0-13-047065-1 Print ISBN-13: 978-0-13-047065-2 Pages: 432 Table of Contents | Examples Copyright National Improvements | Virtual Instrumentation Series Preface References Hardware and Software Requirements LabVIEW VI Libraries and Project and Problem Folders and Files Unit 1. Elementary Circuit Analysis for Analog Electronics Section 1.1. Resistor Voltage Divider and MOSFET DC Gate Voltage Section 1.2. Output Circuit and DC Drain Voltage Section 1.3. Frequency Response of the Amplifier Stage
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|Of Exam | | | | | | |Theory |Sessional* | | |MCA-101 |Computer Fundamentals and Problem Solving Using C |3 Hours |80 |20 |100 | |MCA-102 |Computer Organisation |3 Hours |80 |20 |100 | |MCA-103 |Discrete Mathematical
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supplying snowplow blades, producing snow blades and wings for wheel loaders and motor graders, the most common barriers used in snow removal. As there was enormous growth, they started producing buckets and other attachments for excavators. The main problem is, the company was losing out on sales due to highly seasonal nature of demand. The plant was fully loaded during 4 months of the year and was ignoring many possible requests for product. At the same time, they had many unused capacity in the
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|C Programming and Data Structures |3+1 |- |6 | | |Network Analysis |2+1 |- |4 | | |Electronic Devices and Circuits |3+1 |- |6 | | |Engineering Drawing |- |3 |4 | | |Computer Programming Lab.
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1.3 Methodology In a genetic algorithm there are a population of candidate solutions it’s called 1) Individuals 2) Creatures 3) Phenotypes to optimize a problem is evolved toward a best solutions. Each solution has a set of properties it is a chromosomes or a genotype, which they can be mutated, solutions are represented in binary as strings(0,1) also the other encodings are also possible. The evolutions usually start from a population randomly generated individuals, and are an iterative process
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employs three full-time employees and one ¾ - time employee. a. Formulate a linear programming model for production planning for Delight Dairy Company. b. Solve the problem Graphically. c. Now, suppose that 10 additional labor-hours could be made available by hiring that part time employee as a full time one. What does this do to the solution? Show the result graphically. d. Refer to the original case described in (a). Suppose competition has forced the price of ice cream down from
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Yield revenue management system has optimized profit by utilizing demand forecast, inventory allocation, and seamless interface to the reservation system. Prior to One Yield, Marriott relied on the manual approach through historical rates. The problem with this approach is that the complexity of daily updates and rapid changes in demand over a very long booking horizon creates static rates. These rates do not reflect individual customers’ willingness to pay, do not reflect the potential for displacement
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university of bahrain | Operation Research | Case Study (Transportation Problem) | | Ali Al-Nasser | 20092446 | Problem Al Kobaisi Group is a ready mix company which has three plants in various locations among Kingdom of Bahrain. They signed a contract with Al-Moayed contracting to supply them with concrete mix for three different projects located at three different areas. The following tables show the amount of concrete mix each plant can provide and required quantities for each
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Abstract: In this paper we first see how NP problems can be categorized and look at some examples. We then analyze the subset sum problem and prove its NP completeness. We look at various algorithms used to solve the problem and the efficiency of each algorithm. Hence we prove that subset sum problem is NP complete. Keywords: NP complete, NP hard, complexity, subset sum, exponential I. Introduction In the study of computation complexity of problems, we find out the resources required during
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Two primal problems are constructed implementing the structural risk minimization principle; 2) The dual problems of these two primal problems have the same advantages as that of the standard SVMs, so that the kernel trick can be applied directly; 3)The dual problems have the same elegant formulation with that of standard SVMs and can certainly be solved efficiently by sequential minimization optimization algorithm, while existing GEPSVM or TWSVMs are not suitable for large scale problems; 4) It has
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