Chebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations

Size: px
Start display at page:

Download "Chebyshev Polynomial Solution of Nonlinear Fredholm-Volterra Integro- Differential Equations"

Transcription

1 Çny Ünvee Fen-Edeby Füle Jounl of A nd Scence Sy : 5 y 6 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego- Dffeenl Equon Hndn ÇERDİK-YASA nd Ayşegül AKYÜZ-DAŞCIOĞU Abc In h ppe Chebyhev collocon ehod [] developed o fnd n ppoe oluon fo nonlne Fedhol-Vole nego dffeenl equon. h ehod nfo he nonlne Fedhol-Vole nego dffeenl equon no he equon wh he help of Chebyhev collocon pon. he equon coepond o ye of nonlne lgebc equon wh he unnown Chebyhev coeffcen. Fnlly oe nuecl eple e peened o llue he ccucy of he ehod. Keywod: onlne nego-dffeenl equon; Chebyhev ee; Colllocon ehod. Öze Bu çl şd lnee olyn Fedhol-Vole nego dfenyel denlelen ylş çözülen bul çn Chebyhev l yöne [] gelşlş. Bu yöne lnee olyn Fedhol-Vole nego dfenyel denlen l nol n ulln denlene dönüşüü. Bu denle e blneyen Chebyhev y l oln lnee olyn cebel denle ene ş l gel. Çl şn n onund yönen doğuluğunu göee çn bz y l önele unuluşu. Anh Kelele: nee Olyn nego-dfenyel denlele; Chebyhev ele; S l Yöne. Pule Ünvee Fen Edeby Füle e Bölüü K n l Denzl. URKEY. yegulyuz@yhoo.co 89

2 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon. IRODUCIO Conde he followng nonlne Fedhol Vole nego-dffeenl equon P y g λ F y d λ K y d unde he ed condon [ y b y c y c ] µ c whee y n unnown funcon he funcon g P F nd K e defned on nevl nd b c λ λ µ e conn. e u ee he oluon of epeed n e of Chebyhev polynol y 3 whee e unnown Chebyhev coeffcen nd choen ny pove nege uch h. ' denoe u whoe f e hlved denoe he Chebyhev polynol of he f nd of degee. he Chebyhev collocon pon defned by π co... 4 e ued n he followng econ.. FUDAEA REAIOS e u we Eq. n he fo D g λi λ J 5 whee he dffeenl p D P y Fedhol negl p 6 9

3 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU I F y d 7 nd Vole negl p J K y d 8.. Repeenon fo Dffeenl P e u ue h he h devve of he funcon 3 wh epec o h he unced Chebyhev ee epnon by y ' whee... e Chebyhev coeffcen. hen he oluon epeed by 3 nd devve cn be wen n he fo epecvely y A 9 nd y A I well nown fo [6] h he elon beween he Chebyhev coeffcen A of y nd he Chebyhev coeffcen A of y gven whee A A hen he epeon becoe y A [... ] A... 9

4 9 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon / 5/ 3/ / O fo odd nd / 3/ / O fo even Subung he Chebyhev collocon pon no Eq.6 nd ung he epeenon of D cn be gven by P D A.. Repeenon fo Fedhol Inegl P e u ubue he Chebyhev collocon pon no Eq. 7 o obn he elon of I nd ue h fo ech F nd F epnded o he Chebyhev ee n he fo f F '' whee uon ybol wh double pe denoe u wh f nd l e hlved nd Chebyhev coeffcen f e deened by en of he elon F f '' π co... hen he epeenon of F becoe

5 93 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU F F 3 whee f f f f F Bede y funcon cn be wen n he fo [5] B y 4 n whch [ ]... b b b... B nd he eleen b of he colun B con of nd - follow: fo odd fo even b When he elon 9 3 nd 4 e ubued n I we hve B Z A Z I F F 5 whee Z d [ ] z Z d z [ ] nd d fo odd fo even z

6 94 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon. 3. Peenon fo Vole Inegl P Fly he Chebyhev collocon pon e ubued no 8. Slly he pevou econ uppoed h he enel funcon K cn be epnded o unvee Chebyhev ee wh epec o. hen he fo of he enel funcon K... K 6 whee K Subung he elon 9 4 nd 6 n J he epeenon of J obned A B J Z K Z K 7 whee Z d z [ ] I Z d z [ ] I nd z d odd fo even fo fo fo 4 fo -

7 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU. 4. Repeenon fo he Condon Ung he elon he fo of he condon defned n cn be wen b c c A µ e u defne U U [ ] b c c u u... u hu he fo of condon becoe U A µ 8 3. EHOD OF SOUIO o conuc he fundenl equon coepondng o Eq. he Chebyhev collocon pon e ubued n 5 nd hen ung he elon 5 nd 7 obned fo P A g λ λ F Z A F Z B K Z A K Z B heeby he fundenl gned of he fo P λfz λkz A- λfz λk Z B G 9 whee P K n P P Kn O Kn O P Kn g Fn Z n g G Fn Fn Z n Z n fo n g F Z n n 95

8 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon h equon coepond o ye of nonlne lgebc equon wh unnown Chebyhev coeffcen. Fnlly o obn he oluon of Eq. unde he ed condon equon n nonlne lgebc ye 9 e eplced wh equon n lne lgebc equon ye 8. heefoe Chebyhev coeffcen e deened by olvng he new nonlne lgebc ye. he ehod lo cn be developed fo he poble defned on he don [] P y g λ F y d λ K y d he oluon of h equon unde he ed condon found n e of hfed Chebyhev polynol of he fo y ' whee. I followed he pevou pocedue ung he collocon pon defned by π co... nd he elon whee A 4 A... A. hen we obn he fundenl equon fo 4 λ[ ] λ PA FZA FZB [ KZA KZB] G oeove he fo of he condon becoe 4 b c c A µ 96

9 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU I ely een h Z n Z n nd Z of he popee of he Chebyhev polynol. n Z fo n becue n 5. UERICA EXPERIEAIOS he effcency of he peened ehod hown n followng hee eple. Reul wee copued ung he pog wen n hcd Pofeonl. Eple. e u conde wo eple of nonlne Fedhol- Vole nego-dffeenl equon. hee poble h been olved by ylo polynol fo 4 nd 5 epecvely n [3]. y y y g y d y d whee g nd y y b y y g y d y d whee g nd y e u e fo oluon of Eq. nd ee he oluon y unced Chebyhev ee y ' Fundenl equon of h poble defned n Secon 3 4 P P - F Z A K Z B G nd condon equon e A nd A h equon coepond o nonlne lgebc ye follow: nd condon equon e 97

10 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon 5 In ye 4 f nd econd equon e eplced by condon equon n 5 nd new lne lgebc ye obned. h ye olved ely o we hve y whch he ec oluon of Eq.. b e u conde oluon of Eq. 3 fo nd ee he oluon y unced Chebyhev ee y ' 6 he fundenl equon of h poble defned n Secon 3 4P P F Z A K Z B G nd fo condon equon A 4 4 he equon coepond o nonlne lgebc ye follow: nd condon equon 8 When he f equon he ye 7 eplced by Eq. 8 new nonlne lgebc ye obned. ng ng pon he oluon of he ye obned nd we hve 98

11 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU y o y whch he ec oluon of Eq.3. Eple. Conde he nonlne Vole nego-dffeenl equon y y d y 9 Ung he ehod n Secon 3 Eq. 9 olved fo 6. he oluon of h eple cn be found nlyclly by educng o dffeenl equon bu he nlycl oluon no epeened by he eleeny funcon. Howeve cn be epeened by hypegeoec funcon. he nuecl oluon of Eq. 9 wee gven by Sepehn-Rzzgh [4] nd by Avudnyg-Vn []. A copon of hee oluon wh he peen oluon gven n ble. ble. uecl eul of Eple Wvele-Glen ehod Wlh See ehod 6 Peened ehod 6 Ec Soluon

12 Chebyhev Polynol Soluon of onlne Fedhol-Vole Inego-Dffeenl Equon n y y n y e e y d wh he condon y y y. e u uppoe h y ppoed by Chebyhev ee 7 y ' Ung he pocedue n Secon 3 we fnd he ppoe oluon of h equon. A copon of he obned oluon wh he ec oluon he collocon pon gven n ble. ble. uecl eul of Eple 3 Peened ehod Ec oluon e COCUSIOS In h wo Chebyhev collocon ehod h ppled o nonlne negodffeenl equon. he udy h howed h olvng Fedhol p ee hn Vole p. An neeng feue of h ehod h he nlycl oluon obned fo lle hown n he Eple. oeove h ehod gve bee ppoe oluon hn he ohe ehod hown n he Eple. One of he dvnge of h ehod h oluon epeed unced Chebyhev ee hen y cn be ely evlued fo by vlue of.

13 Hndn ÇERDİK-YASA Ayşegül AKYÜZ-DAŞCIOĞU REFERECES. A. Ayüz. Seze A Chebyhev collocon ehod fo he oluon lne nego dffeenl equon J. Copu. h A. Avudnyg C. Vn Wvele-Glen ehod fo nego-dffeenl equon Appled uecl hec K. lened Y. houd ylo polynol oluon of hgh-ode nonlne Vole- Fedhol nego-dffeenl equon Appl. h. Copu B. Sepehn. Rzzgh Sngle-e Wlh ee ehod fo he Vole nego-dffeenl equon Engneeng Anly wh Boundy Eleen Seze S. Doğn Chebyhev ee oluon of Fedhol Inegl equon In. J. h. Educ. Sc. echnol Seze. Kyn Chebyhev polynol oluon of lne dffeenl equon In. h. Educ. Sc. echnol

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS

HERMITE SERIES SOLUTIONS OF LINEAR FREDHOLM INTEGRAL EQUATIONS Mhemcl nd Compuonl Applcons, Vol 6, o, pp 97-56, Assocon fo Scenfc Resech ERMITE SERIES SOLUTIOS OF LIEAR FREDOLM ITEGRAL EQUATIOS Slh Ylçınbş nd Müge Angül Depmen of Mhemcs, Fcul of Scence nd As, Cell

More information

Physics 120 Spring 2007 Exam #1 April 20, Name

Physics 120 Spring 2007 Exam #1 April 20, Name Phc 0 Spng 007 E # pl 0, 007 Ne P Mulple Choce / 0 Poble # / 0 Poble # / 0 Poble # / 0 ol / 00 In eepng wh he Unon College polc on cdec hone, ued h ou wll nehe ccep no pode unuhozed nce n he copleon o

More information

( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem

( ) ( ) ( ) ( ) ( ) ( ) j ( ) A. b) Theorem b) Theoe The u of he eco pojecon of eco n ll uull pependcul (n he ene of he cl poduc) decon equl o he eco. ( ) n e e o The pojecon conue he eco coponen of he eco. poof. n e ( ) ( ) ( ) e e e e e e e e

More information

PHY2053 Summer C 2013 Exam 1 Solutions

PHY2053 Summer C 2013 Exam 1 Solutions PHY053 Sue C 03 E Soluon. The foce G on o G G The onl cobnon h e '/ = doubln.. The peed of lh le 8fulon c 86,8 le 60 n 60n h 4h d 4d fonh.80 fulon/ fonh 3. The dnce eled fo he ene p,, 36 (75n h 45 The

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Physics 15 Second Hour Exam

Physics 15 Second Hour Exam hc 5 Second Hou e nwe e Mulle hoce / ole / ole /6 ole / ------------------------------- ol / I ee eone ole lee how ll wo n ode o ecee l ced. I ou oluon e llegle no ced wll e gen.. onde he collon o wo 7.

More information

ESS 265 Spring Quarter 2005 Kinetic Simulations

ESS 265 Spring Quarter 2005 Kinetic Simulations SS 65 Spng Quae 5 Knec Sulaon Lecue une 9 5 An aple of an lecoagnec Pacle Code A an eaple of a knec ulaon we wll ue a one denonal elecoagnec ulaon code called KMPO deeloped b Yohhau Oua and Hoh Mauoo.

More information

Size Reduction of The Transfer Matrix of. Two-Dimensional Ising and Potts Models

Size Reduction of The Transfer Matrix of. Two-Dimensional Ising and Potts Models Publhed n : In. J. Phy. Re. - Sze Reduon of The Tnfe M of To-Denonl Ing nd Po Model M. Ghe nd G. A. Pf - Ao Enegy Ognzon of In Depuy n Nule Fuel Poduon. Tehn IRAN -Chey Depen Tehe Tnng Unvey Tehn In El:

More information

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse

More information

Supporting information How to concatenate the local attractors of subnetworks in the HPFP

Supporting information How to concatenate the local attractors of subnetworks in the HPFP n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced

More information

Addition & Subtraction of Polynomials

Addition & Subtraction of Polynomials Addiion & Sucion of Polynomil Addiion of Polynomil: Adding wo o moe olynomil i imly me of dding like em. The following ocedue hould e ued o dd olynomil 1. Remove enhee if hee e enhee. Add imil em. Wie

More information

CHAPTER 5 SPEED CONTROLLER BY SYMMETRIC OPTIMUM APPROXIMATION METHOD

CHAPTER 5 SPEED CONTROLLER BY SYMMETRIC OPTIMUM APPROXIMATION METHOD 8 CAPER 5 SPEED CONROLLER BY SYMMERIC OPIMUM APPROXIMAION MEOD 5. INRODUCION In ode o ex he be pefone fo gven elel hne, he pope degn of he peed nd uen onolle pon. oweve ll dve e pee enve o oe degee. donl

More information

EE 410/510: Electromechanical Systems Chapter 3

EE 410/510: Electromechanical Systems Chapter 3 EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All

More information

Heat conduction in a composite sphere - the effect of fractional derivative order on temperature distribution

Heat conduction in a composite sphere - the effect of fractional derivative order on temperature distribution MATEC We of Confeence 57, 88 (8) MMS 7 hp://do.og/.5/mecconf/85788 He conducon n compoe phee - he effec of fconl devve ode on empeue duon Uzul Sedlec,*, Snłw Kul Inue of Mhemc, Czeochow Unvey of Technology,

More information

Introduction. Section 9: HIGHER ORDER TWO DIMENSIONAL SHAPE FUNCTIONS

Introduction. Section 9: HIGHER ORDER TWO DIMENSIONAL SHAPE FUNCTIONS Secon 9: HIGHER ORDER TWO DIMESIO SHPE FUCTIOS Inroducon We ne conder hpe funcon for hgher order eleen. To do h n n orderl fhon we nroduce he concep of re coordne. Conder ere of rngulr eleen depced n he

More information

Some algorthim for solving system of linear volterra integral equation of second kind by using MATLAB 7 ALAN JALAL ABD ALKADER

Some algorthim for solving system of linear volterra integral equation of second kind by using MATLAB 7 ALAN JALAL ABD ALKADER . Soe lgoi o solving syse o line vole inegl eqion o second ind by sing MATLAB 7 ALAN JALAL ABD ALKADER College o Edcion / Al- Msnsiiy Univesiy Depen o Meics تقديم البحث :-//7 قبول النشر:- //. Absc ( /

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

1.B Appendix to Chapter 1

1.B Appendix to Chapter 1 Secon.B.B Append o Chper.B. The Ordnr Clcl Here re led ome mporn concep rom he ordnr clcl. The Dervve Conder ncon o one ndependen vrble. The dervve o dened b d d lm lm.b. where he ncremen n de o n ncremen

More information

The Boltzmann transport equation and the diffusion equation

The Boltzmann transport equation and the diffusion equation The Bonn npo eon n he on eon Sego Fnn gop Depen o Boec Engneeng T ne oeng gh popgon n ceng e wh npo heo The Bonn npo eon BTE bnce eonhp h ecbe he ow o pce n ceng n bobng e. The popgon o gh n opc b e cn

More information

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels nvenon Jounl o Reseh Tehnoloy n nneen & Mnemen JRTM SSN: 455-689 wwwjemom Volume ssue 0 ǁ Ooe 08 ǁ PP 9-45 Cuo uons n he me o onl oeos wh M-ele enels on Qn Chenmn Hou* Ynn Unvesy Jln Ynj 00 ASTRACT: n

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

Physics 110. Spring Exam #1. April 23, 2008

Physics 110. Spring Exam #1. April 23, 2008 hyc Spng 8 E # pl 3, 8 Ne Soluon Mulple Choce / oble # / 8 oble # / oble #3 / 8 ol / In keepng wh he Unon College polcy on cdec honey, ued h you wll nehe ccep no pode unuhozed nce n he copleon o h wok.

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681

Review: Transformations. Transformations - Viewing. Transformations - Modeling. world CAMERA OBJECT WORLD CSE 681 CSE 681 CSE 681 CSE 681 Revew: Trnsforons Trnsforons Modelng rnsforons buld cople odels b posonng (rnsforng sple coponens relve o ech oher ewng rnsforons plcng vrul cer n he world rnsforon fro world coordnes o cer coordnes Perspecve

More information

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2 Impope Inegls To his poin we hve only consideed inegls f() wih he is of inegion nd b finie nd he inegnd f() bounded (nd in fc coninuous ecep possibly fo finiely mny jump disconinuiies) An inegl hving eihe

More information

H = d d q 1 d d q N d d p 1 d d p N exp

H = d d q 1 d d q N d d p 1 d d p N exp 8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d

More information

On Fractional Operational Calculus pertaining to the product of H- functions

On Fractional Operational Calculus pertaining to the product of H- functions nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom

More information

Normal Random Variable and its discriminant functions

Normal Random Variable and its discriminant functions Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The

More information

ELEC 201 Electric Circuit Analysis I Lecture 9(a) RLC Circuits: Introduction

ELEC 201 Electric Circuit Analysis I Lecture 9(a) RLC Circuits: Introduction //6 All le courey of Dr. Gregory J. Mazzaro EE Elecrc rcu Analy I ecure 9(a) rcu: Inroucon THE ITADE, THE MIITAY OEGE OF SOUTH AOINA 7 Moulre Sree, harleon, S 949 V Sere rcu: Analog Dcoery _ 5 Ω pf eq

More information

Introduction. Voice Coil Motors. Introduction - Voice Coil Velocimeter Electromechanical Systems. F = Bli

Introduction. Voice Coil Motors. Introduction - Voice Coil Velocimeter Electromechanical Systems. F = Bli UNIVERSITY O TECHNOLOGY, SYDNEY ACULTY O ENGINEERING 4853 Elecroechncl Syses Voce Col Moors Topcs o cover:.. Mnec Crcus 3. EM n Voce Col 4. orce n Torque 5. Mhecl Moel 6. Perornce Voce cols re wely use

More information

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

Available online Journal of Scientific and Engineering Research, 2017, 4(2): Research Article

Available online   Journal of Scientific and Engineering Research, 2017, 4(2): Research Article Avlble onlne www.jse.com Jonl of Scenfc nd Engneeng Resech, 7, 4():5- Resech Acle SSN: 394-63 CODEN(USA): JSERBR Exc Solons of Qselsc Poblems of Lne Theoy of Vscoelscy nd Nonlne Theoy Vscoelscy fo echnclly

More information

Primal and Weakly Primal Sub Semi Modules

Primal and Weakly Primal Sub Semi Modules Aein Inenionl Jounl of Conepoy eeh Vol 4 No ; Jnuy 204 Pil nd Wekly Pil ub ei odule lik Bineh ub l hei Depen Jodn Univeiy of iene nd Tehnology Ibid 220 Jodn Ab Le be ouive eiing wih ideniy nd n -ei odule

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

E-Companion: Mathematical Proofs

E-Companion: Mathematical Proofs E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

MODEL SOLUTIONS TO IIT JEE ADVANCED 2014

MODEL SOLUTIONS TO IIT JEE ADVANCED 2014 MODEL SOLUTIONS TO IIT JEE ADVANCED Pper II Code PART I 6 7 8 9 B A A C D B D C C B 6 C B D D C A 7 8 9 C A B D. Rhc(Z ). Cu M. ZM Secon I K Z 8 Cu hc W mu hc 8 W + KE hc W + KE W + KE W + KE W + KE (KE

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs)

Numerical Study of Large-area Anti-Resonant Reflecting Optical Waveguide (ARROW) Vertical-Cavity Semiconductor Optical Amplifiers (VCSOAs) USOD 005 uecal Sudy of Lage-aea An-Reonan Reflecng Opcal Wavegude (ARROW Vecal-Cavy Seconduco Opcal Aplfe (VCSOA anhu Chen Su Fung Yu School of Eleccal and Eleconc Engneeng Conen Inoducon Vecal Cavy Seconduco

More information

Lecture 9-3/8/10-14 Spatial Description and Transformation

Lecture 9-3/8/10-14 Spatial Description and Transformation Letue 9-8- tl Deton nd nfomton Homewo No. Due 9. Fme ngement onl. Do not lulte...8..7.8 Otonl et edt hot oof tht = - Homewo No. egned due 9 tud eton.-.. olve oblem:.....7.8. ee lde 6 7. e Mtlb on. f oble.

More information

v v at 1 2 d vit at v v 2a d

v v at 1 2 d vit at v v 2a d SPH3UW Unt. Accelerton n One Denon Pge o 9 Note Phyc Inventory Accelerton the rte o chnge o velocty. Averge ccelerton, ve the chnge n velocty dvded by the te ntervl, v v v ve. t t v dv Intntneou ccelerton

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd,

International Mathematical Forum, Vol. 9, 2014, no. 13, HIKARI Ltd, Ieol Mhemcl oum Vol. 9 4 o. 3 65-6 HIKARI Ld www.m-h.com hp//d.do.o/.988/m.4.43 Some Recuece Relo ewee he Sle Doule d Tple Mome o Ode Sc om Iveed mm Duo d hceo S. M. Ame * ollee o Scece d Hume Quwh Shq

More information

An analytical solution versus half space BEM formulation for acoustic radiation and scattering from a rigid sphere

An analytical solution versus half space BEM formulation for acoustic radiation and scattering from a rigid sphere Journl of Phyc: Conference Sere PAPER OPEN ACCESS An nlycl oluon veru hlf pce forulon for couc rdon nd cerng fro rgd phere To ce h rcle: B. Soenrko nd D. Sedkrun 06 J. Phy.: Conf. Ser. 776 0065 Reled conen

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

More information

Content 5.1 Angular displacement and angular velocity 5.2 Centripetal acceleration 5.3 Centripetal force. 5. Circular motion.

Content 5.1 Angular displacement and angular velocity 5.2 Centripetal acceleration 5.3 Centripetal force. 5. Circular motion. 5. Cicula otion By Liew Sau oh Content 5.1 Angula diplaceent and angula elocity 5. Centipetal acceleation 5.3 Centipetal foce Objectie a) expe angula diplaceent in adian b) define angula elocity and peiod

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

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

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

More information

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou

A multi-band approach to arterial traffic signal optimization. Nathan H. Gartner Susan F. Assmann Fernando Lasaga Dennin L. Hou A mul-an appoach o aeal affc sgnal opmzaon Nahan H. Gane Susan F. Assmann Fenano Lasaga Dennn L. Hou MILP- The asc, symmec, unfom-h anh maxmzaon polem MILP- Exens he asc polem o nclue asymmec anhs n opposng

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

INTERHARMONICS ANALYSIS OF A 7.5KW AIR COMPRESSOR MOTOR

INTERHARMONICS ANALYSIS OF A 7.5KW AIR COMPRESSOR MOTOR INTERHRMONIS NYSIS OF 7.5KW IR OMPRESSOR MOTOR M Zhyun Mo Wen Xong un e Xu Zhong Elecc Powe Te Elecc Powe Te Elecc Powe Te Elecc Powe Te & Reech Inue & Reech Inue & Reech Inue & Reech Inue of Gungzhou

More information

Second Order Fuzzy S-Hausdorff Spaces

Second Order Fuzzy S-Hausdorff Spaces Inten J Fuzzy Mathematical Achive Vol 1, 013, 41-48 ISSN: 30-34 (P), 30-350 (online) Publihed on 9 Febuay 013 wwweeachmathciog Intenational Jounal o Second Ode Fuzzy S-Haudo Space AKalaichelvi Depatment

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

Comparing and Expanding SDA and INA Techniques Applied to Physical Flows in the Economy

Comparing and Expanding SDA and INA Techniques Applied to Physical Flows in the Economy Copng nd Epndng S nd IN Technque ppled o Phcl Flo n he Econo b Ruge Hoek nd Jeoen vn den Begh epen of Spl Econoc Fcul of Econoc nd Econoec Fee Unve e Boeleln 05 08 HV ed The Nehelnd hoek@econ.vu.nl, begh@econ.vu.nl

More information

MATRIX COMPUTATIONS ON PROJECTIVE MODULES USING NONCOMMUTATIVE GRÖBNER BASES

MATRIX COMPUTATIONS ON PROJECTIVE MODULES USING NONCOMMUTATIVE GRÖBNER BASES Jounal of lgeba Numbe heo: dance and pplcaon Volume 5 Numbe 6 Page -9 alable a hp://cenfcadance.co.n DOI: hp://d.do.og/.86/janaa_7686 MRIX COMPUIONS ON PROJCIV MODULS USING NONCOMMUIV GRÖBNR BSS CLUDI

More information

Memorandum COSOR 97-??, 1997, Eindhoven University of Technology

Memorandum COSOR 97-??, 1997, Eindhoven University of Technology Meoandu COSOR 97-??, 1997, Endhoven Unvey of Technology The pobably geneang funcon of he Feund-Ana-Badley ac M.A. van de Wel 1 Depaen of Maheac and Copung Scence, Endhoven Unvey of Technology, Endhoven,

More information

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

More information

NONLOCAL BOUNDARY VALUE PROBLEM FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IMPULSIVE q k INTEGRODIFFERENCE EQUATION

NONLOCAL BOUNDARY VALUE PROBLEM FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IMPULSIVE q k INTEGRODIFFERENCE EQUATION Euroean Journal of ahemac an Comuer Scence Vol No 7 ISSN 59-995 NONLOCAL BOUNDARY VALUE PROBLE FOR SECOND ORDER ANTI-PERIODIC NONLINEAR IPULSIVE - INTEGRODIFFERENCE EQUATION Hao Wang Yuhang Zhang ngyang

More information

THE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS

THE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS Europen Journl of Mhemcs nd Compuer Scence Vol 4 No, 7 SSN 59-995 THE EXSTENCE OF SOLUTONS FOR A CLASS OF MPULSVE FRACTONAL Q-DFFERENCE EQUATONS Shuyun Wn, Yu Tng, Q GE Deprmen of Mhemcs, Ynbn Unversy,

More information

Chapter 6. Isoparametric Formulation

Chapter 6. Isoparametric Formulation ME 78 FIIE ELEME MEHOD Chper. Ioprerc Forlon Se fncon h ed o defne he eleen geoer ed o defne he dplceen whn he eleen ode r Eleen Lner geoer Lner dplceen ode Be Eleen Qdrc geoer Qdrc dplceen We gn he e

More information

3D Motion Estimation and Texturing of Human Head Model

3D Motion Estimation and Texturing of Human Head Model 6 J. IHALÍK, V. ICHALČIN, D OION ESIAION AND EXUING OF HUAN HEAD ODEL D oon Emon n eung o Humn He oel Ján IHALÍK, Vo ICHALČIN Lb. o Dgl Imge Poceng n Veocommuncon, Dep. o Eleconc n ulme elecommuncon, P

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

Homework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006

Homework 5 for BST 631: Statistical Theory I Solutions, 09/21/2006 Homewok 5 fo BST 63: Sisicl Theoy I Soluions, 9//6 Due Time: 5:PM Thusy, on 9/8/6. Polem ( oins). Book olem.8. Soluion: E = x f ( x) = ( x) f ( x) + ( x ) f ( x) = xf ( x) + xf ( x) + f ( x) f ( x) Accoing

More information

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

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

EXACT SOLUTIONS FOR NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS BY USING THE EXTENDED MULTIPLE RICCATI EQUATIONS EXPANSION METHOD

EXACT SOLUTIONS FOR NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS BY USING THE EXTENDED MULTIPLE RICCATI EQUATIONS EXPANSION METHOD IJRRAS 9 () Deceme www.ess.com/volmes/vol9isse/ijrras_9.f EXACT SOUTIONS FOR NONINEAR PARTIA DIFFERENTIA EQUATIONS BY USING THE EXTENDED MUTIPE RICCATI EQUATIONS EXPANSION METHOD Mmo M. El-Bo Aff A. Zgo

More information

CHAPTER II AC POWER CALCULATIONS

CHAPTER II AC POWER CALCULATIONS CHAE AC OWE CACUAON Conens nroducon nsananeous and Aerage ower Effece or M alue Apparen ower Coplex ower Conseraon of AC ower ower Facor and ower Facor Correcon Maxu Aerage ower ransfer Applcaons 3 nroducon

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

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

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

More information

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series

Degree of Approximation of a Class of Function by (C, 1) (E, q) Means of Fourier Series IAENG Inenaional Jounal of Applied Mahemaic, 4:, IJAM_4 7 Degee of Appoximaion of a Cla of Funcion by C, E, q Mean of Fouie Seie Hae Kihna Nigam and Kuum Shama Abac In hi pape, fo he fi ime, we inoduce

More information

Integral Solutions of Non-Homogeneous Biquadratic Equation With Four Unknowns

Integral Solutions of Non-Homogeneous Biquadratic Equation With Four Unknowns Ieol Jol o Compol Eee Reech Vol Ie Iel Solo o No-Homoeeo qdc Eqo Wh Fo Uo M..Gopl G.Smh S.Vdhlhm. oeo o Mhemc SIGCTch. Lece o Mhemc SIGCTch. oeo o Mhemc SIGCTch c The o-homoeeo qdc eqo h o o epeeed he

More information

Chapter 4: Motion in Two Dimensions Part-1

Chapter 4: Motion in Two Dimensions Part-1 Lecue 4: Moon n Two Dmensons Chpe 4: Moon n Two Dmensons P- In hs lesson we wll dscuss moon n wo dmensons. In wo dmensons, s necess o use eco noon o descbe phscl qunes wh boh mnude nd decon. In hs chpe,

More information

ASTR 3740 Relativity & Cosmology Spring Answers to Problem Set 4.

ASTR 3740 Relativity & Cosmology Spring Answers to Problem Set 4. ASTR 3740 Relativity & Comology Sping 019. Anwe to Poblem Set 4. 1. Tajectoie of paticle in the Schwazchild geomety The equation of motion fo a maive paticle feely falling in the Schwazchild geomety ae

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

6.6 The Marquardt Algorithm

6.6 The Marquardt Algorithm 6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

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

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review

Section P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review Secion P Noe Pge Secion P Preclculu nd Trigonomer Review ALGEBRA AND PRECALCULUS Eponen Lw: Emple: 8 Emple: Emple: Emple: b b Emple: 9 EXAMPLE: Simplif: nd wrie wi poiive eponen Fir I will flip e frcion

More information

Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device

Pen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device for Cuomed Ahmen of Hp Deve Mno KOEDA nd Mhko KAO Deprmen of Compuer Sene Ful of Informon Sene nd Ar Ok Elero-Communon Unver Kok 30-70, Shjonwe, Ok, 575-0063, JAPA {koed, 0809@oeu.jp} Ar In h pper, mehod

More information

Quick Visit to Bernoulli Land

Quick Visit to Bernoulli Land Although we have een the Bernoull equaton and een t derved before, th next note how t dervaton for an uncopreble & nvcd flow. The dervaton follow that of Kuethe &Chow ot cloely (I lke t better than Anderon).

More information

Calculation of Thermal Neutron Flux in Two. Dimensional Structures with Periodic Moderators

Calculation of Thermal Neutron Flux in Two. Dimensional Structures with Periodic Moderators Apple Mhemcl Scences Vol. 8 no. 9 99-98 Clculon of Theml Neuon Flu n Two mensonl Sucues wh Peoc Moeos S. N. Hossenmolgh S. A. Agh L. Monzen S. Bsn In Unvesy of Scence n Technology Tehn In epmen of Nucle

More information

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:

More information

On Almost Increasing Sequences For Generalized Absolute Summability

On Almost Increasing Sequences For Generalized Absolute Summability Joul of Applied Mthetic & Bioifotic, ol., o., 0, 43-50 ISSN: 79-660 (pit), 79-6939 (olie) Itetiol Scietific Pe, 0 O Alot Iceig Sequece Fo Geelized Abolute Subility W.. Suli Abtct A geel eult coceig bolute

More information

Torque generation with Electrical Machines. Industrial Electrical Engineering and Automation Lund University, Sweden

Torque generation with Electrical Machines. Industrial Electrical Engineering and Automation Lund University, Sweden Toqe geneton wth Electcl Mchne Indtl Electcl Engneeng nd Atoton nd Unvet, Sweden Toqe genetng phenoen Indtl Electcl Engneeng nd Atoton Condcto n gnetc feld Ion hpe n gnetc feld 3 Electottc 4 Pezotcton

More information

Introduction to Inertial Dynamics

Introduction to Inertial Dynamics nouon o nl Dn Rz S Jon Hokn Unv Lu no on uon of oon of ul-jon oo o onl W n? A on of o fo ng on ul n oon of. ou n El: A ll of l off goun. fo ng on ll fo of gv: f-g g9.8 /. f o ll, n : f g / f g 9.8.9 El:

More information

Pythagorean triples. Leen Noordzij.

Pythagorean triples. Leen Noordzij. Pythagorean trple. Leen Noordz Dr.l.noordz@leennoordz.nl www.leennoordz.me Content A Roadmap for generatng Pythagorean Trple.... Pythagorean Trple.... 3 Dcuon Concluon.... 5 A Roadmap for generatng Pythagorean

More information