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 Algorithms Sequential & Parallel: A Unified Approach
Effective computing requires the design, analysis, implementation, and evaluation
of algorithms to solve problems of interest. Computational problems come from
a wide variety of areas including science, engineering, business, athletics, architecture,
medicine, management, economics, psychology, anthropology, and entertainment,
to... |  |  Virtualization Essentials
A full-color beginner's guide to the core concepts and skills of virtualization
Virtualization is the IT world's hottest trend in recent years, and many colleges do not yet have curricula in place to prepare students for this important area. This guide fills the need, with a learn-by-doing approach to mastering the... |  |  |
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 Foundations of Robotics: Analysis and Control
Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators. It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively clear way, the necessary background in kinetics, linear algebra, and control theory.... |  |  Circuit Complexity and Neural Networks (Foundations of Computing)
Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the... |  |  On Computing: The Fourth Great Scientific Domain
Computing isn't simply about hardware or software, or calculation or applications. Computing, writes Paul Rosenbloom, is an exciting and diverse, yet remarkably coherent, scientific enterprise that is highly multidisciplinary yet maintains a unique core of its own. In On Computing, Rosenbloom proposes that computing is a great... |
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