Topics on "Operational Research" Mar. 2007‚ IST Linear Programming‚ an introduction MIGUEL A. S. CASQUILHO IST‚ Universidade Técnica de Lisboa‚ Ave. Rovisco Pais‚ IST; 1049-001 Lisboa‚ Portugal Linear Programming is presented at an introductory level‚ mainly from the book by Hillier and Lieberman [2005]‚ abridged and adapted to suit the objectives of the “Operational Research” course. It begins with segments of its third chapter. Key words: linear programming; simplex method. I. Fundamentals
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Structural Equation Modeling * A Conceptual Overview * The Basic Idea Behind Structural Modeling * Structural Equation Modeling and the Path Diagram A Conceptual Overview Structural Equation Modeling is a very general‚ very powerful multivariate analysis technique that includes specialized versions of a number of other analysis methods as special cases. We will assume that you are familiar with the basic logic of statistical reasoning as described in Elementary Concepts. Moreover‚ we will
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27 4 d e (2) 3 (b) If the length of the rectangle is x m‚ and the area is A m2‚ express A in terms of x only. (1) (c) What are the length and width of the rectangle if the area is to be a maximum? (3) (Total 6 marks) 5. (a) Solve the equation x2 – 5x + 6 = 0. (b) Find the coordinates of the points where the graph of y = x2 – 5x + 6 intersects the x-axis. Working: Answers: (a) ………………………………………….. (b) .................................................................. (Total 4 marks)
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Tak Nga Secondary School 2010-2011 Mid-year Exam Form 4 Mathematics (Paper I) Time allowed: 1 hour 15 minutes Class：________ Name：__________________( ) Marks: ________/ 60 Instructions: 1. Write your name‚ class and class number in the spaces provided on this cover. 2. This paper consists of THREE sections‚ A(1)‚ A(2) and B. Each section carries 20 marks. 3. Attempt ALL questions in this paper. Write your answers in the spaces provided. Supplementary answer sheets will be supplied on request.
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7 Ordinary Differential Equations Matlab has several different functions for the numerical solution of ordinary differential equations. This chapter describes the simplest of these functions and then compares all of the functions for efficiency‚ accuracy‚ and special features. Stiffness is a subtle concept that plays an important role in these comparisons. 7.1 Integrating Differential Equations The initial value problem for an ordinary differential equation involves finding a function
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a project of your choice‚ either from your own work or as a hypothetical situation. Be sure that you stae your situation first‚ before you develpp the LP model Linear programming is a modeling technique that is used to help managers make logical and informed decisions. All date and input factors are known with certainty. Linear program models are developed in three different steps: Formulation Solution Interpretation The formulation step deals with displaying the problem in a mathematical
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Linear Programming Concept Paper There are two types of linear programming: 1. Linear Programming- involves no more than 2 variables‚ linear programming problems can be structured to minimize costs as well as maximize profits. Due to the increasing complexity of business organizations‚ the role of the management executive as a decision maker is becoming more and more difficult. Linear programming is a useful technique to solve such problems. The necessary condition is that the data must be
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Project 1: Linear Correlation and Regression Analysis Gross Revenue and TV advertising: Pfizer Inc‚ along with other pharmaceutical companies‚ has begun investing more promotion dollars into television advertising. Data collected over a two year period‚ shows the amount of money Pfizer spent on television advertising and the revenue generated‚ all on a monthly bases. |Month |TV advertising |Gross Revenue | |1 |17 |4.1 | |2
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This article considers the relationship between two variables in two ways: (1) by using regression analysis and (2) by computing the correlation coefficient. By using the regression model‚ we can evaluate the magnitude of change in one variable due to a certain change in another variable. For example‚ an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression model. A sociologist may want to estimate the increase
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represents the heights that are achieved by the gold medalists. Also it shows that it is not constant. Linear Regression To create a certain equation‚ you draw the best fit line on the graph. The difference between the red graph and the linear function is that the red does not have a predictable pattern. When the best fit is drawn it is possible to find the equation of this graph. Though the equation that is made by the best fit and three points on the graph is actually on the line‚ there is a limit
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