d. 90, 118 Throttle to 104%

Size: px
Start display at page:

Download "d. 90, 118 Throttle to 104%"

Transcription

1 Nme: Clss: Dte: By redg vlues from the gve grph of f, use fve rectgles to fd lower estmte d upper estmte, respectvely, for the re uder the gve grph of f from = to =. Whe we estmte dstces from velocty dt, t s sometmes ecessry to use tmes t, t, t, t,..., tht re ot eqully spced. We c stll estmte dstces usg the tme perods t = t t. The tle gves the velocty dt for the shuttle etwee lftoff d the jettsog of the sold rocket oosters. Evet Luch Tme (s) Velocty (ft/s) Beg roll meuver 7 Ed roll meuver ,. c., 9 e., 9. Throttle to 9% Throttle to 67% 6 7.., 9. d. 9, Throttle to % The speed of ruer cresed stedly durg the frst three secods of rce. Her speed t hlf secod tervls s gve the tle. Mmum dymc pressure Sold rocket ooster seprto 6 t (s) v (ft / s) () Fd the lower estmte for the dstce tht she trveled durg these three secods usg 6 sutervls. Use ths dt to estmte upper oud for the heght ove Erth's surfce of the spce shuttle, 6 secods fter lftoff. ft ft () Fd the upper estmte for the dstce tht she trveled durg these three secods usg 6 sutervls. ft PAGE

2 Nme: Clss: Dte: The velocty grph of rkg cr s show. Use t to estmte the dstce trveled y the cr whle the rkes re ppled, usg mdpots. Plese roud the swer to the erest foot. y = 6 Fd epresso for the re uder the curve from to s t. Use the followg formul for the sum of the cues of the frst tegers to evlute the t. Use rght edpots d equl sutervls = ( + ). + = 6. = 6. ft c. 6 ft e. ft c. = 6. ft d. ft The velocty grph of cr ccelertg from rest to speed of ft/s over perod of secods s show. Estmte the dstce trveled durg ths perod. Use mdpots d equl sutervls. d. e = = 6 7 If f ( ) =,, fd the Rem sum wth = correct to s decml plces, tkg the smple pots to e mdpots.. ft c. ft e. ft. 6 ft d. ft A tle of vlues of cresg fucto f s show. Use the tle to fd lower d upper estmtes for. Use equl sutervls. 6 9 f ( ) 9 Lower estmte = Upper estmte = PAGE

3 Nme: Clss: Dte: 9 The tle gves the vlues of fucto oted from epermet. f ( ) () Use them to estmte sutervls wth rght edpots. usg three equl Use the Mdpot Rule wth the gve vlue of to ppromte the tegrl. Roud the swer to four decml plces. I = I 6 e d, = Epress the t s defte tegrl o the gve tervl. () Use them to estmte sutervls wth left edpots. usg three equl e, [,9 ] + (c) Use them to estmte sutervls wth mdpots. usg three equl Epress the t s defte tegrl o the gve tervl. [, ] 9 * + 9 *, Use the Mdpot Rule wth the gve vlue of to ppromte the tegrl. Roud the swer to four decml plces. + d, = Use the form of the defto of the tegrl gve equto = f * evlute the tegrl. ( )d to Use the Mdpot Rule wth the gve vlue of to ppromte the tegrl. Roud the swer to four decml plces. s ( )d, = 6 Epress the tegrl s t of Rem sums. Do ot evlute the t. ( + 9l ) d PAGE

4 Nme: Clss: Dte: 7 The grph of f s show. Evlute ech tegrl y terpretg t terms of res. Evlute the tegrl y terpretg t terms of res. 7 ( 7 ) d Evlute the tegrl y terpretg t terms of res. 6 d Evlute the tegrl y terpretg t terms of res. () 6 = 6 d () (c) = = 6 d = Gve tht, wht s? 6 t dt (d) 7 = d d Evlute the tegrl y terpretg t terms of res. 9 Evlute the tegrl y terpretg t terms of res. Wrte the tegrl elow s sgle tegrl the form. + = 6 If d, fd. =. Evlute the tegrl y terpretg t terms of res. ( + ) d PAGE

5 Nme: Clss: Dte: 7 Use the property If m f ( ) M for, the m ( ) M ( ) to estmte the vlue of the tegrl. + 6 d d d c. + 6 d d. + 6 d e. + 6 d PAGE

Applications of the Definite Integral ( Areas and Volumes)

Applications of the Definite Integral ( Areas and Volumes) Mth1242 Project II Nme: Applictions of the Definite Integrl ( Ares nd Volumes) In this project, we explore some pplictions of the definite integrl. We use integrls to find the re etween the grphs of two

More information

Def : A radical is an expression consisting of a radical sign (radical symbol), a radicand, and an index.

Def : A radical is an expression consisting of a radical sign (radical symbol), a radicand, and an index. Mth 0 Uit : Roots & Powers Red Buildig O, Big Ides, d New Vocbulry, p. 0 tet.. Estitig Roots ( clss) Red Lesso Focus p. tet. Outcoes Ch. Notes. Defie d give eple of rdicl. pp. 0, 9. Idetify the ide d the

More information

Example: X: the random variable representing the point of throwing a fair dice. Then, Intuitively, the average point of throwing a fair dice is

Example: X: the random variable representing the point of throwing a fair dice. Then, Intuitively, the average point of throwing a fair dice is peted Vlue d Vre: I: Dsrete Rdom Vrle: peted Vlue: mple: : the rdom vrle represetg the pot o throwg r de The Itutvel the verge pot o throwg r de s The epeted vlue o the rdom vrle s just the verge verge

More information

Chapter 3 Descriptive Statistics Numerical Summaries

Chapter 3 Descriptive Statistics Numerical Summaries Secto 3.1 Chapter 3 Descrptve Statstcs umercal Summares Measures of Cetral Tedecy 1. Mea (Also called the Arthmetc Mea) The mea of a data set s the sum of the observatos dvded by the umber of observatos.

More information

For all questions, answer choice E) NOTA" means none of the above answers is correct. A) 50,500 B) 500,000 C) 500,500 D) 1,001,000 E) NOTA

For all questions, answer choice E) NOTA means none of the above answers is correct. A) 50,500 B) 500,000 C) 500,500 D) 1,001,000 E) NOTA For all questos, aswer choce " meas oe of the above aswers s correct.. What s the sum of the frst 000 postve tegers? A) 50,500 B) 500,000 C) 500,500 D),00,000. What s the sum of the tegers betwee 00 ad

More information

Chapter Spline Method of Interpolation More Examples Computer Engineering

Chapter Spline Method of Interpolation More Examples Computer Engineering Chpter. Splne Metho of Interpolton More Emples Computer Engneerng Emple A root rm wth rp lser snner s ong quk qulty hek on holes rlle n " " retngulr plte. The enters of the holes n the plte esre the pth

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

ITEM ToolKit Technical Support Notes

ITEM ToolKit Technical Support Notes ITEM ToolKt Notes Fault Tree Mathematcs Revew, Ic. 2875 Mchelle Drve Sute 300 Irve, CA 92606 Phoe: +1.240.297.4442 Fax: +1.240.297.4429 http://www.itemsoft.com Page 1 of 15 6/1/2016 Copyrght, Ic., All

More information

1-D matrix method. U 4 transmitted. incident U 2. reflected U 1 U 5 U 3 L 2 L 3 L 4. EE 439 matrix method 1

1-D matrix method. U 4 transmitted. incident U 2. reflected U 1 U 5 U 3 L 2 L 3 L 4. EE 439 matrix method 1 -D matrx method We ca expad the smple plae-wave scatterg for -D examples that we ve see to a more versatle matrx approach that ca be used to hadle may terestg -D problems. The basc dea s that we ca break

More information

Bezier curves. 1. Defining a Bezier curve. A closed Bezier curve can simply be generated by closing its characteristic polygon

Bezier curves. 1. Defining a Bezier curve. A closed Bezier curve can simply be generated by closing its characteristic polygon Curve represetato Copyrght@, YZU Optmal Desg Laboratory. All rghts reserved. Last updated: Yeh-Lag Hsu (--). Note: Ths s the course materal for ME55 Geometrc modelg ad computer graphcs, Yua Ze Uversty.

More information

Logic Spring Final Review

Logic Spring Final Review Idirect Argumet: Cotrdictios d Cotrpositio. Prove the followig by cotrdictio d by cotrpositio. Give two seprte proofs. The egtive of y irrtiol umber is irrtiol. b. For ll iteger, if ² is odd the is odd.

More information

COMSC 2613 Summer 2000

COMSC 2613 Summer 2000 Programmg II Fal Exam COMSC 63 Summer Istructos: Name:. Prt your ame the space provded Studet Id:. Prt your studet detfer the space Secto: provded. Date: 3. Prt the secto umber of the secto whch you are

More information

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS COMPUTATION & LOGIC Sturdy st April 7 : to : INSTRUCTIONS TO CANDIDATES This is tke-home exercise. It will not

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

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

. (b) Evaluate the sum given by. Exercise #1: A sequence is defined by the equation a n 2n

. (b) Evaluate the sum given by. Exercise #1: A sequence is defined by the equation a n 2n Nme: 453 Dte: SEQUENCES ALGEBRA WITH TRIGONOMETRY Sequeces, or ordered list of umbers, re extremely importt i mthemtics, both theoreticl d pplied A sequece is formlly defied s fuctio tht hs s its domi

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

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

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

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

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

SATB Template. k k k k. rise, my dear make haste and be gone be gone thee, lo here the bride, af j j k k k k k k j k k k j M

SATB Template. k k k k. rise, my dear make haste and be gone be gone thee, lo here the bride, af j j k k k k k k j k k k j M STB Templte Cntus ltus Tenor f D l l l l m f D l m fd z - rse. get up my e - rse. get up my der get up my der, wht I sy, - rse, get up my der, get up my der 8 12 15 f z der, - rse my der, me hste

More information

Fitting. We ve learned how to detect edges, corners, blobs. Now what? We would like to form a. compact representation of

Fitting. We ve learned how to detect edges, corners, blobs. Now what? We would like to form a. compact representation of Fttg Fttg We ve leared how to detect edges, corers, blobs. Now what? We would lke to form a hgher-level, h l more compact represetato of the features the mage b groupg multple features accordg to a smple

More information

EXPONENT RULES Add Multiply Subtraction Flip

EXPONENT RULES Add Multiply Subtraction Flip Algebr II Finl Em Review Nme Chpter 7 REVIEW: EXPONENT RULES Add Multiply Subtrction Flip Simplify the epression using the properties of eponents. Assume ll vribles re positive. 4 4. 8 8.. 4. 5. 9 9 5

More information

Gauss-Seidel Method. An iterative method. Basic Procedure:

Gauss-Seidel Method. An iterative method. Basic Procedure: Guss-Siedel Method Guss-Seidel Method A itertive method. Bsic Procedure: -Algebriclly solve ech lier equtio for i -Assume iitil guess solutio rry -Solve for ech i d repet -Use bsolute reltive pproimte

More information

LP: example of formulations

LP: example of formulations LP: eample of formulatos Three classcal decso problems OR: Trasportato problem Product-m problem Producto plag problem Operatos Research Massmo Paolucc DIBRIS Uversty of Geova Trasportato problem The decso

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

Section 3.2: Arithmetic Sequences and Series

Section 3.2: Arithmetic Sequences and Series Sectio 3.: Arithmetic Sequeces Series Arithmetic Sequeces Let s strt out with efiitio: rithmetic sequece: sequece i which the ext term is fou by ig costt (the commo ifferece ) to the previous term Here

More information

Ma/CS 6b Class 1: Graph Recap

Ma/CS 6b Class 1: Graph Recap M/CS 6 Clss 1: Grph Recp By Adm Sheffer Course Detils Adm Sheffer. Office hour: Tuesdys 4pm. dmsh@cltech.edu TA: Victor Kstkin. Office hour: Tuesdys 7pm. 1:00 Mondy, Wednesdy, nd Fridy. http://www.mth.cltech.edu/~2014-15/2term/m006/

More information

COMPUTATIONAL INTELLIGENCE

COMPUTATIONAL INTELLIGENCE COMPUTATIONAL INTELLIGENCE LABORATORY CLASSES Immentton smplstc verson of the network for some nference resons Adrn Horzyk IMPLEMENTATION OF THE SIMPLISTIC OR AANG Imment the smplstc verson of n structure

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

)

) 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

Point Estimation-III: General Methods for Obtaining Estimators

Point Estimation-III: General Methods for Obtaining Estimators Pot Estmato-III: Geeral Methods for Obtag Estmators RECAP 0.-0.6 Data: Radom Sample from a Populato of terest o Real valued measuremets: o Assumpto (Hopefully Reasoable) o Model: Specfed Probablty Dstrbuto

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

MSTH 236 ELAC SUMMER 2017 CP 1 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MSTH 236 ELAC SUMMER 2017 CP 1 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MSTH 236 ELAC SUMMER 2017 CP 1 SHORT ANSWER. Write the word or phrse tht best completes ech sttement or nswers the question. Find the product. 1) (8y + 11)(4y 2-2y - 9) 1) Simplify the expression by combining

More information

Cubic fuzzy H-ideals in BF-Algebras

Cubic fuzzy H-ideals in BF-Algebras OSR Joural of Mathematcs (OSR-JM) e-ssn: 78-578 p-ssn: 39-765X Volume ssue 5 Ver (Sep - Oct06) PP 9-96 wwwosrjouralsorg Cubc fuzzy H-deals F-lgebras Satyaarayaa Esraa Mohammed Waas ad U du Madhav 3 Departmet

More information

Preventing Information Leakage in C Applications Using RBAC-Based Model

Preventing Information Leakage in C Applications Using RBAC-Based Model Proceedgs of the 5th WSEAS It. Cof. o Software Egeerg Parallel ad Dstrbuted Systems Madrd Spa February 5-7 2006 (pp69-73) Prevetg Iformato Leakage C Applcatos Usg RBAC-Based Model SHIH-CHIEN CHOU Departmet

More information

A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS

A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS ISSN: 39-8753 Iteratoal Joural of Iovatve Research Scece, Egeerg ad Techology A ISO 397: 7 Certfed Orgazato) Vol. 3, Issue, Jauary 4 A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS

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

Can Pythagoras Swim?

Can Pythagoras Swim? Overview Ativity ID: 8939 Mth Conepts Mterils Students will investigte reltionships etween sides of right tringles to understnd the Pythgoren theorem nd then use it to solve prolems. Students will simplify

More information

Naming 3D objects. 1 Name the 3D objects labelled in these models. Use the word bank to help you.

Naming 3D objects. 1 Name the 3D objects labelled in these models. Use the word bank to help you. Nming 3D ojects 1 Nme the 3D ojects lelled in these models. Use the word nk to help you. Word nk cue prism sphere cone cylinder pyrmid D A C F A B C D cone cylinder cue cylinder E B E prism F cue G G pyrmid

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

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

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

APPLICATIONS OF INTEGRATION

APPLICATIONS OF INTEGRATION Chpter 3 DACS 1 Lok 004/05 CHAPTER 5 APPLICATIONS OF INTEGRATION 5.1 Geometricl Interprettion-Definite Integrl (pge 36) 5. Are of Region (pge 369) 5..1 Are of Region Under Grph (pge 369) Figure 5.7 shows

More information

A Five-Point C 4 Non-Stationary Subdivision Scheme

A Five-Point C 4 Non-Stationary Subdivision Scheme J. Bsc. Appl. Sc. Res. ()5-6 TextRod Pulcto ISSN 9- Jourl of Bsc d Appled Scetfc Reserch www.textrod.co A Fve-Pot C No-Sttory Sudvso Schee Shhd Seed Sddq Muhd Yous Deprtet of Mthetcs Uversty of the Pu

More information

Fall 2017 Midterm Exam 1 October 19, You may not use any books, notes, or electronic devices during this exam.

Fall 2017 Midterm Exam 1 October 19, You may not use any books, notes, or electronic devices during this exam. 15-112 Fll 2017 Midterm Exm 1 October 19, 2017 Nme: Andrew ID: Recittion Section: You my not use ny books, notes, or electronic devices during this exm. You my not sk questions bout the exm except for

More information

Descriptive Statistics: Measures of Center

Descriptive Statistics: Measures of Center Secto 2.3 Descrptve Statstcs: Measures of Ceter Frequec dstrbutos are helpful provdg formato about categorcal data, but wth umercal data we ma wat more formato. Statstc: s a umercal measure calculated

More information

PARALLEL AND DISTRIBUTED COMPUTING

PARALLEL AND DISTRIBUTED COMPUTING PARALLEL AND DISTRIBUTED COMPUTING 2009/2010 1 st Semester Teste Jnury 9, 2010 Durtion: 2h00 - No extr mteril llowed. This includes notes, scrtch pper, clcultor, etc. - Give your nswers in the ville spce

More information

NUMERICAL INTEGRATION BY GENETIC ALGORITHMS. Vladimir Morozenko, Irina Pleshkova

NUMERICAL INTEGRATION BY GENETIC ALGORITHMS. Vladimir Morozenko, Irina Pleshkova 5 Iteratoal Joural Iformato Theores ad Applcatos, Vol., Number 3, 3 NUMERICAL INTEGRATION BY GENETIC ALGORITHMS Vladmr Morozeko, Ira Pleshkova Abstract: It s show that geetc algorthms ca be used successfully

More information

An Estimation of Earthenware s Surface Shape Using Quadric Surfaces

An Estimation of Earthenware s Surface Shape Using Quadric Surfaces NICOGRAPH Itertol 3, pp. 4-3 A Estmto of Erthewre s Surfce Shpe Usg Qudrc Surfces Tsutomu Kosht Ktsutugu Mtsum Kouch Koo Grdute school of Egeerg, Iwte Uv. pxw566@ft.com, kmtsu@wte-u.c.jp, koo@eecs.wte-u.c.jp

More information

Solving a Fully Fuzzy Linear Programming Problem by Ranking

Solving a Fully Fuzzy Linear Programming Problem by Ranking Itertol Jourl of Mthemtcs Treds d Techology Volume 9 Number My 4 Solvg Fully Fuzzy Ler Progrmmg Problem by Rkg P. Rreswr Deprtmet of Mthemtcs Chkk Govermet rts College Trupur..Shy Sudh Deprtmet of Mthemtcs

More information

APR 1965 Aggregation Methodology

APR 1965 Aggregation Methodology Sa Joaqu Valley Ar Polluto Cotrol Dstrct APR 1965 Aggregato Methodology Approved By: Sged Date: March 3, 2016 Araud Marjollet, Drector of Permt Servces Backgroud Health rsk modelg ad the collecto of emssos

More information

How to Design REST API? Written Date : March 23, 2015

How to Design REST API? Written Date : March 23, 2015 Visul Prdigm How Design REST API? Turil How Design REST API? Written Dte : Mrch 23, 2015 REpresenttionl Stte Trnsfer, n rchitecturl style tht cn be used in building networked pplictions, is becoming incresingly

More information

Solutions to Math 41 Final Exam December 12, 2011

Solutions to Math 41 Final Exam December 12, 2011 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:

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

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

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers Wht do ll those bits men now? bits (...) Number Systems nd Arithmetic or Computers go to elementry school instruction R-formt I-formt... integer dt number text chrs... floting point signed unsigned single

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

Systems I. Logic Design I. Topics Digital logic Logic gates Simple combinational logic circuits

Systems I. Logic Design I. Topics Digital logic Logic gates Simple combinational logic circuits Systems I Logic Design I Topics Digitl logic Logic gtes Simple comintionl logic circuits Simple C sttement.. C = + ; Wht pieces of hrdwre do you think you might need? Storge - for vlues,, C Computtion

More information

Gauss-Siedel Method. Major: All Engineering Majors. Authors: Autar Kaw

Gauss-Siedel Method. Major: All Engineering Majors. Authors: Autar Kaw Guss-Siedel Method Mjor: All Egieerig Mjors Authors: Autr Kw http://umericlmethods.eg.usf.edu Trsformig Numericl Methods Eductio for STEM Udergrdutes 4//06 http://umericlmethods.eg.usf.edu Guss-Seidel

More information

CIS 1068 Program Design and Abstraction Spring2015 Midterm Exam 1. Name SOLUTION

CIS 1068 Program Design and Abstraction Spring2015 Midterm Exam 1. Name SOLUTION CIS 1068 Progrm Design nd Astrction Spring2015 Midterm Exm 1 Nme SOLUTION Pge Points Score 2 15 3 8 4 18 5 10 6 7 7 7 8 14 9 11 10 10 Totl 100 1 P ge 1. Progrm Trces (41 points, 50 minutes) Answer the

More information

1.4 Circuit Theorems

1.4 Circuit Theorems . Crcut Theorems. v,? (C)V, 5 6 (D) V, 6 5. A smple equvlent crcut of the termnl 6 v, network shown n fg. P.. s Fg. P... (A)V, (B)V, v (C)V,5 (D)V,5 Fg. P....,? 5 V, v (A) (B) Fg. P... (A)A, 0 (B) 0 A,

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

Assignment 11 (The Last One) Due Date for Programs: December 13, 2016

Assignment 11 (The Last One) Due Date for Programs: December 13, 2016 Jonn Klukowsk jonnkl@cs.nyu.edu Due Dte for Progrms: December 13, 2016 Problem 1 (10 points): Wht does this code do? Tke look t code below nd output tht it produces. Try to figure out exctly wht is going

More information

But the Dog REALLY DID Eat My Homework! Two-part Chorus and Piano

But the Dog REALLY DID Eat My Homework! Two-part Chorus and Piano 2 B.V. But the Dog REALLY DD Et My Home! Two-prt Chorus nd o Bill Vollger Rnges: rt rt T sg is true sry. Kyle Ng s dog Keiko, seven-mth-old Boxer-Germn Shepd mix, relly did et home. But noody elieved him,

More information

Patterns and Algebra. My name. Series

Patterns and Algebra. My name. Series Student Techer Ptterns nd Alger My nme Series D Copyright 009 P Lerning. All rights reserved. First edition printed 009 in Austrli. A ctlogue record for this ook is ville from P Lerning Ltd. ISBN 978--9860--

More information

COMPUTATIONAL INTELLIGENCE

COMPUTATIONAL INTELLIGENCE COMPUTATIONAL INTELLIGENCE LABORATORY CLASSES Immentton smplstc verson of the or AANG network for some nference resons Adrn Horzyk IMPLEMENTATION OF THE SIMPLISTIC OR AANG Imment the smplstc verson of

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

Flattened C Code. Agenda. Flattened C Code. Agenda. Assembly Language: Part 2. Princeton University. Flattened C Code

Flattened C Code. Agenda. Flattened C Code. Agenda. Assembly Language: Part 2. Princeton University. Flattened C Code Prceto Uversty Computer Scece 7: Itroducto to Progrmmg Systems Aged Fltteed C code Assembly Lguge: Prt Cotrol flow wth sged tegers Cotrol flow wth usged tegers Assembly Lguge: Defg globl dt Arrys Fltteed

More information

A Comparison of Univariate Smoothing Models: Application to Heart Rate Data Marcus Beal, Member, IEEE

A Comparison of Univariate Smoothing Models: Application to Heart Rate Data Marcus Beal, Member, IEEE A Comparso of Uvarate Smoothg Models: Applcato to Heart Rate Data Marcus Beal, Member, IEEE E-mal: bealm@pdx.edu Abstract There are a umber of uvarate smoothg models that ca be appled to a varety of olear

More information

International Mathematical Forum, 1, 2006, no. 31, ON JONES POLYNOMIALS OF GRAPHS OF TORUS KNOTS K (2, q ) Tamer UGUR, Abdullah KOPUZLU

International Mathematical Forum, 1, 2006, no. 31, ON JONES POLYNOMIALS OF GRAPHS OF TORUS KNOTS K (2, q ) Tamer UGUR, Abdullah KOPUZLU Iteratoal Mathematcal Forum,, 6, o., 57-54 ON JONES POLYNOMIALS OF RAPHS OF TORUS KNOTS K (, q ) Tamer UUR, Abdullah KOPUZLU Atatürk Uverst Scece Facult Dept. of. Math. 54 Erzurum, Turkey tugur@atau.edu.tr

More information

SERIES. Patterns and Algebra OUT. Name

SERIES. Patterns and Algebra OUT. Name D Techer Student Book IN OUT 8 Nme Series D Contents Topic Section Ptterns Answers nd (pp. functions ) identifying ptterns nd nd functions_ creting ptterns_ skip equtions counting nd equivlence completing

More information

Very sad code. Abstraction, List, & Cons. CS61A Lecture 7. Happier Code. Goals. Constructors. Constructors 6/29/2011. Selectors.

Very sad code. Abstraction, List, & Cons. CS61A Lecture 7. Happier Code. Goals. Constructors. Constructors 6/29/2011. Selectors. 6/9/ Abstrction, List, & Cons CS6A Lecture 7-6-9 Colleen Lewis Very sd code (define (totl hnd) (if (empty? hnd) (+ (butlst (lst hnd)) (totl (butlst hnd))))) STk> (totl (h c d)) 7 STk> (totl (h ks d)) ;;;EEEK!

More information

Summer Review Packet For Algebra 2 CP/Honors

Summer Review Packet For Algebra 2 CP/Honors Summer Review Pcket For Alger CP/Honors Nme Current Course Mth Techer Introduction Alger uilds on topics studied from oth Alger nd Geometr. Certin topics re sufficientl involved tht the cll for some review

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

Eight Solved and Eight Open Problems in Elementary Geometry

Eight Solved and Eight Open Problems in Elementary Geometry Eght Solved ad Eght Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew eght prevous proposed ad solved problems of elemetary

More information

From Dependencies to Evaluation Strategies

From Dependencies to Evaluation Strategies From Dependencies to Evlution Strtegies Possile strtegies: 1 let the user define the evlution order 2 utomtic strtegy sed on the dependencies: use locl dependencies to determine which ttriutes to compute

More information

Nine Solved and Nine Open Problems in Elementary Geometry

Nine Solved and Nine Open Problems in Elementary Geometry Ne Solved ad Ne Ope Problems Elemetary Geometry Floret Smaradache Math & Scece Departmet Uversty of New Mexco, Gallup, US I ths paper we revew e prevous proposed ad solved problems of elemetary D geometry

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

Assembly Instructions

Assembly Instructions ssemly Instructions 1 Plstic dust cover Scnner 3 Rer le op r with guide 5 eg (x) Mintennce kit 7 ssemly kit Power cles 9 Cross r Bottom r hp designjet copier cc00ps system recovery cd-rom 1 Front pnel

More information

Order these angles from smallest to largest by wri ng 1 to 4 under each one. Put a check next to the right angle.

Order these angles from smallest to largest by wri ng 1 to 4 under each one. Put a check next to the right angle. Lines nd ngles Connect ech set of lines to the correct nme: prllel perpendiculr Order these ngles from smllest to lrgest y wri ng to 4 under ech one. Put check next to the right ngle. Complete this tle

More information

DETAIL SPECIFICATION SHEET CONNECTORS, ELECTRICAL, PRINTED WIRING BOARD RECEPTACLE, CARD INSERTION, CONTACT SPACING (.156), TYPES A AND AD

DETAIL SPECIFICATION SHEET CONNECTORS, ELECTRICAL, PRINTED WIRING BOARD RECEPTACLE, CARD INSERTION, CONTACT SPACING (.156), TYPES A AND AD IN-POUND MIL-DTL-1097/1 w/mendment 1 1 uly 011 SUPERSEDING MIL-DTL-1097/1 7 pril 010 DETIL SPEIFITION SEET ONNETORS, ELETRIL, PRINTED WIRING ORD REEPTLE, RD INSERTION, ONTT SPING (.156), TYPES ND D This

More information

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays COMPSCI 5 SS Principles of Computer Science Arrys & Multidimensionl Arrys Agend & Reding Agend Arrys Creting & Using Primitive & Reference Types Assignments & Equlity Pss y Vlue & Pss y Reference Copying

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

N-Level Math (4045) Formula List. *Formulas highlighted in yellow are found in the formula list of the exam paper. 1km 2 =1000m 1000m

N-Level Math (4045) Formula List. *Formulas highlighted in yellow are found in the formula list of the exam paper. 1km 2 =1000m 1000m *Formul highlighted in yellow re found in the formul lit of the em pper. Unit Converion Are m =cm cm km =m m = m = cm Volume m =cm cm cm 6 = cm km/h m/ itre =cm (ince mg=cm ) 6 Finncil Mth Percentge Incree

More information

Ternary Three Point Non-Stationary Subdivision Scheme

Ternary Three Point Non-Stationary Subdivision Scheme Reserch Jourl of Appled Sceces, Egeerg Techology (): 75-, ISSN: -767 Mxwell Scetfc Orgzto, Submtted: Jury, Accepted: Februry 7, Publshed: July, Terry Three Pot No-Sttory Subdvso Scheme Shhd S. Sddq Muhmmd

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

ChEn 475 Statistical Analysis of Regression Lesson 1. The Need for Statistical Analysis of Regression

ChEn 475 Statistical Analysis of Regression Lesson 1. The Need for Statistical Analysis of Regression Statstcal-Regresso_hadout.xmcd Statstcal Aalss of Regresso ChE 475 Statstcal Aalss of Regresso Lesso. The Need for Statstcal Aalss of Regresso What do ou do wth dvdual expermetal data pots? How are the

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

Date: 9.1. Conics: Parabolas

Date: 9.1. Conics: Parabolas Dte: 9. Conics: Prols Preclculus H. Notes: Unit 9 Conics Conic Sections: curves tht re formed y the intersection of plne nd doulenpped cone Syllus Ojectives:. The student will grph reltions or functions,

More information

Matrices and Systems of Equations

Matrices and Systems of Equations Mtrices Mtrices nd Sstems of Equtions A mtri is rectngulr rr of rel numbers. CHAT Pre-Clculus Section 8. m m m............ n n n mn We will use the double subscript nottion for ech element of the mtri.

More information

Chapter44. Polygons and solids. Contents: A Polygons B Triangles C Quadrilaterals D Solids E Constructing solids

Chapter44. Polygons and solids. Contents: A Polygons B Triangles C Quadrilaterals D Solids E Constructing solids Chpter44 Polygons nd solids Contents: A Polygons B Tringles C Qudrilterls D Solids E Constructing solids 74 POLYGONS AND SOLIDS (Chpter 4) Opening prolem Things to think out: c Wht different shpes cn you

More information

CURVE FITTING AND DATA REGRESSION

CURVE FITTING AND DATA REGRESSION Numercl Methods Process Sstems Engneerng CURVE FIING AND DAA REGRESSION Numercl methods n chemcl engneerng Dr. Edwn Zondervn Numercl Methods Process Sstems Engneerng Dngerous curves!!! hs s not ectl wht

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

On a Sufficient and Necessary Condition for Graph Coloring

On a Sufficient and Necessary Condition for Graph Coloring Ope Joural of Dscrete Matheatcs, 04, 4, -5 Publshed Ole Jauary 04 (http://wwwscrporg/joural/ojd) http://dxdoorg/0436/ojd04400 O a Suffcet ad Necessary Codto for raph Colorg Maodog Ye Departet of Matheatcs,

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

Princeton University Computer Science 217: Introduction to Programming Systems. Agenda. Assembly Language: Part 2. Flattened C Code.

Princeton University Computer Science 217: Introduction to Programming Systems. Agenda. Assembly Language: Part 2. Flattened C Code. Prceto Uversty omputer Scece 7: Itroducto to Progrmmg Systems Aged Assembly Lguge: Prt code otrol flow wth sged tegers otrol flow wth usged tegers Assembly Lguge: Defg globl dt Arrys ode Problem Trsltg

More information

3n

3n Prctice Set 6 Sequeces d Series Clcultor Required Objectives Alyze ptters i sequeces to determie subsequet terms. Fid the first four terms of sequece give equtio for. Fid expressio for give sequece. Expd

More information

Data Structures and Algorithms(2)

Data Structures and Algorithms(2) Mg Zhag Data Structures ad Algorthms Data Structures ad Algorthms(2) Istructor: Mg Zhag Textbook Authors: Mg Zhag, Tegjao Wag ad Haya Zhao Hgher Educato Press, 2008.6 (the "Eleveth Fve-Year" atoal plag

More information