Julia’s Food Booth Case Problem MAT 540- Quantitative Methods February 23‚ 2013 (A) Formulate and solve an L.P. model for this case. The following variables were be used: X1 = Slices of Pizza X2 = Hot Dogs X3 = BBQ Sandwiches The objective is to maximize profit. maximize Z= 0 .75X1+1.05X2+1.35X3 Subject to: 0.75X1+1.05X2+1.35X3≤1‚500 (Budget) 24X1+16X2+25X3≤55‚296in2 (Oven Space) X1≥X2+X3 X2X3≥2.0 X1‚ X2‚ X3≥0 (B) Evaluate the prospect of borrowing money before the first
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UNIVERSITY OF WATERLOO CO370/CM443: Deterministic OR Models Midterm Examination – FALL TERM 2011 Thursday‚ October 20‚ 2011‚ 7-9 PM (conflict time 4:45-6:45 PM) CLOSED BOOK Surname: First Name: Signature: ID#: INSTRUCTIONS: 1. Write your name and Student ID# in the blanks above. 2. There are five questions. Some questions may be longer or more difficult than others. Read all the questions first and budget your time appropriately for each question. 3. Answer each question in your solution booklet. Problem
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A. Formulate a linear programming model for Julia that will help you to advise her if she should lease the booth. Let‚ X1 =No. of pizza slices‚ X2 =No. of hot dogs‚ X3 = No. of barbeque sandwiches * Objective function co-efficient: The objective is to maximize total profit. Profit is calculated for each variable by subtracting cost from the selling price. For Pizza slice‚ Cost/slice=$4.5/6=$0.75 | X1 | X2 | X3 | SP | $1.50 | $1.60 | $2.25 | -Cost | 0.75 | $0.50 | $1.00 |
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TRUE/FALSE 10.1 The Avis car rental company successfully used the transportation method to move its inventory of cars efficiently. ANSWER: TRUE 10.2 Transportation and assignment problems are really linear programming techniques called network flow problems. ANSWER: TRUE 10.3 A typical transportation problem may ask the question‚ “How many of X should be shipped to point E from source A?” ANSWER: TRUE 10.4 The objective of a transportation problem solution
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The Evolution of Programming Languages Course Notes for COMP 348 and COMP 6411 These notes may be copied for students who are taking either COMP 348 Principles of Programming Languages or COMP 6411 Comparative Study of Programming Languages. First draft: Revised: August 1999 August 2002 c Peter Grogono 1999‚ 2002 Department of Computer Science Concordia University Montreal‚ Quebec CONTENTS ii Contents 1 Introduction 1.1 1.2 How important are programming languages? . . .
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categories of modeling techniques includes optimization techniques? Prescriptive models What is the goal in optimization? Find the decision variable values that result in the best objective function and satisfy all constraints. The following linear programming problem has been written to plan the production of two products. The company wants to maximize its profits. X1 = number of product 1 produced in each batch X2 = number of product 2 produced in each batch MAX: 150 X1 + 250 X2 Subject to: 2
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Chapter 2 An Introduction to Linear Programming 18. a. Max 4A + 1B + 0S1 + 0S2 + 0S3 s.t. 10A + 2B + 1S1 = 30 3A + 2B + 1S2 = 12 2A + 2B + 1S3 = 10 A‚ B‚ S1‚ S2‚ S3 0 b. c. S1 = 0‚ S2 = 0‚ S3 = 4/7 23. a. Let E = number of units of the EZ-Rider produced L = number of units of the Lady-Sport produced Max 2400E + 1800L s.t. 6E + 3L 2100 Engine time L 280 Lady-Sport maximum
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Management University of Phoenix Algorithms and Logic for Computer Programming PRG 211 Professor Lee March 07‚ 2013 Personal Learning Management Being able to develop a management tool that would allow a user or student to review course material would be very beneficial. With a course such as programming that has so much information‚ it is important to be able to recall information in order to properly understand how programming works. I for example‚ do not have any prior knowledge of so I
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Unit 1 Lesson 9 : The Big M Method Learning outcomes • The Big M Method to solve a linear programming problem. In the previous discussions of the Simplex algorithm I have seen that the method must start with a basic feasible solution. In my examples so far‚ I have looked at problems that‚ when put into standard LP form‚ conveniently have an all slack starting solution. An all slack solution is only a possibility when all of the constraints in the problem have or = constraints‚ a starting basic
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Ikwuetoghu Martins INTRODUCTION OF STRUCTURED PROGRAMMING CONCEPTS Structured Programming is a method of planning programs that avoids the branching category of control structures. structured programming: A technique for organizing and coding computer programs in which a hierarchy of modules is used‚ each having a single entry and a single exit point‚ and in which control is passed downward through the structure without unconditional branches to higher levels of the structure. Three types of control
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