Discussion of "Win-Win concession period determination methodology" by Xueqing Zhang

Size: px
Start display at page:

Download "Discussion of "Win-Win concession period determination methodology" by Xueqing Zhang"

Transcription

1 Ttle Dsussn f "Wn-Wn nessn perd determntn methdlgy" by Xueqng Zhng Authr(s) Wu, M; Chu, KW; Shen, QP Cttn Jurnl Of Cnstrutn Engneerng And Mngement, 0, v. n., p. Issued Dte 0 URL Rghts Jurnl f Cnstrutn Engneerng nd Mngement. Cpyrght Amern Sety f Cvl Engneers.

2 Edtrl Mnger(tm) fr Jurnl f Cnstrutn Engneerng nd Mngement Mnusrpt Drft Mnusrpt Number: COENG-R Ttle: Dsussn f "Wn-Wn Cnessn Perd Determntn Methdlgy" by Xueqng Zhng Artle Type: Dsussn Crrespndng Authr: Dr Mn Wu, Crrespndng Authr's Insttutn: The Unversty f Hng Kng Frst Authr: Mn Wu Order f Authrs: Mn Wu; Kwng W Chu, PhD, Chr Prfessr; Q P Shen, PhD, Chr Prfessr, Hed Mnusrpt Regn f Orgn: HONG KONG

3 *Mnusrpt Clk here t dwnld Mnusrpt: Cnessn perd dsussn pper (Fnl).d Dsussn f Wn-Wn Cnessn Perd Determntn Methdlgy by Xueqng Zhng June 00, Vl., N., pp.0-. DOI: 0.0/(ASCE)CO Wu, Mn, Crrespndng uthr, Prfessr, Mngement Shl, Chngqng J Tng Unversty (n leve); Reserh Assstnt Prfessr, Dept. f Rel Estte nd Cnstrutn, the Unversty f Hng Kng Eml: mnwu@hku.hk Chu, Kwng Wng, Chr Prfessr, Dept. f Rel Estte nd Cnstrutn, The Unversty f Hng Kng Eml: hrrbkw@hku.hk Shen, Q Png, Chr Prfessr nd Hed, Dept. f Buldng nd Rel Estte, The Hng Kng Plytehn Unv., Hung Hm, Kwln, Hng Kng. Eml: bsqpshen@net.plyu.edu.hk We rgue tht there re nnsstenes n Eqs (), () nd () n Zhng (00, p.) nd suggest revsns t Eqs () nd () t retfy the nnsstenes. The dsunt rtes n Eq. () nd Eq. () n Zhng re nt nsstent. Eq. () ws the frmul fr lultn f the net present vlue f the ttl pret nstrutn st, nd ws expressed by Zhng s where = T C R () s net present vlue f the ttl pret nstrutn st, C s the pret nstrutn st n yer, R s dsunt rte, T s the pret s nstrutn mpletn tme, C s the pret nstrutn st n yer. The dsunt ftr fr sh flw n yer s R, whh mens tht the referene yer fr dsuntng s the strtng yer f nstrutn f the pret. Eq. () ws the frmul fr lultn f the net revenues n the pertn perd nd ws expressed by Zhng s

4 0 0 0 where T T NCF R R () T T T Q P OM T NCF s the net sh flw ( NCF ) n pertn yer, s the net present vlue f NCFs, T s the pret frnhse pertn perd, Q s the serve/prdut demnded n yer durng the pertn perd, P s the pre f unt f serve/prdut n yer durng the pertn perd, durng pertn. OM s the pertn nd mntenne st n yer Sne the referene yer fr dsuntng n Eq. () s the strtng yer f nstrutn f the pret, n rder t be nsstent wth Eq. () n the referene yer fr dsuntng, Eq. () n Zhng (p.) thus shuld be mdfed s T T NCF R R () revsed T T T Q P OM T The dsunt rtes n Eq. () n Zhng (p.) re ls nnsstent. Eq. () ws develped bsed n the prnple tht the frnhse pertn perd shuld be lng enugh t enble the nessnre t reup hs nvestment nd ern resnble return ver the perd. The nessn perd s the sum f the pret nstrutn perd plus ts frnhse pertn perd. Eq. () n Zhng ws T T T T Q P OM C R R ()

5 0 0 0 where T s the mnmum length f the pret frnhse pertn perd eptble by the nessnre, P s lwer thn the mxmum publ ffrdble pre fr prtetng the publ nterest, R gvernment nd the nessnre. s n nternl rte f return (IRR) n equty greed by the hst The dsunt ftr fr sh flw n yer s R, gn, ths mens tht the referene yer fr dsuntng s the strtng yer f nstrutn f the pret. In rder t be nsstent n the referene yer fr dsuntng, the dsunt ftr fr sh flw n yer durng the pertn perd thus shuld be Eq. () n Zhng (00) shuld be mdfed s: T T T Q P OM C R R T R, rther thn R. Hene, () revsed T summrze, n rder t be nsstent n the referene yer fr dsuntng, Eq. () nd Eq. () n Zhng hve t be mdfed. Referene: Zhng, X.Q. (00). Wn-Wn nessn perd determntn methdlgy. J. Cnstr. Eng. Mnge., (), 0.

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

PRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination First Semester ( ) STAT 271.

PRINCE SULTAN UNIVERSITY Department of Mathematical Sciences Final Examination First Semester ( ) STAT 271. PRINCE SULTAN UNIVERSITY Deprtment f Mthemticl Sciences Finl Exmintin First Semester (007 008) STAT 71 Student Nme: Mrk Student Number: Sectin Number: Techer Nme: Time llwed is ½ hurs. Attendnce Number:

More information

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:

More information

Cargo-Loading Decisions: A Goal Programming Approach

Cargo-Loading Decisions: A Goal Programming Approach Cr-Ldn Desns: A Gl Prrn Apprh K K L nd Yue Wu Deprtent Mneent Senes Ct Unverst Hn Kn Hn Kn Etended Astrt Kerds: r ldn l prrn nd enet lrth Intrdutn. Bkrund the stud Anst the krund llztn rket nd the rpd

More information

Statistics and Probability Letters

Statistics and Probability Letters Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng

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

than 1. It means in particular that the function is decreasing and approaching the x-

than 1. It means in particular that the function is decreasing and approaching the x- 6 Preclculus Review Grph the functions ) (/) ) log y = b y = Solution () The function y = is n eponentil function with bse smller thn It mens in prticulr tht the function is decresing nd pproching the

More information

MA 15910, Lessons 2a and 2b Introduction to Functions Algebra: Sections 3.5 and 7.4 Calculus: Sections 1.2 and 2.1

MA 15910, Lessons 2a and 2b Introduction to Functions Algebra: Sections 3.5 and 7.4 Calculus: Sections 1.2 and 2.1 MA 15910, Lessons nd Introduction to Functions Alger: Sections 3.5 nd 7.4 Clculus: Sections 1. nd.1 Representing n Intervl Set of Numers Inequlity Symol Numer Line Grph Intervl Nottion ) (, ) ( (, ) ]

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

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

4 7x =250; 5 3x =500; Read section 3.3, 3.4 Announcements: Bell Ringer: Use your calculator to solve

4 7x =250; 5 3x =500; Read section 3.3, 3.4 Announcements: Bell Ringer: Use your calculator to solve Dte: 3/14/13 Objective: SWBAT pply properties of exponentil functions nd will pply properties of rithms. Bell Ringer: Use your clcultor to solve 4 7x =250; 5 3x =500; HW Requests: Properties of Log Equtions

More information

² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia.

² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia. str Dy Ps. 138 R 7 r r x, t huc t m m, l : p - í pr m m num m, l l : VR M rá s f ct st sc n -, l l -. Rpt nphn s fr s VR ftr ch vrs Ps. 1. D n, pr bá m, t c g ví m : c g ví ss s nm m m, t r r r c nm m

More information

Beginning and Ending Cash and Investment Balances for the month of January 2016

Beginning and Ending Cash and Investment Balances for the month of January 2016 ADIISTRATIVE STAFF REPRT T yr nd Tn uncil rch 15 216 SBJET Jnury 216 nth End Tresurer s Reprt BAKGRD The lifrni Gvernment de nd the Tn f Dnville s Investment Plicy require tht reprt specifying the investment

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

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

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers Interntonl Journl of Applton or Innovton n Engneerng & Mngement (IJAIEM) Web Ste: www.jem.org Eml: edtor@jem.org Effetveness nd Effeny Anlyss of Prllel Flow nd Counter Flow Het Exngers oopes wr 1, Dr.Govnd

More information

Objective of curve fitting is to represent a set of discrete data by a function (curve). Consider a set of discrete data as given in table.

Objective of curve fitting is to represent a set of discrete data by a function (curve). Consider a set of discrete data as given in table. CURVE FITTING Obectve curve ttg s t represet set dscrete dt b uct curve. Csder set dscrete dt s gve tble. 3 3 = T use the dt eectvel, curve epress s tted t the gve dt set, s = + = + + = e b ler uct plml

More information

OVERVIEW Using Similarity and Proving Triangle Theorems G.SRT.4

OVERVIEW Using Similarity and Proving Triangle Theorems G.SRT.4 OVRVIW Using Similrity nd Prving Tringle Therems G.SRT.4 G.SRT.4 Prve therems ut tringles. Therems include: line prllel t ne side f tringle divides the ther tw prprtinlly, nd cnversely; the Pythgren Therem

More information

Conduction Heat Transfer

Conduction Heat Transfer Cnductn Heat Transfer Practce prblems A steel ppe f cnductvty 5 W/m-K has nsde and utsde surface temperature f C and 6 C respectvely Fnd the heat flw rate per unt ppe length and flux per unt nsde and per

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

Technote 6. Op Amp Definitions. April 1990 Revised 11/22/02. Tim J. Sobering SDE Consulting

Technote 6. Op Amp Definitions. April 1990 Revised 11/22/02. Tim J. Sobering SDE Consulting Technte 6 prl 990 Resed /22/02 Op mp Dentns Tm J. Sberng SDE Cnsultng sdecnsultng@pbx.cm 990 Tm J. Sberng. ll rghts resered. Op mp Dentns Pge 2 Op mp Dentns Ths Technte summrzes the bsc pertnl mpler dentns

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

Read section 3.3, 3.4 Announcements:

Read section 3.3, 3.4 Announcements: Dte: 3/1/13 Objective: SWBAT pply properties of exponentil functions nd will pply properties of rithms. Bell Ringer: 1. f x = 3x 6, find the inverse, f 1 x., Using your grphing clcultor, Grph 1. f x,f

More information

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn

More information

Analysis The characteristic length of the junction and the Biot number are

Analysis The characteristic length of the junction and the Biot number are -4 4 The temerature f a gas stream s t be measured by a thermule. The tme t taes t regster 99 erent f the ntal ΔT s t be determned. Assumtns The juntn s sheral n shae wth a dameter f D 0.00 m. The thermal

More information

M/G/1/GD/ / System. ! Pollaczek-Khinchin (PK) Equation. ! Steady-state probabilities. ! Finding L, W q, W. ! π 0 = 1 ρ

M/G/1/GD/ / System. ! Pollaczek-Khinchin (PK) Equation. ! Steady-state probabilities. ! Finding L, W q, W. ! π 0 = 1 ρ M/G//GD/ / System! Pollcze-Khnchn (PK) Equton L q 2 2 λ σ s 2( + ρ ρ! Stedy-stte probbltes! π 0 ρ! Fndng L, q, ) 2 2 M/M/R/GD/K/K System! Drw the trnston dgrm! Derve the stedy-stte probbltes:! Fnd L,L

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

11.2. Infinite Series

11.2. Infinite Series .2 Infinite Series 76.2 Infinite Series An infinite series is the sum f n infinite seuence f numbers + 2 + 3 + Á + n + Á The gl f this sectin is t understnd the mening f such n infinite sum nd t develp

More information

Equations and Inequalities

Equations and Inequalities Equtions nd Inequlities Equtions nd Inequlities Curriculum Redy ACMNA: 4, 5, 6, 7, 40 www.mthletics.com Equtions EQUATIONS & Inequlities & INEQUALITIES Sometimes just writing vribles or pronumerls in

More information

1 Probability Density Functions

1 Probability Density Functions Lis Yn CS 9 Continuous Distributions Lecture Notes #9 July 6, 28 Bsed on chpter by Chris Piech So fr, ll rndom vribles we hve seen hve been discrete. In ll the cses we hve seen in CS 9, this ment tht our

More information

Algebra & Functions (Maths ) opposite side

Algebra & Functions (Maths ) opposite side Instructor: Dr. R.A.G. Seel Trigonometr Algebr & Functions (Mths 0 0) 0th Prctice Assignment hpotenuse hpotenuse side opposite side sin = opposite hpotenuse tn = opposite. Find sin, cos nd tn in 9 sin

More information

For the percentage of full time students at RCC the symbols would be:

For the percentage of full time students at RCC the symbols would be: Mth 17/171 Chpter 7- ypothesis Testing with One Smple This chpter is s simple s the previous one, except it is more interesting In this chpter we will test clims concerning the sme prmeters tht we worked

More information

Gromo Trade & Consultancy Limited (Formerly Kamalakshi Finance Corporation Limited) CIN: L67120MH1973PLC016243

Gromo Trade & Consultancy Limited (Formerly Kamalakshi Finance Corporation Limited) CIN: L67120MH1973PLC016243 Grm Trde & nsultncy Limited (Frmerly Kmlkshi Finnce rprtin Limited) : L712H1973PL1243 Dte: 3/11/218 T rprte Services Bmby Stck xchnge Ltd. rprte Reltinship Dept, 1st Flr, ew Trding Ring, Rtund Building,

More information

Matching patterns of line segments by eigenvector decomposition

Matching patterns of line segments by eigenvector decomposition Title Mtching ptterns of line segments y eigenvector decomposition Author(s) Chn, BHB; Hung, YS Cittion The 5th IEEE Southwest Symposium on Imge Anlysis nd Interprettion Proceedings, Snte Fe, NM., 7-9

More information

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES TXAS DARTMT T STAT AT SRVS J RSTDT, M.D. MMSSR.. Bx 149347 Astn, T exs 7 87 4 93 47 18889371 1 TTY: l800732989 www.shs.stte.tx.s R: l nmtn n mps Webstes De Spentenent n Shl Amnsttn, eby 8,201 k 2007, the

More information

1. Twelve less than five times a number is thirty three. What is the number

1. Twelve less than five times a number is thirty three. What is the number Alger 00 Midterm Review Nme: Dte: Directions: For the following prolems, on SEPARATE PIECE OF PAPER; Define the unknown vrile Set up n eqution (Include sketch/chrt if necessr) Solve nd show work Answer

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

A Modified ADM for Solving Systems of Linear Fredholm Integral Equations of the Second Kind

A Modified ADM for Solving Systems of Linear Fredholm Integral Equations of the Second Kind Applied Mthemticl Sciences, Vol. 6, 2012, no. 26, 1267-1273 A Modified ADM for Solving Systems of Liner Fredholm Integrl Equtions of the Second Kind A. R. Vhidi nd T. Dmercheli Deprtment of Mthemtics,

More information

POSITIVE IMPLICATIVE AND ASSOCIATIVE FILTERS OF LATTICE IMPLICATION ALGEBRAS

POSITIVE IMPLICATIVE AND ASSOCIATIVE FILTERS OF LATTICE IMPLICATION ALGEBRAS Bull. Koren Mth. So. 35 (998), No., pp. 53 6 POSITIVE IMPLICATIVE AND ASSOCIATIVE FILTERS OF LATTICE IMPLICATION ALGEBRAS YOUNG BAE JUN*, YANG XU AND KEYUN QIN ABSTRACT. We introue the onepts of positive

More information

Fuzzy Rings and Anti Fuzzy Rings With Operators

Fuzzy Rings and Anti Fuzzy Rings With Operators OSR Journal of Mathemats (OSR-JM) e-ssn: 2278-5728, p-ssn: 2319-765X. Volume 11, ssue 4 Ver. V (Jul - ug. 2015), PP 48-54 www.osrjournals.org Fuzzy Rngs and nt Fuzzy Rngs Wth Operators M.Z.lam Department

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

AVL Trees. D Oisín Kidney. August 2, 2018

AVL Trees. D Oisín Kidney. August 2, 2018 AVL Trees D Oisín Kidne August 2, 2018 Astrt This is verified implementtion of AVL trees in Agd, tking ides primril from Conor MBride s pper How to Keep Your Neighours in Order [2] nd the Agd stndrd lirr

More information

Section 6: Area, Volume, and Average Value

Section 6: Area, Volume, and Average Value Chpter The Integrl Applied Clculus Section 6: Are, Volume, nd Averge Vlue Are We hve lredy used integrls to find the re etween the grph of function nd the horizontl xis. Integrls cn lso e used to find

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

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

Learning Enhancement Team

Learning Enhancement Team Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht

More information

arxiv: v1 [math.ca] 28 Jan 2013

arxiv: v1 [math.ca] 28 Jan 2013 ON NEW APPROACH HADAMARD-TYPE INEQUALITIES FOR s-geometrically CONVEX FUNCTIONS rxiv:3.9v [mth.ca 8 Jn 3 MEVLÜT TUNÇ AND İBRAHİM KARABAYIR Astrct. In this pper we chieve some new Hdmrd type ineulities

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Solving Radical Equations

Solving Radical Equations Solving dil Equtions Equtions with dils: A rdil eqution is n eqution in whih vrible ppers in one or more rdinds. Some emples o rdil equtions re: Solution o dil Eqution: The solution o rdil eqution is the

More information

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40

Section 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40 Mth B Prof. Audrey Terrs HW # Solutions by Alex Eustis Due Tuesdy, Oct. 9 Section 5. #7,, 6,, 5; Section 5. #8, 9, 5,, 7, 3; Section 5.3 #4, 6, 9, 3, 6, 8, 3; Section 5.4 #7, 8,, 3, 5, 9, 4 5..7 Since

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

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

Exponentials & Logarithms Unit 8

Exponentials & Logarithms Unit 8 U n i t 8 AdvF Dte: Nme: Eponentils & Logrithms Unit 8 Tenttive TEST dte Big ide/lerning Gols This unit begins with the review of eponent lws, solving eponentil equtions (by mtching bses method nd tril

More information

Solutions to Problems. Then, using the formula for the speed in a parabolic orbit (equation ), we have

Solutions to Problems. Then, using the formula for the speed in a parabolic orbit (equation ), we have Slutins t Prblems. Nttin: V speed f cmet immeditely befre cllisin. V speed f cmbined bject immeditely fter cllisin, mmentum is cnserved. V, becuse liner + k q perihelin distnce f riginl prblic rbit, s

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Introduction Lecture 3 Gussin Probbility Distribution Gussin probbility distribution is perhps the most used distribution in ll of science. lso clled bell shped curve or norml distribution Unlike the binomil

More information

LECTURE 2 1. THE SPACE RELATED PROPRIETIES OF PHYSICAL QUANTITIES

LECTURE 2 1. THE SPACE RELATED PROPRIETIES OF PHYSICAL QUANTITIES LECTURE. THE SPCE RELTED PROPRIETIES OF PHYSICL QUNTITIES Phss uses phsl prmeters. In ths urse ne wll del nl wth slr nd vetr prmeters. Slr prmeters d nt depend n the spe dretn. Vetr prmeters depend n spe

More information

Section 14.3 Arc Length and Curvature

Section 14.3 Arc Length and Curvature Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in

More information

5.2 Exponent Properties Involving Quotients

5.2 Exponent Properties Involving Quotients 5. Eponent Properties Involving Quotients Lerning Objectives Use the quotient of powers property. Use the power of quotient property. Simplify epressions involving quotient properties of eponents. Use

More information

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3

ECE 6340 Intermediate EM Waves. Fall Prof. David R. Jackson Dept. of ECE. Notes 3 C 634 Intermedate M Waves Fall 216 Prof. Davd R. akson Dept. of C Notes 3 1 Types of Current ρ v Note: The free-harge densty ρ v refers to those harge arrers (ether postve or negatve) that are free to

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus The Fundmentl Theorem of Clculus Professor Richrd Blecksmith richrd@mth.niu.edu Dept. of Mthemticl Sciences Northern Illinois University http://mth.niu.edu/ richrd/mth229. The Definite Integrl We define

More information

Section 6.4 Graphs of the sine and cosine functions

Section 6.4 Graphs of the sine and cosine functions Section 6. Grphs of the sine nd cosine functions This is the grph of the sine function f() sin f() sin Domin All rel numbers (, ) Rnge [ 1,1] Amplitute 1 Period π This sine function hs Period of π mens

More information

Deteriorating Inventory Model for Waiting. Time Partial Backlogging

Deteriorating Inventory Model for Waiting. Time Partial Backlogging Applied Mthemticl Sciences, Vol. 3, 2009, no. 9, 42-428 Deteriorting Inventory Model for Witing Time Prtil Bcklogging Nit H. Shh nd 2 Kunl T. Shukl Deprtment of Mthemtics, Gujrt university, Ahmedbd. 2

More information

1. Find the derivative of the following functions. a) f(x) = 2 + 3x b) f(x) = (5 2x) 8 c) f(x) = e2x

1. Find the derivative of the following functions. a) f(x) = 2 + 3x b) f(x) = (5 2x) 8 c) f(x) = e2x I. Dierentition. ) Rules. *product rule, quotient rule, chin rule MATH 34B FINAL REVIEW. Find the derivtive of the following functions. ) f(x) = 2 + 3x x 3 b) f(x) = (5 2x) 8 c) f(x) = e2x 4x 7 +x+2 d)

More information

PHYSICS 212 MIDTERM II 19 February 2003

PHYSICS 212 MIDTERM II 19 February 2003 PHYSICS 1 MIDERM II 19 Feruary 003 Exam s losed ook, losed notes. Use only your formula sheet. Wrte all work and answers n exam ooklets. he aks of pages wll not e graded unless you so request on the front

More information

MAT 1275: Introduction to Mathematical Analysis

MAT 1275: Introduction to Mathematical Analysis MAT 75: Intrdutin t Mthemtil Anlysis Dr. A. Rzenlyum Trignmetri Funtins fr Aute Angles Definitin f six trignmetri funtins Cnsider the fllwing girffe prlem: A girffe s shdw is 8 meters. Hw tll is the girffe

More information

Stress Concentrations

Stress Concentrations Stress Cncentrtins A stress cncentrtin refers t n re in bject where stress increses ver very shrt distnce (i.e., where high stress grdient eists Stress cncentrtins typiclly ccur due t sme lclized chnge

More information

Domine Dominus Noster Motetto a V voci

Domine Dominus Noster Motetto a V voci Dn Dns Nstr Mttt V vc And Gbrl (c. 1533-155) Prm Prs O Lrd r Lrd, hw dbl s thy n th whl rth! Fr thy mgfcnc s lvtd bv th hvns. Ot f th mth f fnts nd f cklgs th hst prfctd ps, bcs f thy ns, tht th ght dstry

More information

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve. Clculus Li Vs The Fundmentl Theorem of Clculus. The Totl Chnge Theorem nd the Are Under Curve. Recll the following fct from Clculus course. If continuous function f(x) represents the rte of chnge of F

More information

Study on the Normal and Skewed Distribution of Isometric Grouping

Study on the Normal and Skewed Distribution of Isometric Grouping Open Journ of Sttstcs 7-5 http://dx.do.org/.36/ojs..56 Pubshed Onne October (http://www.scp.org/journ/ojs) Study on the orm nd Skewed Dstrbuton of Isometrc Groupng Zhensheng J Wenk J Schoo of Economcs

More information

Decision Networks. CS 188: Artificial Intelligence. Decision Networks. Decision Networks. Decision Networks and Value of Information

Decision Networks. CS 188: Artificial Intelligence. Decision Networks. Decision Networks. Decision Networks and Value of Information CS 188: Artificil Intelligence nd Vlue of Informtion Instructors: Dn Klein nd Pieter Abbeel niversity of Cliforni, Berkeley [These slides were creted by Dn Klein nd Pieter Abbeel for CS188 Intro to AI

More information

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply

More information

Equations, expressions and formulae

Equations, expressions and formulae Get strted 2 Equtions, epressions nd formule This unit will help you to work with equtions, epressions nd formule. AO1 Fluency check 1 Work out 2 b 2 c 7 2 d 7 2 2 Simplify by collecting like terms. b

More information

PRE-BOARD MATHEMATICS-1st (Held on 26 December 2017)

PRE-BOARD MATHEMATICS-1st (Held on 26 December 2017) P-B M 7-8 PRE-BOARD MATHEMATICS-st (Held n 6 Decemer 07) ANSWER KEY (FULL SYLLABUS) M.M : 80 Generl Instructins:. The questin pper cmprises f fur sectins, A, B, C & D.. All questins re cmpulsry.. Sectin

More information

Math 130 Midterm Review

Math 130 Midterm Review Mth 130 Midterm Review April 6, 2013 1 Topic Outline: The following outline contins ll of the mjor topics tht you will need to know for the exm. Any topic tht we ve discussed in clss so fr my pper on the

More information

2. Caryn needs to ship a box that is 14 high, 12 inches deep and 24 inches long. After sealing the box, she tied it with twine as shown:

2. Caryn needs to ship a box that is 14 high, 12 inches deep and 24 inches long. After sealing the box, she tied it with twine as shown: Perimeter Mtters 1. Mrt wnts t tie rin rund the sides f hexgnl x nd then tie w. ch side f the x is 4 inches lng. She needs 14 inches fr the w. Is ne yrd f rin enugh? xlin. hen stte exctly hw lng the rin

More information

Train Up A Child Paul Marxhausen All Rights Reserved. Dedicated to Stu Tietz for 30 years of Lutheran teaching ministry. Free Praise License

Train Up A Child Paul Marxhausen All Rights Reserved. Dedicated to Stu Tietz for 30 years of Lutheran teaching ministry. Free Praise License Trn Up A Chld 2000 Pul Mrxhusen All Rghts Reserved Dedcted to Stu Tetz for 30 yers of Luthern techng mnstry Free Prse Lcense Ths lcense does NOT supercede or replce the rghts of the composer(s) under Unted

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

MATH 122, Final Exam

MATH 122, Final Exam MATH, Finl Exm Winter Nme: Setion: You must show ll of your work on the exm pper, legily n in etil, to reeive reit. A formul sheet is tthe.. (7 pts eh) Evlute the following integrls. () 3x + x x Solution.

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

8 factors of x. For our second example, let s raise a power to a power:

8 factors of x. For our second example, let s raise a power to a power: CH 5 THE FIVE LAWS OF EXPONENTS EXPONENTS WITH VARIABLES It s no time for chnge in tctics, in order to give us deeper understnding of eponents. For ech of the folloing five emples, e ill stretch nd squish,

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019 ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS MATH00030 SEMESTER 208/209 DR. ANTHONY BROWN 7.. Introduction to Integrtion. 7. Integrl Clculus As ws the cse with the chpter on differentil

More information

Non Deterministic Automata. Linz: Nondeterministic Finite Accepters, page 51

Non Deterministic Automata. Linz: Nondeterministic Finite Accepters, page 51 Non Deterministic Automt Linz: Nondeterministic Finite Accepters, pge 51 1 Nondeterministic Finite Accepter (NFA) Alphbet ={} q 1 q2 q 0 q 3 2 Nondeterministic Finite Accepter (NFA) Alphbet ={} Two choices

More information

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1.

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1. Mth Anlysis CP WS 4.X- Section 4.-4.4 Review Complete ech question without the use of grphing clcultor.. Compre the mening of the words: roots, zeros nd fctors.. Determine whether - is root of 0. Show

More information

Mechanical & Plumbing Permits are included in permit fees for all Non- Commercial work. Commercial Work

Mechanical & Plumbing Permits are included in permit fees for all Non- Commercial work. Commercial Work BULDG PERT FEES KAGA UTY BULDG DEPARTET BULDG VALUAT SHEDULE nufctured Hoe Pert Flt Fee Sngle de- 2. Double de- 25. Trle de-. Yurt Flt Fee 25. odulr Hoe Pert Flt Fee Per Story- 25. ove Pert Flt Fee 5.

More information

Module 7: Solved Problems

Module 7: Solved Problems Mdule 7: Slved Prblems 1 A tn-walled nentr tube eat exanger f 019-m lengt s t be used t eat denzed water frm 40 t 60 at a flw rate f 5 kg/s te denzed water flws trug te nner tube f 30-mm dameter wle t

More information

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3

( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = 0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3 3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the

More information

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004 Advnced Clculus: MATH 410 Notes on Integrls nd Integrbility Professor Dvid Levermore 17 October 2004 1. Definite Integrls In this section we revisit the definite integrl tht you were introduced to when

More information

Research Article The Prediction for Shanghai Business Climate Index by Grey Model

Research Article The Prediction for Shanghai Business Climate Index by Grey Model Reserch Journl of Applied Sciences, Engineering nd echnology 7(4): 976-980, 04 DOI:0.906/rjset.7.69 ISSN: 040-7459; e-issn: 040-7467 04 Mwell Scientific Publiction Corp. Submitted: September 4, 03 Accepted:

More information

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F)

1.3 Hence, calculate a formula for the force required to break the bond (i.e. the maximum value of F) EN40: Dynacs and Vbratons Hoework 4: Work, Energy and Lnear Moentu Due Frday March 6 th School of Engneerng Brown Unversty 1. The Rydberg potental s a sple odel of atoc nteractons. It specfes the potental

More information

Statistics in medicine

Statistics in medicine Sttistis in meiine Workshop 1: Sreening n ignosti test evlution Septemer 22, 2016 10:00 AM to 11:50 AM Hope 110 Ftm Shel, MD, MS, MPH, PhD Assistnt Professor Chroni Epiemiology Deprtment Yle Shool of Puli

More information

Solutions of Klein - Gordan equations, using Finite Fourier Sine Transform

Solutions of Klein - Gordan equations, using Finite Fourier Sine Transform IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 6 Ver. IV (Nov. - Dec. 2017), PP 19-24 www.iosrjournls.org Solutions of Klein - Gordn equtions, using Finite Fourier

More information

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004 Jós, G GEE 401 wer Electrnc Systems Slutn t Mdterm Examnatn Fall 2004 Specal nstructns: - Duratn: 75 mnutes. - Materal allwed: a crb sheet (duble sded 8.5 x 11), calculatr. - Attempt all questns. Make

More information

5.7 Improper Integrals

5.7 Improper Integrals 458 pplictions of definite integrls 5.7 Improper Integrls In Section 5.4, we computed the work required to lift pylod of mss m from the surfce of moon of mss nd rdius R to height H bove the surfce of the

More information

dt. However, we might also be curious about dy

dt. However, we might also be curious about dy Section 0. The Clculus of Prmetric Curves Even though curve defined prmetricly my not be function, we cn still consider concepts such s rtes of chnge. However, the concepts will need specil tretment. For

More information

Part C Dynamics and Statics of Rigid Body. Chapter 5 Rotation of a Rigid Body About a Fixed Axis

Part C Dynamics and Statics of Rigid Body. Chapter 5 Rotation of a Rigid Body About a Fixed Axis Part C Dynamcs and Statcs of Rgd Body Chapter 5 Rotaton of a Rgd Body About a Fxed Axs 5.. Rotatonal Varables 5.. Rotaton wth Constant Angular Acceleraton 5.3. Knetc Energy of Rotaton, Rotatonal Inerta

More information

Physic 231 Lecture 33

Physic 231 Lecture 33 Physc 231 Lecture 33 Man pnts f tday s lecture: eat and heat capacty: Q cm Phase transtns and latent heat: Q Lm ( ) eat flw Q k 2 1 t L Examples f heat cnductvty, R values fr nsulatrs Cnvectn R L / k Radatn

More information

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas Sectn : Detaled Slutns f Wrd Prblems Unt : Slvng Wrd Prblems by Mdelng wth Frmulas Example : The factry nvce fr a mnvan shws that the dealer pad $,5 fr the vehcle. If the stcker prce f the van s $5,, hw

More information

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C nx. Dvon o h n wh In h sn o ul sk h n o h x shl u o nnng y h m s s h ol ouon s h num o ssus s h oo nom x s h sonl nom x n s h v x on quy whh s wgh vg o vn n l gns x s. In hs s h o sonl nom xs on h x shl

More information

I do slope intercept form With my shades on Martin-Gay, Developmental Mathematics

I do slope intercept form With my shades on Martin-Gay, Developmental Mathematics AAT-A Dte: 1//1 SWBAT simplify rdicls. Do Now: ACT Prep HW Requests: Pg 49 #17-45 odds Continue Vocb sheet In Clss: Complete Skills Prctice WS HW: Complete Worksheets For Wednesdy stmped pges Bring stmped

More information

Realistic Method for Solving Fully Intuitionistic Fuzzy. Transportation Problems

Realistic Method for Solving Fully Intuitionistic Fuzzy. Transportation Problems Applied Mthemticl Sciences, Vol 8, 201, no 11, 6-69 HKAR Ltd, wwwm-hikricom http://dxdoiorg/10988/ms20176 Relistic Method for Solving Fully ntuitionistic Fuzzy Trnsporttion Problems P Pndin Deprtment of

More information