1 Page

Problem Set 1

Course: ORIE 3310, Spring 2009
School: Cornell
Rating:
 
 
 
 
 

Word Count: 240

Document Preview

3300/5300 ORIE Prof. Bland Problem Set 1 Fall 2009 Due: never This very short problem set is a continuation of Recitation Exercise 1. It will not be collected, but you should work these 2 problems and write out your solutions. Please complete problem 2 before the 9/8 lecture. Please complete problem 3 before the 9/10 lecture. Problems labeled numbers 2 and 3 below refer back to problem number 1 from the...

Register Now

Unformatted Document Excerpt

Coursehero >> New York >> Cornell >> ORIE 3310

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
3300/5300 ORIE Prof. Bland Problem Set 1 Fall 2009 Due: never This very short problem set is a continuation of Recitation Exercise 1. It will not be collected, but you should work these 2 problems and write out your solutions. Please complete problem 2 before the 9/8 lecture. Please complete problem 3 before the 9/10 lecture. Problems labeled numbers 2 and 3 below refer back to problem number 1 from the Recitation Exercise. 2. (a) In part 1(i) you worked with the brew new.dat data and found that the output from display Scarcity has values 1.32353 for corn, 0 for hops and 0.258824 for malt. Calculate the sum over the three scarce resources of the product of the value above times the availability of that resource (1.32353 600 + 0 480 0.258824 + 1200). Compare (to three decimal places) this value with the optimal objective function value (which you found in part (e(ii)) for this version of the brewery problem. (b) Repeat for the versions of the brewery problem examined in parts 1(a), 1c(i) and 1(d). 3. (a) Make an accurate drawing of the feasible region, the set of all feasible production programs (xA , xB ) for the brewery problem of part 1(a). (For shorthand here, I am asking you to denote by (xA , xB ) the pair (M ake(ALE), M ake(BEER)) from the AMPL solution.) Use graph paper or a drawing program that allows for similar accuracy. (b) On the figure from part 2(a) label all of the optimal solutions that you encountered in part 1(b) (your list from 1(b)(iv)).
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Cornell - ORIE - 3310
ORIE 3300/5300 Optimization I Homework #2 SolutionsFall 20092.(a) An algebraic model: max 2200x1 + 2695x2 + 3190x3 - T subject to : 1.75x1 + 1.9x2 + 2x3 1500 2x1 + 2x2 + 4x3 3000 14x1 + 16x2 + 23x3 14200 9x1 + 15x2 + 15x3 10500 1x1 + 1x2 + 1x3 700 14x1
Cornell - ORIE - 3310
ORIE 3300/5300 Prof. Bland Problem Set 2Fall 2009 Due 9/15/2009, 11:40 a.m.Submit hardcopy at the beginning of lecture on 9/15. Late submissions will be accepted with no penalty until 4:30 p.m. on 9/17; no submissions will be accepted later than that. L
Cornell - ORIE - 3310
Cornell - ORIE - 3310
ORIE 3300/5300 Prof. Bland Problem Set 3 Due 9/22/2009, 11:40 a.m.Fall 2009Submit at the beginning of lecture. Submit hardcopy with the standard problem set cover sheet as the first page. Late submissions will be accepted with no penalty until 11:40 a.m
Cornell - ORIE - 3310
PRELIM 1ORIE 3310/5310February 19, 2009Closed book exam. Justify all work. 1. Consider again the the following problem from the homework assignment. The standard decomposition procedure is applied using two subproblems (SUB1, SUB2): ORIGINAL PROBLEM ma
Cornell - ORIE - 3310
ORIE 3310/5310 Practice Prelim 2 (Spr2009) SolutionsSpring 20101. (a) See class notes on Bellman's algorithm (for finding a shortest (1, n)-path in a directed acyclic graph). (b) Now suppose we wish to find a shortest (1, n)-path which contains a specif
Cornell - ORIE - 3310
PRELIM 2Closed book exam. Justify all work. 1.ORIE 3310/5310March 12, 2009a. (10) Explain Bellman's basic procedure for determining a shortest path in a directed acyclic graph; i.e., give (and explain) the optimal value function and recursive equation
Cornell - ORIE - 3310
Cornell - ORIE - 3310
PRELIM 3Closed book exam. Justify all work.ORIE 3310/5310April 14, 20091. A supply-demand network is a digraph G = (V, E) , for which V = S D I , with the disjoint subsets S, D, I denoting, respectively, supply, demand, and intermediate nodes. For eac
Cornell - ORIE - 3310
ORIE 3310/5310: Prelim 4 Solutions and grading scheme (problems 2, 3) 2(a) Give the cut developed by Gomory for the standard form integer programming problem with A, b, c integer-valued: maxcfw_cs | Ax = b, x 0, x integral Solution. Consider an optimal ba
Cornell - ORIE - 3310
PRELIM 4Closed book exam. Justify all work. 1.ORIE 3310/5310April 28, 2009a. (25 points) You work as an OR analyst for a manufacturing corporation which has production sites i = 1, . . . , m and distribution (sales) centers j = 1, . . . , n . The (int
Cornell - ORIE - 3310
Cornell - ORIE - 3310
1 HIGHER DIMENSIONAL RANDOM VECTORSLecture 8ORIE3500/5500 Summer2009 ChenClass Today Random Vectors with higher dimensions Independent Random Variables1Higher Dimensional Random VectorsIt is the expected extension of bivariate random vectors to hig
Cornell - ORIE - 3310
1 MOMENT GENERATING FUNCTIONLecture 13ORIE3500/5500 Summer2009 ChenClass Today Moment Generating Function Characteristics Function Inequalities1Moment Generating FunctionX (t) = E(etX ).For a random variable X, the moment generating function of X
Cornell - ORIE - 3310
1 LAW OF LARGE NUMBERSLecture 14ORIE3500/5500 Summer2009 ChenClass Today Law of Large Numbers Convergence Normal (Gaussian) Distribution1Law of Large NumbersThe law of large numbers or l.l.n. is one of the most important theorems in probability and
Cornell - ORIE - 3310
1 POISSON PROCESSLecture 18ORIE3500/5500 Summer2009 ChenClass Today Poisson Process Geometric and Negative Binomial Distribution1Poisson ProcessThe Poisson distribution is used heavily to model queues, number of phone call received in a time period
Cornell - ORIE - 3310
Cornell - ORIE - 3510
MEMORANDUM OF UNDERSTANDINGWe, the undersigned agree that the following terms will modify the existing working agreement between the Adam Baxter Company, Deloitte, and Local 190 of the AFUICIO:(Additional sheets may be attached)All negotiators sign bel
Cornell - ORIE - 3510
NegotiationsProfessor Yu Yang E-mail: yy368@cornell.eduClass 09, March 29, 2010Class Plan2:55 3:05 3:05 4:05 4:05 4:20 4:20 5:20 5:20 5:25 Intro and logistics ABC/Local 190 Team meeting Break ABC/Local 190 Round 1 Back to class room Turn in outcome an
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesHomework 8: Continuous Time Markov Chains Due 2:30pm, (Friday!) April 9, 2010 (drop box)Spring 2010Be sure to write your name and section number or day&time on your homework. In all questions, be
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSpring 2010Exam Preparedness Make sure that you have all 'memorizable' facts memorized. That is, all the facts about stationary/limiting distributions, properties of exponential distribution, Pois
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSection 6Spring 2010Problem 1 Let cfw_Xn be a DTMC with TPM P . Let A S, and suppose we want to compute P (X enters A by time m) = P (Xk A , for some k = 1, . . . , m|X0 = i) =: . To determine ,
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesMidterm Review SessionSpring 2010DTMCs DTMC completely determined by its transition matrix P (along with an initial distribution for X0 ). Always work with conditional probabilities: 1-step tran
Cornell - ORIE - 3510
Notes for Section Feb 1-5ORIE 3510Problem 4.5Have Markov chain cfw_Xn , n = 0, 1, . . . with transition matrix 1/2 1/3 1/6 P = 0 1/3 2/3 1/2 0 1/2 and initial distribution 1/4 i = 0 1/4 i = 1 . i = P (X0 = i) = 1/2 i = 2 Get 3-step transition matrix P(
Cornell - ORIE - 3510
Notes for Section Feb 8-12ORIE 3510Review accessibility, communication, decomposition of state space, irreducibility transience, recurrence, positive recurrence, periodicity, ergodicity as solidarity (class) properties limiting probabilities, stationar
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSection 3Spring 2010Review Recurrence (positive and null), transience, periodicity and ergodicity Limiting and stationary distributions & long-run proportions. Problem 4.29 We have N employees, w
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSection 4 problemsSpring 2010Problem 1: Ross, 4.67 Problem 2: Zeke prevents bankruptcy Without benefit of dirty tricks, Harry's restaurant business fluctuates in successive years between three st
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSection 4Spring 2010Review Stationary distribution interpretations Computation of Steady-state costs/rewards Transient state analysis (expected number of visits to transient states & absorption p
Cornell - ORIE - 3510
ORIE3510Introduction to Engineering Stochastic ProcessesSection 5 problemsSpring 20105.20 Consider a two-server system in which a customer is served first by server 1, then by server 2, then departs. The service times at server i are exponential rando
Cornell - ENGRD - 270
ENGRD 2700, Spring'09Prelim 1 SolutionsPrelim 1 SolutionsFeb 19, 2009 Solution to Problem 1. Let us define the events D E := := The building gets an award for its design The building gets an award for environmental efficiencyWe are given that P (D) P
Cornell - ENGRD - 270
ENGRD 2700, Spring `09Prelim 2Prelim 2 SolutionsApr 9, 2009 Problem 1 (a) A right-skewed density function looks like this:The right tail is longer, and the mass of the distribution is concentrated on the left of the figure. If an iid sample comes from
Cornell - ENGRD - 270
ENGRD 2700 Basic Engineering Probability and Statistics Lecture 6: Independence; Random Variables and their DistributionsDavid S. MattesonSchool of Operations Research and Information Engineering Rhodes Hall, Cornell University Ithaca NY 14853 USAIndep
Cornell - ENGRD - 270
ENGRD 2700 Basic Engineering Probability and Statistics Lecture 15: Point Estimation: MethodsDavid S. MattesonSchool of Operations Research and Information Engineering Rhodes Hall, Cornell University Ithaca NY 14853 USA dm484@cornell.edu March 23, 2009
BYU - BOM 201 - 201
Introduction to the Book of Mormon (1 Nephi Alma 29)Instructor: Sherrie Mills Johnson, PhDOffice: JSB 316RPhone: 422-3197Email: smillsjo@gmail.comOffice hours: Tuesday 9 10:00 or by appointmentRequired Texts: Book of Mormon, Book of Mormon Student M
BYU - BOM 201 - 201
Hymn # An Angel From On High13:There are 239 chaptersin the Book of Mormon.Only 6 do not mentionChristWritten by MoroniWritten to Lamanites,J ews, and GentilesWritten bycommandmentPurpose: To show the things theL ord has done To teach the c
BYU - BOM 201 - 201
Hymn #239: Choose The RightAgencyAgency=theabilitytomakechoices.MoralAgency=theabilitytochoosebetweengoodandevilortheabilitytomakemoralchoices.Freedom=theabilitytocarryoutthechoiceswehavemade.Moral AgencyNon-Moral AgencyFreedom1. Commandment i
BYU - BOM 201 - 201
Hymn 130 Be Thou HumbleThe River LamanThe Valley CoveReasoning(1Nephi4:1018)ConstrainedNeverconcernedforself.Knowswhoisdirectinghim.Lehiisthefamilypatriarch.Howdoesheusehispriesthood?D&C121:4142Nopowerorinfluencecanoroughttobemaintainedbyvir
BYU - BOM 201 - 201
Hymn#274:TheIronRodLehisDreamLehisDreamOldWorldministryofJesusChristNewWorldministryofJesusChristApostasyandRestorationSymbolsintheDreamSymbolsintheDreamRodofiron8:20Straightandnarrowpath8:19,11:25,15:2325Spaciousfield8:20Tree8:10,11:22,15:212
BYU - BOM 201 - 201
Hymn#143:LetTheHolySpiritGuideWadiSayqNephiReturnsNephiReturns LehihadspokenmanygreatthingswhichwerehardtobeunderstoodunlessapersonshouldinquireoftheLord.(15:3) Nephiinquired(Hedidsomething). Faithrequiresaction. 1Nephi17:41ChildrenofIsraelBook
BYU - BOM 201 - 201
Hymn#250:WeAreAllEnlistedKeptwhatwenowcallthelargeplatesofNephiorplatesofLehiCommandedtomakeanewrecordwhichwenowcallthesmallplatesofNephiThisrecordwasbegun30yearsafterheleftJerusalem(2Ne.5:2830)TheserecordsaretotestifyofChrist19:81719:1819:2
BYU - BOM 201 - 201
Hymn #237: Do What Is RightWordstoExploreProsper(2Nephi1:9&20)oTosucceedesp.economicallyTobecomestrongandflourishTobefortunate,thrive,dowellCurse2Nephi1:18OriginalHebrewdefinition:ToreceivelessthatwasintendedorpossibleSecurity(2Nephi1:32)Fr
BYU - BOM 201 - 201
Hymn #59: Come, O Thou King of KingsILovetheLordILovetheLordNephisPsalmNephisPsalmNephi4:1635CalledNephisPsalmorNephisLamentWeseeNephidiscouragedandlearnhowtoovercomediscouragement.InthispsalmNephi:promisespraisespraysAnditcametopass.Thisp
BYU - BOM 201 - 201
Hymn #111: Rock of AgesHymn #223: Have I Done Any Good?Covenants2 Nephi 9:1Covenant a binding and solemn compact, agreement,contract, or mutual promise between God and a single personor a group of chosen persons.The new and everlasting covenant If
ITESM - MKT - 16
IX Congreso Internacional de ErgonomaMxico, D.F., 26 al 28 de abril de 2007LaergonomacomobaseparalograrlainnovacinDazFurtado,SilviaLicenciadaenDiseoIndustrialCEDIM(CentrodeEstudiosSuperioresdeDiseodeMonterrey)silviadiazf@gmail.com,sidiaz@cedim.edu.m
ITESM - MKT - 16
David ReportTIME TORETHINKDESIGNissue 12/March 2010YOUR PATHFINDER INTO THE FUTUREForewordHas Design reached its sell by date?Have we not fulfilled Designs 20th Centurys mission tomarket, style, brand, and added value, to innovate andto experime
ITESM - MKT - 16
VIICongresodeFormacinSocial:HaciaunaciudadanasolidariaIntercambiodeExperienciasEmpataycolaboracindediseadoresindustrialesconpoblacionesespecialesAutores:Naoko Takeda TodaMaradelCarmenVillarrealErhardCampusMonterreyIntroduccinIntroduccin Eldesar
ITESM - MKT - 16
Participacin de losdiscapacitados en el diseofuncional y ergonmico desus necesidades especficasen la vida diariaAbstractM Susana Gens Domenech,M Dolores Gregori GalindoThe term special populations is used in ergonomics to refer to thoseusers or w
ITESM - MKT - 16
ergonomapara el diseoErgonoma para el diseoErgonoma para el diseoCecilia FloresPrimera edicin, 2.001Diseo: Marina GaroneIconografa: Marina Garone y Maia F. MiretISBN 968-5374-02-3 Cecilia FloresD. R. Librara, sa de cvPitgoras 1143-E, Del Valle,
ITESM - MKT - 16
ITESM - MKT - 16
1.- DATOS DE LA ASIGNATURANombre de la asignatura:Carrera:Clave de la asignatura:Horas teora-horas prctica-crditosErgonoma y Factores Humanosdel DesempeoIngeniera IndustrialSPE-07052262.- HISTORIA DEL PROGRAMALugar y fecha deelaboracin orevis
ITESM - MKT - 16
Blue FantasyChampagne DesignBacklit GlassAbstractAbstractArtGlass RustyGlass Rusty Dark RedRainbowArtArtArtStained GlassVidrio Con RelieveAl-FombraArtArtCarpethttp:/luzindirecta.luxisessentia.com/CarpetCarpet CiahoCarpet With Ornament
ITESM - MKT - 16
GERARDO RODRIGUEZ MGE/ ,MANUALDEDISENOINDUSTRIAL;CURSO BASICOUAM-A GGEdiciones G. Gili, S.A. de C.V., Mxico3a. EdicinNinguna parte de esta publicacin, incluido el diseo de la cubierta,Puede reproducirse, almacenarse transmitirse de ninguna forma
ITESM - MKT - 16
COMPUIDEAS-VILLEGASMANUAL PARA LACONSTRUCCION DELDISPOSITIVOINALAMBRICO PARAGANAR EN LASTRAGAMONEDASCOMPUIDEAS-VILLEGASFelicidades! y Gracias por adquirir este manual el cual le guiarapaso a paso en la construccin de su Dispositivo Inalmbrico par
ITESM - MKT - 16
Friday, 13 May 201141st St. Gallen SymposiumWORKSESSIONE10:3012:00Work SessionRoom 9Work Session 3.10Megatrends 2030 a framework for entrepreneurial decisions inturbulent times?Executive SummaryMegatrends set the framework in a volatile world.
ITESM - MKT - 16
IX Congreso Internacional de ErgonomaMxico, D.F., 26 al 28 de abril de 2007LaergonomacomobaseparalograrlainnovacinDazFurtado,SilviaLicenciadaenDiseoIndustrialCEDIM(CentrodeEstudiosSuperioresdeDiseodeMonterrey)silviadiazf@gmail.com,sidiaz@cedim.edu.m
ITESM - MKT - 16
How Neuromarketingworks?How Neuromarketing works?subjective sensationsincentivesBuy somethingPolls are not usefulConscious opinionSensorialFusion of mind and marketing.Goes exactly to your subconsciousApplication of new techniques ofneuroscien
NYU - FINANCE - 402
Finding the Right Financing Mix: TheCapital Structure DecisionNeither a borrower nor a lender beS o m e o n e w h o o b v io u s ly h a te d th is p a r t o f c o r p o r a te n a n c eA s w a th D a m o d a r a n2First PrinciplesI n v e s t in p r
NYU - FINANCE - 402
Capital Structure: The Choices and theTrade offNeither a borrower nor a lender be Someone who obviously hated this part of corporate nanceAswath Damodaran!2!First PrinciplesAswath Damodaran!3!The Choices in FinancingThere are only two w
NYU - FINANCE - 402
Getting to the Optimal:Timing and Financing ChoicesAswath Damodaran!93!Big PictureAswath Damodaran!94!Now that we have an optimal. And an actual. What next?At the end of the analysis of nancing mix (using whatever tool or tools youchoose to
NYU - FINANCE - 402
From Risk & Return Models to Hurdle Rates:Estimation ChallengesThe price of purity is purists Aswath Damodaran!Anonymous87!Inputs required to use the CAPM -The capital asset pricing model yields the following expected return:Expec
NYU - FINANCE - 402
Back to First PrinciplesAswath Damodaran!194!Measuring Investment ReturnsI: The Mechanics of Investment AnalysisShow me the money Aswath Damodaran!from Jerry Maguire195!First PrinciplesAswath Damodaran!196!Measures of return: