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    SMU Operational Research

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    Research. Briefly explain the techniques and tools of Operations Research. Operations Research Methodology 10 Techniques and tools of Operations Research 2 Explain the steps involved in linear programming problem formulation with an example. Discuss in brief the advantages of linear programming. Q1 : Discuss the various stages involved in the methodology of Operations Research. Briefly explain the techniques and tools of Operations Research. 1. Operations Research Methodology 2. Techniques

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    Programming Paradigms Programming languages • A Programming language is a notational system for describing tasks/computations in a machine and human readable form. • Most computer languages are designed to facilitate certain operations and not others: numerical computation‚ or text manipulation‚ or I/O. • More broadly‚ a computer language typically embodies a particular programming paradigm. Characteristics of a programming language: Every language has syntax and semantics: • Syntax: The syntax

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    + $8D Z = $2L + $1D Z = $2L + $2D 6.____________solutions are ones that satisfy all the constraints simultaneously. alternate feasible Infeasible Optimal Unbounded 7. When using linear programming model to solve the “diet” problem‚ the objective is generally to maximize profit. True False 8. A constraint for a linear

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    Operation Research

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    spaces‚ each of which is defined by a linear inequality. 2) What is an infeasible solution? How is this condition recognized in simplex method? A infeasible solution is one that does not satisfies all linear and non-linear constraints. When the solution is along with the artificial variable even when the aolution is optimized then its is a infeasible solution 3) What is an unbounded solution? How is this condition recognized in simplex method? A linear program is unbounded if the optimal

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    Tora Software

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    giving step-wise information about the methodology and solution. TORA tutorial software deals with the following algorithms: •Solution of simultaneous linear equations •Linear programming •Transportation model •Integer programming •Network models •Project analysis by CPM/PERT •Poisson queuing models •Zero-sum games The software provides a number

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    Linear Probability Model

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    The linear probability model‚ ctd. When Y is binary‚ the linear regression model Yi = β0 + β1Xi + ui is called the linear probability model. • The predicted value is a probability: • E(Y|X=x) = Pr(Y=1|X=x) = prob. that Y = 1 given x • Yˆ = the predicted probability that Yi = 1‚ given X • β1 = change in probability that Y = 1 for a given ∆x: Pr(Y = 1 | X = x + ∆x ) − Pr(Y = 1 | X = x ) β1 = ∆x 5 Example: linear probability model‚ HMDA data Mortgage denial v. ratio of debt payments to income (P/I

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    Question Paper of Mba

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    SEMESTER 3 INDIAN INSTITUTE OF MANAGEMENTAND ENGINEERING CORPORATE LAWS $ SECRETARIAL PRACTICE PART 1 MARKS 80 Attempt any Four Q1 (A) How are the first directors of the company appointed? (B) What is the notice period required for a board meeting? Q2 (A) Can a company appoint managing director and manager simultaneously? (B) Is company allowed to appoint a part-time secretary instead of a Whole-time Secretary? Q3 (A) Who can fix the remuneration of auditors under

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    you!" 2. Design an algorithm that prompts the user to enter his or her favorite color and stores the users input in a variable named color. 1.Display what your favorite color ‚please? 2 Input favColor 3 Display Thank you!" programming exercises on p72 1.Design a Program that displays the following information: * Your name * Your address‚ with the city‚ state‚ and ZIP * Your telephone number * Your college major Display Welcome to your personal

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    ASWM 13th Edition

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    Pratt‚ J. W.‚ H. Raiffa‚ and R. Schlaifer. Introduction to Statistical Decision Theory. MIT Press‚ 1995. Raiffa‚ H. Decision Analysis. McGraw-Hill‚ 1997. Krieger‚ 1978. Science 36‚ no. 3 (March 1990): 269–273. Ignizio‚ J. Introduction to Linear Goal Programming. Sage‚ 1986. Keeney‚ R. L.‚ and H. Raiffa. Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge‚ 1993. Saaty‚ T. Multicriteria Decision Making‚ 2d ed. RWS‚ 1996. Science 36‚ no. 3 (March 1990): 259–268. Saaty‚ T.

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    steps involved in lpp

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    Briefly 1 explain the techniques and tools of Operations Research. Operations Research Methodology Techniques and tools of Operations Research 2 5 10 5 a. Explain the steps involved in linear programming problem formulation. Discuss in brief the advantages of linear programming. b. Alpha Limited produces & sells two different products under the brand names black & white. The profit per unit on these products in Rs. 50 & Rs. 40 respectively. Both the products employ the same

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