# Iteration

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Iteration like before is what this approach is all about, the more we iterate the more we understand of what we are dealing with. Having a complete understanding of how the system works, through cycles of iterations is the key to a successful project. As (Osterweil, 2011) has stated “… with iterations driven by the need to understand and contain risk, and with each iteration yielding the increasingly deep and complete understandings upon which successful software development must rest.” There are many advantages to this approach, but when there are advantages, there are also disadvantages. The advantages of the spiral model approach are of the following: • The high amounts of risk analysis performed, therefore risks are contained and controlled. • Good for large and mission-critical projects. • Strong approval and high level of documentation control. • Addition requirement can be added at a later time, without disruption of…

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We conducted an iteration lab, where we were supposed to do 5 different iterations to our coaster car. But we didn’t have enough time to complete all of the iterations. But we successfully completed 2 of the iterations. For our first iteration we replaced rubber tires to both sets of wheels. We recorded 3 trials and the veer of each trial. This iteration had a good impact on our coaster car because the distance was so high and the veer was average. So we decided to keep this iteration. For our…

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\$Y\$. Both \$X^*\$ and \$Y^*\$ additively regulate the production of \$R^*\$, the response. The equations governing the module are given by Ignoring the diffusive terms, these equations can be represented by the following matrices, When applying the program to this module, we reach the conclusion that the family is \$S\$-injective, on the first iteration, with the determinant criterion. There is a signal \$S\$ that additively regulates two parallel pathways, \$X\$ and \$Y\$. \$X^*\$ acts as an inhibitor of…

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The Mandelbrot and Filled Julia Sets The Mandelbrot and Filled Julia Sets are sets of numbers that are composed of complex numbers that do not diverge for varying conditions of the function fc(z)=z²+c. For the Mandelbrot set, the function is iterated from z=0. The filled Julia set holds c constant for any complex number to look at the behavior of the iterated functions for each value of z in the complex plane. Both sets are derived from the iterations of simple functions in the complex plane,…

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• In do while loop statements are executed without any condition check for first iteration and are executed only if the condition is true for the successive iterations. • until is used to iterate statements until a particular expression or condition is evaluated to true. • foreach and dolist are used to iterate statements over an array or a list. Both the loops can have a variable whose value represents an element of the list for each iteration. • dotimes is similar to dolist but instead of…

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agent in the swarm; 2. Swarm: the population of the agents; 3. Location/Position: agent has n-dimensional coordinates. It represents a best solution for the problem; 4. Generation: each iteration of optimization procedure using the Particle Swarm Optimization to solve problem; 5. Fitness Function: It provides the interface between the optimization problem and the physical problem. 6. Vmax: the maximum velocity value allowed in specified direction. 7. gbest (global best): the position in…

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Iteration on Stanley Street 1/52-54 Stanley Street, Darlinghurst, New South Wales, Australia 2010 A relatively small gallery in the middle of Stanley Street brings together three artist displaying their artworks that vary in scale, medium, and character. The gallery standings in the heart of Sydney’s Darlinghurst art precinct, the exciting energetic gallery displays works of mostly Australian Artists. Showcases the works of established and emerging artists. The space is a multi-disciplinary…

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methodology, especially in the environment that our company is in. These benefits are: 1. Using the SCRUM methodology will allow our company to grow with each iteration. 2. Each iteration we sent out to the market will gain a business value of its own. 3. As producing a product using the SCRUM methodology generally requires a shorter amount of time, it will give the company the potential to be the ‘first mover’. 4. Due to the nature of our business, updates and demands are…

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The Monte Carlo method is a technique that involves using random numbers and probability and running many iterations to solve problems which is analogous to gambling. When we increase the number of iteration, the output of the simulation will increase until we reached the number that increasing the number of iterations will have very insignificant affect on the overall output. A good number of iterations should be when we increase the number it will not produce a significant difference in…

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Using Arrangement of the Ant Colony Algorithm to solve Chinese TSP problem setting m=25, α=1, β = 5, ρ = 0.25, the number of ant that can release pheromone is 7, and the maximum iterations is 100, the simulation results show that its optimal solution is 15,381km, and the iterations is only 58 times[10]. Which is less than genetic algorithm,alignment algorithm and other algorithms.But it still falls into local optimum easily and has low probability to get the optimal…

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