The JCSS Probabilistic Model Code for Timber Examples and Discussion
|
|
- Bruce Johns
- 5 years ago
- Views:
Transcription
1 The JCSS Probablsc Model Code for Tmber Examples and Dscusson Jochen Köhler Research Assocae Mchael Faber Professor Insue of Srucural Engneerng Swss Federal Insue of Technology Zurch, Swzerland 1. Inroducon Durng he las decades srucural relably mehods have been furher developed, refned and adaped and are now a a sage where hey are beng appled n praccal engneerng problems as a decson suppor ool n connecon wh desgn and assessmen of srucures. Furhermore, basc knowledge concernng he acons on srucures and he maeral characerscs has mproved due o ncreased focus, beer measurng echnques and nernaonal research co-operaon. Ths knowledge has now reached a level where enables expers o ake no accoun unceranes n maeral properes and acons when assessng he load carryng capacy, servceably and servce lfe of srucures. Ths s no leas due o he fundamenal works on srucural relably mehods performed whn he Jon Commee on Srucural Safey (JCSS) ncludng, among ohers, he basc repors on acons on srucures, basc repors on maeral ressances and he gudelne for relably based assessmen of srucures. These documens provde general gudelnes for he use of srucural relably mehods n praccal applcaons and a he same me hese documens consue he bass for ensurng ha such analyss are performed on a heorecally conssen and comparave bass. The recen renforcemens n provdng such a bass for desgn are condensed n he almos complee JCSS Probablsc Model Code (PMC) [1]. In lne wh he ongong jon effors o complee he JCSS Probablsc Model Code, a chaper abou he probablsc modellng of mber maeral properes has been added recenly. The proposed probablsc model for mber maeral properes s srucured no several levels of sophscaon. The basc level reflecs he recen pracce for relably based code calbraon. The bendng srengh and sffness and he densy of mber are referred o as reference maeral properes and are nroduced as smple random varables. Furhermore, several possble refnemens are proposed. New nformaon mgh be nroduced, and s shown how dfferen ypes of new nformaon can be negraed by usng a Bayesan updang scheme. Refnemens n regard o he modellng of damage as a consequence of me load duraon are proposed. For he bendng srengh, a herarchcal spaal varably model s proposed and a mehod s presened for lnkng he properes of a cross secon (whch s consdered as he reference sarng pon for he modellng of spaal varably) wh he properes of a es specmen. In hs paper, several examples demonsrae he applcably of he probablsc model code for dfferen problems n mber research, engneerng and code wrng. General reference s made o he JCSS PMC and he neresed reader s nved o oban hs documen from JCSS [1].
2 2. Applcaons and Examples 2.1. Relably Based Code Calbraon In Faber and Sorensen [2] he prncples of relably based code calbraon s demonsraed. In he followng he approach followed here s llusraed along wh an example on code calbraon for a mber desgn code. Relably analyss of srucures for he purpose of code calbraon n general or for he relably verfcaon of specfc srucures requres ha he relevan falure modes be represened n erms of lm sae funcons. The lm sae funcons defne he realzaons of ressance parameers,.e. he maeral properes and he load varables resulng n srucural falure. In code based desgn formas such as he Eurocodes [3], desgn equaons are prescrbed for he verfcaon of he capacy of dfferen ypes of srucural componens n regard o dfferen modes of falure. The ypcal forma for he verfcaon of a srucural mber componen n Eurocode 5 [4] s gven as a desgn equaon n he followng form: r g k z s = k [1] = k mod d ψγ s,, 0 γ M where r k s he characersc value for he ressance, zd s a vecor of desgn varables (e.g. he cross secon of a mber beam), s k, are he characersc values of load effecs whch are consdered n he desgn, γ M and γ s, are paral safey facors for he ressance and he loads respecvely. When more han one varable load s acng, load combnaon facors ψ are mulpled on one or more of he varable load componens o ake no accoun he fac ha s unlkely ha all varable loads are acng wh exreme values a he same me. k s a mod modfcaon facor akng no accoun he effec of he duraon of load and mosure. In hs example kmod s assumed o be uny,.e. no load duraon and mosure effecs are consdered. Accordng o Eq. [1] falure F corresponds o an even defned by F = { g 0}. The paral safey facors ogeher wh he characersc values are nroduced n order o ensure a ceran mnmum relably level for he srucural componens desgned accordng o desgn equaons as e.g. gven n Eq. [1]. As dfferen maerals have dfferen unceranes assocaed wh her maeral parameers he paral safey facors are n general dfferen for he dfferen maerals. In accordance wh a gven desgn equaon, such as e.g. Eq. [1], a relably analyss may be performed based on a lm sae funcon of smlar form as: G = z dxr S = 0 [2] where R and S are he ressance and he load effecs as random varables and X a he model uncerany. Wh gven probablsc models for X, R and S he relably of a srucural mber componen desgned accordng o Eq. [1] wh a gven se of paral safey facors and characersc values can be checked by usng sandard procedures as e.g. FORM/SORM (see e.g. Madsen [5]). The am of relably based code calbraon s he calbraon of paral safey facors such ha he relably correspondng o dfferen ypcal desgn suaons are as close as possble o a specfed value for he arge relably. Recommendaons for suable arge relables are provded by e.g. he JCSS [1] or ISO [6]. Dfferen desgn suaon mgh be consdered e.g. hrough dfferen conrbuons of dfferen load effecs, n he case of he lm sae funcons n Eqs. [1] and [2], and consderng wo load effecs due o permanen and varable load respecvely, hs mgh be nroduced hrough a facor α = L = 1,2,..., Las:
3 r g = z αγ s ( 1 α ) γ s = 0 α = L = 1,2,..., L [3] k d G G, k Q Q, k γ M ( 1 α ) G = zdxr αsg SQ = 0 α = L = 1,2,..., L [4] where s and Gk, sq, k are he characersc values of he load effecs due o permanen and varable load respecvely, S and S are he wo load effecs as random varables. G Q Accordngly, he followng opmzaon problem can be formulaed, [2]: L ( ) 2 ( ) w ( ) mnw γ = β γ β [5] γ = 1 β s he relably ndex correspondng o he arge relably, ( ) where β γ s he relably ndex correspondng o a desgn performed wh a se of paral safey facors γ and w, are = 1,2,..., L facors ndcang relave frequency / mporance of he dfferen desgn suaons. The code calbraon procedure as descrbed above s already ncluded n he sofware package CodeCal, a MS EXCEL based sofware, whch s provded as freeware by he JCSS [7]. In he T followng, he paral safey facors γ = ( γ M, γg, γq) are calbraed usng CodeCal. The calbraon akes bass n Eqs.[3]-[5]. The probablsc model of he random varables of he problem are chosen as proposed n he JCSS PMC [1] and shown n Tab. 1. Tab. 1 Parameers used n he example and resuls. From he JCSS PMC [1] Par. safey facors COV Ds. Type Quanle EC 5 Opmzed, β = 4.2 (yearly) Ressance 0.25 Lognormal 5% Model uncerany 0.05 Lognormal Effec of perm. load 0.1 Normal 50% Effec of var. load 0.4 Gumbel 98% L = 10 desgn suaons are consdered (see Eqs. [3]-[5]). Relably Index Fg. 1 Targe Calbraed EC 5 Relably ndex correspondng o dfferen desgn suaons. For a chosen arge relably ndex β = 4.2 (yearly, as recommended n he JCSS PMC [1]) he paral safey facors are calbraed by solvng Eq. [5]. The calbraed se of paral safey facors ogeher wh he paral safey facors prescrbed n EC 5 s gven n Tab. 1. In Fg. 1 he relably ndex β s ploed over he dfferen desgn suaons represened by dfferen values of α. I s shown ha he se of paral safey facors prescrbed n EC 5 [4] s no correspondng o he opmal se f all paral safey facors are subjec o calbraon. In load and ressance facor desgn (LRFD) formas as EC 5, however, paral safey facors for load effecs are n general smlar and ndependen from he srucural maeral whch s ulzed. Therefore, code calbraon procedures should nvolve all
4 possble buldng maerals,.e. calbrae paral safey facors consderng all relevan desgn suaons and maerals. The sofware package CodeCal faclaes hs opon. For he valdy of he resuls of a code calbraon procedure, s of umos mporance ha he basc random varables ulzed n he analyss are quanfed based on he bes knowledge avalable. The JCSS PMC [1] provdes a se of probablsc models, whch can be used f no oher nformaon abou he varables s avalable. E.g. for he mber bendng srengh, a lognormal dsrbuon wh COV = 0.25 s suggesed. However, f new nformaon (drec or ndrec) s avalable, he suggesed dsrbuon should be consdered as a pror dsrbuon n a Bayesan updang scheme (as descrbed n more deal n he JCSS PMC [1]) Probablsc Desgn of a Srucural Componen The probablsc desgn of a smple mber beam as llusraed n Fg. 2 s consdered n hs example. The arge relably ndex s specfed o β arge = 4.2 (yearly) and he hegh h of he beam should be desgned by gven wdh b and span l of he beam. I s known ha he mber of hs beam s graded o C30 (EN 338, [8]), whch corresponds o a characersc value for he bendng srengh r mk, = 30MPa and a mean value for he modulus of elascy of moe mmean, = MPa. I s also known ha a reasonable probablsc model of he load S s he ( S ) ( S ) Gumbel dsrbuon wh mean value Mean = 10 KN and sandard devaon SDev = 4 kn. The gven nformaon s summarzed n Tab. 2 and n Fg. 2. Tab. 2 Gven Informaon for he Probablsc Desgn Bendng Srengh (C30) Varable Load MOE (C30) Char. Value r mk, = 30MPa Mean Value moe mmean, = 12 GPa Rm Lognormal dsrbued, COV = 0.25 accordng PMC ( R m ) Mean = 46.4 MPa ( ) R m SDev S Gumbel dsrbued () S Mean = 10 kn () S SDev = 4 kn MOEm Lognormal dsrbued, COV = 0.13 accordng PMC ( MOE m ) Mean = 12 GPa ( MOE m ) SDev = 1.56 GPa b, h Fg. 2 Ss, l b= 150mm l = 6m Smple beam wh cenre load. The ulmae lm sae funcon s gven as: 2 G bh R Sl = / = 0 [6] The beam hegh whch corresponds o he arge relably ndex β arge = 4.2 (yearly) s calculaed as h = 293 mm. The sofware package SYSREL [9] s used and he frs order relably mehod (FORM) s choosen as he solvng opon Relably updang The relably of he beam desgned n hs example mgh be updaed by usng addonal nformaon. E.g. nformaon abou he beam sffness can be ulzed, as could be he resul of a md-span deflecon measuremen u m of he beam susanng a proof load s = 10 kn. The nformaon of he measuremen can be consdered by defnng a lm sae funcon as
5 3 = m48 m [7] H u MOE I sl where I s he momen of nera of he beam. If H = 0 he MOEm -value corresponds exacly o he suaon ha he deflecon s as measured. Relably Index Fg u [mm] m Updaed relably ndex over he correspondng deflecon measuremens. Assumng ha he mber modulus of elascy and he bendng srengh are correlaed, e.g. as gven n he JCSS PMC [1] wh ρ = 0.8, he falure probably P f can be updaed by solvng P G P = P G H = = f ( 0 0) where P( G 0 H 0) ( 0 H = 0) P( H = 0) [8] = s he probably of lm sae volaon, G 0, by gven md-span deflecon measuremen u m, H = 0. The sofware package SYSREL [9] s used o solve Eq. [8] for dfferen possble deflecon measuremens. The updaed relably ndex s ploed over dfferen possble measuremens n Fg. 3. Noe ha no model uncerany s consdered n Eqs. [6] and [7] for smplcy reasons Comparson of dfferen bendng es confguraons Tmber maeral properes are n general assessed by performng ess accordng o sandard es procedures whch are prescrbed n dfferen naonal and nernaonal codes. E.g. for he evaluaon of he bendng srengh, common es sandards are: n Europe he sandard EN 408 [10] ogeher wh EN 384 [11], n he Uned Saes s he ASTM D ogeher wh ASTM D [12] and n Ausrala / New Zealand s he sandard AS/NZ 4063:1992 [13]. In Tab. 3 he es specfcaons accordng o he dfferen sandards are llusraed. Whle he specfcaons n regard o he geomery and he clmae condonng of he es specmen s smlar, he prescrbed expeced me unl falure accordng o he Norh Amercan es sandard s 60 seconds, accordng o he European and Ausralan es sandard s 300 seconds. I can be expeced ha he srengh measuremens are sensve o he dfference of specfed me unl falure and he effec mgh be assessed by usng one of he DOL models proposed n he JCSS PMC [1]. Tab. 3 An overvew comparson beween dfferen bendng srengh es procedures. Orgn/Code Europe/EN 408 and EN 384 Norh Amerca/ ASTM D and Ausrala/New Zealand AS/NZ 4063:1992 Geomery 4 pon bendng L = 18 H H = 150 mm 4 pon bendng L = 17 H 21 H H = 150 mm 4 pon bendng L = 18 H H = 150 mm Clmae/Mosure Conen Condoned a Temp.: 20 C Rel. Hum.: 65% Mosure Conen: 13% Condoned a Temp.: 20 C Rel. Hum.: 65% Loadng/Tme o falure Ramp load, Tme o falure: 300 s ± 120 s Ramp load, Tme o falure: 60 s ~ (10s, 600s) Ramp load, Tme o falure: 300 s ± 120 s Bas (By judgmen) weakes secon n he mddle. Tenson sde random. (By judgmen) weakes secon whn suppors. Tenson sde random. In hs example s focused on he dfferen provsons for how o place a beam whn he suppors of he four pon bendng arrangemen (compare Fg. 4). -
6 Europe Uned Saes Ausrala Fg. 4 Illusraon of he effec of dfferen weak secon placng specfcaons; Europe (EN 384, weak secon beween load applcaon), Uned Saes (ASTM D , weak secon beween suppors), Ausrala (AS 4063:1992, weak secon a random). To llusrae he effec of he weak secon placng specfcaon, he model derved by Isaksson [14], s ulzed for smulaons. The model s used as s presened n he JCSS PMC [1] and he model parameers are quanfed as presened n Fg. 5. ln(bendng srengh) m, j ( v + ) R = exp + j [ MPa] ln(r ) j j ( ) v Normal 4.03;0.25 ( ) Normal 0;0.19 ( ) Normal 0;0.16 ( )[ mm] X Exponenal 1/480 x j longudnal drecon of he beam Fg. 5 Model for he spaal varaon of he bendng srengh and model parameers used n he presened example. A mber beam s consdered as a longudnal sequence of weak secons. In Fg. 5 v s he unknown logarhm of he mean srengh of all secons n all componens, ϖ s he dfference beween he logarhm of he mean srengh of he secons whn a componen and χj s he dfference beween he srengh weak secon j n he beam and ϖ. v, ϖ and χ j are modelled as ndependen normal dsrbued random varables. The Mone Carlo Smulaon echnque (see e.g. Melchers [15]) s used for he probably assessmen. I s assumed ha he beams have a lengh of 5 m bendng componens are smulaed wh a weak secon dsrbuon as ndcaed n Fg. 5. The componens are esed vrually accordng o he hree dfferen bendng srengh es specfcaons llusraed n Fg. 4. The obaned vrual srengh daa s ulzed o calbrae he parameers of a lognormal dsrbuon. The correspondng dsrbuon funcons are ploed ogeher wh he dsrbuon funcon of he
7 srengh of he weak secons n Fg. 6. The parameers of he dsrbuon funcons are also gven n Fg. 6. The dsrbuon funcons shown n Fg. 6 llusrae he dfference beween he bendng srengh of es specmen and he bendng srengh of all weak secons. As nroduced n he probablsc model code he bendng srengh of a weak secon corresponds o he bendng srengh of a reference volume. An neresng queson concernng he probablsc modellng of mber maeral properes s how o relae measuremens on es specmen rms, o he properes of reference volumes. For he gven example a smple relaon s found wh he form: r m,0 r ϑ m,0 rm, s = [9] The parameer ϑ s calbraed for dfferen es sandards by usng he leas squares echnque. The resuls are also gven n Fg. 6. Accordng o Eq. [9] he parameers ξ and δ of he lognormal dsrbuon can be relaed as: ξ ( ξr ) m s rm,0, ϑ = [10] ( r ) m s δ = δ ϑ rm,0, [11] 1 Dsrbuon parameers correspondng o he model descrbed above: 0.8 US Weak secons Probably Europe weak secon Europe Uned Saes Ausrala Ausrala Bendng Srengh [MPa] EN US AUS Fg. 6 Comparson of dsrbuon funcons and her lognormal parameers of smulaed bendng es specmen accordng o dfferen naonal es sandards. I should be underlned ha he gven example s based on he whn componen bendng srengh varaon model and he correspondng model parameers as presened n Isaksson [14] and JCSS PMC [1]. The resuls presened n hs example are also sensve o he assumed lengh of he es specmen. 3. Conclusons and Dscusson In he recen verson of he JCSS PMC [1] probablsc models for he basc mber maeral properes have been ncluded. The documen ncludes ndcave numercal values for he model
8 parameers and refnemens relaed o updang of he probablsc model gven new nformaon, spaal varaon of srengh and duraon of load effecs are descrbed. In he presen paper s demonsraed how he proposed model mgh be mplemened for ypcal problems n mber research, engneerng and code wrng. The JCSS PMC [1] can be seen as a gudelne and common reference for probably based code calbraon of mber desgn codes. The parameers of he proposed models, however, need o be quanfed on a broad and represenave daa base. Comprehensve expermenal daa concernng he basc mber phenomena already exs, especally resulng from research projecs n Norh Amerca, Europe and Ausrala. One major ask for developng furher he presened model code s o collec and assess exsng expermenal daa. The mber research communy s asked o conrbue by makng avalable expermenal daa for he quanfcaon of model parameers for mber predomnanly used for mber desgn. References 1. JCSS. Jon Commee on Srucural Safey - Probablsc Model Code. hp:// Faber M.H. and Sørensen J.D. Relably Based Code Calbraon - The JCSS Approach Proceedngs o he 9h Inernaonal Mechansms for Concree Srucures n Cvl Engneerng ICASP, San Francsco, USA. 3. Eurocode_0, EN 1990:2002 'Bass of Srucural Desgn'. 2002, European Commee for Sandardzaon (CEN). 4. Eurocode5, Eurocode 5 - ENV :2004 'Desgn of Tmber Srucures - Par 1-1: General'. 2004: European Commee for Sandardzaon (CEN). 5. Borg, M., Relable mber connecons. Progress n Srucural Engneerng and Maerals, (3): p ISO_2394, General Prncples on Relably for Srucures 1998, Inernaonal Organsaon for Sandardzaon. 7. JCSS, CodeCal - Relably Based Code Calbraon. hp:// EN_338, Srucural Tmber Srengh Classes. 2003, Comé Européen de Normalsaon, Brussels, Belgum. 9. SYSREL, Sucural Relably Analyss Program. 1997, RCP Consulng Sofware, hp:// 10. EN_408, European Sandard: Tmber srucures - Srucural Tmber - Deermnaon of some physcal and mechancal properes. 2004, Comé Européen de Normalsaon, Brussels, Belgum. 11. EN_384, Tmber Srucures; Srucural mber Deermnaon of characersc values of mechancal properes and densy. 2004, Comé Européen de Normalsaon, Brussels, Belgum. 12. ASTM, Book of Sandards Wood (Prn and CD-ROM). July AS/NZS, 4063:1992 Tmber - Sress-graded - In-grade srengh and sffness evaluaon Isaksson, T., Modellng he Varably of Bendng Srengh n Srucural Tmber, n Repor TVBK , Lund Insue of Technology. 15. Melchers, R.E., Srucural Relably Analyss and Predcon. Second Edon ed. 2002: John Wley & Sons. 437.
9
V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationTools for Analysis of Accelerated Life and Degradation Test Data
Acceleraed Sress Tesng and Relably Tools for Analyss of Acceleraed Lfe and Degradaon Tes Daa Presened by: Reuel Smh Unversy of Maryland College Park smhrc@umd.edu Sepember-5-6 Sepember 28-30 206, Pensacola
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION
THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,
More informationSingle-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method
10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho
More information2.1 Constitutive Theory
Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationFI 3103 Quantum Physics
/9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More information5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)
5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationShear Stress-Slip Model for Steel-CFRP Single-Lap Joints under Thermal Loading
Shear Sress-Slp Model for Seel-CFRP Sngle-Lap Jons under Thermal Loadng *Ank Agarwal 1), Eha Hamed 2) and Sephen J Foser 3) 1), 2), 3) Cenre for Infrasrucure Engneerng and Safey, School of Cvl and Envronmenal
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationComputing Relevance, Similarity: The Vector Space Model
Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationTime-interval analysis of β decay. V. Horvat and J. C. Hardy
Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae
More informationNational Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration
Naonal Exams December 205 04-BS-3 Bology 3 hours duraon NOTES: f doub exss as o he nerpreaon of any queson he canddae s urged o subm wh he answer paper a clear saemen of any assumpons made 2 Ths s a CLOSED
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationComparison of Differences between Power Means 1
In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More informationAnisotropic Behaviors and Its Application on Sheet Metal Stamping Processes
Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationReactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times
Reacve Mehods o Solve he Berh AllocaonProblem wh Sochasc Arrval and Handlng Tmes Nsh Umang* Mchel Berlare* * TRANSP-OR, Ecole Polyechnque Fédérale de Lausanne Frs Workshop on Large Scale Opmzaon November
More informationEcon107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)
Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More informationARWtr 2004 Modern Transformers October. Vigo Spain Transformers
The procedure s bes explaned by Fg. 1a + 1b 1U 1V 1W 1N HV S U 0 LV 2V 2U -nalyser-3205 2W Fg. 1a. Measuremen of he relaxaon currens usng he Semens measurng sysem -nalyser-3205 [14, 20] U 0 u T P T D POL
More information12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer
d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen
More informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationSampling Procedure of the Sum of two Binary Markov Process Realizations
Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV
More informatione-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov
June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School
More information( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
More informationStandard Error of Technical Cost Incorporating Parameter Uncertainty
Sandard rror of echncal Cos Incorporang Parameer Uncerany Chrsopher Moron Insurance Ausrala Group Presened o he Acuares Insue General Insurance Semnar 3 ovember 0 Sydney hs paper has been prepared for
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationA NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION
S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy
More informationMoving Least Square Method for Reliability-Based Design Optimization
Movng Leas Square Mehod for Relably-Based Desgn Opmzaon K.K. Cho, Byeng D. Youn, and Ren-Jye Yang* Cener for Compuer-Aded Desgn and Deparmen of Mechancal Engneerng, he Unversy of Iowa Iowa Cy, IA 52242
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More information[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations
Chaper 6: Ordnary Leas Squares Esmaon Procedure he Properes Chaper 6 Oulne Cln s Assgnmen: Assess he Effec of Sudyng on Quz Scores Revew o Regresson Model o Ordnary Leas Squares () Esmaon Procedure o he
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More information. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.
Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationSingle-loop system reliability-based topology optimization considering statistical dependence between limit-states
Sruc Muldsc Opm 2011) 44:593 611 DOI 10.1007/s00158-011-0669-0 RESEARCH PAPER Sngle-loop sysem relably-based opology opmzaon consderng sascal dependence beween lm-saes Tam H. Nguyen Junho Song Glauco H.
More informationESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME
Srucural relably. The heory and pracce Chumakov I.A., Chepurko V.A., Anonov A.V. ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME The paper descrbes
More informationClustering (Bishop ch 9)
Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationThe Dynamic Programming Models for Inventory Control System with Time-varying Demand
The Dynamc Programmng Models for Invenory Conrol Sysem wh Tme-varyng Demand Truong Hong Trnh (Correspondng auhor) The Unversy of Danang, Unversy of Economcs, Venam Tel: 84-236-352-5459 E-mal: rnh.h@due.edu.vn
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationImprovement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling
Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda Pankaj Chauhan, Nrmala awan chool of ascs, DAVV, Indore (M.P.), Inda Florenn marandache Deparmen of Mahemacs, Unvers of New Meco, Gallup, UA
More informationApplication of Gauge Sensitivity for Calculating Vehicle Body Natural Frequencies
Inernaonal Journal of Mechancs and Applcaons 013, 3(6): 139-144 DOI: 10.593/j.mechancs.0130306.01 Applcaon of Sensvy for Calculang Vehcle Body Naural Frequences Shengyong Zhang College of Engneerng and
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationLocal Cost Estimation for Global Query Optimization in a Multidatabase System. Outline
Local os Esmaon for Global uery Opmzaon n a Muldaabase ysem Dr. ang Zhu The Unversy of Mchgan - Dearborn Inroducon Oulne hallenges for O n MDB uery amplng Mehod ualave Approach Fraconal Analyss and Probablsc
More informationReal time processing with low cost uncooled plane array IR camera-application to flash nondestructive
hp://dx.do.org/0.6/qr.000.04 Real me processng wh low cos uncooled plane array IR camera-applcaon o flash nondesrucve evaluaon By Davd MOURAND, Jean-Chrsophe BATSALE L.E.P.T.-ENSAM, UMR 8508 CNRS, Esplanade
More informationSurvival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System
Communcaons n Sascs Theory and Mehods, 34: 475 484, 2005 Copyrgh Taylor & Francs, Inc. ISSN: 0361-0926 prn/1532-415x onlne DOI: 10.1081/STA-200047430 Survval Analyss and Relably A Noe on he Mean Resdual
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationPolymerization Technology Laboratory Course
Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen
More informationABSTRACT KEYWORDS. Bonus-malus systems, frequency component, severity component. 1. INTRODUCTION
EERAIED BU-MAU YTEM ITH A FREQUECY AD A EVERITY CMET A IDIVIDUA BAI I AUTMBIE IURACE* BY RAHIM MAHMUDVAD AD HEI HAAI ABTRACT Frangos and Vronos (2001) proposed an opmal bonus-malus sysems wh a frequency
More informationSolving the multi-period fixed cost transportation problem using LINGO solver
Inernaonal Journal of Pure and Appled Mahemacs Volume 119 No. 12 2018, 2151-2157 ISSN: 1314-3395 (on-lne verson) url: hp://www.pam.eu Specal Issue pam.eu Solvng he mul-perod fxed cos ransporaon problem
More informationFall 2010 Graduate Course on Dynamic Learning
Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/
More informationComprehensive Integrated Simulation and Optimization of LPP for EUV Lithography Devices
Comprehense Inegraed Smulaon and Opmaon of LPP for EUV Lhograph Deces A. Hassanen V. Su V. Moroo T. Su B. Rce (Inel) Fourh Inernaonal EUVL Smposum San Dego CA Noember 7-9 2005 Argonne Naonal Laboraor Offce
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
More informationImprovement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling
Improvemen n Esmang Populaon Mean usng Two Auxlar Varables n Two-Phase amplng Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda (rsnghsa@ahoo.com) Pankaj Chauhan and Nrmala awan chool of ascs,
More information. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.
Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as
More informationStochastic Repair and Replacement with a single repair channel
Sochasc Repar and Replacemen wh a sngle repar channel MOHAMMED A. HAJEEH Techno-Economcs Dvson Kuwa Insue for Scenfc Research P.O. Box 4885; Safa-309, KUWAIT mhajeeh@s.edu.w hp://www.sr.edu.w Absrac: Sysems
More informationF-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction
ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or
More informationP R = P 0. The system is shown on the next figure:
TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples
More informationSolving Equation [5.61], the helical fiber thickness required to contain the internal pressure is:
5.4.3 eng Analyss of Cylndrcal Pressure Vessels S. T. Peers 001 Ths sofware s provded free for your use wh no guaranee as o s effecveness. I s copyrghed by Process-Research and may no be duplcaed, gven
More informationMANY real-world applications (e.g. production
Barebones Parcle Swarm for Ineger Programmng Problems Mahamed G. H. Omran, Andres Engelbrech and Ayed Salman Absrac The performance of wo recen varans of Parcle Swarm Opmzaon (PSO) when appled o Ineger
More informationGear System Time-varying Reliability Analysis Based on Elastomer Dynamics
A publcaon of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 013 Gues Edors: Enrco Zo, Pero Barald Copyrgh 013, AIDIC Servz S.r.l., ISBN 978-88-95608-4-; ISSN 1974-9791 The Ialan Assocaon of Chemcal Engneerng
More informationAnalysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach
1 Appeared n Proceedng of he 62 h Annual Sesson of he SLAAS (2006) pp 96. Analyss And Evaluaon of Economerc Tme Seres Models: Dynamc Transfer Funcon Approach T.M.J.A.COORAY Deparmen of Mahemacs Unversy
More informationIntroduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms
Course organzaon Inroducon Wee -2) Course nroducon A bref nroducon o molecular bology A bref nroducon o sequence comparson Par I: Algorhms for Sequence Analyss Wee 3-8) Chaper -3, Models and heores» Probably
More informationMotion in Two Dimensions
Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The
More informationOMXS30 Balance 20% Index Rules
OMX30 Balance 0% ndex Rules Verson as of 30 March 009 Copyrgh 008, The NADAQ OMX Group, nc. All rghs reserved. NADAQ OMX, The NADAQ ock Marke and NADAQ are regsered servce/rademarks of The NADAQ OMX Group,
More informationJanuary Examinations 2012
Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons
More informationPHYS 705: Classical Mechanics. Canonical Transformation
PHYS 705: Classcal Mechancs Canoncal Transformaon Canoncal Varables and Hamlonan Formalsm As we have seen, n he Hamlonan Formulaon of Mechancs,, are ndeenden varables n hase sace on eual foong The Hamlon
More informationRecent Developments in the Area of Probabilistic Design of Timer Structures Köhler, J.; Sørensen, John Dalsgaard
Aalborg Universitet Recent Developments in the Area of Probabilistic Design of Timer Structures Köhler, J.; Sørensen, John Dalsgaard Published in: ICASP10 : Applications of Statistics and Probability in
More informationBandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel
Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency
More informationRELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA
RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns
More informationLecture 9: Dynamic Properties
Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.
More informationError Propagation in Software Measurement & Estimation
0h IMEKO TC4 Inernaonal Symposum and 8h Inernaonal Workshop on ADC Modellng and Tesng Research on Elecrc and Elecronc Measuremen for he Economc Upurn Beneveno, Ialy, Sepember 5-, 04 Error Propagaon n Sofware
More informationEVALUATION OF FORCE COEFFICIENTS FOR A 2-D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL
The Sevenh Asa-Pacfc Conference on Wnd Engneerng, November 8-, 009, Tape, Tawan EVALUATION OF FORCE COEFFICIENTS FOR A -D ANGLE SECTION USING REALIZABLE k-ε TURBULENCE MODEL S. Chra Ganapah, P. Harkrshna,
More informationMulti-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach
Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons
More information