EXTINCTION COEFFICIENT USED AS PARAMETER IN GAMMA-RAY DOSIMETRY

Size: px
Start display at page:

Download "EXTINCTION COEFFICIENT USED AS PARAMETER IN GAMMA-RAY DOSIMETRY"

Transcription

1 EXTINCTION COEFFICIENT USE AS PARAMETER IN GAMMA-RAY OSIMETRY C. POSTOLACHE Hor Hulue Ntonl Insttute for Nucler Physcs nd Engneerng, P.O. Box MG-6, RO Buchrest-Mgurele, Romn E-ml: Receved July 17, 017 Astrct. In ths pper, the vrton of the extncton coeffcent s result of the exposure to gmm-ry ws studed. The mterl used n ths study ws BK-7 type glss. Severl smples were exposed to gmm-ry Co-60 n order to otn dfferent sored dose vlues. By usng photo-spectrometrc mesurements, dfferent extncton coeffcent vlues s functon of the sored dose, were otned. The results showed tht the dependence of the extncton coeffcent to the sored dose presents lner regons, whch me t quntty tht cn e used n gmm-ry dosmetry. Key words: extncton coeffcent, gmm-ry dosmetry, sored dose. 1. INTROUCTION The mn optcl phenomen producng when lght reches mterl re trnsmsson, reflecton nd sorpton [1 4]. By mesurng these three prmeters usng photo-spectrometrc technques, quntfcton of other mportnt secondry optcl prmeters cn e otned [5]. It ws demonstrted tht the propgton speed nd the other chrcterstcs of the electrc feld crred y n electromgnetc feld depend to the propertes of the pssng thru mterls [6 9]. In ths pper, the vrton of the extncton coeffcent s result of the exposure to gmm-ry ws studed, strtng from hgh qulty photo-spectrometrc mesurements [10 14]. The extncton coeffcent s n optcl prmeter whch mesures the sorpton of lght n medum nd t s represented y the mgnry prt of the complex ndex of refrcton. When the lght s pssng thru medum, some prt of t s ttenuted, fct tht cn e expressed y defnng complex refrctve ndex, Equton 1: n n 1 Romnn Journl of Physcs 6,

2 Artcle no. 905 C. Postolche In Equton 1 the rel prt n s the refrctve ndex nd ndctes the phse velocty, whle the mgnry prt s clled the extncton coeffcent nd ndctes the mount of ttenuton when the electromgnetc wve propgtes through the mterl [1]. The phse velocty of wve s the rte t whch the phse of the wve propgtes n spce. Both n nd re dependent on the frequency. In most cses > 0 lght s sored or = 0 lght trvels wthout loss. In some specl cses, especlly n the gn medum of lsers, t s lso possle tht < 0, due to n mplfcton of the lght. The rel nd mgnry prts of the complex refrctve ndex re connected through the Krmers Krong equtons [15 0]. The mterl used n ths study ws BK-7 type glss, severl smples eng exposed to gmm-ry n order to otn dfferent sored dose vlues. fferent extncton coeffcent vlues, s functon of the sored dose, were determned. The results showed tht the dependence of the extncton coeffcent to the sored dose presents lner regons, whch me the extncton coeffcent quntty tht cn e used n gmm-ry dosmetry [1, ].. MATERIALS AN METHOS A numer of ten BK-7 type glss smples of 10 mm thcness were exposed to Co-60 gmm-ry source men energy of 1.5 MeV, nsde n rrdton chmer, n order to otn dfferent sored dose vlues Fg. 1. Fg. 1 Asored doses n the exposed smples.

3 3 Extncton coeffcent used s prmeter n gmm-ry dosmetry Artcle no. 905 A constnt dose det of 6. Gy/h ws used. The otned doses vlues were plced etween 0.04 Gy nd 1.0 Gy. For the mesurements of sored doses, n ECB ethnol-chloroenzene dosmeter system wth n verge mesurement uncertnty of.5 % for coverge fctor = ws used. After the exposure of the smples, hgh qulty photo-spectrometrc mesurements were performed [3 7]. 3. RESULTS AN ISCUSSIONS The vrton of trnsmtted lght ntensty thru the rrdted glss smples s functon of the sored dose s shown n Fg.. As t cn e seen, the trnsmtted lght ntensty s decresng wth the ncrese of the sored vlue. The fct tht trnsmtted lght ntensty s decresng wth the ncrese of the wvelength cn e lso seen, due to the fct tht hgher wvelength mens lower frequency. A lower frequency mens lower energy trnsported y the nvolved electromgnetc wve, whch leds to hgher sorpton when trvelng thru volume of mterl. Fg. Trnsmtted lght ntensty I tr. s functon of sored dose.

4 Artcle no. 905 C. Postolche 4 : Extncton coeffcent vlues were determned usng the followng Equton I ln 4 x I 0 tr., where: λ used wvelength; I tr. trnsmtted lght ntensty thru exposed glss smples for the specfc λ wvelength; I 0 ntl ntensty of the lght source; x smple thcness 10 mm. The nlytcl expresson of the vrton of extncton coeffcent s functon of the sored dose hs the followng form 3:, 3 4 where: λ used wvelength; the extncton coeffcent for n sored dose vlue, for the specfc λ wvelength; sorpton coeffcent for n sored dose vlue, for the specfc λ wvelength. The sorpton coeffcent ws determned usng Equton 4: 1 I 0 ln, 4 x I tr. where: λ used wvelength; I tr. trnsmtted lght ntensty thru exposed glss smples for the specfc λ wvelength; I 0 ntl ntensty of the lght source; x smple thcness 10 mm. The vrton of the extncton coeffcent s functon of the sored dose s presented n Fg. 3. An ncrese of the extncton coeffcent vlue wth the ncrese of the sored dose nd wth the decrese of wvelength cn e seen. In Fg. 3 t cn lso e seen tht the slope of the dependence etween the extncton coeffcent nd the sored dose, showng the speed of chnge, s decresng wth the ncrese of the wvelength, menng tht y usng lower wvelength, the senstvty of the method s ncresng [8, 9].

5 5 Extncton coeffcent used s prmeter n gmm-ry dosmetry Artcle no. 905 Fg. 3 The extncton coeffcent s functon of sored dose. Snce the dependence of the extncton coeffcent to the sored dose s lner on certn sored dose ntervls [ ] Gy, s t cn e seen n Fg. 3, t cn e used successfully s prmeter n gmm-ry dosmetry. The expresson of the dependence etween the extncton coeffcent nd the sored dose s otned y fttng the expermentl dt, ts generl form eng presented n Equton 5: log, 5 where: extncton coeffcent for n sored dose vlue, for the specfc λ wvelength; ndex 1,, 3 correspondng to used wvelength 475 nm, 490 nm, 530 nm. The generl form of the Error Propgton Lw [30 3] ppled to Equton 5 s presented n Equton 6, s follows:

6 Artcle no. 905 C. Postolche 6. 6 The generl form of the Error Propgton Lw ppled to Equton s presented n Equton 7, s follows:.3 log. 7 By nlytcl clculus, the Equton ecomes Equton 8, s follows: The Equton 8 s prctclly the generl form of the dependence of the sored dose vlue to the vlue of the extncton coeffcent. By usng ths expresson, n unnown sored dose vlue cn e determned, only y determnng ts correspondng extncton coeffcent vlue. The generl form of the Error Propgton Lw ppled to Equton 8 s presented n Equton 9, s follows:. 9 The concrete form of the Error Propgton Lw ppled to Equton 8 s gven y the Equton 10, s follows: log All the qunttes from Equton 10 re nown, Tle 1. The Equton 10 represents prctclly the uncertnty ssocted to the method presented n ths pper. By fttng the extncton coeffcent s functon of the sored dose vlue, the clrton curves were otned, s t cn e seen n Tle. By usng them, n unnown sored dose vlue cn e determned.

7 7 Extncton coeffcent used s prmeter n gmm-ry dosmetry Artcle no. 905 The sored dose rnge [Gy] Tle 1 The fttng prmeters nd ther ssocted uncertntes Wvelength [nm] Fttng prmeters σ σ * * * Tle Asored dose vlue s functon of extncton coeffcent for 475 nm, 490 nm nd 530 nm wvelengths Asored dose vlue [Gy] ependng of wht wvelength s used for determnng the extncton coeffcents, one of the three clrton curves from Tle cn e used s follows: the frst one s vld when 475 nm lght source s used, the second one when 490 nm lght source s used nd the thrd one when 530 nm wvelength s used. All three clrton curves from Tle re vld only on dose rnge etween 0.16 Gy nd 1.0 Gy. 4. CONCLUSIONS As t ws shown n ths pper, the exposure of optcl glss to gmm-ry leds to modfctons of ts prmeters, such s ts extncton coeffcent. The vlues of the extncton coeffcent were determned for ten BK-7 glsses exposed to gmm-ry, y usng photo-spectrometrc mesurements. As t ws shown, the extncton coeffcent cn e used s dosmetry prmeter, snce ts dependence to the ncrese of the sored dose s lner on certn ntervls.

8 Artcle no. 905 C. Postolche 8 It ws shown tht the slope of the dependence etween the extncton coeffcent nd the sored dose s decresng wth the ncrese of the wvelength, menng tht y usng lower wvelength, the senstvty of the method s ncresng. The nlytcl expresson of the vrton of extncton coeffcent s functon of the sored dose ws otned. The expressons otned for the dependence of extncton coeffcent to the sored dose represent the clrton curves, vld on dose rnge etween 0.16 Gy nd 1.0 Gy. By usng them, n unnown sored dose vlue cn e determned. The useful doses rnge cn e extended y usng dfferent types of glss, dfferent smples thcnesses nd dfferent wvelengths. Usng the uncertntes propgton lw, the uncertnty ssocted to the method ws determned. Acnowledgements. Ths wor ws supported y the Project ELI-RO 13/016 from Mnstry of Reserch nd Innovton of Romn. REFERENCES 1. E. Hecht, Optcs, 4 th Edton, Edtor Person Addson-Wesley, Sprng, Austn, G. I. Kozn, Physcs Proced 73, , do: /j.phpro P. Hrhrn nd P. Hrhrn, Bscs of Interferometry Monochromtc Lght Wves, nd Edton, Sydney, 007, do: /B / M.-R. Ion, I. Gru, P. Ion, M. Bclum, G-V. Ion nd C. Gvrl, J. Optoelectron. Adv. M , M. R. Ion, I. Gru, G. V. Ion, L. Rusen nd P. Ion, J. Optoelectron. Adv. M. 16 1, X. Fu, L. Song nd J. L, Journl of Rre Erths 3 11, , do: /s X. Fu, L. Song nd J. L, Nucl. Instrum. Meth B. 330, , do: / j.nm J. u, J. Wu, L. Zho nd L. Song, Rd. Phys. Chem. 86, , do: /j.rdphyschem K. Kdono, N. Itur, T. A, M. Ymsht nd T. Yzw, Nucl. Instrum. Meth B , , do: /j.nm M-R. Ion, Rom. J. Phys , M-R. Ion, Opt. Commun. 369, , do: /j.optcom M-R. Ion, Rom. J. Phys , M-R. Ion, Rom. J. Phys , M-R. Ion, Rom. J. Phys , L.X. M, J.Y. Tn, J.M. Zho, F.Q. Wng, C.A. Wng nd Y.Y. Wng, J. Qunt. Spectrosc. Rdt. Trnsfer. 196, , do: /j.jqsrt W.A. Rmdn, H.H. Wh nd M.A. Shms El-n, Opt Fer Technol 36, , do: /j.yofte

9 9 Extncton coeffcent used s prmeter n gmm-ry dosmetry Artcle no El-Syed Y. El-Zt nd Gml M. Youssef, Opt Lser Technol 65, , do: /j.optlstec S.Y. El-Zt, Opt 14, , do: /j.jleo A. Kondls, E. Aperthts nd M. Modrenu, Thn Sold Flms 516, , do: /j.tsf S.P. Svds nd N.A. Stthopoulos, Opt. Commun. 60, , do: /j.optcom M-R. Ion, Nucl. Instrum. Meth. B. 377, , do: /j.nm M.-R. Ion, J. Instrum. 11, P , do: / /11/08/p M. R. Ion, I. Gru, G. V. Ion, L. Rusen, C.. Negut, P. Ion, Rom. Rep. Phys. 67, S. Y. Mrzou nd M. A. Azooz, Slcon 4, , do: /s z. 5. A. Ohwofosr, M.. Ferm, N. A. Ngoz, T. O. Joseph, R. U. Osuj nd B. A. Ezeoye, Amercn Chemcl Scence Journl 4 6, A. R. Blu, V. S. Ngrthnm, M. Sugny, N. Arunumr, G. Selvn, Journl of Electron evces 1, I. Frrnce nd R. Frenel, Cln. Bochem. Rev. 33, L. one nd M-R. Ion, Appl. Rd. Isot. 114, , do: /j.prdso E. Grcí-Torno, V. Peyres, B. Cro, M. Rotet,. Arnold, O. Burd, M-R. Ion nd P. e Felce, J. Rdonl. Nucl. Chem , , do /s G. E. P. Box, W. G. Hunter nd J. S. Hunter, Sttstcs for expermenters, John Wley, New Yor, C. F. etrch, Uncertnty, clrton nd prolty, nd Edton, Adm-Hlger, Brstol, JCGM 100:008, Evluton of mesurement dt Gude to the expresson of uncertnty n mesurement, BIPM, Frnce, 008,

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Investigation phase in case of Bragg coupling

Investigation phase in case of Bragg coupling Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

Chemical Reaction Engineering

Chemical Reaction Engineering Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F 0 E 0 F E Q W

More information

The Study of Lawson Criterion in Fusion Systems for the

The Study of Lawson Criterion in Fusion Systems for the Interntonl Archve of Appled Scences nd Technology Int. Arch. App. Sc. Technol; Vol 6 [] Mrch : -6 Socety of ducton, Ind [ISO9: 8 ertfed Orgnzton] www.soeg.co/st.html OD: IAASA IAAST OLI ISS - 6 PRIT ISS

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

Chemical Reaction Engineering

Chemical Reaction Engineering Lecture 20 hemcl Recton Engneerng (RE) s the feld tht studes the rtes nd mechnsms of chemcl rectons nd the desgn of the rectors n whch they tke plce. Lst Lecture Energy Blnce Fundmentls F E F E + Q! 0

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

Evaluation of Liquefaction Return Period for Bangalore Based on Standard Penetration Test Data: Performance Based Approach

Evaluation of Liquefaction Return Period for Bangalore Based on Standard Penetration Test Data: Performance Based Approach Amercn J. of Engneerng nd Appled Scences 2 (3): 537-543, 2009 ISSN 1941-7020 2009 Scence Publctons Evluton of Lquefcton Return Perod for Bnglore Bsed on Stndrd Penetrton Test Dt: Performnce Bsed Approch

More information

An Ising model on 2-D image

An Ising model on 2-D image School o Coputer Scence Approte Inerence: Loopy Bele Propgton nd vrnts Prolstc Grphcl Models 0-708 Lecture 4, ov 7, 007 Receptor A Knse C Gene G Receptor B Knse D Knse E 3 4 5 TF F 6 Gene H 7 8 Hetunndn

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN

More information

Lesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)

Lesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER) Lesson 2 Thermomechncl Mesurements for Energy Systems (MEN) Mesurements for Mechncl Systems nd Producton (MME) 1 A.Y. 2015-16 Zccr (no ) Del Prete A U The property A s clled: «mesurnd» the reference property

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

A Family of Multivariate Abel Series Distributions. of Order k

A Family of Multivariate Abel Series Distributions. of Order k Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind

More information

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.

Engineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais. ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn

More information

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order

Research Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons

More information

INTERPOLATION(1) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek

INTERPOLATION(1) ELM1222 Numerical Analysis. ELM1222 Numerical Analysis Dr Muharrem Mercimek ELM Numercl Anlss Dr Muhrrem Mercmek INTEPOLATION ELM Numercl Anlss Some of the contents re dopted from Lurene V. Fusett, Appled Numercl Anlss usng MATLAB. Prentce Hll Inc., 999 ELM Numercl Anlss Dr Muhrrem

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting

CISE 301: Numerical Methods Lecture 5, Topic 4 Least Squares, Curve Fitting CISE 3: umercl Methods Lecture 5 Topc 4 Lest Squres Curve Fttng Dr. Amr Khouh Term Red Chpter 7 of the tetoo c Khouh CISE3_Topc4_Lest Squre Motvton Gven set of epermentl dt 3 5. 5.9 6.3 The reltonshp etween

More information

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p*

523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p* R. Smpth Kumr, R. Kruthk, R. Rdhkrshnn / Interntonl Journl of Engneerng Reserch nd Applctons (IJERA) ISSN: 48-96 www.jer.com Vol., Issue 4, July-August 0, pp.5-58 Constructon Of Mxed Smplng Plns Indexed

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

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

Linear and Nonlinear Optimization

Linear and Nonlinear Optimization Lner nd Nonlner Optmzton Ynyu Ye Deprtment of Mngement Scence nd Engneerng Stnford Unversty Stnford, CA 9430, U.S.A. http://www.stnford.edu/~yyye http://www.stnford.edu/clss/msnde/ Ynyu Ye, Stnford, MS&E

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

Inelastic electron tunneling through a vibrational modulated barrier in STM

Inelastic electron tunneling through a vibrational modulated barrier in STM Romnn Reports n Physcs, olume 55, Numer 4, P. 47 58, 3 Inelstc electron tunnelng through vrtonl modulted rrer n SM P. udu culty of Physcs, Unversty of uchrest, PO ox MG, Mgurele, Romn strct: Usng mny ody

More information

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011 Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

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

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

Solubilities and Thermodynamic Properties of SO 2 in Ionic

Solubilities and Thermodynamic Properties of SO 2 in Ionic Solubltes nd Therodync Propertes of SO n Ionc Lquds Men Jn, Yucu Hou, b Weze Wu, *, Shuhng Ren nd Shdong Tn, L Xo, nd Zhgng Le Stte Key Lbortory of Checl Resource Engneerng, Beng Unversty of Checl Technology,

More information

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

SYMMETRY CONCEPT APPLIED IN MOLECULAR SPECTROSCOPY

SYMMETRY CONCEPT APPLIED IN MOLECULAR SPECTROSCOPY SYMMETRY CONCEPT APPLED N MOLECULAR SPECTROSCOPY 1 D.O. DOROHO, C.E. HRETCANU, 3 M.C. CRASMAREANU 1 Fculty of Physcs, Al.. Cuz Unversty, ş, Romn Food Engneerng Fculty, Ştefn cel Mre Unversty, Sucev, Romn

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether

More information

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System Actvtor-Inhtor Model of Dynmcl System: Applcton to n Osclltng Chemcl Recton System C.G. Chrrth*P P,Denn BsuP P * Deprtment of Appled Mthemtcs Unversty of Clcutt 9, A. P. C. Rod, Kolt-79 # Deprtment of

More information

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO-ELASTIC COMPOSITE MEDIA

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO-ELASTIC COMPOSITE MEDIA THERMAL SCIENCE: Yer 8, Vol., No. B, pp. 43-433 43 TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO-ELASTIC COMPOSITE MEDIA y Prshnt Kumr MISHRA nd Sur DAS * Deprtment of Mthemtcl Scences, Indn Insttute

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Color Rendering Uncertainty

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

More information

Hyper-Sums of Powers of Integers and the Akiyama-Tanigawa Matrix

Hyper-Sums of Powers of Integers and the Akiyama-Tanigawa Matrix 6 Journal of Integer Sequences, Vol 8 (00), Artcle 0 Hyper-Sums of Powers of Integers and the Ayama-Tangawa Matrx Yoshnar Inaba Toba Senor Hgh School Nshujo, Mnam-u Kyoto 60-89 Japan nava@yoto-benejp Abstract

More information

3 x x x 1 3 x a a a 2 7 a Ba 1 NOW TRY EXERCISES 89 AND a 2/ Evaluate each expression.

3 x x x 1 3 x a a a 2 7 a Ba 1 NOW TRY EXERCISES 89 AND a 2/ Evaluate each expression. SECTION. Eponents nd Rdicls 7 B 7 7 7 7 7 7 7 NOW TRY EXERCISES 89 AND 9 7. EXERCISES CONCEPTS. () Using eponentil nottion, we cn write the product s. In the epression 3 4,the numer 3 is clled the, nd

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

2.12 Pull Back, Push Forward and Lie Time Derivatives

2.12 Pull Back, Push Forward and Lie Time Derivatives Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

Frequency-dependent seismic reflection coefficient for discriminating gas reservoirs

Frequency-dependent seismic reflection coefficient for discriminating gas reservoirs Journl of Geophyscs nd Engneerng 0, vol. 8, pp.508 53 do:0.088/74-3/8/4/003 Frequency-dependent sesmc reflecton coeffcent for dscrmntng gs reservors Duo Xu,, Ynghu Wng, Qgn Gn, Jnmng Tng. Centre for Reservor

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

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

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data Deprtment of Mechncl Engneerng, Unversty of Bth Mthemtcs ME10305 Prolem sheet 11 Lest Squres Fttng of dt NOTE: If you re gettng just lttle t concerned y the length of these questons, then do hve look t

More information

Haddow s Experiment:

Haddow s Experiment: schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd

More information

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

Pyramid Algorithms for Barycentric Rational Interpolation

Pyramid Algorithms for Barycentric Rational Interpolation Pyrmd Algorthms for Brycentrc Rtonl Interpolton K Hormnn Scott Schefer Astrct We present new perspectve on the Floter Hormnn nterpolnt. Ths nterpolnt s rtonl of degree (n, d), reproduces polynomls of degree

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract

Jean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract Stochstc domnnce on optml portfolo wth one rsk less nd two rsky ssets Jen Fernnd Nguem LAMETA UFR Scences Economques Montpeller Abstrct The pper provdes restrctons on the nvestor's utlty functon whch re

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

DYNAMIC PROPAGATION OF A WEAK-DISCONTINUOUS INTERFACE CRACK IN FUNCTIONALLY GRADED LAYERS UNDER ANTI-PLANE SHEAR

DYNAMIC PROPAGATION OF A WEAK-DISCONTINUOUS INTERFACE CRACK IN FUNCTIONALLY GRADED LAYERS UNDER ANTI-PLANE SHEAR 8 TH INTERNTIONL CONFERENCE ON COMPOSITE MTERILS DYNMIC PROPGTION OF WEK-DISCONTINUOUS INTERFCE CRCK IN FUNCTIONLLY GRDED LYERS UNDER NTI-PLNE SHER J.W. Sn *, Y.S. Lee, S.C. Km, I.H. Hwng 3 Subsystem Deprtment,

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp. MA123, Chpter 1: Formuls for integrls: integrls, ntiderivtives, nd the Fundmentl Theorem of Clculus (pp. 27-233, Gootmn) Chpter Gols: Assignments: Understnd the sttement of the Fundmentl Theorem of Clculus.

More information

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler)

Module 2: Rate Law & Stoichiomtery (Chapter 3, Fogler) CHE 309: Chemicl Rection Engineering Lecture-8 Module 2: Rte Lw & Stoichiomtery (Chpter 3, Fogler) Topics to be covered in tody s lecture Thermodynmics nd Kinetics Rection rtes for reversible rections

More information

Numerical Solution of Linear Fredholm Fuzzy Integral Equations by Modified Homotopy Perturbation Method

Numerical Solution of Linear Fredholm Fuzzy Integral Equations by Modified Homotopy Perturbation Method Austrln Journl of Bsc nd Appled Scences, 4(): 646-643, ISS 99-878 umercl Soluton of Lner Fredholm Fuzzy Integrl Equtons y Modfed Homotopy Perturton Method S.M. Khorsn Ksr, M. Khezerloo, 3 M.H. Dogn Aghcheghloo

More information

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data A07 Uncertinties in Locl Anisotropy Estimtion from Multi-offset VSP Dt M. Asghrzdeh* (Curtin University), A. Bon (Curtin University), R. Pevzner (Curtin University), M. Urosevic (Curtin University) & B.

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede Fll Anlss of Epermentl Mesurements B. Esensten/rev. S. Errede Monte Crlo Methods/Technques: These re mong the most powerful tools for dt nlss nd smulton of eperments. The growth of ther mportnce s closel

More information

Beam based calibration for beam position monitor

Beam based calibration for beam position monitor TBLA0 Bem bsed clbrton for bem poston montor 5-SEP-05 IBIC05 Melbourne M. Tejm KEK Contents Clbrton t the bennn Includn mppn of BPM hed lnment nd n clbrton of electrc crcut. Bem bsed lnment BBA n net er

More information

dy ky, dt where proportionality constant k may be positive or negative

dy ky, dt where proportionality constant k may be positive or negative Section 1.2 Autonomous DEs of the form 0 The DE y is mthemticl model for wide vriety of pplictions. Some of the pplictions re descried y sying the rte of chnge of y(t) is proportionl to the mount present.

More information

Smart Motorways HADECS 3 and what it means for your drivers

Smart Motorways HADECS 3 and what it means for your drivers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd

More information

Constructing Free Energy Approximations and GBP Algorithms

Constructing Free Energy Approximations and GBP Algorithms 3710 Advnced Topcs n A ecture 15 Brnslv Kveton kveton@cs.ptt.edu 5802 ennott qure onstructng Free Energy Approxtons nd BP Algorths ontent Why? Belef propgton (BP) Fctor grphs egon-sed free energy pproxtons

More information

Finding Dense Subgraphs in G(n, 1/2)

Finding Dense Subgraphs in G(n, 1/2) Fndng Dense Subgraphs n Gn, 1/ Atsh Das Sarma 1, Amt Deshpande, and Rav Kannan 1 Georga Insttute of Technology,atsh@cc.gatech.edu Mcrosoft Research-Bangalore,amtdesh,annan@mcrosoft.com Abstract. Fndng

More information

6 Random Errors in Chemical Analysis

6 Random Errors in Chemical Analysis 6 Rndom Error n Cheml Anl 6A The ture of Rndom Error 6A- Rndom Error Soure? Fg. 6- Three-dmenonl plot howng olute error n Kjeldhl ntrogen determnton for four dfferent nlt. Anlt Pree Aurte 4 Tle 6- Pole

More information

Magnetized Dust Fluid Tilted Universe for Perfect. Fluid Distribution in General Relativity

Magnetized Dust Fluid Tilted Universe for Perfect. Fluid Distribution in General Relativity Adv. Studes Theor. Phys., Vol., 008, no. 7, 87-8 Mgnetzed Dust Flud Tlted Unverse for Perfect Flud Dstruton n Generl Reltvty Ghnshym Sngh Rthore Deprtment of Mthemtcs nd Sttstcs, Unversty ollege of Scence,

More information

The heat budget of the atmosphere and the greenhouse effect

The heat budget of the atmosphere and the greenhouse effect The het budget of the tmosphere nd the greenhouse effect 1. Solr rdition 1.1 Solr constnt The rdition coming from the sun is clled solr rdition (shortwve rdition). Most of the solr rdition is visible light

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

Experiments, Outcomes, Events and Random Variables: A Revisit

Experiments, Outcomes, Events and Random Variables: A Revisit Eperiments, Outcomes, Events nd Rndom Vriles: A Revisit Berlin Chen Deprtment o Computer Science & Inormtion Engineering Ntionl Tiwn Norml University Reerence: - D. P. Bertseks, J. N. Tsitsiklis, Introduction

More information

Creating A New Planck s Formula of Spectral Density of Black-body Radiation by Means of AF(A) Diagram

Creating A New Planck s Formula of Spectral Density of Black-body Radiation by Means of AF(A) Diagram nd Jogj Interntionl Physics Conference Enhncing Network nd Collortion Developing Reserch nd Eduction in Physics nd Nucler Energy Septemer 6-9, 007, Yogykrt-Indonesi Creting A New Plnck s Formul of Spectrl

More information

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department

More information

Supporting Information

Supporting Information Supportng Informaton Water structure at the ar-aqueous nterface of dvalent caton and ntrate solutons Man Xu, Rck Spnney, Heather C. Allen* allen@chemstry.oho-state.edu Fresnel factors and spectra normalzaton

More information

Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service

Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service Dynmc Power Mngement n Moble Multmed System wth Gurnteed Qulty-of-Servce Qnru Qu, Qng Wu, nd Mssoud Pedrm Dept. of Electrcl Engneerng-Systems Unversty of Southern Clforn Los Angeles CA 90089 Outlne! Introducton

More information

Characteristics of Fiber Suspension Flow in a Turbulent Boundary Layer

Characteristics of Fiber Suspension Flow in a Turbulent Boundary Layer Chrcterstcs of Fber Suspenson Flow n Turbulent Boundry Lyer Jnzhong Ln, Suhu Shen, Xoke Ku Deprtment of Mechncs Hngzhou, Zheng CHINA Correspondence to: Jnzhong Ln eml: meczln@publc.zu.edu.cn ABSTRACT The

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document Fttng Polynol to Het Cpcty s Functon of Teperture for Ag. thetcl Bckground Docuent by Theres Jul Zelnsk Deprtent of Chestry, edcl Technology, nd Physcs onouth Unversty West ong Brnch, J 7764-898 tzelns@onouth.edu

More information

COMPLEX NUMBERS INDEX

COMPLEX NUMBERS INDEX COMPLEX NUMBERS INDEX. The hstory of the complex numers;. The mgnry unt I ;. The Algerc form;. The Guss plne; 5. The trgonometrc form;. The exponentl form; 7. The pplctons of the complex numers. School

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

3. Quasi-Stationary Electrodynamics

3. Quasi-Stationary Electrodynamics 3. Qus-ttonry Electrodynmcs J B 1 Condtons for the Qus- ttonry Electrodynmcs The Qus-ttonry Electrodynmcs s chrcterzed y 1 st order tme ntercton etween electrc nd mgnetc felds. In qus-sttonry EM, n the

More information

Torsion, Thermal Effects and Indeterminacy

Torsion, Thermal Effects and Indeterminacy ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information