2010 A Secure Steganography Method based on Genetic Algorithm Shen Wang‚ Bian Yang and Xiamu Niu School of Computer Science and Technology Harbin Institute of Technology 150080‚ Harbin‚ China shen.wang@ict.hit.edu.cn; bian.yang@ict.hit.edu.cn; xiamu.niu@hit.edu.cn Received April 2009; revised August 2009 Abstract. With the extensive application of steganography‚ it is challenged by steganalysis. The most notable steganalysis algorithm is the RS attack which detects the steg-message by the
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Unit 1 Lesson 1: Optimization with Parameters In this lesson we will review optimization in 2-space and the calculus concepts associated with it. Learning Objective: After completing this lesson‚ you will be able to model problems described in context and use calculus concepts to find associated maxima and minima using those models. You will be able to justify your results using calculus and interpret your results in real-world contexts. We will begin our review with a problem in which most
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INFORMATION TECHNOLOGY ASSIGNMENT ON ALGORITHM Done by Densil Hamilton INTRODUCTION This Assignment was done to show the methods of algorithm. It outlines the meaning of algorithm and steps to be carried out to complete a give problem. Examples were also shown for the methods of representing algorithm. What is an Algorithm? An algorithm consists of a set of explicit and unambiguous finite steps which‚ when carried out for a given set of initial conditions‚ produce the corresponding
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Algorithm is a list of instructions for carrying out some process step by step Flowchart is a diagram representing the logical sequence in which a combination of steps or operations is to be performed Types of Flowcharts Program Flowchart – describes graphically in detail the logical operations and steps within a program and sequence in which these steps are to be executed for the transformation of data to produce the needed output System Flowchart – is a graphic representation of the
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Adopt Algorithm for Distributed Constraint Optimization Pragnesh Jay Modi Information Sciences Institute & Department of Computer Science University of Southern California http://www.isi.edu/~modi Distributed Optimization Problem “How do a set of agents optimize over a set of alternatives that have varying degrees of global quality?” Examples l allocating resources l constructing schedules l planning activities Difficulties l No global control/knowledge l Localized communication l Quality
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Scilab Datasheet Optimization in Scilab Scilab provides a high-level matrix language and allows to define complex mathematical models and to easily connect to existing libraries. That is why optimization is an important and practical topic in Scilab‚ which provides tools to solve linear and nonlinear optimization problems by a large collection of tools. Overview of the industrial-grade solvers available in Scilab and the type of optimization problems which can be solved by Scilab. Objective
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SIMULATION OPTIMIZATION: APPLICATIONS IN RISK MANAGEMENT[1] MARCO BETTER AND FRED GLOVER OptTek Systems‚ Inc.‚ 2241 17th Street‚ Boulder‚ Colorado 80302‚ USA {better‚ glover}@opttek.com GARY KOCHENBERGER University of Colorado Denver 1250 14th Street‚ Suite 215 Denver‚ Colorado 80202‚ USA Gary.kochenberger@cudenver.edu HAIBO WANG Texas A&M International University Laredo‚ TX 78041‚ USA hwang@tamiu.edu Simulation Optimization is providing solutions to
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Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although
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Introduction Linear optimization is a mathematical method for determining a way to achieve the best outcome such as maximum profit or lowest cost in a given mathematical model for some list of requirements represented as linear relationships. Linear programming is a specific case of mathematical programming The Primary Purpose of the present investigation is to develop an interactive spreadsheet tool to aid in determining a maximum return function in 401K plan. In this paper‚ we discuss how the
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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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