IMPROVED THREE PHASE POWER FLOW METHOD FOR CALCULATION OF POWER LOSSES IN UNBALANCED RADIAL DISTRIBUTION NETWORK

Size: px
Start display at page:

Download "IMPROVED THREE PHASE POWER FLOW METHOD FOR CALCULATION OF POWER LOSSES IN UNBALANCED RADIAL DISTRIBUTION NETWORK"

Transcription

1 24 th tertol Coferee o Eletrty struto Glsgow, Jue 217 er 489 MROE HREE HAE OWER FLOW MEHO FOR CALCULAON OF OWER LOE N UNBALANCE RAAL RBUON NEWORK omslv ALNJAK v AC Kruo RUNC HE O Crot FER - Crot HE O - Crot tomslv.lk@he.hr v.v@fer.hr kruo.tru@he.hr ABRAC Reetly, the eed for mrovg the effey of dstruto etwork terms of ower losses s eg emhszed. A lrge shre of totl ower losses refers to low voltge etworks whh re usully uled. For the ower flow lyss t s eessry to use three hse modelg. hs er resets modelg of dstruto etwork elemets d ther mlemetto kwrd/forwrd swee (BF) ower flow method. A mrovemet of BF method s develoed y usg the redth-frst serh method for etwork reumerg d reto of modfed dee mtrx. he mroved method mmzes the red elemets of eh terto d results sgft reduto of totl lulto tme wthout ury loss. hs mrovemet mkes ths method more sutle for usg rel tme lultos. he roosed method s used for lulto of ower losses uled d symmetrl etwork whh re omred. he urose of ths test s to show the dvtge of three hse ower flow lyss omred to symmetrl model. NROUCON Reetly, ower loss reduto d rese of dstruto etwork effey of dstruto etworks re eg emhszed. struto etworks re mostly rdl systems tht re hrterzed wth short rhes wth my lterls, lrge umer of odes, three hse d sgle hse users tht use uled lods. ue to resg eetrto of dstruted geerto ower flow oth dretos of rdl system tht lso mts o eletrl odtos d further omltes the mgemet of dstruto etwork. o esure dstruto etwork rellty, rese ts effey d to ele oetos of dstruted geerto t s eessry to rese etwork utomto d mlemet tve dstruto mgemet tht lso ludes otmsto of ower losses. For otmsto of ower losses t s eessry to mke ower flow lyss. ue to hgh R/X rto of dstruto etwork, ower flow methods tht re ommoly used for trsmsso etwork lyss, lke Guss-edel or Newto-Rhso, re ot sutle euse they do t lwys overge. For ower flow lyss of dstruto etworks re rther used BF method d ldder etwork theory method tht re oth desred [1]. Comrso of these methods s mde my reserhes d my of them more refer BF method lke [2] d [3]. Alyss of uled etworks y usg symmetrl model use urte results whh re rtulrly exressed low voltge etworks. Hee, for etter ury t s eessry to use three hse models. he urose of ths er s to reset the wy of modellg of three hse dstruto etwork elemets ludg les, trsformers d lods. el se s low voltge etwork tht s four wred le wth eutrl wre. Hee t hs to e trsformed three hse model so t e used the sme lulto wth three hse models of mddle voltge etworks. After defg three hse models tertve three hse ower flow BF method lgorthm wll e desred. ht method wll e used for lulto of totl ower losses dstruto etworks. For lrge etworks lulto tme e sgftly resed so t mkes some dffultes mlemetto of ths method rel tme lyss. ths er uthors mde mrovemet of the ommoly used BF method y reumerg of etwork odes d rhes y usg redth-frst serh grh theory method. he roosed method mmzes the umer of red elemets of dee mtrx, whh s srse mtrx, d thus redues the lulto tme. Comrso of lulto tme of the ommoly used BF method d the roosed method wll e mde for etworks wth vrous umers of odes. eveloed lgorthm wll e used for omrso of the results of ower losses lulto y usg symmetrl model d the three hse model. he lyss wll e mde o rel low voltge etwork d the results wll rove the dvtges of three hse model. HREE HAE RBUON NEWORK ELEMEN Le model struto mddle voltge les ossts of three hse odutors whle low voltge les ossts of three hse d o eutrl odutor. For three hse model of le t s eessry to defe mede d dmtte mtrx, oth wth dmesos 3 3. For four wred low voltge etwork tl mede d dmtte mtrx hve dmeso 4 4 d they eed to e trsformed to mtres wth dmeso 3 3. Fg. 1 resets four wred le seto model etwee odes d. he odutor medes etwee odes d of the sme hse re lled self-oulg medes d medes etwee odutors of dfferet hses re lled mutul-ouled medes. CRE 217 1/5

2 24 th tertol Coferee o Eletrty struto Glsgow, Jue 217 er 489 ( 1 ) (7) where (8) 1 (8) Fg. 1 Le model of four wred etwork For the utlty freuey of 5 Hz the formul for selfoulg medes s (1) d for mutul-oulg medes s (2) [4]: 93 R1,5,628l / km (1) Flly, mede mtrx e redued to dmesos 3 3 (9) [5]: (9) Fg. 2 resets the le seto model wth hse to hse d hse to groud shut tes: 93,5,628l / km (2) where R 1 resste of the odutor [Ω/km], r Erth resstvty [Ωm], Geometr Me Rdus of odutor [m], dste etwee hses d [m]. hese medes re used for reto of mede mtrx 4 4 (3) (3) Kro reduto s used for reduto of ths mtrx to dmesos 3 3. oltge euto etwee odes d s (4) [5]: Mtres re dvded loks y les so t e lso wrtte s (5): f the eutrl wre s grouded, the eul d the result s (6): 1 sertg (6) (5) gves (7): d (4) (5) re (6) Fg. 2 Le seto model wth shut tes elf d mutul otetl oeffets re defed s (1) d (11) [1]: l km F (1) / l km F (11) / where dste from odutor to ts mge [m], rdus of odutor [m], dste from odutor to the mge of odutor [m], dste from odutor to odutor [m]. hese otetl oeffets re used for reto of dmtte mtrx of ode (12): 1 B B B B B B (12) B B B f the vlues of self d mutul dmttes re kow, dmtte mtrx s eul to (13): 1,,, 2 (13) CRE 217 2/5

3 24 th tertol Coferee o Eletrty struto Glsgow, Jue 217 er 489 hut urrets ode re eul to (14): sh sh (14) sh sh ot lod models hree hse model of str oeted lod wth ostt ower t ode e exressed s (15): lod lod lod lod (15) gle hse lod urrets re lulted y usg (15) ut oly hse where the lod s oeted, whle the urret other two hses s eul to zero. eedg o the trsformer oeto vetor grou the model s derved y oetg three sgle hse models. Oe of the most ommoly used trsformers dstruto etwork s y5. ts three hse model s show Fg. 4 d ts urret-voltge euto s (18): A B C A B C (18) Curret d voltge le eutos otl urret tht flows through le seto s eul to sum of ll shut urrets ode, ll lod urrets ode d urrets of ll rhes tht ext from ode ext (16): lod sh ext (16) lod sh ext lod sh ext oltge euto s eul to (17): (17) rsformer model A sgle hse trsformer s modeled s four-ole model (Fg. 3). Fg. 3 A sgle hse trsformer model Fg. 4 Euvlet model of three hse trsformer y5 OLUON ALGORHM he roosed method s sed o BF method. ut rmeters re feeder voltge, lods ll odes, le rmeters d msmth tolere. Modfed dee mtrx he frst ste fter tlzto s to rete dee mtrx of the etwork. struto etworks re usully rdl wth lterls. her dee mtrx s srse mtrx where zero elemets me o oeto, -1 reresets sedg odes whh re loted o mtrx dgol d 1 reresets reevg odes. Redg of ll the elemets sgftly rologs lulto tme. he umer of red elemets NRE for every ste of BF s eul to umer of o-dgol elemets of uertrgulr mtrx ( ): ( 1) NRE (19) 2 CRE 217 3/5

4 24 th tertol Coferee o Eletrty struto Glsgow, Jue 217 er 489 he de of the roosed method s to rete modfed dee mtrx MM y usg redth-frst serh method where ll the o-dgol d o-zero elemets of eh row wll e sorted seuetly d thus mmze NRE. he method wll e exled o 9- ode smle etwork o Fg. 5. Fg. 5 A 9-ode smle etwork he umers elow the odes re ode lels. he frst ste of the method s to gve the ordl umers to odes d rhes. he frst ode s the feeder ode (usully usr or sustto) d the frst rh s tht whh eters the feeder ode. he odes tht re oeted to the frst ode re suessvely ssged wth ext ordl umers, d the ordl umers of rhes re eul to the ordl umer of the ode tht they eter. he for eh of these odes ther eghour odes re serhed d they get the ext free ordl umer. erhg s fshed whe the ed ode of the etwork s rehed. Fg. 5 the ode ordl umers re led ove the odes d the rh umers re led rles. A sheme of reumerg for the smle etwork s show Fg. 6. Fg. 6 Reumerg sheme for 9-ode smle etwork New ordl umers re used to rete MM. he th ode s led o the dgol elemet of the th row of the dee mtrx. he dgol elemets rereset reevg odes of rhes. All odes tht re oeted to the th ode re led the uer-trgulr rt of the mtrx the olum tht s eul to ther ordl umer. Fg. 7 reresets dee mtrx d ts modfto MM d the le oets oly elemets tht re red every loo. Fg. 7 dee mtrx d ts modfto BF method After reto of MM tertve roess of BF strts. eh terto k the frst ste s lulto of odl urrets ll odes (2): (k 1) 1) (k (k1) (2) (k 1) he ext ste s kwrd swee whh strts from the ed ode d suessvely moves to the feeder ode. he rh urrets re lulted s sum of odl urrets reevg ode d urrets of ll rhes tht ext the reevg ode (21): ext (21) he thrd ste s forwrd swee whh strts from the feeder ode d moves towrds the ed ode. Nodl voltges re lulted y usg (22): (22) Fl ste of eh terto s lulto of voltge msmth for every ode (23): (k1) 1,2,..., (23) f the voltge msmth for every ode ll hses s lower th tolere lmt, terto roess stos. otl ower losses re lulted s sum of ower losses ll rhes d losses shut tes (24): loss loss (24) loss, E REUL rh shut erforme test rogrm ode of ommoly used BF d the roosed method s mde MALAB order to omre ther exeuto tmes for etworks wth vrous umers of odes. All tests re mde o omuter wth AM Athlo 64 X2 dul ore roessor 2.5 GHz d 6. GB RAM. he erforme tests re mde o smle three hse dstruto grds wth 9, 34, 1, 25, 5 d 1 odes. Eh test s erformed for overgee tolere ε=.1. Clulto durtos re omred le. Gve results re verge vlues of te oseutve lultos. otl umers of dee mtrx elemets tht re red durg the terto roess (NRE) for oth methods re omred le. CRE 217 4/5

5 24 th tertol Coferee o Eletrty struto Glsgow, Jue 217 er 489 le Comrso of lulto durtos (ε =.1) ε =.1 Nodes me roosed tertos BF (s) reduto method (s) (%) % % % % % % le Comrso of totl NRE (ε =.1) ε =.1 Nodes roosed Numer BF method reduto (%) % % % % % % Bsed o test results t e oluded tht the roosed method s sgftly more effet, d the effey s more emhszed lrger etworks. For the etwork wth 1 odes tht overges 6 tertos the roosed method redues umer of dee mtrx red elemets for more th seve tmes whh uses the three tmes shorter exeuto tme omrso wth the ommoly used BF method. ower losses lyss of uled etworks Oe of the gols of ths er s to omre results of ower losses lulto uled dstruto etworks wth three hse model d symmetrl model. est ws erformed for fve ses of dly dgrm of low voltge uled etwork tht s suled from sustto 1/.4 k v. Mte er lvosk Brod, Crot, wth 64 three hse d 18 sgle hse ustomers (Fg. 8) d test results re show le. Fg. 8 Low voltge,4 k etwork of sustto 1/.4 k v. Mte le Comrso of ower losses lulto results y three hse model d symmetrl model otl otl ower losses (ka) me Msmth ower (h) hree (%) (ka) ymmetr hse 1: : : : : For ower losses lyss of uled etworks three hse model s more urte euse t dstgushes three hse d sgle hse lods s well s symmetry of three hse lods. Bsed o test results t e oluded tht the more uled lod of the etwork uses greter msmth etwee the results. hus, for ower losses lyss of uled dstruto etworks, eselly of low voltge etworks, t s reommeded to use three hse model. CONCLUON hs er resets how to use three hse ower flow lulto BF method for uled dstruto etworks. he uthors develoed mrovemet of ommoly used BF y modfto of dee mtrx y redth-frst serh method whh resulted sgft reduto of rogrm exeuto tme. he roosed method s used for lulto of ower losses uled etworks d the oluso s tht t s more urte th symmetrl model. Although three hse lulto model s more omlex th symmetrl model, d thus t lsts loger, mrovemet reseted ths er, whh sgftly shortes rogrm exeuto tme, mkes the roosed method sutle for lto rel tme lyss. REFERENCE [1] W.H. Kerstg, 22, struto system modellg d lyss, CRC ress, Bo Rto, UA [2] K. Krush Murthy,.. Jy Rm Kumr, 212, hree hse uled rdl dstruto lod flow method, tertol refereed Jourl of Egeerg d ee, ol. 1, No. 1, [3] A. Alsd, B. Gholm, 29, A effetve roh for dstruto system ower flow soluto, tertol Jourl of Eletrl, Comuter, Eerget, Eleltro d Commuto Egeerg, ol. 3, 1-5 [4]. v, 211, rofz roru tokov sg, Udze sveulst u greu, gre, Crot [5] J.B.. urhmym, 29, Lod flow soluto of uled rdl dstruto systems, Jourl of heoretl d Aled formto ehology, ol. 6, No. 1, 4-51 CRE 217 5/5

Chapter Gauss-Seidel Method

Chapter Gauss-Seidel Method Chpter 04.08 Guss-Sedel Method After redg ths hpter, you should be ble to:. solve set of equtos usg the Guss-Sedel method,. reogze the dvtges d ptflls of the Guss-Sedel method, d. determe uder wht odtos

More information

CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD

CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD 67 CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD 7. INTRODUCTION The eso mers the setors le fl ororte lg routo lg mretg me seleto uversty lg stuet mssos

More information

Problem Set 4 Solutions

Problem Set 4 Solutions 4 Eoom Altos of Gme Theory TA: Youg wg /08/0 - Ato se: A A { B, } S Prolem Set 4 Solutos - Tye Se: T { α }, T { β, β} Se Plyer hs o rte formto, we model ths so tht her tye tke oly oe lue Plyer kows tht

More information

The linear system. The problem: solve

The linear system. The problem: solve The ler syste The prole: solve Suppose A s vertle, the there ests uue soluto How to effetly opute the soluto uerlly??? A A A evew of dret ethods Guss elto wth pvotg Meory ost: O^ Coputtol ost: O^ C oly

More information

Solutions Manual for Polymer Science and Technology Third Edition

Solutions Manual for Polymer Science and Technology Third Edition Solutos ul for Polymer Scece d Techology Thrd Edto Joel R. Fred Uer Sddle Rver, NJ Bosto Idols S Frcsco New York Toroto otrel Lodo uch Prs drd Cetow Sydey Tokyo Sgore exco Cty Ths text s ssocted wth Fred/Polymer

More information

1/16/2013. Overview. 05-Three Phase Analysis Text: Three Phase. Three-Phase Voltages. Benefits of Three-Phase Systems.

1/16/2013. Overview. 05-Three Phase Analysis Text: Three Phase. Three-Phase Voltages. Benefits of Three-Phase Systems. oltge () 1/16/21 Overview 5Three Phse Alysis Text: 2.4 2.7 ECEGR 451 Power Systems ThreePhse Soures Delt d Y Coetios ThreePhse Lods ThreePhse Power ThreePhse Alysis PerPhse Alysis Dr. Louie 2 ThreePhse

More information

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2.

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2. Chter Chter Syste of Rel uers Tertg Del frto: The del frto whh Gve fte uers of dgts ts del rt s lled tertg del frto. Reurrg ( o-tertg )Del frto: The del frto (No tertg) whh soe dgts re reeted g d g the

More information

3/20/2013. Splines There are cases where polynomial interpolation is bad overshoot oscillations. Examplef x. Interpolation at -4,-3,-2,-1,0,1,2,3,4

3/20/2013. Splines There are cases where polynomial interpolation is bad overshoot oscillations. Examplef x. Interpolation at -4,-3,-2,-1,0,1,2,3,4 // Sples There re ses where polyoml terpolto s d overshoot oslltos Emple l s Iterpolto t -,-,-,-,,,,,.... - - - Ide ehd sples use lower order polyomls to oet susets o dt pots mke oetos etwee djet sples

More information

The Z-Transform in DSP Lecture Andreas Spanias

The Z-Transform in DSP Lecture Andreas Spanias The Z-Trsform DSP eture - Adres Ss ss@su.edu 6 Coyrght 6 Adres Ss -- Poles d Zeros of I geerl the trsfer futo s rtol; t hs umertor d deomtor olyoml. The roots of the umertor d deomtor olyomls re lled the

More information

Chapter Unary Matrix Operations

Chapter Unary Matrix Operations Chpter 04.04 Ury trx Opertos After redg ths chpter, you should be ble to:. kow wht ury opertos mes,. fd the trspose of squre mtrx d t s reltoshp to symmetrc mtrces,. fd the trce of mtrx, d 4. fd the ermt

More information

1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1.

1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1. SPECIAL MATRICES SYMMETRIC MATRICES Def: A mtr A s symmetr f d oly f A A, e,, Emple A s symmetr Def: A mtr A s skew symmetr f d oly f A A, e,, Emple A s skew symmetr Remrks: If A s symmetr or skew symmetr,

More information

Matrix. Definition 1... a1 ... (i) where a. are real numbers. for i 1, 2,, m and j = 1, 2,, n (iii) A is called a square matrix if m n.

Matrix. Definition 1... a1 ... (i) where a. are real numbers. for i 1, 2,, m and j = 1, 2,, n (iii) A is called a square matrix if m n. Mtrx Defto () s lled order of m mtrx, umer of rows ( 橫行 ) umer of olums ( 直列 ) m m m where j re rel umers () B j j for,,, m d j =,,, () s lled squre mtrx f m (v) s lled zero mtrx f (v) s lled detty mtrx

More information

Mathematically, integration is just finding the area under a curve from one point to another. It is b

Mathematically, integration is just finding the area under a curve from one point to another. It is b Numerl Metods or Eg [ENGR 9] [Lyes KADEM 7] CHAPTER VI Numerl Itegrto Tops - Rem sums - Trpezodl rule - Smpso s rule - Rrdso s etrpolto - Guss qudrture rule Mtemtlly, tegrto s just dg te re uder urve rom

More information

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS

ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl Alyss for Egeers Germ Jord Uversty ITERATIVE METHODS FOR SOLVING SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS Numercl soluto of lrge systems of ler lgerc equtos usg drect methods such s Mtr Iverse, Guss

More information

Dual-Matrix Approach for Solving the Transportation Problem

Dual-Matrix Approach for Solving the Transportation Problem Itertol Jourl of Mthets Tres Tehology- Volue Nuer Jue 05 ul-mtr Aroh for Solvg the Trsortto Prole Vy Shr r Chr Bhus Shr ertet of Mthets, BBM College r, Jeh, (MU), INIA E-Prl, SS College Jeh, (MU), INIA

More information

Analele Universităţii din Oradea, Fascicula: Protecţia Mediului, Vol. XIII, 2008

Analele Universităţii din Oradea, Fascicula: Protecţia Mediului, Vol. XIII, 2008 Alele Uverstăţ d Orde Fsul: Proteţ Medulu Vol. XIII 00 THEORETICAL AND COMPARATIVE STUDY REGARDING THE MECHANICS DISPLASCEMENTS UNDER THE STATIC LOADINGS FOR THE SQUARE PLATE MADE BY WOOD REFUSE AND MASSIF

More information

Numerical Differentiation and Integration

Numerical Differentiation and Integration Numerl Deretto d Itegrto Overvew Numerl Deretto Newto-Cotes Itegrto Formuls Trpezodl rule Smpso s Rules Guss Qudrture Cheyshev s ormul Numerl Deretto Forwrd te dvded deree Bkwrd te dvded deree Ceter te

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

Mathematical models for computer systems behaviour

Mathematical models for computer systems behaviour Mthemtcl models for comuter systems ehvour Gols : redct comuter system ehvours - erformces mesuremets, - comrso of systems, - dmesog, Methodology : - modellg evromet (stochstc rocess) - modellg system

More information

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced

More information

5 - Determinants. r r. r r. r r. r s r = + det det det

5 - Determinants. r r. r r. r r. r s r = + det det det 5 - Detemts Assote wth y sque mtx A thee s ume lle the etemt of A eote A o et A. Oe wy to efe the etemt, ths futo fom the set of ll mtes to the set of el umes, s y the followg thee popetes. All mtes elow

More information

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector

Level-2 BLAS. Matrix-Vector operations with O(n 2 ) operations (sequentially) BLAS-Notation: S --- single precision G E general matrix M V --- vector evel-2 BS trx-vector opertos wth 2 opertos sequetlly BS-Notto: S --- sgle precso G E geerl mtrx V --- vector defes SGEV, mtrx-vector product: r y r α x β r y ther evel-2 BS: Solvg trgulr system x wth trgulr

More information

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11:

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11: Soo Kg Lm 1.0 Nested Fctorl Desg... 1.1 Two-Fctor Nested Desg... 1.1.1 Alss of Vrce... Exmple 1... 5 1.1. Stggered Nested Desg for Equlzg Degree of Freedom... 7 1.1. Three-Fctor Nested Desg... 8 1.1..1

More information

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is SPH3UW Uit 7.5 Sell s Lw Pge 1 of 7 Notes Physis Tool ox Refrtio is the hge i diretio of wve due to hge i its speed. This is most ommoly see whe wve psses from oe medium to other. Idex of refrtio lso lled

More information

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4 58487 Dt Compressio Tehiques (Sprig 0) Moel Solutios for Exerise 4 If you hve y fee or orretios, plese ott jro.lo t s.helsii.fi.. Prolem: Let T = Σ = {,,, }. Eoe T usig ptive Huffm oig. Solutio: R 4 U

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cpter 7. Smpso s / Rule o Itegrto Ater redg ts pter, you sould e le to. derve te ormul or Smpso s / rule o tegrto,. use Smpso s / rule t to solve tegrls,. develop te ormul or multple-segmet Smpso s / rule

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Mtr Trsformtos usg Egevectors September 8, Mtr Trsformtos Usg Egevectors Lrry Cretto Mechcl Egeerg A Semr Egeerg Alyss September 8, Outle Revew lst lecture Trsformtos wth mtr of egevectors: = - A ermt

More information

Density estimation II

Density estimation II CS 750 Mche Lerg Lecture 6 esty estmto II Mlos Husrecht mlos@tt.edu 539 Seott Squre t: esty estmto {.. } vector of ttrute vlues Ojectve: estmte the model of the uderlyg rolty dstruto over vrles X X usg

More information

Global Journal of Engineering and Technology Review

Global Journal of Engineering and Technology Review Glol Jourl of Egeerg d eholog Revew Jourl homepge: http://gjetr.org/ Glol Jourl of Egeerg d eholog Revew () 85 9 (06) Applto of Cojugte Grdet Method wth Cu No- Poloml Sple Sheme for Solvg wo-pot Boudr

More information

Modeling uncertainty using probabilities

Modeling uncertainty using probabilities S 1571 Itroduto to I Leture 23 Modelg uertty usg probbltes Mlos Huskreht mlos@s.ptt.edu 5329 Seott Squre dmstrto Fl exm: Deember 11 2006 12:00-1:50pm 5129 Seott Squre Uertty To mke dgost feree possble

More information

CHAPTER 3 NETWORK ADMITTANCE AND IMPEDANCE MATRICES

CHAPTER 3 NETWORK ADMITTANCE AND IMPEDANCE MATRICES CHAPTER NETWORK ADTTANCE AND PEDANCE ATRCES As we hve see i Chter tht ower system etwor c e coverted ito equivlet imedce digrm. This digrm forms the sis of ower flow (or lod flow) studies d short circuit

More information

University of California at Berkeley College of Engineering Dept. of Electrical Engineering and Computer Sciences.

University of California at Berkeley College of Engineering Dept. of Electrical Engineering and Computer Sciences. Uversty of Clfor t Berkeley College of Egeerg et. of Electrcl Egeerg Comuter Sceces EE 5 Mterm I Srg 6 Prof. Mg C. u Feb. 3, 6 Gueles Close book otes. Oe-ge formto sheet llowe. There re some useful formuls

More information

Analyzing Control Structures

Analyzing Control Structures Aalyzg Cotrol Strutures sequeg P, P : two fragmets of a algo. t, t : the tme they tae the tme requred to ompute P ;P s t t Θmaxt,t For loops for to m do P t: the tme requred to ompute P total tme requred

More information

Chapter 1 Vector Spaces

Chapter 1 Vector Spaces Chpter Vetor pes - Vetor pes Ler Comtos Vetor spe V V s set over fel F f V F! + V. Eg. R s vetor spe. For R we hek -4=-4-4R -7=-7-7R et. Eg. how tht the set of ll polomls PF wth oeffets from F s vetor

More information

Lecture 3-4 Solutions of System of Linear Equations

Lecture 3-4 Solutions of System of Linear Equations Lecture - Solutos of System of Ler Equtos Numerc Ler Alger Revew of vectorsd mtrces System of Ler Equtos Guss Elmto (drect solver) LU Decomposto Guss-Sedel method (tertve solver) VECTORS,,, colum vector

More information

CHAPTER 5 Vectors and Vector Space

CHAPTER 5 Vectors and Vector Space HAPTE 5 Vetors d Vetor Spe 5. Alger d eometry of Vetors. Vetor A ordered trple,,, where,, re rel umers. Symol:, B,, A mgtude d dreto.. Norm of vetor,, Norm =,, = = mgtude. Slr multplto Produt of slr d

More information

Lecture 3: Review of Linear Algebra and MATLAB

Lecture 3: Review of Linear Algebra and MATLAB eture 3: Revew of er Aler AAB Vetor mtr otto Vetors tres Vetor spes er trsformtos Eevlues eevetors AAB prmer Itrouto to Ptter Reoto Rro Guterrez-su Wrht Stte Uverst Vetor mtr otto A -mesol (olum) vetor

More information

Current Programmed Control (i.e. Peak Current-Mode Control) Lecture slides part 2 More Accurate Models

Current Programmed Control (i.e. Peak Current-Mode Control) Lecture slides part 2 More Accurate Models Curret Progred Cotrol.e. Pek Curret-Mode Cotrol eture lde prt More Aurte Model ECEN 5807 Drg Mkovć Sple Frt-Order CPM Model: Sury Aupto: CPM otroller operte delly, Ueful reult t low frequee, well uted

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

More information

Rendering Equation. Linear equation Spatial homogeneous Both ray tracing and radiosity can be considered special case of this general eq.

Rendering Equation. Linear equation Spatial homogeneous Both ray tracing and radiosity can be considered special case of this general eq. Rederg quto Ler equto Sptl homogeeous oth ry trcg d rdosty c be cosdered specl cse of ths geerl eq. Relty ctul photogrph Rdosty Mus Rdosty Rederg quls the dfferece or error mge http://www.grphcs.corell.edu/ole/box/compre.html

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

INTERPOLATION(2) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek

INTERPOLATION(2) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek ELM Numerl Alss Dr Murrem Merme INTEROLATION ELM Numerl Alss Some of te otets re dopted from Luree V. Fusett Appled Numerl Alss usg MATLAB. rete Hll I. 999 ELM Numerl Alss Dr Murrem Merme Tod s leture

More information

Accurate and Efficient Gate-Level Parametric Yield Estimation Considering Correlated Variations in Leakage Power and Performance

Accurate and Efficient Gate-Level Parametric Yield Estimation Considering Correlated Variations in Leakage Power and Performance Aurte d Effet Gte-Level rmetr Yeld Estmto Cosderg Correlted Vrtos Lekge ower d erforme Ashsh Srvstv es Sylvester Suml Shh vd Bluw Kk Agrwl Stehe retor Uversty of Mhg, EECS ertmet, A Aror, MI 489 {srvs,

More information

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley Module B.1 Siusoidl stedy-stte lysis (sigle-phse), review.2 Three-phse lysis Kirtley Chpter 2: AC Voltge, Curret d Power 2.1 Soures d Power 2.2 Resistors, Idutors, d Cpitors Chpter 4: Polyphse systems

More information

Math 1313 Final Exam Review

Math 1313 Final Exam Review Mth 33 Fl m Revew. The e Compy stlled ew mhe oe of ts ftores t ost of $0,000. The mhe s depreted lerly over 0 yers wth srp vlue of $,000. Fd the vlue of the mhe fter 5 yers.. mufturer hs mothly fed ost

More information

Introduction of Fourier Series to First Year Undergraduate Engineering Students

Introduction of Fourier Series to First Year Undergraduate Engineering Students Itertiol Jourl of Adved Reserh i Computer Egieerig & Tehology (IJARCET) Volume 3 Issue 4, April 4 Itrodutio of Fourier Series to First Yer Udergrdute Egieerig Studets Pwr Tejkumr Dtttry, Hiremth Suresh

More information

CS 4758 Robot Kinematics. Ashutosh Saxena

CS 4758 Robot Kinematics. Ashutosh Saxena CS 4758 Rt Kemt Ahuth Se Kemt tude the mt f de e re tereted tw emt tp Frwrd Kemt (ge t pt ht u re gve: he egth f eh he ge f eh t ht u fd: he pt f pt (.e. t (,, rdte Ivere Kemt (pt t ge ht u re gve: he

More information

Recent Progresses on the Simplex Method

Recent Progresses on the Simplex Method Reet Progresses o the Smple Method www.stford.edu/~yyye K.T. L Professor of Egeerg Stford Uversty d Itertol Ceter of Mgemet See d Egeerg Ng Uversty Outles Ler Progrmmg (LP) d the Smple Method Mrkov Deso

More information

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions

12 Iterative Methods. Linear Systems: Gauss-Seidel Nonlinear Systems Case Study: Chemical Reactions HK Km Slghtly moded //9 /8/6 Frstly wrtte t Mrch 5 Itertve Methods er Systems: Guss-Sedel Noler Systems Cse Study: Chemcl Rectos Itertve or ppromte methods or systems o equtos cosst o guessg vlue d the

More information

Diagonally Implicit Runge-Kutta Nystrom General Method Order Five for Solving Second Order IVPs

Diagonally Implicit Runge-Kutta Nystrom General Method Order Five for Solving Second Order IVPs WSEAS TRANSACTIONS o MATHEMATICS Fudzh Isml Dgoll Implt Ruge-Kutt Nstrom Geerl Method Order Fve for Solvg Seod Order IVPs FUDZIAH ISMAIL Deprtmet of Mthemts Uverst Putr Mls Serdg Selgor MALAYSIA fudzh@mth.upm.edu.m

More information

Dynamics of Marine Biological Resources * * * REVIEW OF SOME MATHEMATICS * * *

Dynamics of Marine Biological Resources * * * REVIEW OF SOME MATHEMATICS * * * Dmis o Mrie Biologil Resores A FUNCTION * * * REVIEW OF SOME MATHEMATICS * * * z () z g(,) A tio is rle or orml whih estlishes reltioshi etwee deedet vrile (z) d oe or more ideedet vriles (,) sh tht there

More information

Investigation on Integrated Control Strategies for Grid-tied Inverters under Unbalanced Grid Voltage

Investigation on Integrated Control Strategies for Grid-tied Inverters under Unbalanced Grid Voltage roeegs of the tertol MultCoferee of Egeers Comuter Setsts 18 ol MECS 18, Mrh 14-16, 18, Hog Kog estgto o tegrte Cotrol Strteges for Gr-te erters uer Ule Gr oltge C.T. M, Memer, AENG Astrt Ths er estgtes

More information

MATRIX AND VECTOR NORMS

MATRIX AND VECTOR NORMS Numercl lyss for Egeers Germ Jord Uversty MTRIX ND VECTOR NORMS vector orm s mesure of the mgtude of vector. Smlrly, mtr orm s mesure of the mgtude of mtr. For sgle comoet etty such s ordry umers, the

More information

A Multilevel Active Front- End Rectifier With Current Harmonic Compensation Capability

A Multilevel Active Front- End Rectifier With Current Harmonic Compensation Capability A Multlevel Atve Frot- E etfer Wth Curret Hrmo Comesto Clty Fro Heráez () tuet IEEE Lus Morá (), eor IEEE José Esoz (), Memer IEEE Ju Dxo (), eor IEEE () Deto. e Igeerí Elétr, Uvers e Coeó, Csll 60-C.

More information

6.6 Moments and Centers of Mass

6.6 Moments and Centers of Mass th 8 www.tetodre.co 6.6 oets d Ceters of ss Our ojectve here s to fd the pot P o whch th plte of gve shpe lces horzotll. Ths pot s clled the ceter of ss ( or ceter of grvt ) of the plte.. We frst cosder

More information

2. Elementary Linear Algebra Problems

2. Elementary Linear Algebra Problems . Eleety e lge Pole. BS: B e lge Suoute (Pog pge wth PCK) Su of veto opoet:. Coputto y f- poe: () () () (3) N 3 4 5 3 6 4 7 8 Full y tee Depth te tep log()n Veto updte the f- poe wth N : ) ( ) ( ) ( )

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

Chapter 12-b Integral Calculus - Extra

Chapter 12-b Integral Calculus - Extra C - Itegrl Clulus Cpter - Itegrl Clulus - Etr Is Newto Toms Smpso BONUS Itroduto to Numerl Itegrto C - Itegrl Clulus Numerl Itegrto Ide s to do tegrl smll prts, lke te wy we preseted tegrto: summto. Numerl

More information

LESSON 11: TRANSFORMER NAME PLATE DATA AND CONNECTIONS

LESSON 11: TRANSFORMER NAME PLATE DATA AND CONNECTIONS ET 332 Motors, Geertors d Power Systems LESSON 11: TRNSFORMER NME PLTE DT ND ONNETIONS 1 LERNING OJETIVES fter this presettio you will e le to: Idetify trsformer polrity usig dot d ovetiol lelig. Expli

More information

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ]

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ] Atervtves The Itegrl Atervtves Ojectve: Use efte tegrl otto for tervtves. Use sc tegrto rules to f tervtves. Aother mportt questo clculus s gve ervtve f the fucto tht t cme from. Ths s the process kow

More information

Further Discussions on Induced Bias Matrix Model for the. Pair-wise Comparison Matrix

Further Discussions on Induced Bias Matrix Model for the. Pair-wise Comparison Matrix Furer Dsussos o Idued Bs Mtrx Model for e Pr-wse Comrso Mtrx D Ergu, Gg Kou Y Peg, * Jáos Fülö Yog Sh 4,5 Abstrt Iosstey ssue of rwse omrso mtres hs bee mortt subet e lytl etwor roess The most osstet elemets

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule

More information

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares

A Technique for Constructing Odd-order Magic Squares Using Basic Latin Squares Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue, My 0 ISSN 0- A Techque for Costructg Odd-order Mgc Squres Usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDIA) tombrom@gml.com

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

" = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction

 = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction Eletromgnet Induton nd Frdy s w Eletromgnet Induton Mhel Frdy (1791-1867) dsoered tht hngng mgnet feld ould produe n eletr urrent n ondutor pled n the mgnet feld. uh urrent s lled n ndued urrent. The phenomenon

More information

Project 3: Using Identities to Rewrite Expressions

Project 3: Using Identities to Rewrite Expressions MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht

More information

332:221 Principles of Electrical Engineering I Fall Hourly Exam 2 November 6, 2006

332:221 Principles of Electrical Engineering I Fall Hourly Exam 2 November 6, 2006 2:221 Principles of Electricl Engineering I Fll 2006 Nme of the student nd ID numer: Hourly Exm 2 Novemer 6, 2006 This is closed-ook closed-notes exm. Do ll your work on these sheets. If more spce is required,

More information

An Introduction to Robot Kinematics. Renata Melamud

An Introduction to Robot Kinematics. Renata Melamud A Itrdut t Rt Kemt Ret Memud Kemt tude the mt f de A Empe -he UMA 56 3 he UMA 56 hsirevute t A revute t h E degree f freedm ( DF tht defed t ge 4 here re tw mre t the ed effetr (the grpper ther t Revute

More information

Preliminary Examinations: Upper V Mathematics Paper 1

Preliminary Examinations: Upper V Mathematics Paper 1 relmr Emtos: Upper V Mthemtcs per Jul 03 Emer: G Evs Tme: 3 hrs Modertor: D Grgortos Mrks: 50 INSTRUCTIONS ND INFORMTION Ths questo pper sts of 0 pges, cludg swer Sheet pge 8 d Iformto Sheet pges 9 d 0

More information

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation

PGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

Section 1.3 Triangles

Section 1.3 Triangles Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior

More information

Numerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1

Numerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1 Numeril Methods Leture 5. Numeril itegrtio dr h. iż. Ktrzy Zkrzewsk, pro. AGH Numeril Methods leture 5 Outlie Trpezoidl rule Multi-segmet trpezoidl rule Rihrdso etrpoltio Romerg's method Simpso's rule

More information

Chapter 4 State-Space Planning

Chapter 4 State-Space Planning Leture slides for Automted Plnning: Theory nd Prtie Chpter 4 Stte-Spe Plnning Dn S. Nu CMSC 722, AI Plnning University of Mrylnd, Spring 2008 1 Motivtion Nerly ll plnning proedures re serh proedures Different

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Systems of second order ordinary differential equations

Systems of second order ordinary differential equations Ffth order dgolly mplct Ruge-Kutt Nystrom geerl method solvg secod Order IVPs Fudzh Isml Astrct A dgolly mplct Ruge-Kutt-Nystróm Geerl (SDIRKNG) method of ffth order wth explct frst stge for the tegrto

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

Keywords: Heptic non-homogeneous equation, Pyramidal numbers, Pronic numbers, fourth dimensional figurate numbers.

Keywords: Heptic non-homogeneous equation, Pyramidal numbers, Pronic numbers, fourth dimensional figurate numbers. [Gol 5: M 0] ISSN: 77-9655 IJEST INTENTIONL JOUNL OF ENGINEEING SCIENCES & ESECH TECHNOLOGY O the Hetc No-Hoogeeous Euto th Four Ukos z 6 0 M..Gol * G.Suth S.Vdhlksh * Dertet of MthetcsShrt Idr Gdh CollegeTrch

More information

Introducing Sieve of Eratosthenes as a Theorem

Introducing Sieve of Eratosthenes as a Theorem ISSN(Ole 9-8 ISSN (Prt - Iteratoal Joural of Iovatve Research Scece Egeerg ad echolog (A Hgh Imact Factor & UGC Aroved Joural Webste wwwrsetcom Vol Issue 9 Setember Itroducg Seve of Eratosthees as a heorem

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS ELM Numecl Alyss D Muhem Mecmek SOLVING SYSTEMS OF EQUATIONS DIRECT METHODS ELM Numecl Alyss Some of the cotets e dopted fom Luee V. Fusett Appled Numecl Alyss usg MATLAB. Petce Hll Ic. 999 ELM Numecl

More information

8 THREE PHASE A.C. CIRCUITS

8 THREE PHASE A.C. CIRCUITS 8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

GENERALIZED OPERATIONAL RELATIONS AND PROPERTIES OF FRACTIONAL HANKEL TRANSFORM

GENERALIZED OPERATIONAL RELATIONS AND PROPERTIES OF FRACTIONAL HANKEL TRANSFORM S. Res. Chem. Commu.: (3 8-88 ISSN 77-669 GENERLIZED OPERTIONL RELTIONS ND PROPERTIES OF FRCTIONL NKEL TRNSFORM R. D. TYWDE *. S. GUDDE d V. N. MLLE b Pro. Rm Meghe Isttute o Teholog & Reserh Bder MRVTI

More information

A Novel Composite-rotating Consensus for Multi-agent System

A Novel Composite-rotating Consensus for Multi-agent System d Itertol Symposum o Computer, Commuto, Cotrol d Automto (CA ) A Novel Composte-rottg Cosesus for Mult-get System Gu L Shool of Aerouts d Astrouts Uversty of Eletro See d ehology of Ch ChegDu, Ch lgu@uestedu

More information

COMPENSATION ALGORITHMS BASED ON THE p-q AND CPC THEORIES FOR SWITCHING COMPENSATORS IN MICRO-GRIDS

COMPENSATION ALGORITHMS BASED ON THE p-q AND CPC THEORIES FOR SWITCHING COMPENSATORS IN MICRO-GRIDS COBEP 009 - The 0th Brzl Power Eletros Coferee, Pper 49, 7 Septemer to 0 Otoer 009, Boto, MS, Brzl, ISSN 75-860, pp -40 COMPENSTION LGORITHMS BSED ON THE p-q ND CPC THEORIES FOR SWITCHING COMPENSTORS IN

More information

MATH 371 Homework assignment 1 August 29, 2013

MATH 371 Homework assignment 1 August 29, 2013 MATH 371 Homework assgmet 1 August 29, 2013 1. Prove that f a subset S Z has a smallest elemet the t s uque ( other words, f x s a smallest elemet of S ad y s also a smallest elemet of S the x y). We kow

More information

Numerical Analysis Topic 4: Least Squares Curve Fitting

Numerical Analysis Topic 4: Least Squares Curve Fitting Numerl Alss Top 4: Lest Squres Curve Fttg Red Chpter 7 of the tetook Alss_Numerk Motvto Gve set of epermetl dt: 3 5. 5.9 6.3 The reltoshp etwee d m ot e ler. Fd futo f tht est ft the dt 3 Alss_Numerk Motvto

More information

Math 10 Discrete Mathematics

Math 10 Discrete Mathematics Math 0 Dsrete Mathemats T. Heso REVIEW EXERCISES FOR EXM II Whle these problems are represetatve of the types of problems that I mght put o a exam, they are ot lusve. You should be prepared to work ay

More information

Section 3. Measurement Errors

Section 3. Measurement Errors eto 3 Measuremet Errors Egeerg Measuremets 3 Types of Errors Itrs errors develops durg the data aqusto proess. Extrs errors foud durg data trasfer ad storage ad are due to the orrupto of the sgal y ose.

More information

CS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang

CS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang CS 33 Desig d Alysis of Algorithms -- Divide d Coquer Dr. Disy Tg Divide-Ad-Coquer Geerl ide: Divide problem ito subproblems of the sme id; solve subproblems usig the sme pproh, d ombie prtil solutios,

More information

A Dynamical Quasi-Boolean System

A Dynamical Quasi-Boolean System ULETNUL Uestăţ Petol Gze Ploeşt Vol LX No / - 9 Se Mtetă - otă - Fză l Qs-oole Sste Gel Mose Petole-Gs Uest o Ploest ots etet est 39 Ploest 68 o el: ose@-loesto stt Ths e oes the esto o ol theoetl oet:

More information

Implicit Runge-Kutta method for Van der pol problem

Implicit Runge-Kutta method for Van der pol problem Appled d Computtol Mthemts 5; 4(-: - Publshed ole Jul, 4 (http://www.seepublshggroup.om//m do:.48/.m.s.54. ISSN: 8-55 (Prt; ISSN: 8-5 (Ole Implt Ruge-Kutt method for V der pol problem Jfr Bzr *, Mesm Nvd

More information

CHAPTER 7 SYMMETRICAL COMPONENTS AND REPRESENTATION OF FAULTED NETWORKS

CHAPTER 7 SYMMETRICAL COMPONENTS AND REPRESENTATION OF FAULTED NETWORKS HAPTER 7 SMMETRAL OMPOETS AD REPRESETATO OF FAULTED ETWORKS A uled three-phe yte e reolved ito three led yte i the iuoidl tedy tte. Thi ethod of reolvig uled yte ito three led phor yte h ee propoed y.

More information

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III.

( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III. Assessmet Ceter Elemetry Alger Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give

More information

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +.

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +. Ler Trsfortos d Group Represettos Hoework #3 (06-07, Aswers Q-Q re further exerses oer dots, self-dot trsfortos, d utry trsfortos Q3-6 volve roup represettos Of these, Q3 d Q4 should e quk Q5 s espelly

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information