Operations research An introduction to solution methods Ecole des Mines de Nantes Master MOST 2012-2013 Olivier Péton - 1- Problem Min f ( x ) xS An optimization problem S is the solution set that represents all feasible solutions of a problem. f is the objective function that maps S to R. It evaluates each feasible solution. Also called evaluation function or cost function Minimization = maximization ! max f ( x) min ( f ( x)) xS xS - 2- Mathematical
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This file contains the exercises‚ hints‚ and solutions for Chapter 2 of the book ”Introduction to the 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 2.1 1. For each of the following algorithms‚ indicate (i) a natural size metric for its inputs; (ii) its basic operation; (iii) whether the basic operation count can be different
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University of South Florida Scholar Commons Graduate School Theses and Dissertations Graduate School 6-1-2008 Detecting financial statement fraud: Three essays on fraud predictors‚ multi-classifier combination and fraud detection using data mining Johan L. Perols University of South Florida Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the American Studies Commons Scholar Commons Citation Perols‚ Johan L.‚ "Detecting financial statement fraud: Three essays on
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Algorithms * An algorithm is a list of instructions * An algorithm is a step-by-step procedure * Example: A Recipe for baking Cookies 1. Prepare the Ingredients 2. Preheat the Oven 3. Mix ingredients together 4. Put Batter on Baking Sheets 5. Bake in the Oven 6. Take out from Oven 7. Eat the Cookies Computer Algorithms: To write a computer algorithm: * You have to tell the computer‚ step by step‚ exactly what you want it to do. The
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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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weakness in the MD5 algorithm that would allow for collisions in output. As a result‚ attackers can generate cryptographic tokens or other data that illegitimately appear to be authentic. Now the secondary affect is that the MD5 hashes may allow for certificate spoofing on a Cisco ASA system. If an attacker was able to exploit this weakness on the University’s cryptosystem‚ the said attacker could construct forged data in a variety of forms that will cause software using the MD5 algorithm to incorrectly
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“Precognitive Police”‚ Henrick Karoliszyn shares his experiences with a new technology that uses a new algorithm as a way to prevent crime before it happens. There are many benefits to having this new technology‚ but there are negatives as well. The way the algorithm works is by factoring in a few details such as‚ previous crime reports‚ people with more than one offense‚ targeted crime areas‚ and more. An algorithm can help police prevent crimes from happening‚ although the process could potentially have some
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JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY INSTITUTE OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY BSc COMPUTER TECHNOLOGY Literature Review On DIGITAL IMAGE CRYPTOSYSTEM WITH ADAPTIVE STEGANOGRAPHY NAME REG NO : JOHN NJENGA : CS 282-0782/2009 SUPERVISORS: DR. OKEYO MR. J WAINAINA 1 DECLARATION I declare that all materials presented here are my own original work‚ or fully and specifically acknowledged wherever adapted from other sources. The work has not been submitted previously
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Computer Engineering Mekelweg 4‚ 2628 CD Delft The Netherlands http://ce.et.tudelft.nl/ 2010 MSc THESIS Optimization of Texture Feature Extraction Algorithm Tuan Anh Pham Abstract Texture‚ the pattern of information or arrangement of the structure found in an image‚ is an important feature of many image types. In a general sense‚ texture refers to surface characteristics and appearance of an object given by the size‚ shape‚ density‚ arrangement‚ proportion of its elementary parts. Due to
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Feldbauer‚ Franz Pernkopf‚ and Erhard Rank Signal Processing and Speech Communication Laboratory Inffeldgasse 16c Abstract This tutorial introduces the LMS (least mean squares) and the RLS (recursive least-squares) algorithm for the design of adaptive transversal filters. These algorithms are applied for identification of an unknown system. Usage To make full use of this tutorial you have to 1. Download the file AdaptiveFilter.zip which contains this tutorial and the accompanying Matlab program(s)
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