2 The Derivative. 2.0 Introduction to Derivatives. Slopes of Tangent Lines: Graphically

Size: px
Start display at page:

Download "2 The Derivative. 2.0 Introduction to Derivatives. Slopes of Tangent Lines: Graphically"

Transcription

1 2 Te Derivative Te two previous capters ave laid te foundation for te study of calculus. Tey provided a review of some material you will need and started to empasize te various ways we will view and use functions: functions given by graps, equations and tables of values. Capter 2 will focus on te idea of tangent lines. We will develop a definition for te derivative of a function and calculate derivatives of some functions using tis definition. Ten we will examine some of te properties of derivatives, see some relatively easy ways to calculate te derivatives, and begin to look at some ways we can use tem. 2.0 Introduction to Derivatives Tis section begins wit a very grapical approac to slopes of tangent lines. It ten examines te problem of finding te slopes of te tangent lines for a single function, y = x 2, in some detail and illustrates ow tese slopes can elp us solve fairly sopisticated problems. Slopes of Tangent Lines: Grapically Te figure in te margin sows te grap of a function y = f (x). We can use te information in te grap to fill in te table: x y = f (x) m(x) were m(x) is te (estimated) slope of te line tangent to te grap of y = f (x) at te point (x, y).

2 110 te derivative We can estimate te values of m(x) at some non-integer values of x as well: m(0.5) 0.5 and m(1.3) 0.3, for example. We can even say someting about te beavior of m(x) over entire intervals: if 0 < x < 1, ten m(x) is positive, for example. Te values of m(x) definitely depend on te values of x (te slope varies as x varies, and tere is at most one slope associated wit eac value of x) so m(x) is a function of x. We can use te results in te table to elp sketc te grap of te function m(x) (see te margin). Practice 1. Te grap of y = f (x) appears in te margin. Set up a table of (estimated) values for x and m(x), te slope of te line tangent to te grap of y = f (x) at te point (x, y), and ten sketc a grap of te function m(x). In some applications, we need to know were te grap of a function f (x) as orizontal tangent lines (tat is, were te slope of te tangent line = 0). In te margin figure, te slopes of te tangent lines to grap of y = f (x) are 0 wen x = 2 or x Practice 2. At wat values of x does te grap of y = g(x) (in te margin) ave orizontal tangent lines? Example 1. Te grap of te eigt of a rocket at time t appears in te margin. Sketc a grap of te velocity of te rocket at time t. (Remember from our previous work tat instantaneous velocity corresponds to te slope of te line tangent to te grap of position or eigt function.) Solution. Te last margin grap sows te velocity of te rocket. Practice 3. Te grap below sows te temperature during a summer day in Cicago. Sketc a grap of te rate at wic te temperature is canging at eac moment in time. (As wit instantaneous velocity, te instantaneous rate of cange for te temperature corresponds to te slope of te line tangent to te temperature grap.) Te function m(x), te slope of te line tangent to te grap of y = f (x) at (x, f (x)), is called te derivative of f (x).

3 2.0 introduction to derivatives 111 We used te idea of te slope of te tangent line all trougout Capter 1. In Section 2.1, we will formally define te derivative of a function and begin to examine some of its properties, but first let s see wat we can do wen we ave a formula for f (x). Tangents to y = x 2 Wen we ave a formula for a function, we can determine te slope of te tangent line at a point (x, f (x)) by calculating te slope of te secant line troug te points (x, f (x)) and (x +, f (x + )): msec = f (x + ) f (x) (x + ) (x) and ten taking te limit of msec as approaces 0: m tan msec f (x + ) f (x) (x + ) (x) Example 2. Find te slope of te line tangent to te grap of y = f (x) = x 2 at te point (2, 4). Solution. In tis example, x = 2, so x + = 2 + and f (x + ) = f (2 + ) = (2 + ) 2. Te slope of te tangent line at (2, 4) is m tan msec f (2 + ) f (2) (2 + ) (2) (2 + ) = 4 Te line tangent to y = x 2 at te point (2, 4) as slope 4. We can use te point-slope formula for a line to find an equation of tis tangent line: y y 0 = m(x x 0 ) y 4 = 4(x 2) y = 4x 4 Practice 4. Use te metod of Example 2 to sow tat te slope of te line tangent to te grap of y = f (x) = x 2 at te point (1, 1) is m tan = 2. Also find te values of m tan at (0, 0) and ( 1, 1). It is possible to compute te slopes of te tangent lines one point at a time, as we ave been doing, but tat is not very efficient. You sould ave noticed in Practice 4 tat te algebra for eac point was very similar, so let s do all te work just once, for an arbitrary point (x, f (x)) = (x, x 2 ) and ten use te general result to find te slopes at te particular points we re interested in.

4 112 te derivative Te slope of te line tangent to te grap of y = f (x) = x 2 at te arbitrary point (x, x 2 ) is: m tan msec (x + ) 2 x 2 2x + 2 f (x + ) f (x) (x + ) (x) x 2 + 2x + 2 x 2 2x + = 2x Te slope of te line tangent to te grap of y = f (x) = x 2 at te point (x, x 2 ) is m tan = 2x. We can use tis general result at any value of x witout going troug all of te calculations again. Te slope of te line tangent to y = f (x) = x 2 at te point (4, 16) is m tan = 2(4) = 8 and te slope at (p, p 2 ) is m tan = 2(p) = 2p. Te value of x determines te location of our point on te curve, (x, x 2 ), as well as te slope of te line tangent to te curve at tat point, m tan = 2x. Te slope m tan = 2x is a function of x and is called te derivative of y = x 2. Simply knowing tat te slope of te line tangent to te grap of y = x 2 is m tan = 2x at a point (x, y) can elp us quickly find an equation of te line tangent to te grap of y = x 2 at any point and answer a number of difficult-sounding questions. Example 3. Find equations of te lines tangent to y = x 2 at te points (3, 9) and (p, p 2 ). Solution. At (3, 9), te slope of te tangent line is 2x = 2(3) = 6, and te equation of te line is y 9 = 6(x 3) y = 6x 9. At (p, p 2 ), te slope of te tangent line is 2x = 2(p) = 2p, and te equation of te line is y p 2 = 2p(x p) y = 2px p 2. Example 4. A rocket as been programmed to follow te pat y = x 2 in space (from left to rigt along te curve, as seen in te margin figure), but an emergency as arisen and te crew must return to teir base, wic is located at coordinates (3, 5). At wat point on te pat y = x 2 sould te captain turn off te engines so tat te sip will coast along a pat tangent to te curve to return to te base? Solution. You migt spend a few minutes trying to solve tis problem witout using te relation m tan = 2x, but te problem is muc easier if we do use tat result. Let s assume tat te captain turns off te engine at te point (p, q) on te curve y = x 2 and ten try to determine wat values p and q must ave so tat te resulting tangent line to te curve will go troug te point (3, 5). Te point (p, q) is on te curve y = x 2, so q = p 2 and te equation of te tangent line, found in Example 3, must ten be y = 2px p 2.

5 2.0 introduction to derivatives 113 To find te value of p so tat te tangent line will go troug te point (3, 5), we can substitute te values x = 3 and y = 5 into te equation of te tangent line and solve for p: y = 2px p 2 5 = 2p(3) p 2 p 2 6p + 5 = 0 (p 1)(p 5) = 0 Te only solutions are p = 1 and p = 5, so te only possible points are (1, 1) and (5, 25). You can verify tat te tangent lines to y = x 2 at (1, 1) and (5, 25) bot go troug te point (3, 5). Because te sip is moving from left to rigt along te curve, te captain sould turn off te engines at te point (1, 1). (Wy not at (5, 25)?) Practice 5. Verify tat if te rocket engines in Example 4 are sut off at (2, 4), ten te rocket will go troug te point (3, 8). 2.0 Problems 1. Use te function f (x) graped below to fill in te table and ten grap m(x), te estimated slope of te tangent line to y = f (x) at te point (x, y). x f (x) m(x) x f (x) m(x) Use te function g(x) graped below to fill in te table and ten grap m(x), te estimated slope of te tangent line to y = g(x) at te point (x, y). x g(x) m(x) x g(x) m(x)

6 114 te derivative 3. (a) At wat values of x does te grap of f (sown below) ave a orizontal tangent line? (b) At wat value(s) of x is te value of f te largest? Smallest? (c) Sketc a grap of m(x), te slope of te line tangent to te grap of f at te point (x, f (x)). 6. Matc te situation descriptions wit te corresponding time-velocity graps sown below. (a) A car quickly leaving from a stop sign. (b) A car sedately leaving from a stop sign. (c) A student bouncing on a trampoline. (d) A ball trown straigt up. (e) A student confidently striding across campus to take a calculus test. (f) An unprepared student walking across campus to take a calculus test. 4. (a) At wat values of x does te grap of g (sown below) ave a orizontal tangent line? (b) At wat value(s) of x is te value of g te largest? Smallest? (c) Sketc a grap of m(x), te slope of te line tangent to te grap of g at te point (x, g(x)). Problems 7 10 assume tat a rocket is following te pat y = x 2, from left to rigt. 7. At wat point sould te engine be turned off in order to coast along te tangent line to a base at (5, 16)? 8. At (3, 7)? 9. At (1, 3)? 10. Wic points in te plane can not be reaced by te rocket? Wy not? In problems 11 16, perform tese steps: (a) Calculate and simplify: 5. (a) Sketc te grap of f (x) = sin(x) on te interval 3 x 10. (b) Sketc a grap of m(x), te slope of te line tangent to te grap of sin(x) at te point (x, sin(x)). (c) Your grap in part (b) sould look familiar. Wat function is it? msec = f (x + ) f (x) (x + ) (x) (b) Determine m tan msec. (c) Evaluate m tan at x = 2. (d) Find an equation of te line tangent to te grap of f at (2, f (2)). 11. f (x) = 3x f (x) = 2 7x

7 2.0 introduction to derivatives f (x) = ax + b were a and b are constants 14. f (x) = x 2 + 3x 15. f (x) = 8 3x f (x) = ax 2 + bx + c were a, b and c are constants In problems 17 18, use te result: f (x) = ax 2 + bx + c m tan = 2ax + b 17. Given f (x) = x 2 + 2x, at wic point(s) (p, f (p)) does te line tangent to te grap at tat point also go troug te point (3, 6)? 18. (a) If a = 0, ten wat is te sape of te grap of y = f (x) = ax 2 + bx + c? (b) At wat value(s) of x is te line tangent to te grap of f (x) orizontal? 2.0 Practice Answers 1. Approximate values of m(x) appear in te table in te margin; te margin figure sows a grap of m(x). x f (x) m(x) 2. Te tangent lines to te grap of g are orizontal (slope = 0) wen x 1, 1, 2.5 and Te figure below sows a grap of te approximate rate of temperature cange (slope) At (1, 1), te slope of te tangent line is: m tan msec f (1 + ) f (1) (1 + ) (1) (1 + ) = 2

8 116 te derivative so te line tangent to y = x 2 at te point (1, 1) as slope 2. At (0, 0): m tan msec f (0 + ) f (1) (0 + ) (0) (0 + ) = 2 lim = 0 so te line tangent to y = x 2 at te point (0, 0) as slope 0. At ( 1, 1): m tan msec ( 1 + ) 2 ( 1) f ( 1 + ) f ( 1) ( 1 + ) ( 1) = 2 so te line tangent to y = x 2 at te point ( 1, 1) as slope From Example 4 we know te slope of te tangent line is m tan = 2x, so te slope of te tangent line at (2, 4) is m tan = 2x = 2(2) = 4. Te tangent line as slope 4 and goes troug te point (2, 4), so an equation of te tangent line (using y y 0 = m(x x 0 )) is y 4 = 4(x 2) or y = 4x 4. Te point (3, 8) satisfies te equation y = 4x 4, so te point (3, 8) lies on te tangent line.

4.1 Tangent Lines. y 2 y 1 = y 2 y 1

4.1 Tangent Lines. y 2 y 1 = y 2 y 1 41 Tangent Lines Introduction Recall tat te slope of a line tells us ow fast te line rises or falls Given distinct points (x 1, y 1 ) and (x 2, y 2 ), te slope of te line troug tese two points is cange

More information

Section 1.2 The Slope of a Tangent

Section 1.2 The Slope of a Tangent Section 1.2 Te Slope of a Tangent You are familiar wit te concept of a tangent to a curve. Wat geometric interpretation can be given to a tangent to te grap of a function at a point? A tangent is te straigt

More information

13.5 DIRECTIONAL DERIVATIVES and the GRADIENT VECTOR

13.5 DIRECTIONAL DERIVATIVES and the GRADIENT VECTOR 13.5 Directional Derivatives and te Gradient Vector Contemporary Calculus 1 13.5 DIRECTIONAL DERIVATIVES and te GRADIENT VECTOR Directional Derivatives In Section 13.3 te partial derivatives f x and f

More information

MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2

MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2 MATH 5a Spring 2018 READING ASSIGNMENTS FOR CHAPTER 2 Note: Tere will be a very sort online reading quiz (WebWork) on eac reading assignment due one our before class on its due date. Due dates can be found

More information

2.8 The derivative as a function

2.8 The derivative as a function CHAPTER 2. LIMITS 56 2.8 Te derivative as a function Definition. Te derivative of f(x) istefunction f (x) defined as follows f f(x + ) f(x) (x). 0 Note: tis differs from te definition in section 2.7 in

More information

Materials: Whiteboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector.

Materials: Whiteboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector. Adam Clinc Lesson: Deriving te Derivative Grade Level: 12 t grade, Calculus I class Materials: Witeboard, TI-Nspire classroom set, quadratic tangents program, and a computer projector. Goals/Objectives:

More information

You should be able to visually approximate the slope of a graph. The slope m of the graph of f at the point x, f x is given by

You should be able to visually approximate the slope of a graph. The slope m of the graph of f at the point x, f x is given by Section. Te Tangent Line Problem 89 87. r 5 sin, e, 88. r sin sin Parabola 9 9 Hperbola e 9 9 9 89. 7,,,, 5 7 8 5 ortogonal 9. 5, 5,, 5, 5. Not multiples of eac oter; neiter parallel nor ortogonal 9.,,,

More information

4.2 The Derivative. f(x + h) f(x) lim

4.2 The Derivative. f(x + h) f(x) lim 4.2 Te Derivative Introduction In te previous section, it was sown tat if a function f as a nonvertical tangent line at a point (x, f(x)), ten its slope is given by te it f(x + ) f(x). (*) Tis is potentially

More information

More on Functions and Their Graphs

More on Functions and Their Graphs More on Functions and Teir Graps Difference Quotient ( + ) ( ) f a f a is known as te difference quotient and is used exclusively wit functions. Te objective to keep in mind is to factor te appearing in

More information

3.6 Directional Derivatives and the Gradient Vector

3.6 Directional Derivatives and the Gradient Vector 288 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES 3.6 Directional Derivatives and te Gradient Vector 3.6.1 Functions of two Variables Directional Derivatives Let us first quickly review, one more time, te

More information

Section 2.3: Calculating Limits using the Limit Laws

Section 2.3: Calculating Limits using the Limit Laws Section 2.3: Calculating Limits using te Limit Laws In previous sections, we used graps and numerics to approimate te value of a it if it eists. Te problem wit tis owever is tat it does not always give

More information

12.2 TECHNIQUES FOR EVALUATING LIMITS

12.2 TECHNIQUES FOR EVALUATING LIMITS Section Tecniques for Evaluating Limits 86 TECHNIQUES FOR EVALUATING LIMITS Wat ou sould learn Use te dividing out tecnique to evaluate its of functions Use te rationalizing tecnique to evaluate its of

More information

12.2 Techniques for Evaluating Limits

12.2 Techniques for Evaluating Limits 335_qd /4/5 :5 PM Page 863 Section Tecniques for Evaluating Limits 863 Tecniques for Evaluating Limits Wat ou sould learn Use te dividing out tecnique to evaluate its of functions Use te rationalizing

More information

19.2 Surface Area of Prisms and Cylinders

19.2 Surface Area of Prisms and Cylinders Name Class Date 19 Surface Area of Prisms and Cylinders Essential Question: How can you find te surface area of a prism or cylinder? Resource Locker Explore Developing a Surface Area Formula Surface area

More information

Lesson 6 MA Nick Egbert

Lesson 6 MA Nick Egbert Overview From kindergarten we all know ow to find te slope of a line: rise over run, or cange in over cange in. We want to be able to determine slopes of functions wic are not lines. To do tis we use te

More information

8/6/2010 Assignment Previewer

8/6/2010 Assignment Previewer Week 4 Friday Homework (1321979) Question 1234567891011121314151617181920 1. Question DetailsSCalcET6 2.7.003. [1287988] Consider te parabola y 7x - x 2. (a) Find te slope of te tangent line to te parabola

More information

Piecewise Polynomial Interpolation, cont d

Piecewise Polynomial Interpolation, cont d Jim Lambers MAT 460/560 Fall Semester 2009-0 Lecture 2 Notes Tese notes correspond to Section 4 in te text Piecewise Polynomial Interpolation, cont d Constructing Cubic Splines, cont d Having determined

More information

12.2 Investigate Surface Area

12.2 Investigate Surface Area Investigating g Geometry ACTIVITY Use before Lesson 12.2 12.2 Investigate Surface Area MATERIALS grap paper scissors tape Q U E S T I O N How can you find te surface area of a polyedron? A net is a pattern

More information

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number

Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Bounding Tree Cover Number and Positive Semidefinite Zero Forcing Number Sofia Burille Mentor: Micael Natanson September 15, 2014 Abstract Given a grap, G, wit a set of vertices, v, and edges, various

More information

1.4 RATIONAL EXPRESSIONS

1.4 RATIONAL EXPRESSIONS 6 CHAPTER Fundamentals.4 RATIONAL EXPRESSIONS Te Domain of an Algebraic Epression Simplifying Rational Epressions Multiplying and Dividing Rational Epressions Adding and Subtracting Rational Epressions

More information

Limits and Continuity

Limits and Continuity CHAPTER Limits and Continuit. Rates of Cange and Limits. Limits Involving Infinit.3 Continuit.4 Rates of Cange and Tangent Lines An Economic Injur Level (EIL) is a measurement of te fewest number of insect

More information

Haar Transform CS 430 Denbigh Starkey

Haar Transform CS 430 Denbigh Starkey Haar Transform CS Denbig Starkey. Background. Computing te transform. Restoring te original image from te transform 7. Producing te transform matrix 8 5. Using Haar for lossless compression 6. Using Haar

More information

CHAPTER 7: TRANSCENDENTAL FUNCTIONS

CHAPTER 7: TRANSCENDENTAL FUNCTIONS 7.0 Introduction and One to one Functions Contemporary Calculus 1 CHAPTER 7: TRANSCENDENTAL FUNCTIONS Introduction In te previous capters we saw ow to calculate and use te derivatives and integrals of

More information

5.4 Sum and Difference Formulas

5.4 Sum and Difference Formulas 380 Capter 5 Analtic Trigonometr 5. Sum and Difference Formulas Using Sum and Difference Formulas In tis section and te following section, ou will stud te uses of several trigonometric identities and formulas.

More information

z = x 2 xy + y 2 clf // c6.1(2)contour Change to make a contour plot of z=xy.

z = x 2 xy + y 2 clf // c6.1(2)contour Change to make a contour plot of z=xy. 190 Lecture 6 3D equations formatting Open Lecture 6. See Capter 3, 10 of text for details. Draw a contour grap and a 3D grap of z = 1 x 2 y 2 = an upper emispere. For Classwork 1 and 2, you will grap

More information

Classify solids. Find volumes of prisms and cylinders.

Classify solids. Find volumes of prisms and cylinders. 11.4 Volumes of Prisms and Cylinders Essential Question How can you find te volume of a prism or cylinder tat is not a rigt prism or rigt cylinder? Recall tat te volume V of a rigt prism or a rigt cylinder

More information

Measuring Length 11and Area

Measuring Length 11and Area Measuring Lengt 11and Area 11.1 Areas of Triangles and Parallelograms 11.2 Areas of Trapezoids, Romuses, and Kites 11.3 Perimeter and Area of Similar Figures 11.4 Circumference and Arc Lengt 11.5 Areas

More information

Chapter K. Geometric Optics. Blinn College - Physics Terry Honan

Chapter K. Geometric Optics. Blinn College - Physics Terry Honan Capter K Geometric Optics Blinn College - Pysics 2426 - Terry Honan K. - Properties of Ligt Te Speed of Ligt Te speed of ligt in a vacuum is approximately c > 3.0µ0 8 mês. Because of its most fundamental

More information

Notes: Dimensional Analysis / Conversions

Notes: Dimensional Analysis / Conversions Wat is a unit system? A unit system is a metod of taking a measurement. Simple as tat. We ave units for distance, time, temperature, pressure, energy, mass, and many more. Wy is it important to ave a standard?

More information

MAC-CPTM Situations Project

MAC-CPTM Situations Project raft o not use witout permission -P ituations Project ituation 20: rea of Plane Figures Prompt teacer in a geometry class introduces formulas for te areas of parallelograms, trapezoids, and romi. e removes

More information

Interference and Diffraction of Light

Interference and Diffraction of Light Interference and Diffraction of Ligt References: [1] A.P. Frenc: Vibrations and Waves, Norton Publ. 1971, Capter 8, p. 280-297 [2] PASCO Interference and Diffraction EX-9918 guide (written by Ann Hanks)

More information

Fault Localization Using Tarantula

Fault Localization Using Tarantula Class 20 Fault localization (cont d) Test-data generation Exam review: Nov 3, after class to :30 Responsible for all material up troug Nov 3 (troug test-data generation) Send questions beforeand so all

More information

All truths are easy to understand once they are discovered; the point is to discover them. Galileo

All truths are easy to understand once they are discovered; the point is to discover them. Galileo Section 7. olume All truts are easy to understand once tey are discovered; te point is to discover tem. Galileo Te main topic of tis section is volume. You will specifically look at ow to find te volume

More information

NOTES: A quick overview of 2-D geometry

NOTES: A quick overview of 2-D geometry NOTES: A quick overview of 2-D geometry Wat is 2-D geometry? Also called plane geometry, it s te geometry tat deals wit two dimensional sapes flat tings tat ave lengt and widt, suc as a piece of paper.

More information

When the dimensions of a solid increase by a factor of k, how does the surface area change? How does the volume change?

When the dimensions of a solid increase by a factor of k, how does the surface area change? How does the volume change? 8.4 Surface Areas and Volumes of Similar Solids Wen te dimensions of a solid increase by a factor of k, ow does te surface area cange? How does te volume cange? 1 ACTIVITY: Comparing Surface Areas and

More information

THANK YOU FOR YOUR PURCHASE!

THANK YOU FOR YOUR PURCHASE! THANK YOU FOR YOUR PURCHASE! Te resources included in tis purcase were designed and created by me. I ope tat you find tis resource elpful in your classroom. Please feel free to contact me wit any questions

More information

Linear Interpolating Splines

Linear Interpolating Splines Jim Lambers MAT 772 Fall Semester 2010-11 Lecture 17 Notes Tese notes correspond to Sections 112, 11, and 114 in te text Linear Interpolating Splines We ave seen tat ig-degree polynomial interpolation

More information

The Euler and trapezoidal stencils to solve d d x y x = f x, y x

The Euler and trapezoidal stencils to solve d d x y x = f x, y x restart; Te Euler and trapezoidal stencils to solve d d x y x = y x Te purpose of tis workseet is to derive te tree simplest numerical stencils to solve te first order d equation y x d x = y x, and study

More information

Section 3. Imaging With A Thin Lens

Section 3. Imaging With A Thin Lens Section 3 Imaging Wit A Tin Lens 3- at Ininity An object at ininity produces a set o collimated set o rays entering te optical system. Consider te rays rom a inite object located on te axis. Wen te object

More information

( )( ) ( ) MTH 95 Practice Test 1 Key = 1+ x = f x. g. ( ) ( ) The only zero of f is 7 2. The only solution to g( x ) = 4 is 2.

( )( ) ( ) MTH 95 Practice Test 1 Key = 1+ x = f x. g. ( ) ( ) The only zero of f is 7 2. The only solution to g( x ) = 4 is 2. Mr. Simonds MTH 95 Class MTH 95 Practice Test 1 Key 1. a. g ( ) ( ) + 4( ) 4 1 c. f ( x) 7 7 7 x 14 e. + 7 + + 4 f g 1+ g. f 4 + 4 7 + 1+ i. g ( 4) ( 4) + 4( 4) k. g( x) x 16 + 16 0 x 4 + 4 4 0 x 4x+ 4

More information

VOLUMES. The volume of a cylinder is determined by multiplying the cross sectional area by the height. r h V. a) 10 mm 25 mm.

VOLUMES. The volume of a cylinder is determined by multiplying the cross sectional area by the height. r h V. a) 10 mm 25 mm. OLUME OF A CYLINDER OLUMES Te volume of a cylinder is determined by multiplying te cross sectional area by te eigt. r Were: = volume r = radius = eigt Exercise 1 Complete te table ( =.14) r a) 10 mm 5

More information

Algebra Area of Triangles

Algebra Area of Triangles LESSON 0.3 Algera Area of Triangles FOCUS COHERENCE RIGOR LESSON AT A GLANCE F C R Focus: Common Core State Standards Learning Ojective 6.G.A. Find te area of rigt triangles, oter triangles, special quadrilaterals,

More information

6 Computing Derivatives the Quick and Easy Way

6 Computing Derivatives the Quick and Easy Way Jay Daigle Occiental College Mat 4: Calculus Experience 6 Computing Derivatives te Quick an Easy Way In te previous section we talke about wat te erivative is, an we compute several examples, an ten we

More information

( ) ( ) Mat 241 Homework Set 5 Due Professor David Schultz. x y. 9 4 The domain is the interior of the hyperbola.

( ) ( ) Mat 241 Homework Set 5 Due Professor David Schultz. x y. 9 4 The domain is the interior of the hyperbola. Mat 4 Homework Set 5 Due Professor David Scultz Directions: Sow all algebraic steps neatly and concisely using proper matematical symbolism. Wen graps and tecnology are to be implemented, do so appropriately.

More information

15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes

15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes 15-122: Principles of Imperative Computation, Summer 2011 Assignment 6: Trees and Secret Codes William Lovas (wlovas@cs) Karl Naden Out: Tuesday, Friday, June 10, 2011 Due: Monday, June 13, 2011 (Written

More information

MTH-112 Quiz 1 - Solutions

MTH-112 Quiz 1 - Solutions MTH- Quiz - Solutions Words in italics are for eplanation purposes onl (not necessar to write in te tests or. Determine weter te given relation is a function. Give te domain and range of te relation. {(,

More information

EXERCISES 6.1. Cross-Sectional Areas. 6.1 Volumes by Slicing and Rotation About an Axis 405

EXERCISES 6.1. Cross-Sectional Areas. 6.1 Volumes by Slicing and Rotation About an Axis 405 6. Volumes b Slicing and Rotation About an Ais 5 EXERCISES 6. Cross-Sectional Areas In Eercises and, find a formula for te area A() of te crosssections of te solid perpendicular to te -ais.. Te solid lies

More information

Areas of Parallelograms and Triangles. To find the area of parallelograms and triangles

Areas of Parallelograms and Triangles. To find the area of parallelograms and triangles 10-1 reas of Parallelograms and Triangles ommon ore State Standards G-MG..1 Use geometric sapes, teir measures, and teir properties to descrie ojects. G-GPE..7 Use coordinates to compute perimeters of

More information

, 1 1, A complex fraction is a quotient of rational expressions (including their sums) that result

, 1 1, A complex fraction is a quotient of rational expressions (including their sums) that result RT. Complex Fractions Wen working wit algebraic expressions, sometimes we come across needing to simplify expressions like tese: xx 9 xx +, xx + xx + xx, yy xx + xx + +, aa Simplifying Complex Fractions

More information

MAPI Computer Vision

MAPI Computer Vision MAPI Computer Vision Multiple View Geometry In tis module we intend to present several tecniques in te domain of te 3D vision Manuel Joao University of Mino Dep Industrial Electronics - Applications -

More information

11. Transceiver Link Debugging Using the System Console

11. Transceiver Link Debugging Using the System Console November 2011 QII53029-11.1.0 11. Transceiver Link Debugging Using te System Console QII53029-11.1.0 Tis capter describes ow to use te Transceiver Toolkit in te Quartus II sotware. Te Transceiver Toolkit

More information

CS 234. Module 6. October 16, CS 234 Module 6 ADT Dictionary 1 / 33

CS 234. Module 6. October 16, CS 234 Module 6 ADT Dictionary 1 / 33 CS 234 Module 6 October 16, 2018 CS 234 Module 6 ADT Dictionary 1 / 33 Idea for an ADT Te ADT Dictionary stores pairs (key, element), were keys are distinct and elements can be any data. Notes: Tis is

More information

CE 221 Data Structures and Algorithms

CE 221 Data Structures and Algorithms CE Data Structures and Algoritms Capter 4: Trees (AVL Trees) Text: Read Weiss, 4.4 Izmir University of Economics AVL Trees An AVL (Adelson-Velskii and Landis) tree is a binary searc tree wit a balance

More information

Vector Processing Contours

Vector Processing Contours Vector Processing Contours Andrey Kirsanov Department of Automation and Control Processes MAMI Moscow State Tecnical University Moscow, Russia AndKirsanov@yandex.ru A.Vavilin and K-H. Jo Department of

More information

Communicator for Mac Quick Start Guide

Communicator for Mac Quick Start Guide Communicator for Mac Quick Start Guide 503-968-8908 sterling.net training@sterling.net Pone Support 503.968.8908, option 2 pone-support@sterling.net For te most effective support, please provide your main

More information

2.3 Additional Relations

2.3 Additional Relations 3 2.3 Additional Relations Figure 2.3 identiies additional relations, indicating te locations o te object and image, and te ratio o teir eigts (magniication) and orientations. Ray enters te lens parallel

More information

CESILA: Communication Circle External Square Intersection-Based WSN Localization Algorithm

CESILA: Communication Circle External Square Intersection-Based WSN Localization Algorithm Sensors & Transducers 2013 by IFSA ttp://www.sensorsportal.com CESILA: Communication Circle External Square Intersection-Based WSN Localization Algoritm Sun Hongyu, Fang Ziyi, Qu Guannan College of Computer

More information

ANTENNA SPHERICAL COORDINATE SYSTEMS AND THEIR APPLICATION IN COMBINING RESULTS FROM DIFFERENT ANTENNA ORIENTATIONS

ANTENNA SPHERICAL COORDINATE SYSTEMS AND THEIR APPLICATION IN COMBINING RESULTS FROM DIFFERENT ANTENNA ORIENTATIONS NTNN SPHRICL COORDINT SSTMS ND THIR PPLICTION IN COMBINING RSULTS FROM DIFFRNT NTNN ORINTTIONS llen C. Newell, Greg Hindman Nearfield Systems Incorporated 133. 223 rd St. Bldg. 524 Carson, C 9745 US BSTRCT

More information

Cubic smoothing spline

Cubic smoothing spline Cubic smooting spline Menu: QCExpert Regression Cubic spline e module Cubic Spline is used to fit any functional regression curve troug data wit one independent variable x and one dependent random variable

More information

1 Finding Trigonometric Derivatives

1 Finding Trigonometric Derivatives MTH 121 Fall 2008 Essex County College Division of Matematics Hanout Version 8 1 October 2, 2008 1 Fining Trigonometric Derivatives 1.1 Te Derivative as a Function Te efinition of te erivative as a function

More information

The (, D) and (, N) problems in double-step digraphs with unilateral distance

The (, D) and (, N) problems in double-step digraphs with unilateral distance Electronic Journal of Grap Teory and Applications () (), Te (, D) and (, N) problems in double-step digraps wit unilateral distance C Dalfó, MA Fiol Departament de Matemàtica Aplicada IV Universitat Politècnica

More information

Numerical Derivatives

Numerical Derivatives Lab 15 Numerical Derivatives Lab Objective: Understand and implement finite difference approximations of te derivative in single and multiple dimensions. Evaluate te accuracy of tese approximations. Ten

More information

each node in the tree, the difference in height of its two subtrees is at the most p. AVL tree is a BST that is height-balanced-1-tree.

each node in the tree, the difference in height of its two subtrees is at the most p. AVL tree is a BST that is height-balanced-1-tree. Data Structures CSC212 1 AVL Trees A binary tree is a eigt-balanced-p-tree if for eac node in te tree, te difference in eigt of its two subtrees is at te most p. AVL tree is a BST tat is eigt-balanced-tree.

More information

CSE 332: Data Structures & Parallelism Lecture 8: AVL Trees. Ruth Anderson Winter 2019

CSE 332: Data Structures & Parallelism Lecture 8: AVL Trees. Ruth Anderson Winter 2019 CSE 2: Data Structures & Parallelism Lecture 8: AVL Trees Rut Anderson Winter 29 Today Dictionaries AVL Trees /25/29 2 Te AVL Balance Condition: Left and rigt subtrees of every node ave eigts differing

More information

Areas of Triangles and Parallelograms. Bases of a parallelogram. Height of a parallelogram THEOREM 11.3: AREA OF A TRIANGLE. a and its corresponding.

Areas of Triangles and Parallelograms. Bases of a parallelogram. Height of a parallelogram THEOREM 11.3: AREA OF A TRIANGLE. a and its corresponding. 11.1 Areas of Triangles and Parallelograms Goal p Find areas of triangles and parallelograms. Your Notes VOCABULARY Bases of a parallelogram Heigt of a parallelogram POSTULATE 4: AREA OF A SQUARE POSTULATE

More information

You Try: A. Dilate the following figure using a scale factor of 2 with center of dilation at the origin.

You Try: A. Dilate the following figure using a scale factor of 2 with center of dilation at the origin. 1 G.SRT.1-Some Tings To Know Dilations affect te size of te pre-image. Te pre-image will enlarge or reduce by te ratio given by te scale factor. A dilation wit a scale factor of 1> x >1enlarges it. A dilation

More information

Introduction to Computer Graphics 5. Clipping

Introduction to Computer Graphics 5. Clipping Introduction to Computer Grapics 5. Clipping I-Cen Lin, Assistant Professor National Ciao Tung Univ., Taiwan Textbook: E.Angel, Interactive Computer Grapics, 5 t Ed., Addison Wesley Ref:Hearn and Baker,

More information

Investigating an automated method for the sensitivity analysis of functions

Investigating an automated method for the sensitivity analysis of functions Investigating an automated metod for te sensitivity analysis of functions Sibel EKER s.eker@student.tudelft.nl Jill SLINGER j..slinger@tudelft.nl Delft University of Tecnology 2628 BX, Delft, te Neterlands

More information

θ R = θ 0 (1) -The refraction law says that: the direction of refracted ray (angle θ 1 from vertical) is (2)

θ R = θ 0 (1) -The refraction law says that: the direction of refracted ray (angle θ 1 from vertical) is (2) LIGHT (Basic information) - Considering te ligt of a projector in a smoky room, one gets to geometrical optics model of ligt as a set of tiny particles tat travel along straigt lines called "optical rays.

More information

Non-Interferometric Testing

Non-Interferometric Testing NonInterferometric Testing.nb Optics 513 - James C. Wyant 1 Non-Interferometric Testing Introduction In tese notes four non-interferometric tests are described: (1) te Sack-Hartmann test, (2) te Foucault

More information

A Cost Model for Distributed Shared Memory. Using Competitive Update. Jai-Hoon Kim Nitin H. Vaidya. Department of Computer Science

A Cost Model for Distributed Shared Memory. Using Competitive Update. Jai-Hoon Kim Nitin H. Vaidya. Department of Computer Science A Cost Model for Distributed Sared Memory Using Competitive Update Jai-Hoon Kim Nitin H. Vaidya Department of Computer Science Texas A&M University College Station, Texas, 77843-3112, USA E-mail: fjkim,vaidyag@cs.tamu.edu

More information

PLK-B SERIES Technical Manual (USA Version) CLICK HERE FOR CONTENTS

PLK-B SERIES Technical Manual (USA Version) CLICK HERE FOR CONTENTS PLK-B SERIES Technical Manual (USA Version) CLICK ERE FOR CONTENTS CONTROL BOX PANEL MOST COMMONLY USED FUNCTIONS INITIAL READING OF SYSTEM SOFTWARE/PAGES 1-2 RE-INSTALLATION OF TE SYSTEM SOFTWARE/PAGES

More information

A UPnP-based Decentralized Service Discovery Improved Algorithm

A UPnP-based Decentralized Service Discovery Improved Algorithm Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol.1, No.1, Marc 2013, pp. 21~26 ISSN: 2089-3272 21 A UPnP-based Decentralized Service Discovery Improved Algoritm Yu Si-cai*, Wu Yan-zi,

More information

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Spring

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Spring Has-Based Indexes Capter 11 Comp 521 Files and Databases Spring 2010 1 Introduction As for any index, 3 alternatives for data entries k*: Data record wit key value k

More information

CSCE476/876 Spring Homework 5

CSCE476/876 Spring Homework 5 CSCE476/876 Spring 2016 Assigned on: Friday, Marc 11, 2016 Due: Monday, Marc 28, 2016 Homework 5 Programming assignment sould be submitted wit andin Te report can eiter be submitted wit andin as a PDF,

More information

Capacity on Demand User s Guide

Capacity on Demand User s Guide System z Capacity on Demand User s Guide SC28-6846-02 Level 02c, October 2009 System z Capacity on Demand User s Guide SC28-6846-02 Level 02c, October 2009 Note Before using tis information and te product

More information

Affine and Projective Transformations

Affine and Projective Transformations CS 674: Intro to Computer Vision Affine and Projective Transformations Prof. Adriana Kovaska Universit of Pittsburg October 3, 26 Alignment problem We previousl discussed ow to matc features across images,

More information

CHAPTER The elevation can be determined as. The partial derivatives can be evaluated,

CHAPTER The elevation can be determined as. The partial derivatives can be evaluated, 1 CHAPTER 14 14.1 Te elevation can be determined as (.8,1. (.81. 1.5(1. 1.5(.8 Te partial derivatives can be evaluated,.5 (1..5(.8.4 1.5 4 (.8 1.5 4(1. 1.7 (1. 5 5.4 wic can be used to determine te gradient

More information

Fourth-order NMO velocity for P-waves in layered orthorhombic media vs. offset-azimuth

Fourth-order NMO velocity for P-waves in layered orthorhombic media vs. offset-azimuth Fourt-order NMO velocity for P-waves in layered orrombic media vs. set-azimut Zvi Koren* and Igor Ravve Paradigm Geopysical Summary We derive te fourt-order NMO velocity of compressional waves for a multi-layer

More information

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Fall

Hash-Based Indexes. Chapter 11. Comp 521 Files and Databases Fall Has-Based Indexes Capter 11 Comp 521 Files and Databases Fall 2012 1 Introduction Hasing maps a searc key directly to te pid of te containing page/page-overflow cain Doesn t require intermediate page fetces

More information

On the use of FHT, its modification for practical applications and the structure of Hough image

On the use of FHT, its modification for practical applications and the structure of Hough image On te use of FHT, its modification for practical applications and te structure of Houg image M. Aliev 1,3, E.I. Ersov, D.P. Nikolaev,3 1 Federal Researc Center Computer Science and Control of Russian Academy

More information

Redundancy Awareness in SQL Queries

Redundancy Awareness in SQL Queries Redundancy Awareness in QL Queries Bin ao and Antonio Badia omputer Engineering and omputer cience Department University of Louisville bin.cao,abadia @louisville.edu Abstract In tis paper, we study QL

More information

VideoText Interactive

VideoText Interactive VideoText Interactive Homescool and Independent Study Sampler Print Materials for Geometry: A Complete Course Unit I, Part C, Lesson 3 Triangles ------------------------------------------ Course Notes

More information

2.5 Evaluating Limits Algebraically

2.5 Evaluating Limits Algebraically SECTION.5 Evaluating Limits Algebraically 3.5 Evaluating Limits Algebraically Preinary Questions. Wic of te following is indeterminate at x? x C x ; x x C ; x x C 3 ; x C x C 3 At x, x isofteform 0 xc3

More information

Data Structures and Programming Spring 2014, Midterm Exam.

Data Structures and Programming Spring 2014, Midterm Exam. Data Structures and Programming Spring 2014, Midterm Exam. 1. (10 pts) Order te following functions 2.2 n, log(n 10 ), 2 2012, 25n log(n), 1.1 n, 2n 5.5, 4 log(n), 2 10, n 1.02, 5n 5, 76n, 8n 5 + 5n 2

More information

Multi-Stack Boundary Labeling Problems

Multi-Stack Boundary Labeling Problems Multi-Stack Boundary Labeling Problems Micael A. Bekos 1, Micael Kaufmann 2, Katerina Potika 1 Antonios Symvonis 1 1 National Tecnical University of Atens, Scool of Applied Matematical & Pysical Sciences,

More information

Nonprehensile Manipulation for Orienting Parts in the Plane

Nonprehensile Manipulation for Orienting Parts in the Plane Nonpreensile Manipulation for Orienting Parts in te Plane Nina B. Zumel Robotics Institute Carnegie Mellon University zumel@ri.cmu.edu Micael A. Erdmann Robotics Institute and Scool of Computer Science

More information

2D transformations Homogeneous coordinates. Uses of Transformations

2D transformations Homogeneous coordinates. Uses of Transformations 2D transformations omogeneous coordinates Uses of Transformations Modeling: position and resize parts of a complex model; Viewing: define and position te virtual camera Animation: define ow objects move/cange

More information

THE POSSIBILITY OF ESTIMATING THE VOLUME OF A SQUARE FRUSTRUM USING THE KNOWN VOLUME OF A CONICAL FRUSTRUM

THE POSSIBILITY OF ESTIMATING THE VOLUME OF A SQUARE FRUSTRUM USING THE KNOWN VOLUME OF A CONICAL FRUSTRUM THE POSSIBILITY OF ESTIMATING THE VOLUME OF A SQUARE FRUSTRUM USING THE KNOWN VOLUME OF A CONICAL FRUSTRUM SAMUEL OLU OLAGUNJU Adeyemi College of Education NIGERIA Email: lagsam04@aceondo.edu.ng ABSTRACT

More information

Tilings of rectangles with T-tetrominoes

Tilings of rectangles with T-tetrominoes Tilings of rectangles wit T-tetrominoes Micael Korn and Igor Pak Department of Matematics Massacusetts Institute of Tecnology Cambridge, MA, 2139 mikekorn@mit.edu, pak@mat.mit.edu August 26, 23 Abstract

More information

Some Handwritten Signature Parameters in Biometric Recognition Process

Some Handwritten Signature Parameters in Biometric Recognition Process Some Handwritten Signature Parameters in Biometric Recognition Process Piotr Porwik Institute of Informatics, Silesian Uniersity, Bdziska 39, 41- Sosnowiec, Poland porwik@us.edu.pl Tomasz Para Institute

More information

Comparison of the Efficiency of the Various Algorithms in Stratified Sampling when the Initial Solutions are Determined with Geometric Method

Comparison of the Efficiency of the Various Algorithms in Stratified Sampling when the Initial Solutions are Determined with Geometric Method International Journal of Statistics and Applications 0, (): -0 DOI: 0.9/j.statistics.000.0 Comparison of te Efficiency of te Various Algoritms in Stratified Sampling wen te Initial Solutions are Determined

More information

AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic

AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic 1 AVL Trees Outline and Required Reading: AVL Trees ( 11.2) CSE 2011, Winter 2017 Instructor: N. Vlajic AVL Trees 2 Binary Searc Trees better tan linear dictionaries; owever, te worst case performance

More information

1 Copyright 2012 by Pearson Education, Inc. All Rights Reserved.

1 Copyright 2012 by Pearson Education, Inc. All Rights Reserved. CHAPTER 20 AVL Trees Objectives To know wat an AVL tree is ( 20.1). To understand ow to rebalance a tree using te LL rotation, LR rotation, RR rotation, and RL rotation ( 20.2). To know ow to design te

More information

MAP MOSAICKING WITH DISSIMILAR PROJECTIONS, SPATIAL RESOLUTIONS, DATA TYPES AND NUMBER OF BANDS 1. INTRODUCTION

MAP MOSAICKING WITH DISSIMILAR PROJECTIONS, SPATIAL RESOLUTIONS, DATA TYPES AND NUMBER OF BANDS 1. INTRODUCTION MP MOSICKING WITH DISSIMILR PROJECTIONS, SPTIL RESOLUTIONS, DT TYPES ND NUMBER OF BNDS Tyler J. lumbaug and Peter Bajcsy National Center for Supercomputing pplications 605 East Springfield venue, Campaign,

More information

Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs

Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs Parallel Simulation of Equation-Based Models on CUDA-Enabled GPUs Per Ostlund Department of Computer and Information Science Linkoping University SE-58183 Linkoping, Sweden per.ostlund@liu.se Kristian

More information

Wrap up Amortized Analysis; AVL Trees. Riley Porter Winter CSE373: Data Structures & Algorithms

Wrap up Amortized Analysis; AVL Trees. Riley Porter Winter CSE373: Data Structures & Algorithms CSE 373: Data Structures & Wrap up Amortized Analysis; AVL Trees Riley Porter Course Logistics Symposium offered by CSE department today HW2 released, Big- O, Heaps (lecture slides ave pseudocode tat will

More information

When a BST becomes badly unbalanced, the search behavior can degenerate to that of a sorted linked list, O(N).

When a BST becomes badly unbalanced, the search behavior can degenerate to that of a sorted linked list, O(N). Balanced Binary Trees Binary searc trees provide O(log N) searc times provided tat te nodes are distributed in a reasonably balanced manner. Unfortunately, tat is not always te case and performing a sequence

More information

Fast Calculation of Thermodynamic Properties of Water and Steam in Process Modelling using Spline Interpolation

Fast Calculation of Thermodynamic Properties of Water and Steam in Process Modelling using Spline Interpolation P R E P R N T CPWS XV Berlin, September 8, 008 Fast Calculation of Termodynamic Properties of Water and Steam in Process Modelling using Spline nterpolation Mattias Kunick a, Hans-Joacim Kretzscmar a,

More information

Our Calibrated Model has No Predictive Value: An Example from the Petroleum Industry

Our Calibrated Model has No Predictive Value: An Example from the Petroleum Industry Our Calibrated Model as No Predictive Value: An Example from te Petroleum Industry J.N. Carter a, P.J. Ballester a, Z. Tavassoli a and P.R. King a a Department of Eart Sciences and Engineering, Imperial

More information