polynomial and radical equations, linear functions and their graphs, systems of linear equations, functions and their properties and triangles and trigonometric functions. Activities will include solving problems and using appropriate technological tools. Prerequisite: GE184 Problem Solving or TB184 Problem Solving or GE150 Survey of the Sciences or equivalent; Prerequisite or Corequisite: TB133 Strategies for the Technical Professional or equivalent GE184 Problem Solving | A 4 credit hour Science
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6634 CH04 UG 8/23/02 1:53 PM Page 20 C H A P T E R Linear Programming Sensitivity Analysis 4 SOLUTIONS TO DISCUSSION QUESTIONS AND PROBLEMS 4-1. In most real world situations that are modeled using LP, conditions are dynamic and changing. Hence, input data such as resource availabilities, prices, and costs used in the LP model are estimated, rather than known with certainty. In such environments, sensitivity analysis can be used to identify the ranges of values of these input
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DEA Tutorial Abstract Data envelopment analysis (DEA) is a linear programming based technique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. This tutorial paper introduces the technique and uses an example to show how relative efficiencies can be determined and targets for inefficient units set. The paper also considers a number of practical issues of concern in applying the technique. Introduction
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Solving the Salinity Control Problem in a Potable Water System⋆ Chiu Wo Choi and Jimmy H.M. Lee Department of Computer Science and Engineering The Chinese University of Hong Kong Shatin, N.T., Hong Kong {cwchoi,jlee}@cse.cuhk.edu.hk Abstract. Salinity is the relative concentration of salts in water. In a city of southern China, the local water supply company pumps water from a nearby river for potable use. During the winter dry season, the intrusion of sea water raises the salinity of the river
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DISCUSSION QUESTIONS AND PROBLEMS 4-1. In most real world situations that are modeled using LP, conditions are dynamic and changing. Hence, input data such as resource availabilities, prices, and costs used in the LP model are estimated, rather than known with certainty. In such environments, sensitivity analysis can be used to identify the ranges of values of these input data for which the current LP solution remains optimal. This is done without solving the problem again each time we need
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transportation problem at Shaktiman Cement and strives to provide a solution to the problem. The transportation problem at Shaktiman Cement consists of three production plants and three construction sites. The company has to figure out a way to satisfy the demands of the three construction sites using the cement it produces and transport the cement from its plants to the construction sites at the minimum transportation cost possible. The solution to the transportation problem was arrived at
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2,5 | 32 | Algorithm (Data Structure) | 2,5 | 32 | Algorithm oriented object (Tuto, C++ Language) | 3 | 40 | Operating System (Theories and Fundamental) | 2,5 | 32 | WAN (courses + Tuto) | 4,5 | 60 | Method of Analysis 1 | 3 | 40 | Programming Workshop C | 2,5 | 32 | Software Engineering workshop (Access, VB) | 3 | 40 | Management Workshop for Science Engineer | 2 | 24 | Entrepreneurship | 1,5 | 20 | | | | TOTAL | 63,5 | 832 | -------------------------------------------------
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locations of the organization, or evaluating how the process has been performing at a particular location over consecutive periods of time (also called window analysis). DEA i.e. Data Envelopment Analysis tool is targeted towards solving such managerial problems, and can be applied to both macro-level and micro-level processes, thereby providing an effective performance measurement and monitoring framework for Business Process Intelligence (BPI). It caters to the performance evaluation needs of both top
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Objective of this project 10 3.3 Model Formulation 11 3.4 Mixed-integer Linear Programming Formulation 14 CHAPTER 4 - SOLUTION ALGORITHM 15 4.1 Problem complexity 15 4.2 Heuristic Algorithm 15 4.3 Test case 18 CHAPTER 5 - COMPUTATIONAL RESULT 21 CHAPTER 6 - CONCLUSION 24 6.1 Conclusion and Recommendation 24 6.2 Future Research 24 REFERENCES 26 APPENDIX B – Various ship routing and scheduling problem 29 APPENDIX C – Basic notation for this project 33 CHAPTER 1- INTRODUCTION
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100 50 100 50 100 100 50 100 50 700 7. 8. Total ASC405 CSE 415 Analysis & Design of Algorithms Analysis & Design of Algorithms (Practical) Database Management System Database Management System (Practical) Object Oriented Programming Object Oriented Programming (Practical) Cyber Law & IPR Computer Architecture & Organization Internal Total Sessional Marks 50 100 50 50 50 50 50 50 100 50 100 50 3 3 15 0 1 4 0 0 9 3 4 28 3 4 25 50 50 250 50 50 400 100 100 650 2
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