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    Gps Algorithm

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    Lab Report for Computer Assignment #2 GPS Algorithm Introduction In order to guide each object correctly on the earth‚ the GPS satellites need to locate them very accurately. The goal of the assignment is to use some optimization methods to locate an object with given pseudo-range data. The signals which are sent from satellites to the target are not accurate because the systematic errors caused by inaccurate receiver clock and some other random noise. The un-accurate range is known as pseudo-range

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    Euclidean algorithm

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    Euclidean algorithm In mathematics‚ the Euclidean algorithm‚ or Euclid’s algorithm‚ is a method for computing the greatest common divisor (GCD) of two (usually positive) integers‚ also known as the greatest common factor (GCF) or highest common factor (HCF). It is named after the Greek mathematician Euclid‚ who described it in Books VII and X of his Elements. The GCD of two positive integers is the largest integer that divides both of them without leaving a remainder (the GCD of two integers in

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    (or epityphlitis) is a condition characterized by inflammation of the appendix. All cases require removal of the inflamed appendix‚ either by laparotomy or laparoscopy. Untreated‚ mortality is high‚ mainly because of peritonitis and shock.[1] Reginald Fitz first described acute appendicitis in 1886‚[2] and it has been recognized as one of the most common causes of severe acute abdominal pain worldwide. Location of the appendix in the digestive system On the basis of experimental evidence‚ acute

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    PageRank Algorithm

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    PageRank Algorithm December 9‚ 2012 Abstract This paper dicsusses the PageRank algorithm. We carefully go through each step of the algorithm and explain each procedure. We also explain the mathematical setup of the algorithm‚ including all computations that are used in the PageRank algorithm. Some of the topics that we touch on include the following‚ but not limited to‚ are: linear algebra‚ node analysis‚ matrix theory‚ and numerical methods. But primarily this paper concerns itself with

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    Verification vs Validation

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    Verification versus Validation: Verification and Validation are the two forms of testing software. Verification ensures that the system (software‚ hardware‚ documentation‚ and personnel) complies with an organization’s standards and processes‚ relying on review of non-executable methods. Validation physically ensures that the system operates according to plan by executing the system functions through a series of tests that can be observed and evaluated. Verification answers the question

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    Algorithms and Flowcharts

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    Algorithm The term algorithm is often used to refer to the logic of a program It is a step-by step description of how to arrive at the solution of the given problem. It may be formally defined as a sequence of instructions‚ designed in a manner that‚ if the instructions are executed in the specified sequence‚ the desired results will be obtained. In order to qualify as an algorithm‚ a sequence of instructions must possess the following characteristics: Sample Algorithms 50 Students in a class

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    Network Algorithms

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    607: Advanced Network Algorithms Spring 2009 Last updated: Jan 9‚ 2009 ❑ Instructor: Galen H. Sasaki. Email: sasaki@spectra.eng.hawaii.edu. Tel: 348 9432 (cell). Office: Holmes 436. Office Hours: MW 1:45-2:45. ❑ Days and Times: MW 12:30-1:45pm (May change if we can find a room and days/times) ❑ Room: Holmes 389 ❑ Brief Course Description: The course will cover algorithms that are used in network research and implementation. These include graph algorithms‚ transmission scheduling

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    Exam on Algorithms

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    60 LABEL A 70 END (i) Explain what is being achieved. [4] (ii) If you replaced the line LET Y = X/3 by the line LET Y = X/5‚ how would this change the outcome of the above? [1] 2. The following algorithm is to be applied to the positive integers from 1 to 12. Step 1: Cross out every even number. Step 2: Change the state of every multiple of 3 (including 3) – i.e. for every multiple of 3‚ if it is crossed out then remove the crossing

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    Mrp Algorithm

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    with producers. MRP Overview Planning Algorithm • Start at the due date for a finished product (or end item ) (Tk). • Determine the last operation‚ the time required for that operation (tk−1)‚ and the material required for that operation. • The material may come from outside‚ or from earlier operations inside the factory. • Subtract the last operation time from the due date to determine when the last operation should start. MRP Overview Planning Algorithm Tk−1 = Tk − tk−1 • The material required

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    Backtracking Algorithms

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    Chapter 7 Backtracking Algorithms Truth is not discovered by proofs but by exploration. It is always experimental. — Simone Weil‚ The New York Notebook‚ 1942 Objectives • • • • • • To appreciate how backtracking can be used as a solution strategy. To recognize the problem domains for which backtracking strategies are appropriate. To understand how recursion applies to backtracking problems. To be able to implement recursive solutions to problems involving backtracking. To comprehend the minimax

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