References: Abdullah‚ S. (2006). Heuristic approaches for university timetabling problems. PhD Thesis. The School of Computer Science and Information Technology. University of Nottingham. Akkoyunlu‚ E. (1973). A linear algorithm for computing the optimum university timetable. The Computer Journal‚ 16(4)‚ 347-350. Andrew‚ G.‚ & Collins‚ R. (1971). Matching faculty to courses. College and University‚ 46‚ 83-89. Bartak‚ R. (1999). On the Boundary of planning and scheduling:
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References: 1. Murty‚ K. G. 1995‚ Operations Research: Deterministic Optimization Models‚ Prentice Hall 2. Taha‚ H. A. 2007‚ Operations Research‚ 8th Edition‚ Pearson 3. Taylor‚ B. W. III 1999‚ Introduction to Management Science‚ 6th edn‚ Prentice Hall 4. Schrage‚ L. 1997‚ Optimization Modeling with LINDO‚ 5th edn‚ Thomson. 5. Winston‚ W. L. 2004‚ Operations Research: Applications and Algorithms‚ 4th edn‚ Thomson 6. Williams‚ H. P.‚ 1993‚ Model Building in Mathematical Programming
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SAP Note 1431798 Oracle 11.2.0: Database Parameter Settings Note Language: English Version: 47 Validity: Valid Since 21.02.2012 Summary Symptom This note contains SAP’s recommendations for the optimal configuration of Oracle Database Release 11.2. These parameter recommendations are relevant for all SAP products. This note will be updated regularly once a month. Beyond that‚ changes will only be made in exceptional cases for critical Oracle parameters. Change history: o February 14‚ 2012:
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decision-making bringing out limitations‚ if any. 2. Explain the concept and computational steps of the simplex method for solving linear programming problems. How would you identify whether an optimal solution to a problem obtained using simplex algorithm is unique or not? a) What is the difference between a feasible solution‚ a basic feasible solution‚ and an optimal solution of a linear programming problem? b) What is the difference between simplex solution procedure for a `maximization’ and a
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TORA Temporary-Ordered Routing Algorithm (TORA) – An Operations Research Software TORA is an algorithm i.e. a mathematical set of instructions or programs (mathematical-software). It is an optimization system in the area of operations research which is very easy to use. Further‚ TORA is menu-driven and Windows-based which makes it very user friendly. The software can be executed in automated or tutorial mode. The automated mode reports the final solution of the problem‚ usually in the standard
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GUJARAT STATE LEVEL ELIGIBILITY TEST Code No.:19 Subject : COMPUTER SCIENCE AND APPLICATIONS SYLLABUS AND SAMPLE QUESTIONS Note : There will be two question papers‚ Paper—II and Paper—III. Paper—II will cover 50 Objective Type Questions carrying 100 marks. Paper—III will be of 200 marks and will consist of four sections‚ in all containing 26 questions (short and essay type) to attempt. For detail structure of Paper-III please visit our website http://www.msubaroda.ac.in PAPER-II 1. Discrete
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PageRank Algorithm December 9‚ 2012 Abstract This paper dicsusses the PageRank algorithm. We carefully go through each step of the algorithm and explain each procedure. We also explain the mathematical setup of the algorithm‚ including all computations that are used in the PageRank algorithm. Some of the topics that we touch on include the following‚ but not limited to‚ are: linear algebra‚ node analysis‚ matrix theory‚ and numerical methods. But primarily this paper concerns itself with
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∗ Control and Dynamical Systems‚ California Inst. of Tech.‚ Pasadena‚ CA 91125 - USA † Institut f¨r Automatik‚ ETH Z¨rich‚ CH-8092 Z¨rich - Switzerland u u u Abstract singular value µ. Examples of these problems‚ as well as several other optimization-related examples‚ are provided and solved in the demo files that are distributed together with SOSTOOLS. This paper is based on the SOSTOOLS User’s Guide [12]‚ and is organized as follows. In Section 2 a brief review on sum of squares polynomials
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Exam 2 Preparation Guidelines February 24‚ 2013 Exam 2 is scheduled for Tuesday 3/5. Coverage will include material identified on the syllabus through 2/28. The exam will be comprised of two parts: (1) multiple choice questions (and possibly a few true/false)‚ (2) short answers. The weight between parts I and II will likely be in the neighborhood of 50-50. I’m guessing that 80% or more of the exam points will based on content since exam 1 (i.e.‚ content in chapters 8‚ 10‚ and 11). The exam is closed
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milliseconds to update the display information. System identification: A processing algorithm used to mathematically model the robot system. This takes 100 milliseconds to execute. Organize the execution schedule of these tasks using simple scheduling (FIFO). Use timing diagram to show your solution. (A) Solution Through the execution order used by the scheduling algorithm the TT (turnaround time; time taken for each process to complete) can be optimized‚ in
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