Solutions to Math 41 Final Exam December 12, 2011

Size: px
Start display at page:

Download "Solutions to Math 41 Final Exam December 12, 2011"

Transcription

1 Solutions to Mth Finl Em December,. ( points) Find ech of the following its, with justifiction. If there is n infinite it, then eplin whether it is or. ( ) / ln() () (5 points) First we compute the it: [ ( ) ] / ln() ln ln (/) ln() ln ( ) ln() ln() ln() Now since f() e ep() is continuous function, we compute ( ) [ ( / ln() ( ) )] / ln() ep ln [ ( ( ) )] / ln() ep ln ep( ) e /e (b) (5 points) As goes to 3 from the right, 6 + goes to 3 8 +, nd + 3 goes to (by direct substitution, since polynomils re continuous everywhere). Therefore the given it hs form constnt over, nd so it involves infinity. Becuse we re tking bsolute vlues, the it must be positive infinity:

2 Mth, Autumn Solutions to Finl Em December, Pge of 5. ( points) In ech prt below, use the method of your choice (tht works) to find the derivtive. Show the steps in your computtions. () Find dz in terms of z nd t given tht tn(zt) t ln(z) dt (6 points) Differentite both sides of the eqution with respect to t, nd solve for z dz/dt: tn(zt) t ln(z) sec (zt)(z t + z) t z z + ln(z) z t sec (zt) z t z ln(z) z sec (zt) z ln(z) z sec (zt) t sec (zt) t/z (b) Find dy if y [cos()]sin() d (6 points) Use logrithmic differentition: tke the nturl log of both sides, then differentite implicitly nd solve for y. Epress the nswer in terms of. y cos() sin() ln(y) sin() ln(cos()) ( ) y y (sin ) ( sin ) + cos() ln(cos ) cos y y [ cos() ln(cos()) tn() sin() ] y cos() sin()[ cos() ln(cos()) tn() sin() ]

3 Mth, Autumn Solutions to Finl Em December, Pge 3 of 5 3. ( points) Consider the function f() () Is f() continuous t? Justify your nswer. { ( + ) + e if < + if ( points) By definition f() is continuous t if f() f(). We compute the left nd right its t, nd f(). Indeed, using direct substitution we get tht f() nd [ f() ( + ) + e ] +. nd f() Hence, we hve f() f(), nd so the function is continuous. (b) Is f() differentible t? Justify your nswer. (6 points) Since this is piecewise function, we need to use the definition of the derivtive to find the derivtive t point where two brnches meet. By definition, f() is differentible t if the following it eists f() f(). We compute the left nd the right hnd side its: this it hs the form f() f() + + +, nd so we cn use L Hospitl s rule Now, the it from the left hnd side, lso of the form f() f() ( + ) + e e 6. so we cn use L Hospitl s rule, is Since the left hnd it nd the right side it re not the sme the function f() is not differentible t.

4 Mth, Autumn Solutions to Finl Em December, Pge of 5. (8 points) Two people leve the sme city to two different destintions t the sme time. Person A leves due Est t constnt speed of 5 mi/hr nd Person B leves due South Est t constnt speed 6 mi/hr. How fst is the distnce between them incresing hours lter? Your finl nswer must be in terms of numbers lone, but you do not need to simplify it. Your finl nswer must hve units too. Let be the distnce from the city to Person A, y the distnce from the city to Person B, nd z the distnce between Person A nd B. Then it is given tht d dy dz 5, 6 nd we re looking for dt dt dt. The tringle formed by the city, Person A nd Person B is not necessrily right tringle, but we know tht the ngle opposite the side joining Person A nd B hs π/ rdins, so we cn use the lw of cosines: ( π ) z + y y cos + y y Tking derivtive with respect to t: z dz dt d dy + y dt dt d dt y dy dt Now, hours lter, nd y, so z And therefore: dz dt d dy dt + y dt d dt y dy dt z mi/hr. So the distnce between them is incresing t rte of mi/hr.

5 Mth, Autumn Solutions to Finl Em December, Pge 5 of 5 5. ( points) Consider the eqution () Find n intervl of length one where solution of the eqution is contined. Justify your nswer nd mke sure you mention which theorems you re using. (7 points) Let f() We seek n intervl of length one contining solution to f(). Note tht f is continuous on ll of R (, ) becuse it is polynomil. We compute f( ) 3( ) 7 +35( ) < nd f() 3() 7 +35()+5 5 >. By the intermedite vlue theorem, there eists number c in the intervl (, ) such tht f(c), tht is, the intervl (, ) [which hs length ] contins solution to f() s desired. (b) Show tht this eqution hs unique solution. (Hint: Study the grph) (5 points) We compute, using f() s bove, tht f () Since 6 for ll, it follows tht f () 35 > for ll. In prticulr, f() is incresing on R (, ). It follows tht f cn hve t most one root in R, since if c, d re two roots then f(c) f(d), but if c < d then f(c) < f(d), which doesn t mke sense, nd similrly if c > d then f(c) > f(d), which lso doesn t mke sense. If you think bout it, wht we re using is tht if function is incresing, then it is one-to-one. In terms of the grph, ll we re sying is tht n incresing function cnnot cross the -is more thn once! So f() hs t most one solution, nd by prt () it hs t lest one solution, so therefore it hs unique solution. Alternte solution: Suppose nd b re two different solutions to f(), so b. Then f(b) f() b. Since f is polynomil, it is everywhere differentible, so the Men Vlue Theorem pplies, nd thus there is number c between nd b with f (c) f(b) f() b. But this is impossible becuse f (c) c >. b (Note tht the lternte method is relly just unwinding the proof tht function with positive derivtive is incresing!)

6 Mth, Autumn Solutions to Finl Em December, Pge 6 of 5 6. ( points) The rnge in miles of projectile lunched over flt ground from the origin with positive velocity v in mi/hr t n ngle θ given in rdins is given by where g is positive constnt. R v sin(θ), g () Given fied velocity, v, wht ngle will mimize the rnge of the projectile? nswer. Justify your (8 points) The domin of R, s function in θ, is [, π/] becuse θ is the ngle between the ground nd the forwrd direction of the projectile. Then since v nd g re constnts, dr dθ v cos θ g Then in our domin, cos θ if nd only if θ π/. The derivtive is defined in the whole [, π/], so θ π/ is the only criticl number. R reches globl mimum nd globl minimum, becuse R is continuous function defined on closed intervl, nd it my hppen only t the criticl points or t the endpoints. We check: R() v sin /g R(π/) v sin π/g R(π/) v sin(π/)/g v /g > Therefore the mimum occurs t θ π/ rdins. Note: The domin for this function could hve lso been interpreted s being (, π/), [, π/), (, π/], (, π), [, π), (, π] or [, π]. (b) For this prt, ssume v, g nd θ ws mesured to be π/6 rdins. If there ws possible error in the mesurement of θ of. rdins, estimte the corresponding error in the computtion of the rnge using differentils or liner pproimtion. Your finl nswer must be in terms of numbers lone, but you do not need to simplify it. Give the units of your finl nswer. ( points) By Liner Approimtion, when θ is ner π/6, ( π ) R(θ) R 6 Then if we hve the rnge of θ s θ π/6 <., ( + R π ) ( θ π ) ( π ) R + ( θ π ) R(θ) R(π/6) θ π < (.) Therefore the possible error in the rnge is pproimtely. miles.

7 Mth, Autumn Solutions to Finl Em December, Pge 7 of 5 7. (9 points) () Give precise sttement of both prts of the Fundmentl Theorem of Clculus. (3 points) Prt : Let f be continuous function on [, b]. Then, the function g() f(t)dt is differentible for < < b nd d d f(t)dt f() Prt : Let F be ny ntiderivtive of n integrble function f defined on [, b]. Then b f(t)dt F (b) F () (b) Find the derivtive with respect to of the function g() sin () cos () ll your steps. Your finl nswer must not contin ny symbols. ln(t) dt. Show nd justify (6 points) By the Fundmentl Theorem of Clculus, we know there eists n ntiderivtive F (t) of ln(t), tht is, F (t) ln t. Then by the Evlution Theorem, g() Tking derivtive on both sides, sin () cos () ln tdt F (sin ()) F (cos ()) g () F (sin ())( sin() cos()) F (cos ())( cos() ( sin())) by the chin rule. Thus substituting F (t) ln(t), we hve: g () ln( sin ()) sin() cos() + ln( cos ()) cos() sin().

8 Mth, Autumn Solutions to Finl Em December, Pge 8 of 5 8. ( points) Instruments bord submrine which is trveling on stright line record the velocity in mi/hr once every hour. During the -hour period from t to t, they recorded: t v(t) () Without clculting it, wht does the quntity v(t)dt represent? Epress your nswer in terms relevnt to this sitution, nd mke it understndble to someone who does not know ny clculus; be sure to use ny units tht re pproprite, nd lso eplin wht the sign of this quntity would signify. ( points) The quntity v(t) dt represents the net displcement or net chnge in position of the submrine during the -hour period, mesured in miles. A positive number signifies tht the submrine moved forwrds by tht mount, while negtive number signifies tht it moved bckwrds. (On the other hnd, the distnce trveled is represented by the quntity v(t) dt.) (b) Use the Left Endpoint Rule with n 3 to estimte epression in terms of numbers lone, but you do not hve to simplify it. 9 v(t)dt; give your finl nswer s n ( points) We subdivide the intervl t 9 into 3 subintervls of length t 3: [, 3], [3, 6], nd [6, 9]. In ech, we use the left endpoint s our smple point, t i : 9 v(t) dt 3 v(t i ) t 3(v() + v(3) + v(6)) 3(3 + + ) 5. i (c) Use the Midpoint Rule with n 5 to estimte of numbers lone. v(t) dt; gin give your finl nswer in terms ( points) Now we subdivide [, ] into 5 subintervls of length t : [, ], [, ], [, 6], [6, 8], [8, ]. In ech, we use the midpoint s our smple point, t i : v(t) dt 5 v(t i ) t ( v() + v(3) + v(5) + v(7) + v(9) ) (++6++9) 7. i

9 Mth, Autumn Solutions to Finl Em December, Pge 9 of 5 9. ( points) Mrk ech sttement below s true or flse by circling T or F. No justifiction is necessry. T F If f is odd nd continuous everywhere, ll of its ntiderivtives must be even. True. If f is odd, we hve f(t)dt. But lso F. So F () F ( ), tht is, F is even. f(t)dt F () F ( ) for ny ntiderivtive T F If two differentible functions stisfy f() g() for ll, then f () g () for ll. Flse. Pick f() sin() nd g(). Then f () cos() nd g (). But cos() is not lwys negtive, for emple cos() >. T F The most generl ntiderivtive of g() tn() is H() ln( cos() ) + C, where C is constnt. Flse. The domin of tn() hs more thn one intervl, so the most generl ntiderivtive is piecewise function tht equls ln( cos() ) plus different constnt in ech of those intervls. T F b f(t) dt b f() dt for ny function f integrble on [, b]. Flse. We hve b f() dt f()(b ), so it is function of, while emple, if f(), nd b, then T F If f is continuous on [, b], then b dt, while f(t) dt b b t dt /. f(t) dt. f(t) dt is number. For True. If f is continuous on [, b], by the Fundmentl Theorem of Clculus g() f(t) dt is differentible on [, b], nd therefore continuous on [, b]. So g(b) g(), which is precisely wht b the sttement sys. T F If we pply Newton s method to the eqution f() nd get 3, then f( ). True. Since 3 f( ) f ( ), then f( ) f ( ) nd therefore f( ). T F e 3 d e3 + C, where C is constnt. 3 Flse. The derivtive of e3 e e 3 + C is 3 (3 ) nd this is not equl to e 3. T F If function is not integrble on [, b], then it is not differentible on [, b].

10 Mth, Autumn Solutions to Finl Em December, Pge of 5 True. If function is not integrble on [, b], then it is not continuous on [, b], nd so it is not differentible on [, b]. T F The function g() e t dt is the only ntiderivtive of f() e with g() True. The function g() is n ntiderivtive of f() by the Fundmentl Theorem of Clculus nd g(). Any other ntiderivtive would be of the form g() + C, so the only wy this is zero when is when C. T F 3 3 ( + 7 cos() + 5) d 3 3 ( + 5) d True. The function 7 cos() is odd, so 3 3 ( + 5) d cos() d cos() d, nd therefore ( + 5) d 3 3 ( + 7 cos()+5) d

11 Mth, Autumn Solutions to Finl Em December, Pge of 5. (5 points) () Suppose f() ( ). Let R be the region in the y-plne bounded by the curve y f() nd the lines y,, nd. Find the re of R by evluting the it of Riemnn sum tht uses the Right Endpoint Rule; show ll resoning. Give your finl nswer s n epression in terms of numbers lone, but you do not hve to simplify it. (9 points) Let ( ) n n (note tht this should lwys be positive s it is the width of the rectngles we will use to pproimte the re). For the Right Endpoint Rule we define i + i + i n. For given n the Riemnn sum is given by Now, by definition R n n f( i ) i n i n i n i ( ( + i ) n ) n ( i ) n n ( i n + i n ) n n n n n i + n n i i i i n n ( n ) + n n + ( n 3 + 3n ) + n n 6 ( + ) ( + n n + ) n. ( ) d n R n n n n f( i ) i [ ( + ) ( + n n + )] n

12 Mth, Autumn Solutions to Finl Em December, Pge of 5 (b) Epress the it n n n ( ) + i n i s definite integrl, nd then compute its vlue using the Evlution Theorem. Give your finl nswer s n epression in terms of numbers lone, but you do not hve to simplify it. (6 points) It is cler tht n b n. Hence, b + nd i i n, which implies tht. We hve then tht f( i ). Hence, the definite integrl is + i + d rctn rctn() rctn() rctn().

13 Mth, Autumn Solutions to Finl Em December, Pge 3 of 5. (8 points) Show ll resoning when solving ech of the problems below. Your finl nswer must not contin ny symbols. () 3 + d (6 points) We use substitution with u +, so du d. Tht mens u nd the its chnge to nd d + d 5 (u ) u du 5 (u 3/ u / ) du (b) [ u 5/ 5/ ] 5 [ ] 5 u 3/ u 5/ 3/ 5 u3/ 3 [ ] 55/ 5 53/ 3 5/ 5 3/ 3 t t dt (6 points) We use substitution with u t, so tht du dt. Then t u +. t (u + ) t dt du u u + u + du u (u + + u ) du u + u + ln( u ) + C (t ) + (t ) + ln( t ) + C

14 Mth, Autumn Solutions to Finl Em December, Pge of 5 (c) rctn ( ) d (6 points) First we use integrtion by prts with u rctn du + (/) d d nd v. + ( ) nd dv d, nd therefore rctn ( ) ( ) d rctn d rctn + ( ) + + d Now we use substitution with w + so tht dw d. rctn rctn ( ) + ( ) dw rctn + w ln( w ) + C ( ) + ln( + ) + C

15 Mth, Autumn Solutions to Finl Em December, Pge 5 of 5. ( points) () The function f stisfies f( + ) f() for ll. Use subtitution to show tht 8 f() d 6 f() d. (6 points) We strt with the fct tht 8 f()d 6 f()d show tht 6 f()d 8 6 f()d. f()d. So we just need to Net note tht 6 f()d 6 f( + )d 8 6 f(u)du where the first equlity is becuse f() f(+) nd the second one comes from u-substitution with u +, du d. Since 8 6 f(u)du nd 8 6 f()d men the sme thing, we hve shown tht 6 f()d 8 6 f()d. Thus, nd so we re done. 8 f()d f()d + f()d + f()d f()d f()d (b) The function f() stisfies f(π) nd f (). Find n ntiderivtive G of g() f() sin() sin() tht stisfies G(π). Your finl nswer must not contin ny symbols. (Hint: Use integrtion by prts) (6 points) The ntiderivtive of f() sin() is the indefinite integrl G() f() sin()d. To find G(), we use integrtion by prts twice: f() sin()d cos()f() cos()f ()d where u f(), du f ()d, dv sin()d, v cos() cos()f() + f () sin() d sin() sin() where u f (), du f ()d d/ sin(), dv cos()d, v sin() cos()f() + f () sin() d so, G() cos()f() + f () sin() + C We know tht G(π) nd f(π). Since G(π) cos(π)f(π) + f (π) sin(π) π + C π + C, we must hve C π. Thus, G() cos()f() + f () sin() + π

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Improper Integrals. October 4, 2017

Improper Integrals. October 4, 2017 Improper Integrls October 4, 7 Introduction We hve seen how to clculte definite integrl when the it is rel number. However, there re times when we re interested to compute the integrl sy for emple 3. Here

More information

)

) Chpter Five /SOLUTIONS Since the speed ws between nd mph during this five minute period, the fuel efficienc during this period is between 5 mpg nd 8 mpg. So the fuel used during this period is between

More information

5/9/17. Lesson 51 - FTC PART 2. Review FTC, PART 1. statement as the Integral Evaluation Theorem as it tells us HOW to evaluate the definite integral

5/9/17. Lesson 51 - FTC PART 2. Review FTC, PART 1. statement as the Integral Evaluation Theorem as it tells us HOW to evaluate the definite integral Lesson - FTC PART 2 Review! We hve seen definition/formul for definite integrl s n b A() = lim f ( i )Δ = f ()d = F() = F(b) F() n i=! where F () = f() (or F() is the ntiderivtive of f() b! And hve seen

More information

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

1 The Definite Integral

1 The Definite Integral The Definite Integrl Definition. Let f be function defined on the intervl [, b] where

More information

MA 124 (Calculus II) Lecture 2: January 24, 2019 Section A3. Professor Jennifer Balakrishnan,

MA 124 (Calculus II) Lecture 2: January 24, 2019 Section A3. Professor Jennifer Balakrishnan, Wht is on tody Professor Jennifer Blkrishnn, jbl@bu.edu 1 Velocity nd net chnge 1 2 Regions between curves 3 1 Velocity nd net chnge Briggs-Cochrn-Gillett 6.1 pp. 398-46 Suppose you re driving long stright

More information

Lecture 7: Integration Techniques

Lecture 7: Integration Techniques Lecture 7: Integrtion Techniques Antiderivtives nd Indefinite Integrls. In differentil clculus, we were interested in the derivtive of given rel-vlued function, whether it ws lgeric, eponentil or logrithmic.

More information

Introduction to Integration

Introduction to Integration Introduction to Integrtion Definite integrls of piecewise constnt functions A constnt function is function of the form Integrtion is two things t the sme time: A form of summtion. The opposite of differentition.

More information

6.3 Definite Integrals and Antiderivatives

6.3 Definite Integrals and Antiderivatives Section 6. Definite Integrls nd Antiderivtives 8 6. Definite Integrls nd Antiderivtives Wht ou will lern out... Properties of Definite Integrls Averge Vlue of Function Men Vlue Theorem for Definite Integrls

More information

Integration. September 28, 2017

Integration. September 28, 2017 Integrtion September 8, 7 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my

More information

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork MA1008 Clculus nd Liner Algebr for Engineers Course Notes for Section B Stephen Wills Deprtment of Mthemtics University College Cork s.wills@ucc.ie http://euclid.ucc.ie/pges/stff/wills/teching/m1008/ma1008.html

More information

such that the S i cover S, or equivalently S

such that the S i cover S, or equivalently S MATH 55 Triple Integrls Fll 16 1. Definition Given solid in spce, prtition of consists of finite set of solis = { 1,, n } such tht the i cover, or equivlently n i. Furthermore, for ech i, intersects i

More information

Integration. October 25, 2016

Integration. October 25, 2016 Integrtion October 5, 6 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my hve

More information

MATH 2530: WORKSHEET 7. x 2 y dz dy dx =

MATH 2530: WORKSHEET 7. x 2 y dz dy dx = MATH 253: WORKSHT 7 () Wrm-up: () Review: polr coordintes, integrls involving polr coordintes, triple Riemnn sums, triple integrls, the pplictions of triple integrls (especilly to volume), nd cylindricl

More information

Pointwise convergence need not behave well with respect to standard properties such as continuity.

Pointwise convergence need not behave well with respect to standard properties such as continuity. Chpter 3 Uniform Convergence Lecture 9 Sequences of functions re of gret importnce in mny res of pure nd pplied mthemtics, nd their properties cn often be studied in the context of metric spces, s in Exmples

More information

Math 142, Exam 1 Information.

Math 142, Exam 1 Information. Mth 14, Exm 1 Informtion. 9/14/10, LC 41, 9:30-10:45. Exm 1 will be bsed on: Sections 7.1-7.5. The corresponding ssigned homework problems (see http://www.mth.sc.edu/ boyln/sccourses/14f10/14.html) At

More information

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012 Mth 464 Fll 2012 Notes on Mrginl nd Conditionl Densities klin@mth.rizon.edu October 18, 2012 Mrginl densities. Suppose you hve 3 continuous rndom vribles X, Y, nd Z, with joint density f(x,y,z. The mrginl

More information

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve.

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve. Line Integrls The ide of line integrl is very similr to tht of single integrls. If the function f(x) is bove the x-xis on the intervl [, b], then the integrl of f(x) over [, b] is the re under f over the

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus MATH 6 The Fundmentl Theorem of Clculus The Fundmentl Theorem of Clculus (FTC) gives method of finding the signed re etween the grph of f nd the x-xis on the intervl [, ]. The theorem is: FTC: If f is

More information

1.5 Extrema and the Mean Value Theorem

1.5 Extrema and the Mean Value Theorem .5 Extrem nd the Men Vlue Theorem.5. Mximum nd Minimum Vlues Definition.5. (Glol Mximum). Let f : D! R e function with domin D. Then f hs n glol mximum vlue t point c, iff(c) f(x) for ll x D. The vlue

More information

The Basic Properties of the Integral

The Basic Properties of the Integral The Bsic Properties of the Integrl When we compute the derivtive of complicted function, like + sin, we usull use differentition rules, like d [f()+g()] d f()+ d g(), to reduce the computtion d d d to

More information

Unit 5 Vocabulary. A function is a special relationship where each input has a single output.

Unit 5 Vocabulary. A function is a special relationship where each input has a single output. MODULE 3 Terms Definition Picture/Exmple/Nottion 1 Function Nottion Function nottion is n efficient nd effective wy to write functions of ll types. This nottion llows you to identify the input vlue with

More information

Math 35 Review Sheet, Spring 2014

Math 35 Review Sheet, Spring 2014 Mth 35 Review heet, pring 2014 For the finl exm, do ny 12 of the 15 questions in 3 hours. They re worth 8 points ech, mking 96, with 4 more points for netness! Put ll your work nd nswers in the provided

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes by disks: volume prt ii 6 6 Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem 6) nd the ccumultion process is to determine so-clled volumes

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

Introduction. Chapter 4: Complex Integration. Introduction (Cont d)

Introduction. Chapter 4: Complex Integration. Introduction (Cont d) Introduction Chpter 4: Complex Integrtion Li, Yongzho Stte Key Lbortory of Integrted Services Networks, Xidin University October 10, 2010 The two-dimensionl nture of the complex plne required us to generlize

More information

9.1 apply the distance and midpoint formulas

9.1 apply the distance and midpoint formulas 9.1 pply the distnce nd midpoint formuls DISTANCE FORMULA MIDPOINT FORMULA To find the midpoint between two points x, y nd x y 1 1,, we Exmple 1: Find the distnce between the two points. Then, find the

More information

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) Numbers nd Opertions, Algebr, nd Functions 45. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) In sequence of terms involving eponentil growth, which the testing service lso clls geometric

More information

ZZ - Advanced Math Review 2017

ZZ - Advanced Math Review 2017 ZZ - Advnced Mth Review Mtrix Multipliction Given! nd! find the sum of the elements of the product BA First, rewrite the mtrices in the correct order to multiply The product is BA hs order x since B is

More information

LIMITS AND CONTINUITY

LIMITS AND CONTINUITY LIMITS AND CONTINUITY Joe McBride/Stone/Gett Imges Air resistnce prevents the velocit of skdiver from incresing indefinitel. The velocit pproches it, clled the terminl velocit. The development of clculus

More information

Calculus Differentiation

Calculus Differentiation //007 Clulus Differentition Jeffrey Seguritn person in rowot miles from the nerest point on strit shoreline wishes to reh house 6 miles frther down the shore. The person n row t rte of mi/hr nd wlk t rte

More information

MATH 25 CLASS 5 NOTES, SEP

MATH 25 CLASS 5 NOTES, SEP MATH 25 CLASS 5 NOTES, SEP 30 2011 Contents 1. A brief diversion: reltively prime numbers 1 2. Lest common multiples 3 3. Finding ll solutions to x + by = c 4 Quick links to definitions/theorems Euclid

More information

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula:

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula: 5 AMC LECTURES Lecture Anlytic Geometry Distnce nd Lines BASIC KNOWLEDGE. Distnce formul The distnce (d) between two points P ( x, y) nd P ( x, y) cn be clculted by the following formul: d ( x y () x )

More information

Introduction Transformation formulae Polar graphs Standard curves Polar equations Test GRAPHS INU0114/514 (MATHS 1)

Introduction Transformation formulae Polar graphs Standard curves Polar equations Test GRAPHS INU0114/514 (MATHS 1) POLAR EQUATIONS AND GRAPHS GEOMETRY INU4/54 (MATHS ) Dr Adrin Jnnett MIMA CMth FRAS Polr equtions nd grphs / 6 Adrin Jnnett Objectives The purpose of this presenttion is to cover the following topics:

More information

8.2 Areas in the Plane

8.2 Areas in the Plane 39 Chpter 8 Applictions of Definite Integrls 8. Ares in the Plne Wht ou will lern out... Are Between Curves Are Enclosed Intersecting Curves Boundries with Chnging Functions Integrting with Respect to

More information

Math 17 - Review. Review for Chapter 12

Math 17 - Review. Review for Chapter 12 Mth 17 - eview Ying Wu eview for hpter 12 1. Given prmetric plnr curve x = f(t), y = g(t), where t b, how to eliminte the prmeter? (Use substitutions, or use trigonometry identities, etc). How to prmeterize

More information

MTH 146 Conics Supplement

MTH 146 Conics Supplement 105- Review of Conics MTH 146 Conics Supplement In this section we review conics If ou ne more detils thn re present in the notes, r through section 105 of the ook Definition: A prol is the set of points

More information

1.1. Interval Notation and Set Notation Essential Question When is it convenient to use set-builder notation to represent a set of numbers?

1.1. Interval Notation and Set Notation Essential Question When is it convenient to use set-builder notation to represent a set of numbers? 1.1 TEXAS ESSENTIAL KNOWLEDGE AND SKILLS Prepring for 2A.6.K, 2A.7.I Intervl Nottion nd Set Nottion Essentil Question When is it convenient to use set-uilder nottion to represent set of numers? A collection

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3..1 Single slit diffrction ves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. e will consider this lter. Tke

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3.5.1 Single slit diffrction Wves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. We will consider this lter.

More information

Math 4 Review for Quarter 2 Cumulative Test

Math 4 Review for Quarter 2 Cumulative Test Mth 4 Review for Qurter 2 Cumultive Test Nme: I. Right Tringle Trigonometry (3.1-3.3) Key Fcts Pythgoren Theorem - In right tringle, 2 + b 2 = c 2 where c is the hypotenuse s shown below. c b Trigonometric

More information

Revisit: Limits at Infinity

Revisit: Limits at Infinity Revisit: Limits t Infinity Limits t Infinity: Wewrite to men the following: f () =L, or f ()! L s! + Conceptul Mening: Thevlueoff () willbesclosetol s we like when is su Forml Definition: Forny"> 0(nomtterhowsmll)thereeistsnM

More information

EXPONENTIAL & POWER GRAPHS

EXPONENTIAL & POWER GRAPHS Eponentil & Power Grphs EXPONENTIAL & POWER GRAPHS www.mthletics.com.u Eponentil EXPONENTIAL & Power & Grphs POWER GRAPHS These re grphs which result from equtions tht re not liner or qudrtic. The eponentil

More information

f[a] x + f[a + x] x + f[a +2 x] x + + f[b x] x

f[a] x + f[a + x] x + f[a +2 x] x + + f[b x] x Bsic Integrtion This chpter contins the fundmentl theory of integrtion. We begin with some problems to motivte the min ide: pproximtion by sum of slices. The chpter confronts this squrely, nd Chpter 3

More information

Hyperbolas. Definition of Hyperbola

Hyperbolas. Definition of Hyperbola CHAT Pre-Clculus Hyperols The third type of conic is clled hyperol. For n ellipse, the sum of the distnces from the foci nd point on the ellipse is fixed numer. For hyperol, the difference of the distnces

More information

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1. Answer on Question #5692, Physics, Optics Stte slient fetures of single slit Frunhofer diffrction pttern. The slit is verticl nd illuminted by point source. Also, obtin n expression for intensity distribution

More information

Essential Question What are some of the characteristics of the graph of a rational function?

Essential Question What are some of the characteristics of the graph of a rational function? 8. TEXAS ESSENTIAL KNOWLEDGE AND SKILLS A..A A..G A..H A..K Grphing Rtionl Functions Essentil Question Wht re some of the chrcteristics of the grph of rtionl function? The prent function for rtionl functions

More information

WebAssign Lesson 1-3a Substitution Part 1 (Homework)

WebAssign Lesson 1-3a Substitution Part 1 (Homework) WeAssign Lesson -3 Sustitution Prt (Homework) Current Score : / 3 Due : Fridy, June 7 04 :00 AM MDT Jimos Skriletz Mth 75, section 3, Summer 04 Instructor: Jimos Skriletz. /.5 points Suppose you hve the

More information

2 Computing all Intersections of a Set of Segments Line Segment Intersection

2 Computing all Intersections of a Set of Segments Line Segment Intersection 15-451/651: Design & Anlysis of Algorithms Novemer 14, 2016 Lecture #21 Sweep-Line nd Segment Intersection lst chnged: Novemer 8, 2017 1 Preliminries The sweep-line prdigm is very powerful lgorithmic design

More information

Chapter Spline Method of Interpolation More Examples Electrical Engineering

Chapter Spline Method of Interpolation More Examples Electrical Engineering Chpter. Spline Method of Interpoltion More Exmples Electricl Engineering Exmple Thermistors re used to mesure the temperture of bodies. Thermistors re bsed on mterils chnge in resistnce with temperture.

More information

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications.

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications. 15-112 Fll 2018 Midterm 1 October 11, 2018 Nme: Andrew ID: Recittion Section: ˆ You my not use ny books, notes, extr pper, or electronic devices during this exm. There should be nothing on your desk or

More information

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers Mth Modeling Lecture 4: Lgrnge Multipliers Pge 4452 Mthemticl Modeling Lecture 4: Lgrnge Multipliers Lgrnge multipliers re high powered mthemticl technique to find the mximum nd minimum of multidimensionl

More information

Stained Glass Design. Teaching Goals:

Stained Glass Design. Teaching Goals: Stined Glss Design Time required 45-90 minutes Teching Gols: 1. Students pply grphic methods to design vrious shpes on the plne.. Students pply geometric trnsformtions of grphs of functions in order to

More information

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig CS311H: Discrete Mthemtics Grph Theory IV Instructor: Işıl Dillig Instructor: Işıl Dillig, CS311H: Discrete Mthemtics Grph Theory IV 1/25 A Non-plnr Grph Regions of Plnr Grph The plnr representtion of

More information

Supplemental Notes: Line Integrals

Supplemental Notes: Line Integrals Nottion: Supplementl Notes: Line Integrls Let be n oriented curve prmeterized by r(t) = x(t), y(t), z(t) where t b. denotes the curve with its orienttion reversed. 1 + 2 mens tke curve 1 nd curve 2 nd

More information

Algebra II Notes Unit Ten: Conic Sections

Algebra II Notes Unit Ten: Conic Sections Sllus Ojective: 0. The student will sketch the grph of conic section with centers either t or not t the origin. (PARABOLAS) Review: The Midpoint Formul The midpoint M of the line segment connecting the

More information

Study Guide for Exam 3

Study Guide for Exam 3 Mth 05 Elementry Algebr Fll 00 Study Guide for Em Em is scheduled for Thursdy, November 8 th nd ill cover chpters 5 nd. You my use "5" note crd (both sides) nd scientific clcultor. You re epected to no

More information

The Reciprocal Function Family. Objectives To graph reciprocal functions To graph translations of reciprocal functions

The Reciprocal Function Family. Objectives To graph reciprocal functions To graph translations of reciprocal functions - The Reciprocl Function Fmil Objectives To grph reciprocl functions To grph trnsltions of reciprocl functions Content Stndrds F.BF.3 Identif the effect on the grph of replcing f () b f() k, kf(), f(k),

More information

Objective: Students will understand what it means to describe, graph and write the equation of a parabola. Parabolas

Objective: Students will understand what it means to describe, graph and write the equation of a parabola. Parabolas Pge 1 of 8 Ojective: Students will understnd wht it mens to descrie, grph nd write the eqution of prol. Prols Prol: collection of ll points P in plne tht re the sme distnce from fixed point, the focus

More information

Topics in Analytic Geometry

Topics in Analytic Geometry Nme Chpter 10 Topics in Anltic Geometr Section 10.1 Lines Objective: In this lesson ou lerned how to find the inclintion of line, the ngle between two lines, nd the distnce between point nd line. Importnt

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information

x )Scales are the reciprocal of each other. e

x )Scales are the reciprocal of each other. e 9. Reciprocls A Complete Slide Rule Mnul - eville W Young Chpter 9 Further Applictions of the LL scles The LL (e x ) scles nd the corresponding LL 0 (e -x or Exmple : 0.244 4.. Set the hir line over 4.

More information

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997.

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997. Forced convex n-gons in the plne F. R. K. Chung y University ofpennsylvni Phildelphi, Pennsylvni 19104 R. L. Grhm AT&T Ls - Reserch Murry Hill, New Jersey 07974 Mrch 2,1997 Astrct In seminl pper from 1935,

More information

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Chapter 2 Sensitivity Analysis: Differential Calculus of Models Chpter 2 Sensitivity Anlysis: Differentil Clculus of Models Abstrct Models in remote sensing nd in science nd engineering, in generl re, essentilly, functions of discrete model input prmeters, nd/or functionls

More information

Pythagoras theorem and trigonometry (2)

Pythagoras theorem and trigonometry (2) HPTR 10 Pythgors theorem nd trigonometry (2) 31 HPTR Liner equtions In hpter 19, Pythgors theorem nd trigonometry were used to find the lengths of sides nd the sizes of ngles in right-ngled tringles. These

More information

This notebook investigates the properties of non-integer differential operators using Fourier analysis.

This notebook investigates the properties of non-integer differential operators using Fourier analysis. Frctionl erivtives.nb Frctionl erivtives by Fourier ecomposition by Eric Thrne 4/9/6 This notebook investigtes the properties of non-integer differentil opertors using Fourier nlysis. In[]:=

More information

Thirty-fourth Annual Columbus State Invitational Mathematics Tournament. Instructions

Thirty-fourth Annual Columbus State Invitational Mathematics Tournament. Instructions Thirty-fourth Annul Columbus Stte Invittionl Mthemtics Tournment Sponsored by Columbus Stte University Deprtment of Mthemtics Februry, 008 ************************* The Mthemtics Deprtment t Columbus Stte

More information

Midterm 2 Sample solution

Midterm 2 Sample solution Nme: Instructions Midterm 2 Smple solution CMSC 430 Introduction to Compilers Fll 2012 November 28, 2012 This exm contins 9 pges, including this one. Mke sure you hve ll the pges. Write your nme on the

More information

INTRODUCTION TO SIMPLICIAL COMPLEXES

INTRODUCTION TO SIMPLICIAL COMPLEXES INTRODUCTION TO SIMPLICIAL COMPLEXES CASEY KELLEHER AND ALESSANDRA PANTANO 0.1. Introduction. In this ctivity set we re going to introduce notion from Algebric Topology clled simplicil homology. The min

More information

Ray surface intersections

Ray surface intersections Ry surfce intersections Some primitives Finite primitives: polygons spheres, cylinders, cones prts of generl qudrics Infinite primitives: plnes infinite cylinders nd cones generl qudrics A finite primitive

More information

Section 3.1: Sequences and Series

Section 3.1: Sequences and Series Section.: Sequences d Series Sequences Let s strt out with the definition of sequence: sequence: ordered list of numbers, often with definite pttern Recll tht in set, order doesn t mtter so this is one

More information

4-1 NAME DATE PERIOD. Study Guide. Parallel Lines and Planes P Q, O Q. Sample answers: A J, A F, and D E

4-1 NAME DATE PERIOD. Study Guide. Parallel Lines and Planes P Q, O Q. Sample answers: A J, A F, and D E 4-1 NAME DATE PERIOD Pges 142 147 Prllel Lines nd Plnes When plnes do not intersect, they re sid to e prllel. Also, when lines in the sme plne do not intersect, they re prllel. But when lines re not in

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

Math/CS 467/667 Programming Assignment 01. Adaptive Gauss Quadrature. q(x)p 4 (x) = 0

Math/CS 467/667 Programming Assignment 01. Adaptive Gauss Quadrature. q(x)p 4 (x) = 0 Adptive Guss Qudrture 1. Find n orthogonl polynomil p 4 of degree 4 such tht 1 1 q(x)p 4 (x) = 0 for every polynomil q(x) of degree 3 or less. You my use Mple nd the Grm Schmidt process s done in clss.

More information

Angle properties of lines and polygons

Angle properties of lines and polygons chievement Stndrd 91031 pply geometric resoning in solving problems Copy correctly Up to 3% of workbook Copying or scnning from ES workbooks is subject to the NZ Copyright ct which limits copying to 3%

More information

12-B FRACTIONS AND DECIMALS

12-B FRACTIONS AND DECIMALS -B Frctions nd Decimls. () If ll four integers were negtive, their product would be positive, nd so could not equl one of them. If ll four integers were positive, their product would be much greter thn

More information

It is recommended to change the limits of integration while doing a substitution.

It is recommended to change the limits of integration while doing a substitution. MAT 21 eptember 7, 216 Review Indrjit Jn. Generl Tips It is recommended to chnge the limits of integrtion while doing substitution. First write the min formul (eg. centroid, moment of inerti, mss, work

More information

1.1 Lines AP Calculus

1.1 Lines AP Calculus . Lines AP Clculus. LINES Notecrds from Section.: Rules for Rounding Round or Truncte ll finl nswers to 3 deciml plces. Do NOT round before ou rech our finl nswer. Much of Clculus focuses on the concept

More information

SAMPLE PREREQUISITE PROBLEMS: CALCULUS

SAMPLE PREREQUISITE PROBLEMS: CALCULUS SAMPLE PREREQUISITE PROBLEMS: CALCULUS Te following questions rise from ctul AP Clculus AB em questions; I went troug lots of questions, nd pulled out prts requiring lgebr nd trigonometr Tese problems

More information

ECE 468/573 Midterm 1 September 28, 2012

ECE 468/573 Midterm 1 September 28, 2012 ECE 468/573 Midterm 1 September 28, 2012 Nme:! Purdue emil:! Plese sign the following: I ffirm tht the nswers given on this test re mine nd mine lone. I did not receive help from ny person or mteril (other

More information

Yoplait with Areas and Volumes

Yoplait with Areas and Volumes Yoplit with Ares nd Volumes Yoplit yogurt comes in two differently shped continers. One is truncted cone nd the other is n ellipticl cylinder (see photos below). In this exercise, you will determine the

More information

Section 5.3 : Finding Area Between Curves

Section 5.3 : Finding Area Between Curves MATH 9 Section 5. : Finding Are Between Curves Importnt: In this section we will lern just how to set up the integrls to find re etween curves. The finl nswer for ech emple in this hndout is given for

More information

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a Mth 176 Clculus Sec. 6.: Volume I. Volume By Slicing A. Introduction We will e trying to find the volume of solid shped using the sum of cross section res times width. We will e driving towrd developing

More information

ONU Calculus I Math 1631

ONU Calculus I Math 1631 ONU Clculus I Mth 1631 2013-2014 Syllus Mrs. Trudy Thompson tthompson@lcchs.edu Text: Clculus 8 th Edition, Anton, Bivens nd Dvis Prerequisites: C or etter in Pre-Clc nd techer s permission This course

More information

Matlab s Numerical Integration Commands

Matlab s Numerical Integration Commands Mtlb s Numericl Integrtion Commnds The relevnt commnds we consider re qud nd dblqud, triplequd. See the Mtlb help files for other integrtion commnds. By the wy, qud refers to dptive qudrture. To integrte:

More information

Constrained Optimization. February 29

Constrained Optimization. February 29 Constrined Optimiztion Februry 9 Generl Problem min f( ) ( NLP) s.. t g ( ) i E i g ( ) i I i Modeling nd Constrints Adding constrints let s us model fr more richer set of problems. For our purpose we

More information

9 Graph Cutting Procedures

9 Graph Cutting Procedures 9 Grph Cutting Procedures Lst clss we begn looking t how to embed rbitrry metrics into distributions of trees, nd proved the following theorem due to Brtl (1996): Theorem 9.1 (Brtl (1996)) Given metric

More information

Answer Key Lesson 6: Workshop: Angles and Lines

Answer Key Lesson 6: Workshop: Angles and Lines nswer Key esson 6: tudent Guide ngles nd ines Questions 1 3 (G p. 406) 1. 120 ; 360 2. hey re the sme. 3. 360 Here re four different ptterns tht re used to mke quilts. Work with your group. se your Power

More information

Graphing Conic Sections

Graphing Conic Sections Grphing Conic Sections Definition of Circle Set of ll points in plne tht re n equl distnce, clled the rdius, from fixed point in tht plne, clled the center. Grphing Circle (x h) 2 + (y k) 2 = r 2 where

More information

Subtracting Fractions

Subtracting Fractions Lerning Enhncement Tem Model Answers: Adding nd Subtrcting Frctions Adding nd Subtrcting Frctions study guide. When the frctions both hve the sme denomintor (bottom) you cn do them using just simple dding

More information

CHAPTER 8 Quasi-interpolation methods

CHAPTER 8 Quasi-interpolation methods CHAPTER 8 Qusi-interpoltion methods In Chpter 5 we considered number of methods for computing spline pproximtions. The strting point for the pproximtion methods is dt set tht is usully discrete nd in the

More information

Name Date Class. cot. tan. cos. 1 cot 2 csc 2

Name Date Class. cot. tan. cos. 1 cot 2 csc 2 Fundmentl Trigonometric Identities To prove trigonometric identit, use the fundmentl identities to mke one side of the eqution resemle the other side. Reciprocl nd Rtio Identities csc sec sin cos Negtive-Angle

More information

Math 227 Problem Set V Solutions. f ds =

Math 227 Problem Set V Solutions. f ds = Mth 7 Problem Set V Solutions If is urve with prmetriztion r(t), t b, then we define the line integrl f ds b f ( r(t) ) dr dt (t) dt. Evlute the line integrl f(x,y,z)ds for () f(x,y,z) xosz, the urve with

More information

Misrepresentation of Preferences

Misrepresentation of Preferences Misrepresenttion of Preferences Gicomo Bonnno Deprtment of Economics, University of Cliforni, Dvis, USA gfbonnno@ucdvis.edu Socil choice functions Arrow s theorem sys tht it is not possible to extrct from

More information

Study Sheet ( )

Study Sheet ( ) Key Terms prol circle Ellipse hyperol directrix focus focl length xis of symmetry vertex Study Sheet (11.1-11.4) Conic Section A conic section is section of cone. The ellipse, prol, nd hyperol, long with

More information

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area:

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area: Bck to Are: Are & Volume Chpter 6. & 6. Septemer 5, 6 We cn clculte the re etween the x-xis nd continuous function f on the intervl [,] using the definite integrl:! f x = lim$ f x * i )%x n i= Where fx

More information

Physics 208: Electricity and Magnetism Exam 1, Secs Feb IMPORTANT. Read these directions carefully:

Physics 208: Electricity and Magnetism Exam 1, Secs Feb IMPORTANT. Read these directions carefully: Physics 208: Electricity nd Mgnetism Exm 1, Secs. 506 510 11 Feb. 2004 Instructor: Dr. George R. Welch, 415 Engineering-Physics, 845-7737 Print your nme netly: Lst nme: First nme: Sign your nme: Plese

More information

CHAPTER 5 Spline Approximation of Functions and Data

CHAPTER 5 Spline Approximation of Functions and Data CHAPTER 5 Spline Approximtion of Functions nd Dt This chpter introduces number of methods for obtining spline pproximtions to given functions, or more precisely, to dt obtined by smpling function. In Section

More information

Tilt-Sensing with Kionix MEMS Accelerometers

Tilt-Sensing with Kionix MEMS Accelerometers Tilt-Sensing with Kionix MEMS Accelerometers Introduction Tilt/Inclintion sensing is common ppliction for low-g ccelerometers. This ppliction note describes how to use Kionix MEMS low-g ccelerometers to

More information