Lab Exercises MS1.2 Data Structures and Algorithms Using C++ Lab – 1 (2 Hrs Real Time) 1.1 Write a C + + program to display any message. 1.2 Sum of digit 1.2.1 Reverse the number 1.2.2 Factorial of a number 1.2.3 Fibonacci series 1.2.4 Armstrong number checking 1.2.5 Prime no checking 1.2.6 Palindrome Checking 1.2.7 Odd or even number. 1.2.8 Perfect number checking. Lab – 2 (2 Hrs Real Time) 2.1 2.2 2.3 2.4 2.5 Write a program to calculate the following: Find Maximum of N numbers. Find Minimum
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Keyboard shortcuts Keyboard shortcuts are combinations of two or more keys that‚ when pressed‚ can be used to perform a task that would typically require a mouse or other pointing device. Keyboard shortcuts can make it easier to interact with your computer‚ saving you time and effort as you work with Windows and other programs. Most programs also provide accelerator keys that can make it easier to work with menus and other commands. Check the menus of programs for accelerator keys. If a letter
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Mathematical Programming: An Overview 1 Management science is characterized by a scientific approach to managerial decision making. It attempts to apply mathematical methods and the capabilities of modern computers to the difficult and unstructured problems confronting modern managers. It is a young and novel discipline. Although its roots can be traced back to problems posed by early civilizations‚ it was not until World War II that it became identified as a respectable and well defined body of
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Chapter 3 FORMULATING GOAL PROGRAMMING MODEL..………………………... | 10 | | | 3.1 WHAT IS GOAL PROGRAMMING?………………………………………………. | 10 | 3.2 ASSUMPTIONS………………………………………………….………………….. | 10 | 3.3 COMPONENTS………………………………………..……………………………. | 11 | 3.3.1 GOAL CONSTRAINTS………………………………………………… | 11 | 3.3.2 OBJECTIVE FUNCTION……………………………………………… | 11 | 3.3.3 GOAL PROGRAMMING TERMS……………………………………. | 12 | 3.3.4 GOAL PROGRAMMING CONTRAINTS……………………………. | 12 | 3.4 GOAL PROGRAMMING STEPS…………………………………………………..
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Integer Programming 9 The linear-programming models that have been discussed thus far all have been continuous‚ in the sense that decision variables are allowed to be fractional. Often this is a realistic assumption. For instance‚ we might 3 easily produce 102 4 gallons of a divisible good such as wine. It also might be reasonable to accept a solution 1 giving an hourly production of automobiles at 58 2 if the model were based upon average hourly production‚ and the production had the interpretation
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should contribute at most 25% of the total calories intake that will result from the diet plan. The vegetable food type should provide at least 30% of the minimum daily requirements for vitamins. Provide a linear programming formulation for the above case. (No need to solve the problem.) Element | Milk | Chicken | Bread | Vegetables | Calories (X1) | 160 | 25% * 210 | 120 | 150 | Carbohydrates (X2) | 110 | 130 | 110 | 120 | Protein (X3) | 90 | 190 | 90 | 130 | Vitamins (X4) | 50 |
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Linear Functions There are three different ways to write linear functions. They are slope-intercept‚ point-slope‚ and standard form. There are certain situations where it is better to use one way than another to solve a problem. It is important to understand and comprehend the mechanics of these three forms so that you know what form to use when solving a problem. The first form‚ point-slope‚ is written as y-y1=m(x-x1). M is the slope and x1 and y1 correspond to a point on the line. It’s good to
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Linear Programming Tools and Approximation Algorithms for Combinatorial Optimization by David Alexander Griffith Pritchard A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Combinatorics and Optimization Waterloo‚ Ontario‚ Canada‚ 2009 c David Alexander Griffith Pritchard 2009 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis‚ including any required final revisions
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Describe the payout policy of Linear Technologies historically. Describe Linear’s current cash position and its financing needs. The company initiated its dividend in 1993 with a relatively conservative payout ratio of 15%‚ based on a quarterly dividend of $0.05/share/quarter ($0.00625 split adjusted as per Exhibit 3). As of 3Q2003‚ the dividend is also $0.05/share/quarter‚ adjusted for stock splits‚ which translates into a payout ratio of . The payout ratio is currently 27.5% on an as adjusted
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Executive Summary: Marketing Strategy Optimization: Using linear programming to establish an optimal marketing mixture. Drew M. Stapleton‚ Joe B. Hanna and Dan Markussen‚ American Business Review 2(21)-pg 54-62 June 2003 In recent times marketing strategy is playing a vital role in a firm success. It optimizes the marketing resources and can improve the revenue generation and market share. Since the global market place is increasing‚ companies find optimizing the marketing effort even more
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