Michael Brause CMIS 102-6387 May 30‚ 2015 Program description: I calculated the usable area in square feet of a house. Assume that the house has a maximum of four rooms‚ and that each room is rectangular. I wrote pseudo code statements to declare 4 Integers and labeled them homesqft‚ room1‚ room2‚ room3‚ and room4. Each room will have its length and width to calculate its area. Analysis: Test Case # Input Expected Output 1 Room1: length=10‚ width=14 Room2: length=9‚ width=10 Room3: length=12
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A sequence begins much like any singular tumbling action. However it takes more force and power to carry through with a sequence of tumbling. Usually tumblers get a running start building up the momentum that will help them later. Next the tumbler will usually do a round off to begin and afterward a back-hand spring. Momentum will carry the tumbler through the sequences and the continued application of Newton’s Laws with equal and opposite force against the ground will keep propelling the tumbler
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The Target story does follow the genera APT kill chain attack model in various different ways. In regards to its full definition (white hand out) ‚ it was sophisticated‚ had multiple attack vectors‚ established extended foothills within Target‚ pursued its objectives repeatedly‚ adapted to defenders’ efforts‚ and maintained a level of interaction of execution. The Target attack was sophisticated in the sense that it was launched discretely and navigated around the (little) infrastructure and back-up
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several algorithms were used together to take information and determine best escape routes and alert rescuers of a person’s location. One of the algorithms used was a genetic algorithm‚ a model that gives a solution to a changing problem‚ similar to evolution. This was implemented to solve a “Travelling Salesman Problem” like situation where disaster conditions would be constantly changing. The Salesman problem determines the best route based on distance to the next location. The algorithm takes
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Design and Analysis of Algorithms‚” 2nd edition‚ by A. Levitin. The problems that might be challenging for at least some students are marked by ; those that might be difficult for a majority of students are marked by . Exercises 3.1 1. a. Give an example of an algorithm that should not be considered an application of the brute-force approach. b. Give an example of a problem that cannot be solved by a brute-force algorithm. 2. a. What is the efficiency of the brute-force algorithm for computing an as a
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Primal-Dual Approximation Algorithms We just saw how the primal-dual schema permits sometimes designing efficient combinatorial algorithms for solving certain problems. We will now see an example of how a related technique can sometimes be used to design efficient approximation algorithms The major tool that we will use will be the RELAXED Complementary Slackness conditions The problem we examine will again be weighted set-cover. 1 Recall that given canonical primal n minimize
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EMAP: Expedite Message Authentication Protocol for Vehicular Ad Hoc Networks ABSTRACT Vehicular Ad Hoc Networks (VANETs) adopt the Public Key Infrastructure (PKI) and Certificate Revocation Lists (CRLs) for their security. In any PKI system‚ the authentication of a received message is performed by checking if the certificate of the sender is included in the current CRL‚ and verifying the authenticity of the certificate and signature of the sender. In this paper‚ we propose an Expedite Message
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Mr. Dees has undoubtedly had enough leadership experience to last him a lifetime. When reading the case study on Mr. Dees‚ it is easy to be swayed into seeing only the pitfalls of leadership when in fact it is just as easy to see the experienced gained and losses it took to get there. This is to say that within his failures Mr. Dees gained all his triumphs. By dissecting the paragraphs in Mr. Dees story‚ I will reveal the significant learning to be gained from a leadership stand point. 1. As Mr
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Insertion Sort Insertion sort belongs to the O(n2) sorting algorithms. Unlike many sorting algorithms with quadratic complexity‚ it is actually applied in practice for sorting small arrays of data. For instance‚ it is used to improve quicksort routine. Some sources notice‚ that people use same algorithm ordering items‚ for example‚ hand of cards. Algorithm Insertion sort algorithm somewhat resembles selection sort. Array is imaginary divided into two parts - sorted one and unsorted one. At the
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Linear Programming Tools and Approximation Algorithms for Combinatorial Optimization by David Alexander Griffith Pritchard A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Doctor of Philosophy in Combinatorics and Optimization Waterloo‚ Ontario‚ Canada‚ 2009 c David Alexander Griffith Pritchard 2009 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis‚ including any required final revisions
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