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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easily connect to existing libraries. That is why optimization is an important and practical topic in Scilab‚ which provides tools to solve linear and nonlinear optimization problems by a large collection of tools. Overview of the industrial-grade solvers available in Scilab and the type of optimization problems which can be solved by Scilab. Objective Linear Bounds y Equality l Inequalities l Problem size m m l l y Nonlinear s Gradient needed y n Solver linpro quapro qld qpsolve optim neldermead
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Explain how the applications of integer programming differ from those of linear programming. Integer programming is concerned with optimization problems in which some of the variables are required to take on discrete values. Rather than allow a variable to assume all real values in a given range‚ only predetermined discrete values within the range are permitted. In most cases‚ these values are the integers‚ giving rise to the name of this class of models. Models with integer variables are very
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CHAPTER 2 An Introduction to Linear Programming 21 KEY CONCEPTS ILLUSTRATED ANSWERED CONCEPT PROBLEMS PROBLEMS Formulation 7‚8 15‚16 Minimization 2‚5 9‚10‚15 Standard Form
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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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solution to linear programming problems can handle problems that involve any number of decision variables. 3- The value of an objective function decreases as its iso-objective line is moved away from the origin. 4- If a single optimal solution exists to a graphical LP problem‚ it will exist at a corner point. 5- Using the enumeration approach‚ optimality is obtained by evaluating every coordinate (or point) in the feasible solution space. 6- A non-unique solution to a linear program indicates
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Pace University DigitalCommons@Pace Faculty Working Papers Lubin School of Business 11-1-1999 The Mystery of Linear Programming Explained: Second Edition Jack Yurkiewicz Pace University Follow this and additional works at: http://digitalcommons.pace.edu/lubinfaculty_workingpapers Recommended Citation Yurkiewicz‚ Jack‚ "The Mystery of Linear Programming Explained: Second Edition" (1999). Faculty Working Papers. Paper 21. http://digitalcommons.pace.edu/lubinfaculty_workingpapers/21
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Assignment on Operations Research Transportation Model INTRODUCTION Many practical problems in operations research can be broadly formulated as linear programming problems‚ for which the simplex this is a general method and cannot be used for specific types of problems like‚ (i)transportation models‚ (ii)transshipment models and (iii) the assignment models. The above models are also basically allocation models
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we are solving a 0-1 integer programming problem‚ the constraint x1 ≤ x2 is a conditional constraint. Answer Selected Answer: True Correct Answer: True • Question 2 If we are solving a 0-1 integer programming problem with three decision variables‚ the constraint x1 + x2 + x3 ≤ 3 is a mutually exclusive constraint. Answer Selected Answer: False Correct Answer: False • Question 3 If we are solving a 0-1 integer programming problem with three decision
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1 DEFINITION OF LINEAR PROGRAMMING (LP) Linear programming (LP) is a mathematical technique used in finding the best possible allocation of resources to achieve the best outcome‚ which is maximising profit or minimising cost. However‚ it is only applicable where there is a linear relationship between the variables. For example‚ the linear relationships between hours of labour and output in a textiles factory means an increase or decrease in labour force has a direct impact on production‚ which
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