y or f (x) to determine their nature.
|
|
|
- Sarah Wade
- 9 years ago
- Views:
Transcription
1 Level C5 of challenge: D C5 Fining stationar points of cubic functions functions Mathematical goals Starting points Materials require Time neee To enable learners to: fin the stationar points of a cubic function; etermine the nature of these stationar points; an to iscuss an unerstan these processes. Learners shoul have some knowlege of: ifferentiation of polnomials; fining stationar points of a quaratic function; using or f (x) to etermine their nature. For each learner ou will nee: mini-whiteboar; Sheet 1 Matching. For each small group of learners ou will nee: Car set A Stationar points; large sheet of paper for making a poster; glue stick; felt tip pens. At least 1 hour. Level of challenge: D C5 Fining stationar points of cubic functions C5 1
2 Level of challenge: D C5 Fining stationar points of cubic functions Suggeste approach Beginning the session Use mini-whiteboars an whole group questioning to revise ifferentiation of polnomials an stationar points of a quaratic function b asking a range of questions such as: If = 4x + 5x 1 what is? If = x 3 8x + 6x 1 what is? Fin the x coorinate of the stationar point of = x 8x + 3. How o ou know whether it is a maximum or a minimum? Explain that, to fin the stationar points on a cubic graph, exactl the same metho is use. You ma like to encourage learners to think about the likel shape of the graph. Working in groups (1) Ask learners to work in pairs. Give out Car set A Stationar points an ask learners to sort the cars into functions. Explain that the cars inclue three cubic functions an all the steps require to fin their stationar points an to etermine the nature of those stationar points. Learners have to sort the cars/steps into an appropriate orer an stick them onto the poster paper in three columns, one for each function. Learners who struggle can be given just one or two functions to sort. Learners who fin the task eas coul be aske to fin examples of cubic functions that have onl one stationar point or no stationar points. You shoul encourage them to relate their answers to the erive quaratic functions. Whole group iscussion When all learners have complete at least one function, iscuss the orer in which the have stuck own the steps. Ask learners to compare their orers with pairs sitting near them an to report an ifferences. Discuss how the orers can be checke an which orers are logicall correct. Working in groups () Ask learners to write a comment besie each step of one of their functions, explaining its purpose. Finall, ask them to sketch a graph of the function, marking the stationar points. C5
3 What learners might o next Further ieas Reviewing an extening the learning Give iniviual learners Sheet 1 Matching an ask them to match the equations to the graphs, justifing their choice as full as the can. You ma wish to ask them to match onl two equations an graphs. Learners coul be aske to explore an then sketch a given cubic function that factorises. This woul connect work using the factor theorem with this session on stationar points. This approach coul be use to fin stationar points of other tpes of functions (e.g. functions with fractional or negative inices). This wa of sorting the orer of a solution can be use for solving multi-stage problems on an topic. Level of challenge: D C5 Fining stationar points of cubic functions C5 3
4 Level of challenge: D C5 Fining stationar points of cubic functions BLANK PAGE FOR NOTES C5 4
5 C5 Car set A Stationar points (page 1) 3 3 = x 4x + 5x + 11 = x x x + 3 = x 7x 5x + 9 3x 8x + 5 = 0 6x 8 = 5 = 3x 14x 5 C5 Fining stationar points of cubic functions x = 1 3, = K x = 5 3, x = 1 = 3x x 1 6x = x = 1, = K x = 1 3, x = 5 ( x )( x ) = 0 x = 1, = K 3x 14x 5 = 0 3x x 1 = 0 C5 5
6 C5 Car set A Stationar points (page ) ( 3x 5)( x 1) = 0 ( x )( x ) x = 5, x = 1 3, = K = 0 = 3x 8x + 5 = K x = 1 3, x = 1 C5 Fining stationar points of cubic functions = 6x 14 x = 5 3, = K Maximum is at Minimum is at Minimum is at Maximum is at Maximum is at Minimum is at C5 6
7 C5 Sheet 1 Matching Name: Match these equations to their graph. Give as much evience as ou can to justif our matchings. The graphs are not rawn to scale. Equation 1 Equation 3 3 = x + x 5x = x + 7x + 15x + 1 Equation Equation 4 3 = x 9x + x 10 3 = x x 13x 10 C5 Fining stationar points of cubic functions Graph A Graph B Graph C Graph D C5 7
Mathematical goals. Starting points. Materials required. Time needed
Level C1 of challenge: D C1 Linking the properties and forms of quadratic of quadratic functions functions Mathematical goals Starting points Materials required Time needed To enable learners to: identif
Mathematical goals. Starting points. Materials required. Time needed
Level N9 of challenge: B N9 Evaluating directed number statements statements Mathematical goals Starting points Materials required Time needed To enable learners to: make valid generalisations about the
Mathematics. Circles. hsn.uk.net. Higher. Contents. Circles 119 HSN22400
hsn.uk.net Higher Mathematics UNIT OUTCOME 4 Circles Contents Circles 119 1 Representing a Circle 119 Testing a Point 10 3 The General Equation of a Circle 10 4 Intersection of a Line an a Circle 1 5 Tangents
For each learner you will need: mini-whiteboard. For each small group of learners you will need: Card set A Factors; Card set B True/false.
Level A11 of challenge: D A11 Mathematical goals Starting points Materials required Time needed Factorising cubics To enable learners to: associate x-intercepts with finding values of x such that f (x)
Lagrangian and Hamiltonian Mechanics
Lagrangian an Hamiltonian Mechanics D.G. Simpson, Ph.D. Department of Physical Sciences an Engineering Prince George s Community College December 5, 007 Introuction In this course we have been stuying
Fluid Pressure and Fluid Force
0_0707.q //0 : PM Page 07 SECTION 7.7 Section 7.7 Flui Pressure an Flui Force 07 Flui Pressure an Flui Force Fin flui pressure an flui force. Flui Pressure an Flui Force Swimmers know that the eeper an
10.2 Systems of Linear Equations: Matrices
SECTION 0.2 Systems of Linear Equations: Matrices 7 0.2 Systems of Linear Equations: Matrices OBJECTIVES Write the Augmente Matrix of a System of Linear Equations 2 Write the System from the Augmente Matrix
Representing Polynomials
CONCEPT DEVELOPMENT Mathematics Assessment Project CLASSROOM CHALLENGES A Formative Assessment Lesson Representing Polnomials Mathematics Assessment Resource Service Universit of Nottingham & UC Berkele
Higher. Polynomials and Quadratics 64
hsn.uk.net Higher Mathematics UNIT OUTCOME 1 Polnomials and Quadratics Contents Polnomials and Quadratics 64 1 Quadratics 64 The Discriminant 66 3 Completing the Square 67 4 Sketching Parabolas 70 5 Determining
Inverse Trig Functions
Inverse Trig Functions c A Math Support Center Capsule February, 009 Introuction Just as trig functions arise in many applications, so o the inverse trig functions. What may be most surprising is that
Mathematical goals. Starting points. Materials required. Time needed
Level S6 of challenge: B/C S6 Interpreting frequency graphs, cumulative cumulative frequency frequency graphs, graphs, box and box whisker and plots whisker plots Mathematical goals Starting points Materials
The one-year non-life insurance risk
The one-year non-life insurance risk Ohlsson, Esbjörn & Lauzeningks, Jan Abstract With few exceptions, the literature on non-life insurance reserve risk has been evote to the ultimo risk, the risk in the
To differentiate logarithmic functions with bases other than e, use
To ifferentiate logarithmic functions with bases other than e, use 1 1 To ifferentiate logarithmic functions with bases other than e, use log b m = ln m ln b 1 To ifferentiate logarithmic functions with
Mathematical goals. Starting points. Materials required. Time needed
Level A0 of challenge: D A0 Mathematical goals Starting points Materials required Time needed Connecting perpendicular lines To help learners to: identify perpendicular gradients; identify, from their
f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1
Exponential Functions an their Derivatives Exponential functions are functions of the form f(x) = a x, where a is a positive constant referre to as the base. The functions f(x) = x, g(x) = e x, an h(x)
Lecture L25-3D Rigid Body Kinematics
J. Peraire, S. Winall 16.07 Dynamics Fall 2008 Version 2.0 Lecture L25-3D Rigi Boy Kinematics In this lecture, we consier the motion of a 3D rigi boy. We shall see that in the general three-imensional
Rules for Finding Derivatives
3 Rules for Fining Derivatives It is teious to compute a limit every time we nee to know the erivative of a function. Fortunately, we can evelop a small collection of examples an rules that allow us to
Example Optimization Problems selected from Section 4.7
Example Optimization Problems selecte from Section 4.7 19) We are aske to fin the points ( X, Y ) on the ellipse 4x 2 + y 2 = 4 that are farthest away from the point ( 1, 0 ) ; as it happens, this point
Rural Development Tools: What Are They and Where Do You Use Them?
Faculty Paper Series Faculty Paper 00-09 June, 2000 Rural Development Tools: What Are They an Where Do You Use Them? By Dennis U. Fisher Professor an Extension Economist [email protected] Juith I. Stallmann
Exponential Functions: Differentiation and Integration. The Natural Exponential Function
46_54.q //4 :59 PM Page 5 5 CHAPTER 5 Logarithmic, Eponential, an Other Transcenental Functions Section 5.4 f () = e f() = ln The inverse function of the natural logarithmic function is the natural eponential
Mathematical goals. Starting points. Materials required. Time needed
Level A7 of challenge: C A7 Interpreting functions, graphs and tables tables Mathematical goals Starting points Materials required Time needed To enable learners to understand: the relationship between
State of Louisiana Office of Information Technology. Change Management Plan
State of Louisiana Office of Information Technology Change Management Plan Table of Contents Change Management Overview Change Management Plan Key Consierations Organizational Transition Stages Change
Differentiability of Exponential Functions
Differentiability of Exponential Functions Philip M. Anselone an John W. Lee Philip Anselone ([email protected]) receive his Ph.D. from Oregon State in 1957. After a few years at Johns Hopkins an
20. Product rule, Quotient rule
20. Prouct rule, 20.1. Prouct rule Prouct rule, Prouct rule We have seen that the erivative of a sum is the sum of the erivatives: [f(x) + g(x)] = x x [f(x)] + x [(g(x)]. One might expect from this that
On Adaboost and Optimal Betting Strategies
On Aaboost an Optimal Betting Strategies Pasquale Malacaria 1 an Fabrizio Smerali 1 1 School of Electronic Engineering an Computer Science, Queen Mary University of Lonon, Lonon, UK Abstract We explore
Calculus Refresher, version 2008.4. c 1997-2008, Paul Garrett, [email protected] http://www.math.umn.edu/ garrett/
Calculus Refresher, version 2008.4 c 997-2008, Paul Garrett, [email protected] http://www.math.umn.eu/ garrett/ Contents () Introuction (2) Inequalities (3) Domain of functions (4) Lines (an other items
Representing Data Using Frequency Graphs
Lesson 25 Mathematics Assessment Project Formative Assessment Lesson Materials Representing Data Using Graphs MARS Shell Center University of Nottingham & UC Berkeley Alpha Version If you encounter errors
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS
MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 14 10/27/2008 MOMENT GENERATING FUNCTIONS Contents 1. Moment generating functions 2. Sum of a ranom number of ranom variables 3. Transforms
The Quick Calculus Tutorial
The Quick Calculus Tutorial This text is a quick introuction into Calculus ieas an techniques. It is esigne to help you if you take the Calculus base course Physics 211 at the same time with Calculus I,
Introduction to Integration Part 1: Anti-Differentiation
Mathematics Learning Centre Introuction to Integration Part : Anti-Differentiation Mary Barnes c 999 University of Syney Contents For Reference. Table of erivatives......2 New notation.... 2 Introuction
Math 230.01, Fall 2012: HW 1 Solutions
Math 3., Fall : HW Solutions Problem (p.9 #). Suppose a wor is picke at ranom from this sentence. Fin: a) the chance the wor has at least letters; SOLUTION: All wors are equally likely to be chosen. The
Answers to the Practice Problems for Test 2
Answers to the Practice Problems for Test 2 Davi Murphy. Fin f (x) if it is known that x [f(2x)] = x2. By the chain rule, x [f(2x)] = f (2x) 2, so 2f (2x) = x 2. Hence f (2x) = x 2 /2, but the lefthan
Using research evidence in mental health: user-rating and focus group study of clinicians preferences for a new clinical question-answering service
DOI: 10.1111/j.1471-1842.2008.00833.x Using research evience in mental health: user-rating an focus group stuy of clinicians preferences for a new clinical question-answering service Elizabeth A. Barley*,
Measures of distance between samples: Euclidean
4- Chapter 4 Measures of istance between samples: Eucliean We will be talking a lot about istances in this book. The concept of istance between two samples or between two variables is funamental in multivariate
Option Pricing for Inventory Management and Control
Option Pricing for Inventory Management an Control Bryant Angelos, McKay Heasley, an Jeffrey Humpherys Abstract We explore the use of option contracts as a means of managing an controlling inventories
MSc. Econ: MATHEMATICAL STATISTICS, 1995 MAXIMUM-LIKELIHOOD ESTIMATION
MAXIMUM-LIKELIHOOD ESTIMATION The General Theory of M-L Estimation In orer to erive an M-L estimator, we are boun to make an assumption about the functional form of the istribution which generates the
DIFFRACTION AND INTERFERENCE
DIFFRACTION AND INTERFERENCE In this experiment you will emonstrate the wave nature of light by investigating how it bens aroun eges an how it interferes constructively an estructively. You will observe
There are two different ways you can interpret the information given in a demand curve.
Econ 500 Microeconomic Review Deman What these notes hope to o is to o a quick review of supply, eman, an equilibrium, with an emphasis on a more quantifiable approach. Deman Curve (Big icture) The whole
Risk Adjustment for Poker Players
Risk Ajustment for Poker Players William Chin DePaul University, Chicago, Illinois Marc Ingenoso Conger Asset Management LLC, Chicago, Illinois September, 2006 Introuction In this article we consier risk
Aon Retiree Health Exchange
2014 2015 Meicare Insurance Guie Aon Retiree Health Exchange Recommene by Why You Nee More Coverage I alreay have coverage. Aren t Meicare Parts A an B enough? For many people, Meicare alone oes not provie
Core Maths C2. Revision Notes
Core Maths C Revision Notes November 0 Core Maths C Algebra... Polnomials: +,,,.... Factorising... Long division... Remainder theorem... Factor theorem... 4 Choosing a suitable factor... 5 Cubic equations...
Polynomials. Jackie Nicholas Jacquie Hargreaves Janet Hunter
Mathematics Learning Centre Polnomials Jackie Nicholas Jacquie Hargreaves Janet Hunter c 26 Universit of Sdne Mathematics Learning Centre, Universit of Sdne 1 1 Polnomials Man of the functions we will
Section 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations
Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of
15.2. First-Order Linear Differential Equations. First-Order Linear Differential Equations Bernoulli Equations Applications
00 CHAPTER 5 Differential Equations SECTION 5. First-Orer Linear Differential Equations First-Orer Linear Differential Equations Bernoulli Equations Applications First-Orer Linear Differential Equations
Classifying Solutions to Systems of Equations
CONCEPT DEVELOPMENT Mathematics Assessment Project CLASSROOM CHALLENGES A Formative Assessment Lesson Classifing Solutions to Sstems of Equations Mathematics Assessment Resource Service Universit of Nottingham
Towards a Framework for Enterprise Architecture Frameworks Comparison and Selection
Towars a Framework for Enterprise Frameworks Comparison an Selection Saber Aballah Faculty of Computers an Information, Cairo University [email protected] Abstract A number of Enterprise Frameworks
Dynamic Network Security Deployment Under Partial Information
Dynamic Network Security Deployment Uner Partial nformation nvite Paper) George Theoorakopoulos EPFL Lausanne, Switzerlan Email: george.theoorakopoulos @ epfl.ch John S. Baras University of Marylan College
Product Differentiation for Software-as-a-Service Providers
University of Augsburg Prof. Dr. Hans Ulrich Buhl Research Center Finance & Information Management Department of Information Systems Engineering & Financial Management Discussion Paper WI-99 Prouct Differentiation
ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 12, June 2014
ISSN: 77-754 ISO 900:008 Certifie International Journal of Engineering an Innovative echnology (IJEI) Volume, Issue, June 04 Manufacturing process with isruption uner Quaratic Deman for Deteriorating Inventory
Calculating Viscous Flow: Velocity Profiles in Rivers and Pipes
previous inex next Calculating Viscous Flow: Velocity Profiles in Rivers an Pipes Michael Fowler, UVa 9/8/1 Introuction In this lecture, we ll erive the velocity istribution for two examples of laminar
To Be or Not To Be a Linear Equation: That Is the Question
To Be or Not To Be a Linear Equation: That Is the Question Linear Equation in Two Variables A linear equation in two variables is an equation that can be written in the form A + B C where A and B are not
RUNESTONE, an International Student Collaboration Project
RUNESTONE, an International Stuent Collaboration Project Mats Daniels 1, Marian Petre 2, Vicki Almstrum 3, Lars Asplun 1, Christina Björkman 1, Carl Erickson 4, Bruce Klein 4, an Mary Last 4 1 Department
The higher education factor: The role of higher education in the hiring and promotion practices in the fire service. By Nick Geis.
The higher eucation factor: The role of higher eucation in the hiring an promotion practices in the fire service. By Nick Geis Spring 2012 A paper submitte to the faculty of The University of North Carolina
Setting Up the Classroom for Independent Readers and Writers
Transforming our Teaching through Reaing/Writing Connections SESSION 4 ATAGLANCE Setting Up the Classroom for Inepenent Reaers an Writers AGENDA Engage, Reflect, Assess Discuss Professional Reaings: Align
Data Center Power System Reliability Beyond the 9 s: A Practical Approach
Data Center Power System Reliability Beyon the 9 s: A Practical Approach Bill Brown, P.E., Square D Critical Power Competency Center. Abstract Reliability has always been the focus of mission-critical
INCOME PROTECTION CLAIMS CLAIM FORM FOR THE SELF EMPLOYED
PENSIONS INvESTMENTS LIFE INSURANCE INCOME PROTECTION CLAIMS CLAIM FORM FOR THE SELF EMPLOYED If ou are an Emploe Person o not complete this form. Please ring our Insurance Broker or Irish Life irectl
Optimal Control Policy of a Production and Inventory System for multi-product in Segmented Market
RATIO MATHEMATICA 25 (2013), 29 46 ISSN:1592-7415 Optimal Control Policy of a Prouction an Inventory System for multi-prouct in Segmente Market Kuleep Chauhary, Yogener Singh, P. C. Jha Department of Operational
Cross-Over Analysis Using T-Tests
Chapter 35 Cross-Over Analysis Using -ests Introuction his proceure analyzes ata from a two-treatment, two-perio (x) cross-over esign. he response is assume to be a continuous ranom variable that follows
ú Ó Á É é ú ú É ú Á Á ú É É É ú É Ó É ó É Á ú ú ó Á Á ú Ó ú Ó ú É Á ú Á ú ó ú Á ú Á É Á Á Ó É Á ú ú é ú ú ú ú Á ú ó ú Ó Á Á Á Á ú ú ú é É ó é ó ú ú ú É é ú ú ú óú ú ú Ó Á ú ö é É ú ú ú úé ú ú É É Á É
Mathematical goals. Starting points. Materials required. Time needed
Level N of challenge: B N Mathematical goals Starting points Materials required Time needed Ordering fractions and decimals To help learners to: interpret decimals and fractions using scales and areas;
SAMPLE. Polynomial functions
Objectives C H A P T E R 4 Polnomial functions To be able to use the technique of equating coefficients. To introduce the functions of the form f () = a( + h) n + k and to sketch graphs of this form through
Elliptic Functions sn, cn, dn, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota
Elliptic Functions sn, cn, n, as Trigonometry W. Schwalm, Physics, Univ. N. Dakota Backgroun: Jacobi iscovere that rather than stuying elliptic integrals themselves, it is simpler to think of them as inverses
Professional Level Options Module, Paper P4(SGP)
Answers Professional Level Options Moule, Paper P4(SGP) Avance Financial Management (Singapore) December 2007 Answers Tutorial note: These moel answers are consierably longer an more etaile than woul be
Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines
EUROGRAPHICS 2000 / M. Gross an F.R.A. Hopgoo Volume 19, (2000), Number 3 (Guest Eitors) Unsteay Flow Visualization by Animating Evenly-Space Bruno Jobar an Wilfri Lefer Université u Littoral Côte Opale,
Linear Inequality in Two Variables
90 (7-) Chapter 7 Sstems of Linear Equations and Inequalities In this section 7.4 GRAPHING LINEAR INEQUALITIES IN TWO VARIABLES You studied linear equations and inequalities in one variable in Chapter.
The Impact of Forecasting Methods on Bullwhip Effect in Supply Chain Management
The Imact of Forecasting Methos on Bullwhi Effect in Suly Chain Management HX Sun, YT Ren Deartment of Inustrial an Systems Engineering, National University of Singaore, Singaore Schoo of Mechanical an
Use order of operations to simplify. Show all steps in the space provided below each problem. INTEGER OPERATIONS
ORDER OF OPERATIONS In the following order: 1) Work inside the grouping smbols such as parenthesis and brackets. ) Evaluate the powers. 3) Do the multiplication and/or division in order from left to right.
INVESTIGATIONS AND FUNCTIONS 1.1.1 1.1.4. Example 1
Chapter 1 INVESTIGATIONS AND FUNCTIONS 1.1.1 1.1.4 This opening section introduces the students to man of the big ideas of Algebra 2, as well as different was of thinking and various problem solving strategies.
Stock Market Value Prediction Using Neural Networks
Stock Market Value Preiction Using Neural Networks Mahi Pakaman Naeini IT & Computer Engineering Department Islamic Aza University Paran Branch e-mail: [email protected] Hamireza Taremian Engineering
Software Diversity for Information Security
for Information Security Pei-yu Chen, Gaurav Kataria an Ramayya Krishnan,3 Heinz School, Tepper School an 3 Cylab Carnegie Mellon University Abstract: In this paper we analyze a software iversification-base
Mathematical goals. Starting points. Materials required. Time needed
Level SS6 of challenge: B SS6 Mathematical goals Starting points Materials required Time needed Representing 3D shapes To enable learners to: interpret 2D representations of 3D shapes; analyse 3D shapes
Mandate-Based Health Reform and the Labor Market: Evidence from the Massachusetts Reform
Manate-Base Health Reform an the Labor Market: Evience from the Massachusetts Reform Jonathan T. Kolsta Wharton School, University of Pennsylvania an NBER Amana E. Kowalski Department of Economics, Yale
Gender Differences in Educational Attainment: The Case of University Students in England and Wales
Gener Differences in Eucational Attainment: The Case of University Stuents in Englan an Wales ROBERT MCNABB 1, SARMISTHA PAL 1, AND PETER SLOANE 2 ABSTRACT This paper examines the eterminants of gener
Modelling and Resolving Software Dependencies
June 15, 2005 Abstract Many Linux istributions an other moern operating systems feature the explicit eclaration of (often complex) epenency relationships between the pieces of software
! # % & ( ) +,,),. / 0 1 2 % ( 345 6, & 7 8 4 8 & & &&3 6
! # % & ( ) +,,),. / 0 1 2 % ( 345 6, & 7 8 4 8 & & &&3 6 9 Quality signposting : the role of online information prescription in proviing patient information Liz Brewster & Barbara Sen Information School,
I think that starting
. Graphs of Functions 69. GRAPHS OF FUNCTIONS One can envisage that mathematical theor will go on being elaborated and etended indefinitel. How strange that the results of just the first few centuries
y intercept Gradient Facts Lines that have the same gradient are PARALLEL
CORE Summar Notes Linear Graphs and Equations = m + c gradient = increase in increase in intercept Gradient Facts Lines that have the same gradient are PARALLEL If lines are PERPENDICULAR then m m = or
A New Evaluation Measure for Information Retrieval Systems
A New Evaluation Measure for Information Retrieval Systems Martin Mehlitz [email protected] Christian Bauckhage Deutsche Telekom Laboratories [email protected] Jérôme Kunegis [email protected]
Mathematics Review for Economists
Mathematics Review for Economists by John E. Floy University of Toronto May 9, 2013 This ocument presents a review of very basic mathematics for use by stuents who plan to stuy economics in grauate school
Trace IP Packets by Flexible Deterministic Packet Marking (FDPM)
Trace P Packets by Flexible Deterministic Packet Marking (F) Yang Xiang an Wanlei Zhou School of nformation Technology Deakin University Melbourne, Australia {yxi, wanlei}@eakin.eu.au Abstract- Currently
TO DETERMINE THE SHELF LIFE OF IBUPROFEN SOLUTION
TO DETERMINE THE SHELF LIFE OF IBUPROFEN SOLUTION AIM: To etermine the shelf life of solution using accelerate stability stuies. MATERIAL REQUIREMENT, ethanol, phenolphthalein, soium hyroxie (0.1N), glass
An Introduction to Event-triggered and Self-triggered Control
An Introuction to Event-triggere an Self-triggere Control W.P.M.H. Heemels K.H. Johansson P. Tabuaa Abstract Recent evelopments in computer an communication technologies have le to a new type of large-scale
Notes on tangents to parabolas
Notes on tangents to parabolas (These are notes for a talk I gave on 2007 March 30.) The point of this talk is not to publicize new results. The most recent material in it is the concept of Bézier curves,
Calibration of the broad band UV Radiometer
Calibration of the broa ban UV Raiometer Marian Morys an Daniel Berger Solar Light Co., Philaelphia, PA 19126 ABSTRACT Mounting concern about the ozone layer epletion an the potential ultraviolet exposure
Lines. We have learned that the graph of a linear equation. y = mx +b
Section 0. Lines We have learne that the graph of a linear equation = m +b is a nonvertical line with slope m an -intercept (0, b). We can also look at the angle that such a line makes with the -ais. This
Search Advertising Based Promotion Strategies for Online Retailers
Search Avertising Base Promotion Strategies for Online Retailers Amit Mehra The Inian School of Business yeraba, Inia Amit [email protected] ABSTRACT Web site aresses of small on line retailers are often unknown
Zeros of Polynomial Functions. The Fundamental Theorem of Algebra. The Fundamental Theorem of Algebra. zero in the complex number system.
_.qd /7/ 9:6 AM Page 69 Section. Zeros of Polnomial Functions 69. Zeros of Polnomial Functions What ou should learn Use the Fundamental Theorem of Algebra to determine the number of zeros of polnomial
Section 7.2 Linear Programming: The Graphical Method
Section 7.2 Linear Programming: The Graphical Method Man problems in business, science, and economics involve finding the optimal value of a function (for instance, the maimum value of the profit function
View Synthesis by Image Mapping and Interpolation
View Synthesis by Image Mapping an Interpolation Farris J. Halim Jesse S. Jin, School of Computer Science & Engineering, University of New South Wales Syney, NSW 05, Australia Basser epartment of Computer
Dendritic Cell Based Immunotherapy for Melanoma
Denritic Cell Base Immunotherapy for Melanoma Kun Dong University of California, Los Angeles Binan Gu University of Southern California Lucy Oom California State University, Fullerton Aparna Sarkar Pomona
