methods. The iterative methods are characterized by the various performance features as under: Selection of initial solution/ estimates Determination of fresh/ new estimates during each iteration Selection of number of iterations as per tolerance limit Time per iteration and
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findings show that the different contours and iterations produced become increasingly accurate as the grid value increase or the order of discretization increases. 2. Altering the Residuals The following graphs show comparisons in residuals for different number of iterations‚ for a first order discretization 2.1 Iteration for a triangular mesh {draw:frame} {draw:frame} Figure 2.1: Original mesh Figure 2.2:Mesh with reduced residuals 2.2 Iteration for a quadilateral mesh {draw:frame}
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in high demand nowadays. The size of antenna can be designed with many kinds of miniaturization techniques. This thesis presents the design of a fractal patch microstrip antenna and a simple rectifying circuit. The antenna is a miniaturized first iteration Koch fractal island patch at 2.45 GHz ISM band (WiFi‚ RFID‚ Bluetooth‚ etc). It is intended for a rectenna which is used to harvest electric energy from bountiful the unused microwave RF signals into DC
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efficiency as the array version? 8. Sort the list E‚ X‚ A‚ M‚ P‚ L‚ E in alphabetical order by bubble sort. 9. a. Prove that if bubble sort makes no exchanges on its pass through a list‚ the list is sorted and the algorithm can be stopped. 1 b. Write a pseudocode of the method that incorporates this improvement. c. Prove that the worst-case efficiency of the improved version is
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Laura: A‚A‚F Marissa: D‚D‚A‚B GPA for Steve: 3.0 GPA for James: 3.0 GPA for Chris 1.75 GPA for Kelly: 2.25 GPA for Rick: 1.25 GPA for Crystal:1.75 GPA for David: 3.0 GPA for Kelsey: 2.8 GPA for Laura: 2.67 GPA for Marissa: 2.25 Pseudocode- //Purpose: This program will allow students to input their name and grades to determine a GPA value //Developer: Joe Metz //GPA Calculator //Variable Definition Input=STUDENT_NAME‚ GRADES Floats=GPA Integers= NUM_OF_CLASSES‚ GRADE_POINTS‚A‚B‚C
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Introduction to Agile Methodology What is Agile? Agile methodology is an approach to the project management which help to respond to the unpredictability of building software through incremental‚ iterative work cadences‚ known as sprints. This methodology was developed to deal with situation where the waterfall model fails. The biggest drawback of waterfall model is that it assumes that every requirement of the project can be identified before any design or coding occurs. This may always be applicable
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SCHOOL OF COMPUTER SCIENCES Semester I‚ Academic Session 2013/2014 CPT111 - Principles of Programming Assignment 4 For the question below‚ you are to include the following details: (i) (ii) (iii) Problem analysis Design (flow chart or pseudocode) C++ program code Solve the problem below: 1. Create an educational arithmetic guessing game that will allow the player to choose the difficulty level of the game: easy‚ intermediate or advance level. Easy level will involve numbers between
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part of the sequence‚ this concept is of practical importance if we deal with a sequence of successive approximations for an iterative method‚ as then typically fewer iterations are needed to yield a useful approximation if the rate of convergence is higher. This may even make the difference between needing ten or a million iterations. Iterative methods Regular-falsi method: Like the bisection method‚ the false position method starts with two points a0 and b0 such that f(a0)
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COMPUTATIONAL FLUID DYNAMICS (MKM411) Dr. M. Sharifpur mohsen.sharifpur@up.ac.za April 2nd Department of Mechanical and Aeronautical Engineering University of Pretoria 2013 Test 1 Perusal Friday April 5th 12:00 to 14:00 CFD Training Courses The schedule is already posted on clickUP (find your group in the clickUP) ANSYS-FLUENT (Group1) FLoEFD ANSYS-FLUENT (Group2) STAR CCM+ (Group 1) STAR CCM+ (Group 2) April 3rd 9:00-17:00 April 10th 9:00-17:00 April 11th 8:00-10:15 and then 11:30
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Executive Summary "Clouds are not spheres‚ mountains are not cones‚ coastlines are not circles and bark is not smooth‚ nor does the lightning travel in a straight line." - Benoit Mandelbrot Beautiful patterns surround us. You can see them on trees‚ clouds‚ on bodies of water. You can even see them on plants‚ on animals and on our very skin. The very tips of our fingers prove just that. There is also no doubt that patterns are just as mysterious as they are beautiful. In fact‚ there are some patterns
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