GRADUATE RESEARCH PAPER - KRISHNA After the completion of the Navitas Program in May‚ 2014‚ I will enter into the next term which is fall 2014 where I take my major to pursue my Master’s in computer science. I came to Western Kentucky University to pursue my Master’s in computer science which is related to my major in my under graduation. But to some extent‚ as I failed to fulfill the requirements of the university‚ I came into the Navitas Program which is called Pre-Master’s program for graduates
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programming focuses on obtaining the best possible output (or a set of outputs) from a given set of limited resources. The LPP is a class of mathematical programming where the functions representing the objectives and the constraints are linear. Optimization refers to the maximization or minimization of the objective functions. You can define the general linear programming model as follows: Maximize or Minimize Z = c1 x1 + c2 x2 +………….. +cn xn subject to the constraints‚ a11 x1 + a12 x2 + ……………
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Winter 2013 Master of Business Administration- MBA Semester 2 MB0048 – Operations Research - 4 Credits (Book ID: B1631) (Roll no: 1305009661) Q.1: Discuss the various stages involved in the methodology of Operations Research. Briefly explain the techniques and tools of Operations Research. Ans: The basic dominant characteristic feature of operations research is that it employs mathematical representations or models to analyse problems. This distinct approach represents an adaptation of the
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3.4 Linear Programming Linear programming is one of the most useful types of word problems we learn in Algebra 2. It takes a collection of information and produces the best possible solution. However‚ each problem is unique. This requires an overall understanding of how to set these up. You need to buy some filing cabinets. You know that Cabinet X costs $10 per unit‚ requires six square feet of floor space‚ and holds eight cubic feet of files. Cabinet Y costs $20 per unit‚ requires eight square
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dummy row will be equal to the lowest cost of the column for each respective cell in that row. ANSWER: FALSE 10.11 Linear programming techniques can be used to solve transportation problems and are more efficient than special purpose algorithms. ANSWER: FALSE 10.12 In finding the maximum quantity that can be shipped on the least costly route using the stepping-stone method‚ one examines the closed path of plus and minus signs drawn and selects the smallest number found in
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Running the business from the Palm of your hand 1. Case describe applications which help to work on-line not only through our computers but also through mobile devices. I the modern world almost whole production is made by machines and controlled by computers‚ some people must to control production necessary in a plant‚ others could control it from the computer by choosing optimal operating conditionals. There are also a lot of applications which make informational system of the companies‚ which
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= w1 n1 [1 + r] + w2 n2 Dividing each side by [1+r] for convenience gives c1 + c2 w 2 n2 = w 1 n1 + 1+r 1+r We can solve for consumption and labor supply in each period (c1 ‚ c2 ‚ n1 ‚ n2 ) by first setting up the Lagrangian for a constrained optimization problem as L = ln[c1 ] + ln[1 − n1 ] + βln[c2 ] + βln[1 − n2 ] − λ[n1 + Taking FOC’s with respect to c1 ‚ c2 ‚ n1 ‚ n2 ‚ λ) gives dL dc1 dL dn1 dL dc2 dL dn2 dL dλ = = = = = 1 +λ=0 c1 1 − − λw1 = 0 1 − n1 β λ =0 + c2 1+r β λw2 =0 − − 1 − n2 1+r
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shortest possible route that visits each city exactly once and returns to the origin city? It is an NP-hard problem in combinatorial optimization‚ important in operations research and theoretical computer science. The problem was first formulated in 1930 and is one of the most intensively studied problems in optimization. It is used as a benchmark for many optimization methods. Even though the problem is computationally difficult‚[1] a large number of heuristics and exact methods are known‚ so that
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An Introduction to Linear Programming Steven J. Miller∗ March 31‚ 2007 Mathematics Department Brown University 151 Thayer Street Providence‚ RI 02912 Abstract We describe Linear Programming‚ an important generalization of Linear Algebra. Linear Programming is used to successfully model numerous real world situations‚ ranging from scheduling airline routes to shipping oil from refineries to cities to finding inexpensive diets capable of meeting the minimum daily requirements. In many of these problems
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CHAPTER 1 THE PROBLEM AND ITS BACKGROUND Introduction The Enrollment System for a college which will provide the needed and storing information in a faster‚ more convenient way by storing file of the student enrollees in a computer system that will lessen the effort of faculty staff in storing files of each student every now and then. An enrollment system also serves as information especially for the irregular students‚ freshmen‚ transferee‚ and professor in able to get access in course‚ subject
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