [4] If th topology of G s a connctd bpartt graph th rank of D A s n Lmma [7] If th graph G xsts a globally rachabl nod ts Laplacan matrx wll hav a smpl gnvalu 0 Lmma 3 [8] For 0 0 U dos not contan 0 Co E E whn convx hull T and T dnots th systm dlay T Lmma 4 [9] For th st convx hull III Co 0 U E whr U G s ncludd n th GROUP CONSENSUS OF MULTI-AGENT NETWORKS WITH MULTIPLE DELAYS A Group Consnsus of Dlayd Mult-agnt Ntworks wth th Connctd Bpartt Topologs For th ntwork wth th connctd bpartt topology rf [5] by dsgnng protocol ( drvd consstnt stats of convrgnc vntually At th sam tm t also dscussd th maxmum allowd dlay such that th systm ( undr protocol (3 can achv group consnsus ( ( ( u t a x t x t vn ( ( ( u t a x t x t vn whr dnots th systm dlay By protocol (3 rfrncs [4-6] only dscussd a spcal cas of th sam communcaton and nput dlays Rfrnc [5] dd not gv th condtons whr ntworks rachd group consnsus n th xstnc of tm dlays In gnral th two dffrnt knds of dlays xst obctvly so w drv som algbrac crtra Ths algbrac crtra can guarant group convrgnc of systm ( wth protocol (4 ( ( ( u t a x tt x tt vn whr T dnots communcaton dlay and T ndcats nput dlay Wth algorthm (4 th closd-loop form of ( s ( ( ( x t a x tt x tt vn Thorm Assum th systm (5 of N agnts wth undrctd bpartt topology For f max dt / 4 systm (5 can rach group consnsus asymptotcally Proof: By takng th Laplac transformaton of (5 w st st dt si D A 0 For smplcty w obtan dfn Fs dt si st D st A By th gnral Nyqust stablty crtron th followng two cass ar dscussd rspctvly: Whn 0 basd on Thorm w can drv that F s has a smpl zro at s 0 st st D A Whn 0 s s Th dscusson about th zros of Ps So f all zros of s Fs dt D A Fs s lt Ps Gs F s quals to th zros of Ps bng on th opn lft complx plan systm (5 wll hav group consnsus Lt s From th Grshgorn dsk thorm th quvalnt of G satsfs 55

3 G G T T G : C a a vn vn whr C dnots complx fld On th bass of (7 th cntr of th dsk G s T G0 a Thn ntrscton pont s dfnd vn by W whch s mad by th boundary of th dsk and th orgn pont of th complx plan O W can s that th track T W a From Lmma 3 notng of pont s vn w know that for any gvn t s asy to know that at /4 that W E vn Now lttng max obvously whn for any t s asy to obtan that th nxt quaton holds Co 0 E 0 E Co 0 W In th vw of Lmma 3 snc ( 0 Co 0 E ( U w also can conclud that ( 0 U G Notng that Co(0 U W ( U G accordng to Lmma 4 w hav ( 0 U G That s to say ( G( w dos not contan ( 0 Thrfor w conclud that f th gnral Nyqust stablty crtron s appld all zros of ngatv ral parts Th proof of Thorm s compltd Ps hav Rmark Th allowabl uppr bounds of dlays ar proposd analytcally whch can guarant group consnsus n [4] In th sharp contrast to Lmma th concluson about th bound of dlays s too broad Th followng compard rsults of xprmnts vrfy th concluson Manwhl from th concluson of Thorm t shows that group convrgnc s subct to th nput dlays and adacnt wghts and s ndpndnt of communcaton dlays Corollary Supposd th systm (5 of N agnts wth drctd bpartt topology for f max dt / 4 s satsfd systm (5 can rach group consnsus asymptotcally Th procss of th proof s smlar wth Thorm w omt t du to th lmtaton of spac followng two assumptons of n-dgr balanc consdrng th followng protocol (8 wth multpl tm dlays u nm n a a 0 L ;b a 0 L t n a ( x ( tt x ( tt a x ( tt VN VN a ( x ( tt x ( tt a x ( tt VN VN In (8 for L a 0 ; L a 0 ; U L L L L a : : Wth (8 th closd-loop form of ( s xt a ( x ( tt x ( tt a x ( tt VN VN a ( x ( tt x ( tt a x ( tt VN VN Thorm Undr assumptons of n-dgr balanc w consdr systm (9 of n m( n m agnts s a dgraph whch owns a globally rachabl nod Thn th ntwork wll achv group consnsus asymptotcally f and only f mn max dt / 4 n m whr d ak k k Th proof progrss of Thorm s vry smlar to Thorm and s omttd from ths not du to th lmtaton of spac IV SIMULATION EXAMPLES Accordng to Thorm and Thorm rspctvly som smulaton xampls ar gvn to vrfy th ffctvnss and th corrctnss of th crtra stablshd abov A Exprmnt I W consdr systm (5 wth th topology and couplng wghts btwn agnts dscrbd n Fgur I Lt v v n a group 3 v 4 v5 n anothr group Th ntal stats of agnts ar x(0 [ ] T Input dlays ar T T 0 s T3 T4 0 s T5 0s In Fgur II t shows that th ntwork can achv group consnsus Comparng th ntwork curvs wth dffrnt dlays t s obvous that th xstnc of communcaton dlays can mpact th convrgnc spds of ntworks B Group Consnsus of Dlay Systms wth th Topology Ownng a Globally Rachabl Nod Suppos th ntwork conssts of n m agnts and L { n} L { n n n m} Basd on th 56

4 group consnsus s fal to b ralzd Th corrct and ffctv of Thorm s vrfd G 4 G FIGURE I TOPOLOGY OF SYSTEM (5 3 5 FIGURE IV INTERCONNECTION GRAPH OF SYSTEM ( a T 0s b T 04s FIGURE II TRAJECTORIES OF SYSTEM (5 From Fgur I th dgrs of v ar 3 By Thorm n ordr to rach th group consnsus of ntworks th allowd nput dlays of v should hold T / 06s Basd on th abov xprmnts w conduct xprmnts on th followng stuatons Th stat tractors of systm (5 ar plottd n FgurIII a T 06s b T 06s FIGURE III STATE TRAJECTORIES OF SYSTEM (5 From FgurIII t llustrats that systm (5 wll not rach group consnsus Compard wth th rsult n [5] t s clar that th uppr bound of th tm dlay w drvd s mor accurat B Exprmnt II W consdr th topology of th ntwork ( wth 5 nods plottd n Fgur IV Th ntal stats of agnts ar x(0 [ ] T Lt T 04s and nput dlays of ach nod ar 06s 07s 03s 04s and 0s rspctvly Th stat tractors of ( ar shown n Fgur V (a Th group consnsus s achvd By th condton of Thorm w can larn that d% and th nput dlay satsfs T / s If st T 079s and th dlays of othr nods kpng unchangd from Fgur V (b w larn that th a T 06s b T 079s FIGURE V DYNAMIC BEHAVIORS OF SYSTEM ( V CONCLUSION For frst-ordr ntworks ths tchncal survy s amd at xplorng th ssu of group consnsus of mult-agnt ntworks wth dvrs communcaton and nput dlays By th thory of frquncy-doman som algbrac crtra of th group consnsus ar drvd It can b shown that th group consnsus of ntworks s dtrmnd by ownng nput dlays and conncton strngths ndpndnt of communcaton dlays Howvr th xstnc of communcaton dlays wll affct th convrgnc spd of ntworks Du to varous rasons th topology of complx ntworks typcally changs thus our futur work wll nvstgat th group consnsus ssu for dvrs dlays undr swtchng topologs ACKNOWLEDGMENT Ths work was supportd by th Natonal Natural Scnc Foundaton of Chna (Grant No th Natural Scnc Foundaton Proct of Chongqng Scnc and Tchnology Commsson (Grant Nos cstc04cya40047 cstc03cya4007 and th Scntfc and Tchnologcal Rsarch Program of Chongqng Muncpal Educaton Commsson (Grant No KJ Th authors also would lk to thank anonymous rvwrs REFERENCES [] P Yang R Frman G Gordon K Lynch S Srnvasa R Sukthankar Dcntralzd stmaton and control of graph connctvty for mobl snsor ntworks Automatca 00 vol 46 pp [] S Charalambos V Vasos P Arstodmos Congston control n wrlss snsor ntworks through dynamc altrnatv path slcton Computr Ntworks 04 vol 75 pp

5 [3] T Vcsk A Czrok E Bn-Jacob O Cobn I Shocht Novl typ of phas transton n a systm of slf-drvn partcls Physcal Rvw Lttrs 995 pp 6-9 [4] D Lan K Jns R Ngl A Smon Effctv ladrshp and dcsonmakng n anmal groups on th mov Natur 005 pp [5] J Y Yu L Wang Group consnsus of mult-agnt systms wth undrctd communcaton graph IEEE Xplor Chna pp 05-0 August 009 [Procdng of th 7th Asan Control Confrnc Hong Kong Chna 009] [6] J Y Yu L Wang Group consnsus of mult-agnt systms wth drctd nformaton xchang Intrnatonal Journal of Systms Scnc vol 43 pp August 0 [7] J Y Yu L Wang Group consnsus n mult-agnt systms wth swtchng topologs and communcaton dlays Systm and Control Lttrs vol 59 pp Jun 00 [8] C Tan G P Lu Group consnsus of ntworkd mult-agnt systms wth drctd topology Mllano August 0 [Prprnts of th 8th IFAC World Congrss 0] [9] W Wu W J Zhou T P Zhou Clustr Synchronzaton of Lnarly Coupld Complx Ntworks Undr Pnnng Control IEEE Transactons vol 56 pp Aprl 009 [0] X F Lao L H J On pnnng group consnsus for dynamcal multagnt ntworks wth gnral connctd topology Nurocomputng July 04 pp 6-67 [] M H Wang k Uchda Clustr Consnsus of Mult-agnt systm wth communcaton dlay Control Automaton and Systms pp 67-6 Octobr 03 [3th Intrnatonal confrnc on control automaton and systms 03] [] H X Hu L Yu W Zhang H Y Song Group consnsus n multagnt systms wth hybrd protocol Journal of th Frankln Insttut vol 350 pp Aprl 03 [3] L H J X F Lao Q Lu Group consnsus analyss of mult-agnt systms wth dlays Acta Phys Sn vol 6 0 [4] Q Wang Y Z Wang R M Yang Dsgn and analyss of groupconsnsus protocol for a class of mult-agnt systms Control and Dcson vol 8 March 03 [5] X Y Du Y Z Wang Q Wang Wghtd group-consnsus analyss of mult-agnt systms wth and wthout tm-dlay ntwork Control and Dcson pp July 05 [6] C Godsl G Royl Algbrac graph thory Nw York: Sprngr- Vrlag 00 [7] W Rn R W Bard Consnsus skng n multagnt systms undr dynamcally changng ntracton topologs IEEE Transactons on Automatc Control vol 50 pp May 005 [8] Y Tan H Yang Stablty of dstrbutd congston control wth dvrs communcaton dlays Intllgnt Control and Automaton vol pp Jun 004 [th 5th World Congrss on Intllgnt Control and Automaton 004] [9] H Y Yang S W Tan S Y Zhang Consnsus of mult-agnt systms wth htrognous dlays and ladr-followng Acta Elctronca Snca vol 39 pp

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

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

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

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

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

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

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

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

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

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

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays Itratoal Cofrc o Appld Mathmatcs, Smulato ad Modllg (AMSM 6) Group Cossus of Scod-Ordr Mult-agt Ntworks wth Multpl Tm Dlays Laghao J* ad Xyu Zhao Chogqg Ky Laboratory of Computatoal Itllgc, Chogqg Uvrsty

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

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

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

MATCHED FILTER BOUND OPTIMIZATION FOR MULTIUSER DOWNLINK TRANSMIT BEAMFORMING

MATCHED FILTER BOUND OPTIMIZATION FOR MULTIUSER DOWNLINK TRANSMIT BEAMFORMING MATCHED FILTER BOUND OPTIMIZATION FOR MULTIUSER DOWNLINK TRANSMIT BEAMFORMING Guspp Montalbano? and Drk T. M. Slock?? Insttut Eurécom 2229 Rout ds Crêts, B.P. 193, 06904 Sopha Antpols CEDEX, Franc E-Mal:

More information

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions 9 Strss-Basd Fnt Elmnt Mthods for Dynamcs Analyss of Eulr-Brnoull Bams wth Varous Boundary Condtons Abstract In ths rsarch, two strss-basd fnt lmnt mthods ncludng th curvatur-basd fnt lmnt mthod (CFE)

More information

Strongly Connected Components

Strongly Connected Components Strongly Connctd Componnts Lt G = (V, E) b a dirctd graph Writ if thr is a path from to in G Writ if and is an quivalnc rlation: implis and implis s quivalnc classs ar calld th strongly connctd componnts

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

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES 13 th World Confrnc on Earthquak Engnrng Vancouvr, B.C., Canada August 1-6, 4 Papr No. 485 ORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WIT VARIABLE PROPERTIES Mngln Lou 1 and Wnan Wang Abstract:

More information

A Packet Buffer Evaluation Method Exploiting Queueing Theory for Wireless Sensor Networks

A Packet Buffer Evaluation Method Exploiting Queueing Theory for Wireless Sensor Networks DOI: 10.2298/CSIS110227057Q A Packt Buffr Evaluaton Mthod Explotng Quung Thory for Wrlss Snsor Ntworks T Qu 1,2, Ln Fng 2, Fng Xa 1*, Guow Wu 1, and Yu Zhou 1 1 School of Softwar, Dalan Unvrsty of Tchnology,

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

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

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

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

An Overview of Markov Random Field and Application to Texture Segmentation

An Overview of Markov Random Field and Application to Texture Segmentation An Ovrvw o Markov Random Fld and Applcaton to Txtur Sgmntaton Song-Wook Joo Octobr 003. What s MRF? MRF s an xtnson o Markov Procss MP (D squnc o r.v. s unlatral (causal: p(x t x,

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

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

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

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

Three-Node Euler-Bernoulli Beam Element Based on Positional FEM

Three-Node Euler-Bernoulli Beam Element Based on Positional FEM Avalabl onln at www.scncdrct.com Procda Engnrng 9 () 373 377 Intrnatonal Workshop on Informaton and Elctroncs Engnrng (IWIEE) Thr-Nod Eulr-Brnoull Bam Elmnt Basd on Postonal FEM Lu Jan a *,b, Zhou Shnj

More information

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

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

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

Chapter 6 Student Lecture Notes 6-1

Chapter 6 Student Lecture Notes 6-1 Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn

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

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

CHAPTER 4. The First Law of Thermodynamics for Control Volumes

CHAPTER 4. The First Law of Thermodynamics for Control Volumes CHAPTER 4 T Frst Law of Trodynacs for Control olus CONSERATION OF MASS Consrvaton of ass: Mass, lk nrgy, s a consrvd proprty, and t cannot b cratd or dstroyd durng a procss. Closd systs: T ass of t syst

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

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

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

ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS

ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS ON EISENSTEIN-DUMAS AND GENERALIZED SCHÖNEMANN POLYNOMIALS Anuj Bshno and Sudsh K. Khanduja Dpartmnt of Mathmatcs, Panjab Unvrsty, Chandgarh-160014, Inda. E-mal: anuj.bshn@gmal.com, skhand@pu.ac.n ABSTRACT.

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

On-Line Safe Path Planning in Unknown Environments

On-Line Safe Path Planning in Unknown Environments Procdngs of th 2003 IEEE Intrnatonal Confrnc on Robotcs & Automaton Tap, Tawan, Sptmbr 14-19, 2003 On-Ln Saf Path Plannng n Unknown Envronmnts Chn Wdong, Fan Changhong and X Yugng Insttut of Automaton

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

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES CHOOL O ENGINEERING - TI IGNAL PROCEING INTITUTE Lornzo Potta and Prr Vandrghynst CH-1015 LAUANNE Tlphon: 4121 6932601 Tlfax: 4121 6937600 -mal: lornzo.potta@pfl.ch ÉCOLE POLYTECHNIQUE ÉDÉRALE DE LAUANNE

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

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

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation. MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H

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

A New Competitive Ratio for Network Applications with Hard Performance Guarantees

A New Competitive Ratio for Network Applications with Hard Performance Guarantees A Nw Compttv Rato for Ntwork Applcatons wth Hard Prformanc Guarants Han Dng Dpartmnt of ECE Txas A&M Unvrsty Collg Staton, TX 77840, USA Emal: hdng@maltamudu I-Hong Hou Dpartmnt of ECE Txas A&M Unvrsty

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

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

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

On the Capacity-Performance Trade-off of Online Policy in Delayed Mobile Offloading

On the Capacity-Performance Trade-off of Online Policy in Delayed Mobile Offloading On th Capacty-Prformanc Trad-off of Onln Polcy n Dlayd Mobl Offloadng Han Dng and I-Hong Hou Abstract WF offloadng, whr mobl usrs opportunstcally obtan data through WF rathr than cllular ntworks, s a promsng

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

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

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

Naresuan University Journal: Science and Technology 2018; (26)1

Naresuan University Journal: Science and Technology 2018; (26)1 Narsuan Unvrsty Journal: Scnc and Tchnology 018; (6)1 Th Dvlopmnt o a Corrcton Mthod or Ensurng a Contnuty Valu o Th Ch-squar Tst wth a Small Expctd Cll Frquncy Kajta Matchma 1 *, Jumlong Vongprasrt and

More information

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China An Application of Hardy-Littlwood Conjctur JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that wakr Hardy-Littlwood

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

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

Econ107 Applied Econometrics Topic 10: Dummy Dependent Variable (Studenmund, Chapter 13)

Econ107 Applied Econometrics Topic 10: Dummy Dependent Variable (Studenmund, Chapter 13) Pag- Econ7 Appld Economtrcs Topc : Dummy Dpndnt Varabl (Studnmund, Chaptr 3) I. Th Lnar Probablty Modl Suppos w hav a cross scton of 8-24 yar-olds. W spcfy a smpl 2-varabl rgrsson modl. Th probablty of

More information

On spanning trees and cycles of multicolored point sets with few intersections

On spanning trees and cycles of multicolored point sets with few intersections On spanning trs and cycls of multicolord point sts with fw intrsctions M. Kano, C. Mrino, and J. Urrutia April, 00 Abstract Lt P 1,..., P k b a collction of disjoint point sts in R in gnral position. W

More information

Space Information Flow: Multiple Unicast

Space Information Flow: Multiple Unicast Spac Informaton Flow: Multpl Uncast Zongpng L Dpt. of Computr Scnc, Unvrsty of Calgary and Insttut of Ntwork Codng, CUHK zongpng@ucalgary.ca Chuan Wu Dpartmnt of Computr Scnc Th Unvrsty of Hong Kong cwu@cs.hku.hk

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN Intrnational Journal of Scintific & Enginring Rsarch, Volum 6, Issu 7, July-25 64 ISSN 2229-558 HARATERISTIS OF EDGE UTSET MATRIX OF PETERSON GRAPH WITH ALGEBRAI GRAPH THEORY Dr. G. Nirmala M. Murugan

More information

EXTENDED MULTISCALE FINITE ELEMENT METHOD FOR GEOMETRICALLY NONLINEAR ANALYSIS OF THIN COMPOSITE PLATES ON BENDING PROBLEMS

EXTENDED MULTISCALE FINITE ELEMENT METHOD FOR GEOMETRICALLY NONLINEAR ANALYSIS OF THIN COMPOSITE PLATES ON BENDING PROBLEMS 21 st Intrnatonal Confrnc on Compost Matrals X an, 20-25 th August 2017 XTNDD MULTISCAL FINIT LMNT MTHOD FOR GOMTRICALLY NONLINAR ANALYSIS OF THIN COMPOSIT PLATS ON BNDING PROBLMS Mngfa Rn 1, J Cong 1

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

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12 EEC 686/785 Modlng & Prformanc Evaluaton of Computr Systms Lctur Dpartmnt of Elctrcal and Computr Engnrng Clvland Stat Unvrsty wnbng@.org (basd on Dr. Ra Jan s lctur nots) Outln Rvw of lctur k r Factoral

More information

Authentication Transmission Overhead Between Entities in Mobile Networks

Authentication Transmission Overhead Between Entities in Mobile Networks 0 IJCSS Intrnatonal Journal of Computr Scnc and twork Scurty, VO.6 o.b, March 2006 Authntcaton Transmsson Ovrhad Btwn Entts n Mobl tworks Ja afr A-Sararh and Sufan Yousf Faculty of Scnc and Tchnology,

More information

??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time.

??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time. Elctroncphalography EEG Dynamc Causal Modllng for M/EEG ampltud μv tm ms tral typ 1 tm channls channls tral typ 2 C. Phllps, Cntr d Rchrchs du Cyclotron, ULg, Blgum Basd on slds from: S. Kbl M/EEG analyss

More information

Search sequence databases 3 10/25/2016

Search sequence databases 3 10/25/2016 Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an

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

arxiv: v1 [math.pr] 28 Jan 2019

arxiv: v1 [math.pr] 28 Jan 2019 CRAMÉR-TYPE MODERATE DEVIATION OF NORMAL APPROXIMATION FOR EXCHANGEABLE PAIRS arxv:190109526v1 [mathpr] 28 Jan 2019 ZHUO-SONG ZHANG Abstract In Stn s mthod, an xchangabl par approach s commonly usd to

More information

Quantum-Inspired Bee Colony Algorithm

Quantum-Inspired Bee Colony Algorithm Opn Journal of Optmzaton, 05, 4, 5-60 Publshd Onln Sptmbr 05 n ScRs. http://www.scrp.org/ournal/oop http://dx.do.org/0.436/oop.05.43007 Quantum-Insprd B Colony Algorthm Guoru L, Mu Sun, Panch L School

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

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

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction Int. J. Opn Problms Compt. Math., Vol., o., Jun 008 A Pry-Prdator Modl with an Altrnativ Food for th Prdator, Harvsting of Both th Spcis and with A Gstation Priod for Intraction K. L. arayan and. CH. P.

More information

MUSIC Based on Uniform Circular Array and Its Direction Finding Efficiency

MUSIC Based on Uniform Circular Array and Its Direction Finding Efficiency Intrnatonal Journal of Sgnal Procssng Systms Vol. 1, No. 2 Dcmbr 2013 MUSIC Basd on Unform Crcular Array and Its Drcton Fndng Effcncy Baofa Sun Dpartmnt of Computr Scnc and Tchnology, Anhu Sanlan Unvrsty,

More information

Study interaction between intensive circularly polarized laser and hydrogen atom using a matrix method

Study interaction between intensive circularly polarized laser and hydrogen atom using a matrix method ISBN 978-1-84626-020-9 Procdngs of 3 rd Intrnatonal Workshop on Matrx Analyss angzhou,p.r.chna.july 9-13, 2009, pp. 199-202 ( Wll st y th pulshr ) Study ntracton twn ntnsv crcularly polarzd lasr and hydrogn

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

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

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

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

Epistemic Foundations of Game Theory. Lecture 1

Epistemic Foundations of Game Theory. Lecture 1 Royal Nthrlands cadmy of rts and Scncs (KNW) Mastr Class mstrdam, Fbruary 8th, 2007 Epstmc Foundatons of Gam Thory Lctur Gacomo onanno (http://www.con.ucdavs.du/faculty/bonanno/) QUESTION: What stratgs

More information

GPC From PeakSimple Data Acquisition

GPC From PeakSimple Data Acquisition GPC From PakSmpl Data Acquston Introducton Th follong s an outln of ho PakSmpl data acquston softar/hardar can b usd to acqur and analyz (n conjuncton th an approprat spradsht) gl prmaton chromatography

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

CONTINUOUS REVIEW INVENTORY MODELS UNDER TIME VALUE OF MONEY AND CRASHABLE LEAD TIME CONSIDERATION

CONTINUOUS REVIEW INVENTORY MODELS UNDER TIME VALUE OF MONEY AND CRASHABLE LEAD TIME CONSIDERATION Yugoslav Journal of Opratons Rsarch (), Numbr, 93-36 OI: 98/YJOR93H CONTINUOUS REVIEW INVENTORY MOES UNER TIME VAUE OF MONEY AN CRASHABE EA TIME CONSIERATION Kuo-Chn HUNG partmnt of ogstcs Managmnt, Natonal

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

Approximation and Inapproximation for The Influence Maximization Problem in Social Networks under Deterministic Linear Threshold Model

Approximation and Inapproximation for The Influence Maximization Problem in Social Networks under Deterministic Linear Threshold Model 20 3st Intrnational Confrnc on Distributd Computing Systms Workshops Approximation and Inapproximation for Th Influnc Maximization Problm in Social Ntworks undr Dtrministic Linar Thrshold Modl Zaixin Lu,

More information

Spectral stochastic finite element analysis of structures with random field parameters under bounded-but-uncertain forces

Spectral stochastic finite element analysis of structures with random field parameters under bounded-but-uncertain forces Southrn Cross Unvrsty Publcatons@SCU 23rd Australasan Confrnc on th Mchancs of Structurs and Matrals 24 Spctral stochastc fnt lmnt analyss of structurs wth random fld paramtrs undr boundd-but-uncrtan forcs

More information

Limiting value of higher Mahler measure

Limiting value of higher Mahler measure Limiting valu of highr Mahlr masur Arunabha Biswas a, Chris Monico a, a Dpartmnt of Mathmatics & Statistics, Txas Tch Univrsity, Lubbock, TX 7949, USA Abstract W considr th k-highr Mahlr masur m k P )

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

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

Approximately Maximizing Efficiency and Revenue in Polyhedral Environments

Approximately Maximizing Efficiency and Revenue in Polyhedral Environments Approxmatly Maxmzng Effcncy and Rvnu n olyhdral Envronmnts Thành Nguyn Cntr for Appld Mathmatcs Cornll Unvrsty Ithaca, NY, USA. thanh@cs.cornll.du Éva Tardos Computr Scnc Dpartmnt Cornll Unvrsty Ithaca,

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scinc March 15, 005 Srini Dvadas and Eric Lhman Problm St 6 Solutions Du: Monday, March 8 at 9 PM in Room 3-044 Problm 1. Sammy th Shark is a financial srvic providr

More information

THE joint congestion-control and scheduling problem in

THE joint congestion-control and scheduling problem in IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 20, NO. 10, OCTOBER 2009 1393 A Class of Cross-Layr Optmzaton Algorthms for Prformanc and Complxty Trad-Offs n Wrlss Ntworks aoyng Zhng, Fng

More information

Lifting Constructions of Strongly Regular Cayley Graphs

Lifting Constructions of Strongly Regular Cayley Graphs Lftng Constructons of Strongly Rgular Cayly Graphs Koj Momhara Qng Xang Abstract W gv two lftng constructons of strongly rgular Cayly graphs. In th frst constructon w lft a cyclotomc strongly rgular graph

More information