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Describes computational number theory and its applications to deriving fast algorithms for digital signal processing. The text demonstrates the importance of computational number theory in the design of processing algorithms and it describes the nature and structure of the algorithms themselves.
Simulation is a multi-disciplinary field, and significant simulation research is dispersed across multiple fields of study. This book brings together the complex technologies for distributed simulation. It places emphasis on simulation methodologies, including object-oriented, multilevel, and multi-resolution simulation.
Introduces modern issues in the theory of algorithms, emphasizing complexity, graphs, parallel processing, and visualization. This book uses an appropriate subset of frequently utilized and representative algorithms and applications in order to demonstrate the unique and modern aspects of the C++ programming language.
This work discusses existing and potential threats to computer systems and networks, and outlines the basic actions that are generally taken to protect them. Topics covered include: security models; authentication issues; access control; intrusion detection and damage control.
Utilizes an eleven-step model to represent the simulation process from problem formulation to implementation and documentation. This book presents the necessary level of detail required to develop a model that produces meaningful results and considers the tools necessary to interpret those results.
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