Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave. channel routing with lateral inflow

Size: px
Start display at page:

Download "Accuracy of the Muskingum-Cunge method for constant-parameter diffusion-wave. channel routing with lateral inflow"

Transcription

1 Accuracy of he Muskngum-unge mehod for consan-parameer dffuson-wave channel roung wh laeral nflow L Wang a, Sergey Lapn c,d,*, Joan. Wu b, Wllam J. Ello e, Frz R. Fedler f a Yakama Naon ERWM, Unon Gap, WA 9890, USA b Washngon Sae Unversy, eparmen of Bologcal Sysems Engneerng, Puyallup Research and Eenson ener, Puyallup, WA 987, USA c Washngon Sae Unversy, eparmen of Mahemacs and Sascs, Pullman, WA 99, USA d Kazan Federal Unversy, Insue of ompuaonal Mahemacs and IT, Kazan, Russa e US eparmen of Agrculure, Fores Servce, Rocky Mounan Research Saon, Moscow, I 88, USA f Unversy of Idaho, eparmen of vl Engneerng, Moscow, I 88, USA * orrespondng auhor E-mal address: slapn@wsu.edu (S. Lapn). Absrac hannel roung s mporan n flood forecasng and waershed modelng. The general consanparameer Muskngum-unge (PM) mehod s second-order accurae and easy o mplemen. Wh specfc dscrezaons such ha he emporal and spaal nervals manan a unue relaonshp, he PM mehod can be hrd-order accurae. In hs paper, we derve he average laeral nflow erm n he second- and hrd-order accuracy PM mehod, and demonsrae ha For spaally and emporally varable laeral nflow, he effec of laeral nflow on smulaed dscharge vares wh spaal and emporal dscrezaons, he value and spaal and emporal

2 varaons of laeral nflow, wave celery, and dffuson coeffcen. omparson of he PM soluon wh he analycal soluon shows ha boh he second- and hrd-order accuracy schemes are more accurae han he smplfed mehod by whch spaal dervaves of laeral nflow are gnored. For small me seps, he hrd-order accuracy PM mehod resuls n hgher accuracy han he second-order scheme even when he hrd-order accuracy creron s no fully me. For large me seps, he emporal and spaal dscrezaon of he hrd- and second-order scheme becomes he same, bu he hrd-order scheme yelds hgher accuracy han he second-order scheme because of he hrd-order accurae esmaon of he laeral nflow erm. Keywords Lnear dffuson-wave channel roung; Muskngum-unge mehod; laeral nflow; order of accuracy; emporal and spaal resoluon; numercal and analycal soluons Abbrevaons onsan-parameer Muskngum-unge (PM); roo-mean-suare error (RMSE); Waer Eroson Predcon Proec (WEPP). Inroducon hannel upsream nflow s usually he mos mporan componen for flood roung. In waershed modelng, however, channel waer ofen comes from laeral nflow. As n he Waer Eroson Predcon Proec (WEPP) model, waer generaed from a hllslope (surface runoff, subsurface laeral flow, and groundwaer base flow) may ener a channel as upsream nflow when he hllslope s a he op of he channel, or as laeral nflow when he hllslope s on he sde of he channel (Fg. ).

3 Top hllslope Sde hllslope n hannel ou Sde hllslope Fgure. Schemac of he relaonshp beween hllslopes and a channel segmen n he Waer Eroson Predcon Proec (WEPP) model. A hllslope can be a he op of a channel only n cases of s -order channels, and would oherwse be on he sde of he channel, wh he op of he channel beng upsream channels or an mpoundmen (Flanagan and Lvngson, 995). In addon, he gan or loss of he sream waer by precpaon, nflraon, and evaporanspraon s ofen ncluded n he laeral nflow erm. In commonly used numercal channel roung mehods, e.g., he Muskngum-unge or he knemac-wave mehod, we need o calculae he average laeral nflow n he channel roung euaon. The order of accuracy of he average laeral nflow erm can be a domnan facor affecng he accuracy of he numercal channel roung n waershed smulaons. Prce (009) developed a second-order accurae nonlnear dffuson-wave scheme and solved usng he Newon-Raphson erave mehod. The auhor also analyzed he effec of bed slope on he accuracy and found he accuracy decreased wh decreasng bed slope. However laeral nflow was consdered o be unformly dsrbued n hs sudy. Todn (007) suded varable parameer Muskngum-unge (VPM) mehod and developed a mass-conservave approach by resolvng he sorage and seady-sae nconssences of he orgnal VPM mehod. In hs sudy, laeral nflow was no consdered. Barry and Baracharya (995) showed ha for channel roung whou laeral nflows, when he me sep and he space nerval mananed a ceran relaonshp so ha he ouran number s 0.5, he Muskngum-unge mehod was hrd-order

4 accurae. For consan-parameer dffuson-wave channel flows whou laeral nflow, Baracharya and Barry (997) derved a relaonshp of spaal and emporal seps of, where denoes knemac celery and dffuson coeffcen, o assure a second-order accuracy of Muskngum-unge scheme, a relaonshp of or for hrd-order accuracy, and fed and for fourh-order accuracy. Szel and Gaspar (000), whou consderng laeral nflow, relaed he emporal and spaal nervals o he ouran number r and Pecle number P e, dscussed her effec on he sables of he Muskngum-unge scheme, and found ha he relaonshp of he spaal and emporal seps reured for he hrd-order Muskngum-unge mehod can be smplfed o a dmensonless euaon r 0. P In addon o he relaonshp beween and, Moramarco e al. (999) repored ha he choce of reference dscharge, whch s used o calculae he knemac celery and he dffuson coeffcen, can also affec he accuracy of he channel roung wh laeral nflow. By esng he channel roung whou he upsream nflow, hey found ha he error n channel roung changed wh reference dscharge and bed slope. For a channel wh a relavely genle slope, such as 0.000, he seleced reference dscharge should be larger for a beer accuracy; for a channel wh a raher seep slope, e.g., 0.0, he accuracy of he channel roung was no sensve o he reference dscharge. The laeral nflow n a channel roung euaon was usually reaed as concenraed or unformly dsrbued for smplcy (how e al., 988; Fan and L, 00). When laeral nflow s spaally and emporally varable, s effec on accuracy of numercal channel roung has no e

5 been dscussed. In hs sudy, we wll () derve a second- and hrd-order accurae represenaon for he laeral nflow erm used n he consan-parameer Muskngum-unge (PM) mehod for channel roung, () compare he resuls from he hrd- and he second-order accuracy PM mehods wh analycal soluon, and analyze he effec of he me-sep sze on he accuracy of he PM soluon.. Mehods The consan-parameer dffuson-wave euaon wh laeral nflow can be smplfed as (Lghhll and Whham, 955; Baracharya and Barry, 997; Fan and L, 00; Prce, 009) () where = (,) s dscharge (m s ), s downsream dsance (m), s me (s), = (,) s laeral nflow rae per un lengh (m s ), wh posve represenng flow no, and negave flow ou of, he channel, dr s knemac wave celery (m s ), and da R R s BS BS f 0 he dffuson coeffcen (m s ) where R s he reference dscharge, A he cross-seconal area (m ), B he channel wdh a he waer surface (m), S f he frcon slope, and S 0 he channel bed slope.. Thrd-order accuracy PM mehod The Muskngum-unge mehod solvng E. () numercally s (how e al., 988; Ponce, 995; Baracharya and Barry, 997; Szel and Gaspar, 000) () where he Muskngum-unge coeffcens are gven by () 5

6 () (5) and () and s he average laeral nflow. For unformly dsrbued laeral nflow, was calculaed as (how e al., 988; Append A). The PM mehod s second-order accurae whou resrcons on emporal and spaal dscrezaons (Append A). To acheve he hrd-order accuracy whou changng he represenaons of he Muskngum-unge coeffcens, he spaal and emporal nervals mus sasfy he followng relaonshps (Baracharya and Barry, 997; Szel and Gaspar, 000; Append A) (7) for a gven, or (8) wh fed. Es. (7) and (8) are euvalen o he followng dmensonless euaon (Szel and Gaspar, 000) 0 e r P (9)

7 7 Hence, for a dffuson wave wh e P, he smulaed ouflow s of a hgher-order accuracy f e r P (0) The hrd-order accuracy average laeral nflow can hen be calculaed as (Append A) () We can also show ha, for he second-order accuracy PM (Append A) () Es. () and () show ha, depends no only on laeral nflow and s spaal and emporal varaon as well as he spaal and emporal dscrezaon, bu also on wave celery and he dffuson coeffcen of he channel flow. If he spaal varaon of laeral nflow s neglgble, he hrd- and second-order accuracy average laeral nflow can also be esmaed from a dscree daase (Append A),.e.,,, for ) ( for ) ( 5 8 () for hrd-order accuracy, and 0,, for. () for second-order accuracy.. A numercal epermen To es he accuracy of he PM mehod, we consder a synhec channel flow

8 , sn sn (m s ) (5) L T for 0 L and 0 T wh L = 0,000 m and T = 0,000 s. The wdh of he recangular channel s m, bed slope 0.0 so ha he effec of he slope seepness on reference dscharge can be negleced (Moramarco e al., 999), and, Mannng s roughness coeffcen The mnmum nflow from E. (5), b = m s, and he peak nflow p = m s. We can calculae he reference dscharge followng Ponce and hagan (99) b p m R s () We hen oban knemac wave celery =.57 m s, and dffuson coeffcen = 50.0 m s. From E. (8), wh he spaal nerval L, he me sep for he hrd-order accuracy PM s = 7 s, and he ouran number s r. 00. Bu wh hs me sep, here are only a few pons whn range of he smulaon me, and much nformaon on emporally and spaally varable dscharge would be los. For easy comparson of he PM wh he analycal soluon, we may choose dfferen me-sep szes, e.g.,,, 5, 0, 0, 50, 00, 00, 500, and 000 s, and dvde he channel no mulple segmens (n s ). For he second-order accuracy PM, we need o keep r as close o as possble n our spaal dscrezaon for any specfc me-sep sze (Ponce, 995, p. 9). For he hrd-order accuracy PM, we dvde he channel no mulple segmens followng E. (7). If he channel lengh s no dvdable by he reured spaal nerval for he hrd-order accuracy, we would make as close as praccal, and n hs case he accuracy would be slghly lower han hrd order. From E. (5), we have cos (7) T T 8

9 cos (8) L L and sn (9) L L Incorporang Es. (7) (9) no () and smplfyng, we oban he laeral nflow, cos cos sn (0) T T L L L L So our channel roung problem s composed of E. (), nal condon 0 boundary condon,, sn, L 0 sn, and laeral nflow calculaed by E. (0). The channel T roung resuls from second- and hrd-order accuracy PM mehod are compared wh he analycal soluon calculaed by E. (5) a =L. The resuls of PM mehod wh average laeral nflow calculaed by E. () are also compared wh he analycal soluon. Snce he laeral nflow (,) defned by E. (0) s no unformly dsrbued, we name he mehod of calculang by E. () as he smplfed mehod. In he smplfed mehod, we sll use he acual values of laeral nflow ha are varable wh space and me, bu he spaal dervaves of laeral nflow are negleced. For unformly dsrbued laeral nflow, hs smplfed mehod recovers he second-order accuracy. To calculae n he PM usng E. () or (), we also need he followng dervaves of (,) sn () T T cos () T T 9

10 sn cos () L L L L cos sn () L L L L sn cos (5) L L L L 5 cos sn () L L L L 5 0 (7) 0 (8). Resuls The smulaed me o peak ( p ) by he second- and hrd-order PM mehods compare well wh he analycal soluon of 500 s for 00 s (Tables and )., s n s, m RMSE, m s p, m s p, s r p, m s E E E E E E E E E E E E E E E E E E E E 0 0

11 Table. Accuracy of he second-order PM channel roung wh laeral nflow for dfferen me-sep szes., s n s, m RMSE, m s p, m s p, s r p, m s 80.5.E E E E E E E E 05.57E E E 05.E E E E E E 05.0E E E 0.08E E E 0.8E E E 0 5.9E E E 0.E 0 r P e Table. Accuracy of he hrd-order PM channel roung wh laeral nflow for dfferen me-sep szes. For =00, 500, and 000 s, he second-order PM resuled n smaller p. The hrd-order PM led o smaller p for =00 and 000 s. Boh mehods adeuaely esmaed he peak dscharge ( p, m s ). The RMSE for he hrd-order PM soluon s 8 mes smaller han for he second-order PM for each correspondng (Table and ). The RMSE for boh mehods decreases wh for 0 s, and remans nearly consan for < 0 s (Fg. ) For large me seps, he spaal dscrezaons of second- and hrd-order accuracy scheme are he same (Tables and ). For small me seps, however, he hrd-order accuracy scheme.

12 Fgure. Roo-mean-suare errors (RMSE) of he smplfed, second-, and hrd-order PM. need fewer spaal seps o reach an mproved accuracy han he second-order accuracy scheme, even he hrd-order accuracy creron r 0 or r s no fully me. P P e For he smplfed mehod, he average laeral nflow are calculaed by gnorng he spaal dervaves of laeral nflow bu sll accounng for dfferen laeral nflow values a dfferen locaons. The smulaed p was underesmaed for 0 s and overesmaed for 50 s (Table ). The smulaed p was comparable wh he hrd-order accuracy scheme for 0 s bu over-esmaed for 0 s. The RMSE of he smplfed mehod was generally larger han ha of he second- or hrdorder scheme (Fg. ). The RMSE was smalles when was close o 0 s, and ncreased wh decreasng and ncreasng. ne ecepon was when =000 s, he resuls were more accurae han when =00 or 500 s, and were comparable wh he hrd-order accuracy soluon. Hence, e, s n s, m RMSE, m s p, m s p, s r p, m s 7..E E 0

13 8..09E E E E E E E E E E E E E E E E E E 0 Table. Accuracy of he PM channel roung wh smplfed calculaon of laeral nflow (assumng unformly dsrbued) for dfferen me-sep szes. for hs specal eample, he spaal dervaves of laeral nflow can be negleced f and were se as 000 s and 000 m, respecvely. The larges errors for PM soluons of dfferen order of accuracy occur a dfferen mes. The larges errors for he second-order PM mehod occur before and afer he peak, beng overesmaes before, and underesmaes afer, he peak (Fg. ). The larges error for he hrdorder or he smplfed mehod occurs only around he peak. The smulaon resuls by he second- and hrd-order PM mehods mached he analycal soluon well for <500 s, and by he smplfed mehod for <00 s.

14 Fgure. Analycal soluon and dfferences n dscharge beween numercal and analycal soluons. (a) second-order accuracy PM, (b) hrd-order accuracy PM, and (c) smplfed mehod. Noe dfferen scales used for dfference n dscharge n (a), (b), and (c).. onclusons

15 For consan-parameer Muskngum-unge dffuson-wave channel roung wh spaally and emporally varable laeral nflow, he accuracy of laeral nflow calculaon s an mporan facor affecng he overall channel roung accuracy. In hs sudy, we derved he average laeral nflow erm n he second- and hrd-order accuracy PM mehods for channel roung. The derved euaons ndcaed ha for spaally and emporally varable laeral nflow, he effec of laeral nflow on smulaed dscharge depended no only on he value of laeral nflow, s spaal and emporal dervaves, he spaal and emporal dscrezaons, bu also on wave celery and dffuson coeffcen of he channel flow. The second-order PM mehod led o ncreased accuracy wh decreasng me-sep szes, and kep relavely consan for furher decreased me-sep szes. Usng larger me-sep szes s compuaonally more effcen, bu wh hgher rsk of mssng he eac peak dscharge pon by as much as one me sep. The accuracy of he hrd-order PM soluon ncreased wh decreasng me-sep szes, and was hgher han he second-order PM mehod, even when he hrd-order accuracy PM mehod reuremen r 0 was no fully sasfed because of lmaon of consan P e emporal and spaal nervals used. Is compuaonal coss can be much lower han he secondorder PM mehod for smaller me-sep szes when reured few spaal seps. For larger me seps, s spaal dscrezaon became he same as for he second-order scheme. Ths suggesed ha for a fed me sep, we can ge second-order accuracy PM mehod by mananng a ouran number of as close o as praccal, and oban a hgher accuracy by usng a larger spaal sep or a smaller ouran number, r, wh he condon ha P e. P When we gnore he spaal dervaves of he laeral nflow as n he smplfed mehod, he RMSE of he numercal channel roung resuls was generally larger han ha of he second- and e 5

16 hrd-order accuracy schemes. I was smalles for a me sep of 0 s, and ncreased wh boh decreasng and ncreasng of he me-sep sze. nly for a specal dscrezaon, he smplfed mehod led o he same resul wh he hrd-order accuracy scheme. The second-order accuracy PM led o overesmaon before and underesmaon afer, he me of peak dscharge. The hrd-order accuracy PM and he smplfed mehod only led o over- or underesmaon near he me of peak dscharge. Acknowledgemens Ths work was suppored by he USA SREES EAP Gran (No ) and Washngon Sae Unversy. References Baracharya, K., Barry,.A., 997. Accuracy crera for lnearsed dffuson wave flood roung. J. Hydrol. 95, Barry, A, Baracharya, K., 995. n he Muskngum unge flood roung mehod. Envron. In.,, how, V.T., Madmen,.R., Mays, L.W., 988. Appled Hydrology, McGraw-Hll, New York. Fan, P., L, J.., 00. ffusve wave soluons for open channel flows wh unform and concenraed laeral nflow. Adv. Waer Resour. 9, Flanagan,.., Lvngson, S.J. (Eds.), 995. USA-Waer Eroson Predcon Proec: User Summary. NSERL Rep. No., Nal. Sol Eroson Res. Lab., USA ARS, Wes Lafayee, IN, 9 pp. Hayam, S., 95. n he propagaon of flood waves. saser Prev. Res. Ins., Kyoo Unv., Bull., : -.

17 Moramarco, T., Fan, Y., Bras, R.L., 999. Analycal soluon for channel roung wh unform laeral nflow. ASE, J. Hydraul. Eng. 5, Moussa, R., 99. Analycal Hayam soluon for he dffusve wave flood roung problem wh laeral nflow. Hydrol. Process. 0, Moussa, R., Bocullon,., 99. Algorhms for solvng he dffusve wave flood roung euaon. Hydrol. Process. 0, 05. Prce, R. K., 009, Volume-conservave nonlnear flood roung, J. Hydr. Eng. 5, Ponce, V. M., 995. Engneerng Hydrology, Prncples and Pracces, Prence Hall, Englewood lffs, NJ. Ponce, V. M., hagan, P.V., 99. Varable-parameer Muskngum-unge mehod revsed, J. Hydrol., 9. Szel, S. and Gaspar,., 000. n he negave weghng facors n Muskngum-unge scheme, J. Hydraul. Res., 8(), 99 0 Sngh, V. P., 99. Knemac Wave Modelng n Waer Resources, Surface-Waer Hydrology. Wley, London. Tang, X., Kngh,. W. and Samuels, P. G., 999. Volume conservaon n varable parameer Muskngum-unge mehod, J. Hydraulc Eng. (ASE), 5(), 0 0. Thomas, J. W., 995. Numercal Paral fferenal Euaons: Fne fference Mehods, Sprnger-Verlag, New York. Todn, E., 007. A mass conservave and waer sorage conssen varable parameer Muskngum-unge approach. Hydrol. Earh Sys. Sc.,,

18 Append A ervaon of he hrd-order accuracy PM mehod for consan-parameer dffusonwave channel roung wh laeral nflow In order o oban he rd -order accurae soluon of E. (), we calculae he dervaves of respec o space and me, and represen hem as he dervaves of space only. Frs, we rearrange E. () as (A) where,,,,,,, and, are used for brevy, and smlar noaons are used for he followng dervaons. The dervaves are hen (A) (A) (A) 5 (A5) (A) 5 (A7) 8

19 (A8) Epand he erm, n E. () respec o (, ) o he hrd order Taylor seres, neglec he superscrp n he dervaves a (, ) for brevy, and drop he hgher order erms, (A9) Incorporang he dervave erms and rearrangng gves (A0) Smlarly, (A) (A)

20 0 Incorporang E. (A0), (A), and (A) no (), we have (A) Euae he coeffcen erms relaed o,,,, and, respecvely, : ` (A) : (A5) : (A) : (A7)

21 : (A8) Solvng he sysem euaons of (A) (A) gves he Muskngum-unge coeffcens (A9) (A0) and (A) The coeffcens are he same as ha gven by how e al. (988) and Ponce (995). And shows ha he PM mehod whou furher resrcon s second-order accurae. Incorporang E. (A0) and (A) no (A7) and smplfyng, we have 0 (A) solvng for, we have (A) or solvng for, we have

22 (A) Es. (A) and (A) are he relaonshps beween and reured o manan he hrdorder accurae for he PM mehod, and has been derved by Baracharya and Barry (997) and Szel and Gaspar (000) for PM mehod solvng he dffuson-wave channel roung whou laeral nflow. vdng boh sdes of (A) by and nroducng r and P e, we can smplfy (A) o a dmensonless euaon reured for elmnang he dsperson error o oban he hrd-order PM mehod (Szel and Gaspar, 000): 0 e r P. From E. (A), n order for o be real, we mus have (A5) From E. (A8), we oban (A) Leng (A7) we ge

23 (A8) And ncorporang E. (A0) no (A7) and smplfyng resuls n (A9) Es. (), (A9) (A), (A9), and (A8) ogeher form he hrd-order PM mehod wh spaal or emporal lmaons defned by E. (A) and (A), respecvely. If he spaal varaon of laeral nflow s neglgble so ha he dervaves of wh respec o vansh n E. (A8), he average laeral nflow can also be esmaed smply from a dscree daase. Snce (Thomas, 995),, for ) ( 0 for ) ( (A0) and,, for ) ( 0 for ) ( (A) Incorporang Es. (A0) and (A) no (A8) and smplfyng, we have,, for ) ( for ) ( 5 8 (A) Followng he same procedure, he second-order accuracy laeral nflow erm can be obaned as

24 (A) If we gnore he spaal dervaves, and use, E. (A) can be smplfed o (how e al., 988) 0,, for (A) For knemac wave channel roung, = 0, E. (A) s smplfed o (A5) If we esmae he dervaves and, respecvely, by and, E. (A5) becomes. (A)

Solution in semi infinite diffusion couples (error function analysis)

Solution 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 information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

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 information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J 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 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

[ ] 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 information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary 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 information

Volatility Interpolation

Volatility 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

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee

A Paper presentation on. Department of Hydrology, Indian Institute of Technology, Roorkee A Paper presenaon on EXPERIMENTAL INVESTIGATION OF RAINFALL RUNOFF PROCESS by Ank Cakravar M.K.Jan Kapl Rola Deparmen of Hydrology, Indan Insue of Tecnology, Roorkee-247667 Inroducon Ranfall-runoff processes

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate 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

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In 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 information

FTCS Solution to the Heat Equation

FTCS 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 information

On One Analytic Method of. Constructing Program Controls

On 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 information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC 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 information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A 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 information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT 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 information

Cubic Bezier Homotopy Function for Solving Exponential Equations

Cubic 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 information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β SARAJEVO JOURNAL OF MATHEMATICS Vol.3 (15) (2007), 137 143 SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β M. A. K. BAIG AND RAYEES AHMAD DAR Absrac. In hs paper, we propose

More information

P R = P 0. The system is shown on the next figure:

P 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 information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () 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 information

Variants of Pegasos. December 11, 2009

Variants 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 information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/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 information

ON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS

ON THE WEAK LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS ON THE WEA LIMITS OF SMOOTH MAPS FOR THE DIRICHLET ENERGY BETWEEN MANIFOLDS FENGBO HANG Absrac. We denfy all he weak sequenal lms of smooh maps n W (M N). In parcular, hs mples a necessary su cen opologcal

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Robustness Experiments with Two Variance Components

Robustness 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 information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th 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 information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.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 information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d 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 information

Relative controllability of nonlinear systems with delays in control

Relative 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 information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New 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 information

Standard Error of Technical Cost Incorporating Parameter Uncertainty

Standard 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 information

Advanced time-series analysis (University of Lund, Economic History Department)

Advanced time-series analysis (University of Lund, Economic History Department) Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng

More information

Baseflow Analysis. Objectives. Baseflow definition and significance. Reservoir model for recession analysis. Physically-based aquifer model

Baseflow Analysis. Objectives. Baseflow definition and significance. Reservoir model for recession analysis. Physically-based aquifer model Objecves Baseflow Analss. Undersand he concepual bass of baseflow analss.. Esmae waershed-average hdraulc parameers and groundwaer recharge raes. dscharge (m s - ) 0.6 0.4 0. baseflow dscharge (m s - )

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = 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 information

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables

, t 1. Transitions - this one was easy, but in general the hardest part is choosing the which variables are state and control variables Opmal Conrol Why Use I - verss calcls of varaons, opmal conrol More generaly More convenen wh consrans (e.g., can p consrans on he dervaves More nsghs no problem (a leas more apparen han hrogh calcls of

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

Comb Filters. Comb Filters

Comb Filters. Comb Filters The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE 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 information

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs.

Handout # 6 (MEEN 617) Numerical Integration to Find Time Response of SDOF mechanical system Y X (2) and write EOM (1) as two first-order Eqs. Handou # 6 (MEEN 67) Numercal Inegraon o Fnd Tme Response of SDOF mechancal sysem Sae Space Mehod The EOM for a lnear sysem s M X DX K X F() () X X X X V wh nal condons, a 0 0 ; 0 Defne he followng varables,

More information

A Simulation Based Optimal Control System For Water Resources

A Simulation Based Optimal Control System For Water Resources Cy Unversy of New York (CUNY) CUNY Academc Works Inernaonal Conference on Hydronformacs 8--4 A Smulaon Based Opmal Conrol Sysem For Waer Resources Aser acasa Maro Morales-Hernández Plar Brufau Plar García-Navarro

More information

[Link to MIT-Lab 6P.1 goes here.] After completing the lab, fill in the following blanks: Numerical. Simulation s Calculations

[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 information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On 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 information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance 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 information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence 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 information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

3. OVERVIEW OF NUMERICAL METHODS

3. OVERVIEW OF NUMERICAL METHODS 3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

Implementation of Quantized State Systems in MATLAB/Simulink

Implementation of Quantized State Systems in MATLAB/Simulink SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße

More information

by Lauren DeDieu Advisor: George Chen

by Lauren DeDieu Advisor: George Chen b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John 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 information

Mechanics Physics 151

Mechanics 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 information

PHYS 1443 Section 001 Lecture #4

PHYS 1443 Section 001 Lecture #4 PHYS 1443 Secon 001 Lecure #4 Monda, June 5, 006 Moon n Two Dmensons Moon under consan acceleraon Projecle Moon Mamum ranges and heghs Reerence Frames and relae moon Newon s Laws o Moon Force Newon s Law

More information

Math 128b Project. Jude Yuen

Math 128b Project. Jude Yuen Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally

More information

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys

Dual Approximate Dynamic Programming for Large Scale Hydro Valleys Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored

More information

Mechanics Physics 151

Mechanics 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 information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. 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 information

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and

More information

Numerical Solution of Quenching Problems Using Mesh-Dependent Variable Temporal Steps

Numerical Solution of Quenching Problems Using Mesh-Dependent Variable Temporal Steps Numercal Soluon of Quenchng Problems Usng Mesh-Dependen Varable Temporal Seps K.W. LIANG, P. LIN and R.C.E. TAN Deparmen of Mahemacs Naonal Unversy of Sngapore Sngapore 7543 Absrac In hs paper, we nroduce

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 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 information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-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

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

F-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 information

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations. Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample

More information

Reactive Methods to Solve the Berth AllocationProblem with Stochastic Arrival and Handling Times

Reactive 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 information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate 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 information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

Linear Response Theory: The connection between QFT and experiments

Linear 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 information

FI 3103 Quantum Physics

FI 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 information

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Survival 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 information

Comparison of Differences between Power Means 1

Comparison 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 information

Li An-Ping. Beijing , P.R.China

Li 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 information

2.1 Constitutive Theory

2.1 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 information

First-order piecewise-linear dynamic circuits

First-order piecewise-linear dynamic circuits Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por

More information

Chapter 6: AC Circuits

Chapter 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 information

Computing Relevance, Similarity: The Vector Space Model

Computing 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 information

RELATIONSHIP 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 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 information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 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 information

January Examinations 2012

January 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 information

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes

Transcription: Messenger RNA, mrna, is produced and transported to Ribosomes Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-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 information

Analysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach

Analysis 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 information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. 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 information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Department of Economics University of Toronto

Department 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 information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( 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 information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

Advanced Machine Learning & Perception

Advanced Machine Learning & Perception Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel

More information

Method of upper lower solutions for nonlinear system of fractional differential equations and applications

Method of upper lower solutions for nonlinear system of fractional differential equations and applications Malaya Journal of Maemak, Vol. 6, No. 3, 467-472, 218 hps://do.org/1.26637/mjm63/1 Mehod of upper lower soluons for nonlnear sysem of fraconal dfferenal equaons and applcaons D.B. Dhagude1 *, N.B. Jadhav2

More information

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation

Diffusion of Heptane in Polyethylene Vinyl Acetate: Modelisation and Experimentation IOSR Journal of Appled hemsry (IOSR-JA) e-issn: 78-5736.Volume 7, Issue 6 Ver. I. (Jun. 4), PP 8-86 Dffuson of Hepane n Polyehylene Vnyl Aceae: odelsaon and Expermenaon Rachd Aman *, Façal oubarak, hammed

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The 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 information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Observer Design for Nonlinear Systems using Linear Approximations

Observer Design for Nonlinear Systems using Linear Approximations Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:

More information

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

How about the more general linear scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )? lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of

More information

National Exams December 2015 NOTES: 04-BS-13, Biology. 3 hours duration

National 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 information

Research Article Numerical Approximation of Higher-Order Solutions of the Quadratic Nonlinear Stochastic Oscillatory Equation Using WHEP Technique

Research Article Numerical Approximation of Higher-Order Solutions of the Quadratic Nonlinear Stochastic Oscillatory Equation Using WHEP Technique Hndaw Publshng Corporaon Journal of Appled Mahemacs Volume 3, Arcle ID 68537, pages hp://dx.do.org/.55/3/68537 Research Arcle Numercal Approxmaon of Hgher-Order Soluons of he Quadrac Nonlnear Sochasc Oscllaory

More information