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Titlebook: Operations Research, Engineering, and Cyber Security; Trends in Applied Ma Nicholas J. Daras,Themistocles M. Rassias Book 2017 Springer Int

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楼主: stripper
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On Some Information Geometric Approaches to Cyber Security,icular features from datasets of fitted distributions or empirical frequency distributions. Such statistics, for example, may be collected in the automated monitoring of IP-related data during accessing or attempted accessing of web-based resources, or may be triggered through an alert for suspected
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A Survey of Recent Inequalities for Relative Operator Entropy,n theory, dynamical systems and ergodic theory, biology, economics, human and social sciences. They are closely related to the problem of the quantification of entanglement, the distinguishability of quantum states and to thermodynamical ideas. In this paper we survey some recent inequalities obtain
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Non-equilibrium Solutions of Dynamic Networks: A Hybrid System Approach,concerned with obtaining or approximating equilibrium solutions, the study of equilibrium problems not in equilibrium provides valuable information into dynamic network behavior. One approach to study such non-equilibrium solutions stems from a connection between equilibrium problems and a class of
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Measuring Ballistic Dispersion for the Purpose of Ammunition Quality Assurance,n that the measure of ballistic dispersion currently used by the US and Canadian militaries for the purpose of ammunition quality assurance is not the most powerful in the case where the fall of shot follows a circular normal distribution. Here we consider the more general case of a general bivariat
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Optimal Inventory Policies for Finite Horizon Inventory Models with Time Varying Demand: A Unified nite planning horizon. This permits the treatment of a large number of known inventory problems in a unified manner. As decision variables are considered the number of cycles and the times that each cycle starts and ends, where the term cycle can be used to represent various operational activities i
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New Two-Slope Parameterized Achievement Scalarizing Functions for Nonlinear Multiobjective Optimizae converted into a single-objective problem. One common scalarization technique is to use the achievement scalarizing functions. In this paper, we introduce a new family of two-slope parameterized achievement scalarizing functions for multiobjective optimization. This family generalizes both paramet
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