B.Sc IInd Year (III - semester) MATHEMATICS FOR SESSION (2013 - 2014 only) Paper-I: Advanced Calculus Maximum Marks: 50 University Exam: 40 Minimum Pass Mark : 35 % Internal Assessment: 10 Time allowed: 3 Hrs. Lectures to be delivered: 5 periods (of 45 minutes duration) per week Instructions for paper-setters The question paper will consist of three sections A‚ B and C. Each of sections A and B will have four questions from the respective sections of
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------------------------------------------------------------------------------------------------------------ Week 1 Introduction Ch.1 Module 1 ------------------------------------------------------------------------------------------------------------ Week 2 Linear Programming Ch. 2 Module 2 HW#1 (LP) ------------------------------------------------------------------------------------------------------------ Week 3 LP: Sensitivity Ch. 3 Module 3 HW#2 Analysis and Computer Solution ------------
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following table gives the time‚ in minutes‚ to perform the tasks at each assembly point for the individual teams. Assembly 2 26 24 26 24 26 Point 3 40 30 28 36 30 4 30 32 36 30 40 5 26 18 18 20 24 Team A B C D E 1 20 22 24 20 20 Formulate a linear programming model that will minimize the total assembly time for a printer. 6. Why is implementation a difficult aspect of the quantitative modeling process? Caston Sigauke 2006 1 7. A post office requires different numbers of full-time employees on
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Liu‚ S. T. and Kao‚ C. (2004) Solving Fuzzy Transportation Problems Based on Extension Principles Torrens‚ P. M. (2000) Mathematical Models: How Land-use and Transportation Models Work Yu‚ X. and Luo‚ C. (2009) An Improved Graph Method for Linear Programming.
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compensation package suite to both the employee and the organization. An objective function is when you have one word that is the keyword. And that keyword is either minimized or maximized. You can do this to a name‚ colon‚ or a linear equation. “Although a particular linear program must have one objective function‚ a model may contain more than one objective declaration.” (Fourer‚ Gay‚ & Kernighan‚ 2003‚ pg. 134‚ Chapter 8). Constraints are a little different than objective functions. But they do
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SY 2011-2012 Ms. derpina derp TABLE OF CONTENTS TITLE PAGE ACKNOWLEDGEMENT ii TOPICS Simple Discount 1 Simple Interest 2 Four types of Interest available 3 Compounded Amount and Compound Interest 4 Linear Programming Problems * Maximization 6 * Minimization 8 Forecasting by Trend Projection 10 Acknowledgement I would like to thank God for guiding and giving me motivation to do this math research paper; my friends for answering
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IMSE2008 Operational Research Techniques Problem Set: Linear Programming Due: Monday‚ October 20‚ 2014 Please submit to the general office of the IMSE department (Ms Kate Lee HW8-17) on Oct 20 Late submission will be discounted by 20% on a daily basis Please e-mail me msong@hku.hk if you have any questions Problem 1. Work through the simplex method step by step to demonstrate that the following problem is unbounded. (5 marks) max 5x1 + x2 + 3x3 + 4x4 s.t. x1 – 2x2 + 4x3
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S.) Elton Mayo (U.S) & L.H.C Tippett (England) 1940s - Multidisciplinary team approaches to complex system problems Simplex method of linear programming Operations research groups (England) and George B. Dantzig (U.S.) 1950-60s - Extensive development of operations research tools Simulation‚ waiting-line theory‚ decision theory‚ mathematical programming‚ project Many researchers in the U.S. and Western Europe
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decision time Decision making is an important aspect of the Paper F5 syllabus‚ and questions on this topic will be common. The range of possible questions is considerable‚ but this article will focus on only one: linear programming. The ideas presented in this article are based on a simple example. Suppose a profit-seeking firm has two constraints: labour‚ limited to 16‚000 hours‚ and materials‚ limited to 15‚000kg. The firm manufactures and sells two products‚ X and Y. To make X‚ the firm uses
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Cincinnati‚ Ohio Contents Preface Chapter 1: Introduction ♦ Scheduling a Golf League Chapter 2: An Introduction to Linear Programming ♦ Workload Balancing ♦ Production Strategy ♦ Hart Venture Capital Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution ♦ Product Mix ♦ Investment Strategy ♦ Truck Leasing Strategy Chapter 4: Linear Programming Applications in Marketing‚ Finance and Operations Management ♦ Planning an Advertising Campaign ♦ Phoenix Computer ♦ Textile
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