Chapter 3. Design Philosophy

Size: px
Start display at page:

Download "Chapter 3. Design Philosophy"

Transcription

1 Chapter 3 Desgn Phlosophy 3.1 Introducton In chapter, process of energy dsspaton and use of hydraulc jump as energy dsspator are dscussed. The mportance of the ssue of approprate locaton of jump n stllng basn over a wde range of dscharge condtons and lmtatons of exstng practce of stllng basn desgn are addressed. Present chapter proposes a mathematcal procedure to address the ssue of stllng basn desgns to overcome ther lmtatons. Prmarly the procedure s developed for horzontal apron. It s further modfed emprcally and appled to hydraulc jumps on slopng aprons. It s observed that exstng stllng basn desgns try to match the jump heght curve (JHC) wth the tal water ratng curve (TWRC). In these desgns, there s full dependency on TWRC. The efforts are made to match these levels so as to form hydraulc jump wthn basn. In case of tal water defcency, normally ether basn floor s depressed or broad crested wer s provded. Sometmes floor s depressed partly and partly wer s provded. As these adjustments are based on desgn dscharge, JHC may ntersect TWRC at desgn dscharge condton only and at lower dscharges, t remans below TWRC. Ths produces drowned jumps at lower dscharges. When wer s provded, TWRC s dsconnected from JHC and agan drowned jumps are produced at lower dscharges. Therefore, n the present study new stllng basn desgn s proposed for tal water defcency. Ths can largely reduce dependency on TWRC wthout dsconnectng t from JHC. Efforts are made to produce requred JHC at all dscharges to form clear jumps even at lower dscharges. 3. Scope of the Chapter Ths chapter proposes new desgn of hydraulc jump type stllng basn for tal water defcency. A mathematcal procedure s developed to desgn rectangular stllng basn wth wer at ts end. The plan sze of basn s governed by the sze of spllway and length of hydraulc jump at desgn dscharge condton. Producton of requred JHC s manly governed by the end wer characterstcs. Therefore a focus s made on end wer desgn. A new parameter submerged flow coeffcent (k s ) for sharp crested 38

2 stepped wer s ntroduced. A relaton between average submergence rato (S r ) and k s s establshed for horzontal apron. 3.3 Proposed Methodology To acheve approprate locaton of hydraulc jump n rectangular channel of wdth B, t s essental to consder nput parameters whch govern locaton of jump. Fg 3.1(a) demonstrates defnton sketch of hydraulc jump n rectangular channel wth horzontal slope. Sluce Gate H Clear hydraulc jump Proposed wer (crest) y y 1 h y' Rectangular Channel Secton A y t Flow drecton Test Secton B Plan A Fg. 3.1(a) Defnton sketch of hydraulc jump n rectangular channel Factors affectng hydraulc jump are total head on upstream of sluce gate (H), prejump depth (y 1 ), post jump depth (y ), crest heght of wer (y ' ), head over wer crest (h) and tal water depth (y t ). Another nondmensonal mportant parameter that governs hydraulc jump phenomenon s supercrtcal Froude number F r1. Fg. 3.1(b) shows dscharge Q on X-axs and post jump depth (y ) and tal water depth (y t ) on Y-axs to form two curves - jump heght curve (JHC) and tal water ratng curve (TWRC) respectvely. 39

3 Case 1 Case y y t Stages y and yt JHC=TWRC Stages y and yt JHC TWRC y 1 Dscharge Q Dscharge Q Case 3 Case 4 Case 5 Stages y and yt TWRC JHC Stages y and yt TWRC JHC Stages y and yt JHC TWRC Dscharge Q Dscharge Q Dscharge Q Fg. 3.1(b) Classfcaton of tal water condtons for the desgn of energy dsspator Dependng upon the relatve magntudes of y and y t at varous dscharges, fve dfferent cases would arse (Chow 1959). The vertcal dstance between JHC and TWRC represents the dfference between y and y t for a partcular dscharge. When ths dfference s zero,.e. y t = y, the hydraulc jump forms at vena contracta of the supercrtcal flow. If ths condton s acheved for all the dscharges, t becomes an deal condton (Case -1) that ensures formaton of clear hydraulc jump at vena contracta for all the dscharges. Ths stuaton does not requre any appurtenances n the stllng basn and only horzontal apron wth ts top at rver bed elevaton would suffce the requrement. But such condtons are of rare occurrence n practce. In most of the cases on feld, the tal water depths are ether on hgher sde or lower sde. Sometmes these are partly on hgher sde and partly on lower sde and vce versa over the whole range of dscharge. Hence t drectly affects the locaton of hydraulc jump on apron. If y t < y (Case -), then hydraulc jump sweeps out of the basn and the correspondng jump s referred to as swept up jump. In ths case the 40

4 jump may form far away from toe of spllway but reman partly on apron or t may completely sweep out and form n the downstream channel entrely away from the stllng basn. If y t > y (Case -3), then the hydraulc jump rdes on slopng spllway surface and the correspondng jump s referred to as submerged or drowned jump. In ths case a hgh velocty flow extends on apron upto a large dstance and t may cause scourng of the apron. Sometmes t may extend even upto the end sll. Secondly, n the drowned jump, large scale pressure fluctuatons are observed (Bower and Toso, 1988). In case-4, y t < y for lower dscharges and for the remanng dscharges y t > y, whereas n case-5 y t > y for lower dscharges and for the remanng dscharges y t < y. Present study focuses attenton on the tal water defcency condton (Case-). It s also partly applcable to case-4 where there s tal water defcency at lower dscharges. Case- shows that over a complete range of dscharge, the tal water depth s lower than the post jump depth. The dfference between these two depths goes on ncreasng wth ncreasng dscharge. Accordngly the locaton of jump shfts on apron and the toe of jump moves farther and farther away from the desred locaton.e. toe of spllway or sluce gate. As the jump moves away from ts desred locaton, there s proportonate reducton n the dsspaton of energy. The tal water defcency condtons encounter manly on spllways located on flanks. As the tal channel s ntended to convey flood water to the orgnal rver channel, t has large elevaton dfference n short dstance, hence t s relatvely steeper. Ths tends to produce hgher veloctes and subsequent lower flow depths n the tal channel. Hence due to non avalablty of suffcent tal water depths for formaton of jump, the jump has a tendency to sweep out. As the swept up jump s rather harmful than the drowned jump, t s preferred to have a hydraulc jump type stllng basn n the form of depressed horzontal apron and an end sll whch produces drowned jumps at low dscharges. Another soluton s to have horzontal apron may be at rver bed level or slghtly depressed wth a rectangular broad crested wer located at the end of the apron, generally referred as end wer. As drowned jumps dsspate less energy than the clear jumps, the resdual energy carred by the water n the tal channel after t enters the tal channel s comparatvely large. In ths study t s presumed that the apron elevaton on just upstream of the end wer 41

5 and elevaton of the channel floor just downstream of the end wer are same. In some of the cases only the apron elevaton s lowered to match the y levels wth that of y t levels. But an addtonal excavaton cost s also nvolved n lowerng the apron elevaton. Wth an am to provde a generc soluton to the problem of tal water defcency, t s proposed to desgn an end wer geometry whch wll cater to wde range of dscharge by takng the cognzance of correspondng range of tal water submergence. By way of the proposed soluton an attempt would be made to overcome tal water defcency condton (Case-) to attan deal condton (Case-1). It s known that a sngle rectangular suppressed wer of partcular heght s able to cater to only sngle partcular dscharge. If a wer desgned for low dscharge s exposed to hgher dscharge, the jump wll sweep out. If a wer desgned for hgh dscharge s exposed to lower dscharge, a drowned jump wll be formed as shown n Fg. 3.1(c). It means practcally, under constant head, every partcular dscharge demands, a partcular heght of end wer whch wll be proportonal to that dscharge. On the other hand, f a contracted wer s desgned, t results nto lowerng of crest heght and for every partcular dscharge a partcular wdth of wer s obtaned whch s nversely proportonal to dscharge. In short, f wdth s kept constant, crest heghts vary and f crest heght s kept constant then wdths vary. To acheve the am of the study, t s necessary to desgn sngle end wer geometry n such a fashon that t wll provde the effect of all such ndvdual wer heghts or wdths. It s therefore thought that a rectangular stepped wer may serve ths purpose. On felds, normally end wers are provded n the form of broad crested wers whch are gravty structures. In other small projects they can be provded n the form of sharp crested wers. As broad crested wers have hgh modular lmt ( as per USBR Water Measurement Manual), they are less senstve to submergence effects. Hence t s requred to study the effect of submergence wth respect to sharp crested wers whch are relatvely more senstve to submergence effect. Hence the study s ntated wth sharp crested wers. Broad crested wers are used for case studes. 4

6 Desgn dscharge condton Dscharge less than desgn dscharge condton Fg. 3.1 (c) Locaton of hydraulc jump at desgn and lower dscharge for the end wer desgned for desgn dscharge condton 3.4 Governng Factors The factors whch govern desgn of stepped wer geometry are as follows 1. Head on upstream = H. Wdth of channel = B 3. Maxmum dscharge n the range = Q max 4. Mnmum dscharge n the range = Q mn 5. Coeffcent of dscharge = C d 6. Submerged flow coeffcent = k 7. Startng heght of wer crest = y' The head on upstream H s the head of water on upstream of sluce gate or t s the heght of spllway plus half of the head over spllway crest above stllng basn level for mnmum dscharge n the range. The head over spllway can be neglected f t s smaller n magntude because some frctonal head loss s occurrng on spllway surface whch may compensate t. 3.5 Desgn Phlosophy of Stepped Wer Secton A stepped wer s to be desgned for varyng dscharges and a specfc range of tal water submergence. Varaton of tal water depth wth dscharge s not lnear. Dependng upon the magntude of the dscharge and the geometry of the downstream channel, a specfc tal water depth s formed n the channel. When the free flow over wer exsts, the tal water level does not affect the depth of flow on upstream of wer. But when the crest of wer undergoes submergence, consderaton of only dscharge 43

7 varaton wll not suffce requrement of wer desgn; the tal water depths for the correspondng dscharges are also needed to be consdered. Ths can be acheved by desgnng a rectangular stepped wer n such a manner that, every step of t wll fulfll followng two condtons. Condton 1 - The vertcal dstance between the channel bottom and any partcular step top, on upstream of a wer, should be equal to the post jump depth (y ) for that partcular dscharge. Condton The wdths of ndvdual steps should be such that the cumulatve dscharge passng through the wer, wth the water level upto any partcular step top, should be equal to that partcular dscharge mentoned n condton 1. Assumptons 1) Stllng basn s rectangular wth horzontal slope. ) Flow s steady and head on upstream of spllway (H) s constant. 3) Spllway s ether ungated or the gate openng s unform. 4) Dscharge condtons are varyng. (Varaton upto 0% of desgn dscharge). 5) Coeffcent of dscharge (C d ) s constant Development of mathematcal procedure The proposed stepped wer should cater to wde range of dscharge from desgn dscharge (Q max ) to mnmum dscharge equal to 0% of the desgn dscharge (Q mn ). N ntermedate dscharges between Q mn and Q max wth an nterval of (Q max - Q mn ) / (N+1) are consdered resultng n (N+) dscharges correspondng to whch there would be (N+) steps n a stepped wer. A stepped wer s consdered to be made up of number of rectangular wers. The equaton for dscharge Q over a rectangular sharp crested wer (free flow) s gven by 3 3/ Q = Cd b g h (1) As h = y y, the requred wdth of wer can be expressed as (refer Fg.3.) 3 Q b = () C 3/ d g ( y y' ) 44

8 y s calculated from Belanger momentum equaton (Subramanya, 1986). As llustrated n Fg. 3., wdth of frst step s gven by b = (3) C d g Q [ (y ) y' ] 3/ 1 Where, y = (y ) 1 / 4 s desgned for Q 1 (.e. Q mn ). (y ) 1 s the post jump depth correspondng to Q 1 and s calculated by Belanger momentum equaton n the followng manner. (y (y 1 ) = ( ( F r1 ) ). 1 ) + Q Where, (y 1 ) =, v = g H, B v (F ) = r1 g( v 1 y 1 ) a 3 / a 3 / (y ) 3 (y ) (y ) 1 a / crest y' B b 3 a / b b 1 tread rse Fg. 3. Desgn of rectangular stepped wer (Secton A-A taken from Fg. 3.1(a)) (frst 3-steps shown) Usng equaton (), for any dscharge Q n, the wdth of the correspondng step b n can be calculated as follows, b = b + a.. n > 1 (4) n n 1 n Where, a n represents the ncremental wdth at n th step. Where, a n = 3 C d g Q n [ = n -1 [ ( y ) ( y ) ] 3/ = 1 n (Q n ) ] n 1 = [for =1] (6) 3 and, (Q ) C g b [(y ) (y' ] 3/ n d 1 n ) = 3 [(y ) (y ] 3/ [for = to (n-1)] (7) 45 (Q n ) Cd g a n ) 1 (5)

9 The mathematcal procedure s based on the free flow rectangular wer formulae. Here t s presumed that stepped wer s made up of number of rectangular wers. As gudelnes for stepped wer s C d are not avalable, t s necessary to evolve C d for free flow stepped wer. In practce, mostly the crest of stepped wer s submerged, therefore t becomes essental to evolve modfed dscharge coeffcent whch would be applcable to submerged condtons. More lght s thrown on these aspects n the subsequent sectons. Another aspect regardng mathematcal procedure s about assumptons and 5. In ths desgn, supercrtcal velocty v 1 s calculated by the method suggested by Peterka (1984). C d s calculated usng formula gven by Subramanya (1986). But t has generated a zg-zag geometry of stepped wer as shown n Fg. 3.(a). Though mathematcally correct, t s not practcable. For each dscharge, for calculaton of y, t s necessary to calculate correspondng prejump depth y 1 and thus correspondng prejump velocty v 1. v 1 can be calculated by the procedure gven by Peterka n USBR Monograph 5 ( that consders varaton of head whch s proportonal to dscharge. On the contrary, the assumpton of H to be constant, whch n turn mples pre jump velocty also to be constant, gves a practcal soluton. As, fnally the desgn of stepped wer s based on the magntudes of post jump depths (y ) for (N+) dscharges, these depths are calculated by both the methods dscussed above. For ths purpose data of an exstng dam s consdered. B = 55m, H = 1.m, Q max = 1736 m 3 /s, Q mn = 347. m 3 /s. It s found that the values of y farly agree wth each other as correlaton coeffcent s found to be The comparson of y values s presented herewth for ready reference. 46

10 Table 3.1 Calculaton of y by two methods Step No. y m - based on monograph method y m - based on proposed method Fg. 3.3 shows a pattern of stepped wer whch s mathematcally correct as well as practcable. As an addtonal exercse, C d values are calculated by the formula proposed by Swamee (1988). But t has also resulted nto a smlar zg-zag geometry of stepped wer. After extensve trals on mathematcal model wth dfferent nput data, t s found that even mnute varaton of H and C d s resultng nto an mpractcable geometry of stepped wer. b 11 b 3 b b 1 B y Fg. 3. (a). Schematc of zg-zag geometry of stepped wer 47

11 b 11 b 3 b (y ) 11 b 1 y' B Fg. 3.3 Defnton sketch of geometry of rectangular stepped wer No lterature s avalable on rectangular sharp crested stepped wer. Recently some work on compound broad crested wers s reported by Jan et al (006) and by Gogus et al (009). Jan has nvestgated the rectangular-rectangular compound broad crested wer and derved the dscharge equatons for 0. h/b w Gogus has nvestgated dfferent compound broad crested wer geometres for 0.1 h/b w 0.7. Gogus further concluded that, for h/b w 0.5, the C d values are almost remanng constant. In the case study dscussed n chapter 6, the h/b w rato for the mddle wer of step wdth b 1 (whch s contrbutng more than 80% of the dscharge for any y on ts upstream) ranges from 0.5 to 1.7. Thus, wth the reasonable approxmaton, t s assumed to treat both H and C d as constant throughout the desgn. It s found that for F r1 > 4.5, the mathematcal procedure gves practcable geometry of stepped wer whch s also mathematcally correct. (The detaled calculatons by consderng varaton of H and C d s dscussed n Appendx D) Determnaton of Approprate C d for Free Flow Condton on Horzontal Apron In the mathematcal desgn of stepped wer, for free flow condton, a constant value of C d = 0.63 s adopted accordng to Francs formula. The valdty of the same has been emprcally determned wth the help of laboratory experments. As there are dfferent knds of uncertantes nvolved n the flow condtons, the analytcal determnaton of C d s hardly possble. To menton a few, there s presence of 48

12 hydraulc jump and assocated turbulence on upstream of stepped wer. The upstream reach for the stepped wer, beng equal to length of stllng basn, s small. Hence t s decded to emprcally judge the approprateness of Cd by the approprateness of hydraulc jump locaton (whch s vulnerable to uncertantes due to some assumptons nvolved n the mathematcal desgn of wer) whch s the man am of study. Beng an mplct functon, Cd needs to be assumed at ntal stage. If the wer performance s not satsfactory the step wdths can be modfed emprcally. It s proposed to conduct tests n a laboratory flume under free flow condton. For creatng free flow condtons over the stepped wer, the bottom of channel n the frst half (m long) s rased. Ths was done by layng a wooden platform of 5cm heght nsde a flume. Fg. 3.4 shows vews of the actual setup n laboratory. (a) Vew from downstream (b) Rght hand sde vew (c) Vew from downstream wth free flow from the wer Fg. 3.4 Photographs showng rased platform n the laboratory tltng flume and free flow condtons created over the stepped wer 49

13 Common parameters for whch wers are desgned are H=0.4m, B=0.3m, Q max =0.01 m 3 /s, Q mn =0.00 m 3 /s, y'=0.015m. Three wer models, each for C d =0.6, 0.65 and 0.63 are desgned. As per present practce, energy dsspators are desgned for the desgn dscharge condtons and ther performance s tested at lower dscharges (Vttal and Al-Garn 199). Generally apart from desgn dscharge, the performance s tested at 3 lower dscharges whch are 75%, 50% and 5% of desgn dscharge. To ncrease the accuracy, t s proposed to consder 10 lower dscharges and reduce the lowest dscharge to 0% of desgn dscharge. Thus, ncludng desgn dscharge, there would be total 11 dscharges. Thus n the proposed stepped wer, there are 11 steps correspondng to 11 dscharges. Tables 3.1(a, b and c) gve the geometry of these wers and other parameters related to hydraulc jump. Table 3.1 (a) Output of Mathematcal Procedure for Laboratory Data (Horzontal apron and C d = 0.6) Sr.No. Q m 3 /s y 1 y h F r1 m m m m b Wth C d = 0.6, the performance of wer s tested for boundary condtons of dscharge, that are Q mn and Q max to check the possblty of jump formaton and the adequacy of ts locaton. It s presumed that f the wer performance t unsatsfactory over these extreme dscharges, then t would probably be unsatsfactory for the ntermedate dscharges also. The jumps are found to be shfted n the downstream drecton for both the dscharges. Ths shows that the area of flow secton of stepped 50

14 wer s larger and need to be reduced. Ths can be done by reducng the step wdths (b) whch requres ncrease of C d as b vares nversely wth C d. Table 3.1 (b) Output of Mathematcal Procedure for Laboratory Data (Horzontal apron and C d = 0.65) Sr.No. Q m 3 /s y 1 y h F r1 m m m m b In the second tral another stepped wer s desgned wth C d = 0.65 and tested n a smlar manner. Durng ths, the jumps are found to be drowned. Hence for the thrd tral C d = 0.63 s adopted and accordngly, tests are taken. For stepped wer wth C d = 0.63, the hydraulc jumps have formed nsde the basn and the fronts of jumps n all the cases were found to be located near the sluce gate. Thus C d = 0.63 s confrmed emprcally for the condton of free flow over the wer. For hgher submergences (S r > 0), the coeffcent of dscharge wll decrease and takes the form of modfed coeffcent of dscharge (C dm = k s C d, where k s <1). In ths case, k s s a submerged flow coeffcent for stepped wer whch s newly ntroduced. Determnaton of C dm based on K s s explaned below. 51

15 Table 3.1 (c) Output of Mathematcal Procedure for Laboratory Data (Horzontal apron and C d = 0.63) Sr.No. Q m 3 /s y 1 y h F r1 m m m m b Determnaton of Approprate C dm for Submerged Flow Condton on Horzontal Apron When tal water depth (y t ) rses above crest, wer s sad to be submerged. For determnaton of C dm, t s necessary to determne k s. The effect of tal water submergence s dscussed n USBR publcatons lke Monograph 5 (1984), Manual of Water Measurement (001) and Desgn of Small Dams (1974). In 1947 Vllemonte (Subramanya 1986) has studed effect of submergence on dscharge over rectangular sharp crested suppressed wer and has gven a relaton between k and S r. But a smlar detaled analyss s not avalable for rectangular stepped wer. Thus for stepped wer, k s (for gven S r ) s determned emprcally and s compared wth k for rectangular wer gven by followng Vllemonte s equaton. k 3 ( 1 (S ) Q = (3.9) Q s = r ) f Where, Q s and Q f are the submerged and free flow dscharges respectvely and 5

16 S r ( y t y ' ) = (3.10) ( y y ' ) To fnd k s emprcally, 6 stepped wer sectons wth dfferent k s values rangng from 1 to 0.8 at an nterval of 0.04 are desgned. The other desgn parameters are same as before. The wer sectons are tested n flume for correspondng ranges of S r. Submergence s created by puttng specfc number of vertcal stop logs at the end of the channel nstead of operatng tal gate. Use of vertcal stop logs ensures contnuaton of stream lnes. The performance of wer secton s judged from the ablty of wer secton to form clear hydraulc jumps at approprate locaton for boundary dscharges. The detals of the trals are gven below. In order to obtan k s, seres of laboratory experments are carred out. The expermentaton s carred out for three mean submergence ratos vz. 0.45, 0.65 and 0.75 and accordngly three k s values are determned. Once relaton between S r and k s s establshed, a relaton between S r and C dm can be obtaned and t can be used for practcal applcatons. In the frst tral approprateness of C d for free flow condton of stepped wer s determned emprcally. In the second tral, the rased platform s removed from the flume and tal water depths are rased to create submergence condtons on downstream of stepped wer. The submergence so created s kept proportonal to dscharge. Over a range of dscharge and a correspondng range of S r (0.4 to 0.5), agan a stepped wer wth C d =0.63 (.e. k=1) s tested. It s observed that for both the dscharges drowned jumps are formed. Ths ndcates that the area of flow at the stepped wer secton s not adequate to form clear jumps near sluce gate. Then next wer secton wth C dm = 0.6 (.e. k s =0.96 and havng relatvely large area of flow than the prevous case) s tested and t has formed clear jumps at approprate locaton. Ths has confrmed that the stepped wer under consderaton s operatng satsfactorly. Further to reconfrm the adequacy of ths stepped wer, for the same submergence condtons a wer secton wth C dm = 0.57 (.e. k s =0.9) s tested and t s observed that the front of jump moved away from the approprate locaton (.e. swept up jump). Thus the value of C dm = 0.6 for the average S r = 0.45 s fnally confrmed. Smlar tests are carred out wth average submergence ratos 0.65 and 0.75 and the 53

17 correspondng values of C dm are found to be 0.55 and 0.5 (.e. k s = 0.88 and 0.8) respectvely. Table 3. gves comparson of emprcally determned k s values wth k values gven by Vllemonte s equaton. Sr. No. Table 3. Comparson of submerged flow coeffcents k and k s Range of Average k k s C dm = submergence submergence k s x C d rato (S r ) rato (S r ) to to to The values of k s are slghtly greater than k. Ths s because of followng approxmatons nvolved n the process. ) Vllemonte s equaton (whch s applcable to rectangular wer) s appled to stepped wer. ) ) In conventonal rectangular wers the whole crest of wer s under submergence. But n case of stepped wer, crest and few steps are under submergence. In conventonal wers the flow on upstream s gentle. Whereas n present case there s presence of hydraulc jump on upstream of stepped wer. 3.6 Closure A new stllng basn desgn s proposed n the form of horzontal apron wth a stepped wer at ts end. A mathematcal procedure s developed to desgn geometry of rectangular sharp crested stepped wer for varous operatng condtons. Wer geometres are desgned for laboratory condtons. In case of horzontal apron, a new parameter - submerged flow coeffcents (k s ) s ntroduced and s determned emprcally for dfferent average submergence ratos (S r ). A relatonshp between S r and C dm s establshed for horzontal apron. The equaton for close startng heght of wer (y') s gven. To optmze geometry of stepped wer, few trals wth mathematcal procedure are requred to be taken wth values around y'. 54

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

x = , so that calculated

x = , so that calculated Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

Color Rendering Uncertainty

Color Rendering Uncertainty Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:

More information

Chapter 3 Describing Data Using Numerical Measures

Chapter 3 Describing Data Using Numerical Measures Chapter 3 Student Lecture Notes 3-1 Chapter 3 Descrbng Data Usng Numercal Measures Fall 2006 Fundamentals of Busness Statstcs 1 Chapter Goals To establsh the usefulness of summary measures of data. The

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 31 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 6. Rdge regresson The OLSE s the best lnear unbased

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced, FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then

More information

Uncertainty and auto-correlation in. Measurement

Uncertainty and auto-correlation in. Measurement Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11)

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11) Gravtatonal Acceleraton: A case of constant acceleraton (approx. hr.) (6/7/11) Introducton The gravtatonal force s one of the fundamental forces of nature. Under the nfluence of ths force all objects havng

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

/ n ) are compared. The logic is: if the two

/ n ) are compared. The logic is: if the two STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence

More information

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

Module 14: THE INTEGRAL Exploring Calculus

Module 14: THE INTEGRAL Exploring Calculus Module 14: THE INTEGRAL Explorng Calculus Part I Approxmatons and the Defnte Integral It was known n the 1600s before the calculus was developed that the area of an rregularly shaped regon could be approxmated

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force. Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Department of Electrical & Electronic Engineeing Imperial College London. E4.20 Digital IC Design. Median Filter Project Specification

Department of Electrical & Electronic Engineeing Imperial College London. E4.20 Digital IC Design. Median Filter Project Specification Desgn Project Specfcaton Medan Flter Department of Electrcal & Electronc Engneeng Imperal College London E4.20 Dgtal IC Desgn Medan Flter Project Specfcaton A medan flter s used to remove nose from a sampled

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

Chapter 4. Velocity analysis

Chapter 4. Velocity analysis 1 Chapter 4 Velocty analyss Introducton The objectve of velocty analyss s to determne the sesmc veloctes of layers n the subsurface. Sesmc veloctes are used n many processng and nterpretaton stages such

More information

Second Order Analysis

Second Order Analysis Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6 Department of Quanttatve Methods & Informaton Systems Tme Seres and Ther Components QMIS 30 Chapter 6 Fall 00 Dr. Mohammad Zanal These sldes were modfed from ther orgnal source for educatonal purpose only.

More information

Numerical Solution of Ordinary Differential Equations

Numerical Solution of Ordinary Differential Equations Numercal Methods (CENG 00) CHAPTER-VI Numercal Soluton of Ordnar Dfferental Equatons 6 Introducton Dfferental equatons are equatons composed of an unknown functon and ts dervatves The followng are examples

More information

( ) = ( ) + ( 0) ) ( )

( ) = ( ) + ( 0) ) ( ) EETOMAGNETI OMPATIBIITY HANDBOOK 1 hapter 9: Transent Behavor n the Tme Doman 9.1 Desgn a crcut usng reasonable values for the components that s capable of provdng a tme delay of 100 ms to a dgtal sgnal.

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

ITTC - Recommended Procedures and Guidelines

ITTC - Recommended Procedures and Guidelines Page of 9 able of Contents UCERAIY AALYSIS - EXAMPLE FOR WAERJE PROPULSIO ES... 2. PURPOSE OF PROCEDURE... 2 2. EXAMPLE FOR WAERJE PROPULSIO ES... 2 2. est Desgn... 2 2.2 Measurement Systems and Procedure...

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Pulse Coded Modulation

Pulse Coded Modulation Pulse Coded Modulaton PCM (Pulse Coded Modulaton) s a voce codng technque defned by the ITU-T G.711 standard and t s used n dgtal telephony to encode the voce sgnal. The frst step n the analog to dgtal

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models

More information

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00 ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental

More information

Comparative Studies of Law of Conservation of Energy. and Law Clusters of Conservation of Generalized Energy

Comparative Studies of Law of Conservation of Energy. and Law Clusters of Conservation of Generalized Energy Comparatve Studes of Law of Conservaton of Energy and Law Clusters of Conservaton of Generalzed Energy No.3 of Comparatve Physcs Seres Papers Fu Yuhua (CNOOC Research Insttute, E-mal:fuyh1945@sna.com)

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

Negative Binomial Regression

Negative Binomial Regression STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

EEL 6266 Power System Operation and Control. Chapter 3 Economic Dispatch Using Dynamic Programming

EEL 6266 Power System Operation and Control. Chapter 3 Economic Dispatch Using Dynamic Programming EEL 6266 Power System Operaton and Control Chapter 3 Economc Dspatch Usng Dynamc Programmng Pecewse Lnear Cost Functons Common practce many utltes prefer to represent ther generator cost functons as sngle-

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

Advanced Circuits Topics - Part 1 by Dr. Colton (Fall 2017)

Advanced Circuits Topics - Part 1 by Dr. Colton (Fall 2017) Advanced rcuts Topcs - Part by Dr. olton (Fall 07) Part : Some thngs you should already know from Physcs 0 and 45 These are all thngs that you should have learned n Physcs 0 and/or 45. Ths secton s organzed

More information

TREND OF POVERTY INTENSITY IN IRAN

TREND OF POVERTY INTENSITY IN IRAN www.arpapress.com/volumes/vol4issue/ijrras_4.pdf TREND OF POVERTY INTENSITY IN IRAN 99-200 F. Bagher & M.S. Avazalpour 2 Statstcal Research and Tranng Centre, Tehran, Iran 2 Statstcal Research and Tranng

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns Influence Of Operatng Condtons To The Effectveness Of Extractve Dstllaton Columns N.A. Vyazmna Moscov State Unversty Of Envrnmental Engneerng, Department Of Chemcal Engneerng Ul. Staraya Basmannaya 21/4,

More information

SIMPLE LINEAR REGRESSION

SIMPLE LINEAR REGRESSION Smple Lnear Regresson and Correlaton Introducton Prevousl, our attenton has been focused on one varable whch we desgnated b x. Frequentl, t s desrable to learn somethng about the relatonshp between two

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

Analysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features

Analysis of the Magnetomotive Force of a Three-Phase Winding with Concentrated Coils and Different Symmetry Features Analyss of the Magnetomotve Force of a Three-Phase Wndng wth Concentrated Cols and Dfferent Symmetry Features Deter Gerlng Unversty of Federal Defense Munch, Neubberg, 85579, Germany Emal: Deter.Gerlng@unbw.de

More information

SINGLE EVENTS, TIME SERIES ANALYSIS, AND PLANETARY MOTION

SINGLE EVENTS, TIME SERIES ANALYSIS, AND PLANETARY MOTION SINGLE EVENTS, TIME SERIES ANALYSIS, AND PLANETARY MOTION John N. Harrs INTRODUCTION The advent of modern computng devces and ther applcaton to tme-seres analyses permts the nvestgaton of mathematcal and

More information

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before .1 Arc Length hat s the length of a curve? How can we approxmate t? e could do t followng the pattern we ve used before Use a sequence of ncreasngly short segments to approxmate the curve: As the segments

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

Snce h( q^; q) = hq ~ and h( p^ ; p) = hp, one can wrte ~ h hq hp = hq ~hp ~ (7) the uncertanty relaton for an arbtrary state. The states that mnmze t

Snce h( q^; q) = hq ~ and h( p^ ; p) = hp, one can wrte ~ h hq hp = hq ~hp ~ (7) the uncertanty relaton for an arbtrary state. The states that mnmze t 8.5: Many-body phenomena n condensed matter and atomc physcs Last moded: September, 003 Lecture. Squeezed States In ths lecture we shall contnue the dscusson of coherent states, focusng on ther propertes

More information

Generalized Linear Methods

Generalized Linear Methods Generalzed Lnear Methods 1 Introducton In the Ensemble Methods the general dea s that usng a combnaton of several weak learner one could make a better learner. More formally, assume that we have a set

More information

ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION

ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LIX, 013, f.1 DOI: 10.478/v10157-01-00-y ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION BY ION

More information

A Bayes Algorithm for the Multitask Pattern Recognition Problem Direct Approach

A Bayes Algorithm for the Multitask Pattern Recognition Problem Direct Approach A Bayes Algorthm for the Multtask Pattern Recognton Problem Drect Approach Edward Puchala Wroclaw Unversty of Technology, Char of Systems and Computer etworks, Wybrzeze Wyspanskego 7, 50-370 Wroclaw, Poland

More information

Notes on Frequency Estimation in Data Streams

Notes on Frequency Estimation in Data Streams Notes on Frequency Estmaton n Data Streams In (one of) the data streamng model(s), the data s a sequence of arrvals a 1, a 2,..., a m of the form a j = (, v) where s the dentty of the tem and belongs to

More information

EEE 241: Linear Systems

EEE 241: Linear Systems EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they

More information

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger JAB Chan Long-tal clams development ASTIN - September 2005 B.Verder A. Klnger Outlne Chan Ladder : comments A frst soluton: Munch Chan Ladder JAB Chan Chan Ladder: Comments Black lne: average pad to ncurred

More information

Chapter 3. Estimation of Earthquake Load Effects

Chapter 3. Estimation of Earthquake Load Effects Chapter 3. Estmaton of Earthquake Load Effects 3.1 Introducton Sesmc acton on chmneys forms an addtonal source of natural loads on the chmney. Sesmc acton or the earthquake s a short and strong upheaval

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

NUMERICAL SIMULATION OF FLOW OVER STEPPED SPILLWAYS

NUMERICAL SIMULATION OF FLOW OVER STEPPED SPILLWAYS ISSN: 345-3109 RCEE Research n Cvl and Envronmental Engneerng www.rcee.com Research n Cvl and Envronmental Engneerng 014 (04) 190-198 NUMERICAL SIMULATION OF FLOW OVER STEPPED SPILLWAYS Rasoul Daneshfaraz

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Copyright 2004 by Oxford University Press, Inc.

Copyright 2004 by Oxford University Press, Inc. JT as an Amplfer &a Swtch, Large Sgnal Operaton, Graphcal Analyss, JT at D, asng JT, Small Sgnal Operaton Model, Hybrd P-Model, TModel. Lecture # 7 1 Drecton of urrent Flow & Operaton for Amplfer Applcaton

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Chapter 9: Statistical Inference and the Relationship between Two Variables

Chapter 9: Statistical Inference and the Relationship between Two Variables Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,

More information

THERMAL DISTRIBUTION IN THE HCL SPECTRUM OBJECTIVE

THERMAL DISTRIBUTION IN THE HCL SPECTRUM OBJECTIVE ame: THERMAL DISTRIBUTIO I THE HCL SPECTRUM OBJECTIVE To nvestgate a system s thermal dstrbuton n dscrete states; specfcally, determne HCl gas temperature from the relatve occupatons of ts rotatonal states.

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

Energy Storage Elements: Capacitors and Inductors

Energy Storage Elements: Capacitors and Inductors CHAPTER 6 Energy Storage Elements: Capactors and Inductors To ths pont n our study of electronc crcuts, tme has not been mportant. The analyss and desgns we hae performed so far hae been statc, and all

More information

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information