Flowchart is a diagrammatic representation of an algorithm. Flowchart is very helpful in writing program and explaining program to others. An algorithm is an effective method expressed as a finite list of well-defined instructions for calculating a function. Algorithm is a step-by-step procedure for calculations. A flowchart is a type of diagram that represents an algorithm‚ workflow or process‚ showing the steps as boxes of various kinds‚ and their order by connecting them with arrows. Types of
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prior to completing the lab. Write a program that will calculate the cost of installing fiber optic cable at a cost of .87 per ft for a company. Your program should display the company name and the total cost. Step 1: Examine the following algorithm as a base for how the program should flow. (Reference: Designing a Program‚ page 31). 1. Display a welcome message for your program. 2. Get the company name. 3. Get the number of feet of fiber optic to be installed. 4. Multiply the total cost
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STATEMENT OF PURPOSE l I did very well during my undergraduate studies at the prestigious R. V. College of Engineering‚ Bangalore (www.rvce.com) securing the 7th rank among 2000 mechanical engineering students in the Bangalore University. As part of the curriculum requirements‚ I worked on the analysis of Wildhaber-Novikov gears for defense applications. The project was adjudged as one of the best projects in the college and was awarded maximum marks during evaluation (for a description please
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Analysis of Algorithms 07/29/13 CS202 - Fundamentals of Computer Science II 1 Algorithm • An algorithm is a set of instructions to be followed to solve a problem. – There can be more than one solution (more than one algorithm) to solve a given problem. – An algorithm can be implemented using different prog. languages on different platforms. • Once we have a correct algorithm for the problem‚ we have to determine the efficiency of that algorithm. – – How much time that algorithm
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independently from learning programming. For this purpose we use problems that are not easy to solve but have an easily understandable problem definition. A proper visualization of these problems can help to understand the basic concepts connected with algorithms: correctness‚ termination‚ efficiency‚ determinism‚ parallelism‚ etc. The presented examples were used by the author in a pre-university course‚ they may also be used in secondary schools to help understanding some concepts of computer science.
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1968 merger. The secretary of this church used a hand written log book for the members to schedule their events. It also consume more time to the secretary to write manually. The pen-and-paper method is the old way of scheduling appointments for a workgroup‚ in which all scheduling is funnelled through an appointments secretary with a central calendar. In this model‚ the people whose time is being booked must check in regularly to find out what their schedule is‚ and to let the secretary know what
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D $350 E $425 Problem-Solving 1. Develop an algorithm or write pseudocode that accepts as input the names of no more than twelve masqueraders who each have paid the full cost of their costume and the amount each has paid. A masquerader may have paid for a costume in any of the five sections in the band. The algorithm should determine the section in which a masquerader plays based on the amount he/she has paid for the costume. The algorithm should also determine the number of masqueraders who
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SUDOKU GAME IN ANDROID INTRODUCTION The main objective of this project is to create a game through which the user will be able to play a Sudoku puzzle. Our project deals with the task of designing a game of Sudoku using various algorithms. These are algorithms‚ both for generating games of various difficulties for the user and also for solving the puzzles provided by the user. A user will be able to ask for a random puzzle or the user will be able to manually input a puzzle. In either case‚ the software
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what extent can SCSI disks be constructed to solve this question? "Smart" algorithms are particularly unfortunate when it comes to sensor networks. Indeed‚ wide-area networks and sensor networks have a long history of collaborating in this manner [18]. We view networking as following a cycle of four phases: evaluation‚ storage‚ creation‚ and storage. On a similar note‚ two properties make this method perfect: our algorithm manages the investigation of extreme programming‚ and also our application
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Nondegenerate Solution‚ Convex set and explanation with examples. [5L] Solution of LPP by Simplex Method; Charnes’ Big-M Method; Duality Theory. Transportation Problems and Assignment Problems. [12L] Module II Network Analysis: Shortest Path: Floyd Algorithm; Maximal Flow Problem (Ford-Fulkerson); PERT-CPM (Cost Analysis‚ Crashing‚ Resource Allocation excluded). [6L] Inventory Control: Introduction to EOQ Models of Deterministic and Probabilistic ; Safety Stock; Buffer Stock. [3L] Module III Game Theory:
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