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Neural networks and genetic algorithms draw on the problem-solving strategies of the natural world which differ fundamentally from the mathematically-based computing... Læs mere
This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare.
The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and... Læs mere
Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings... Læs mere
Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings... Læs mere
Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation,... Læs mere
Presents theories, techniques, and methods used for analyzing algorithms. This text provides information on asymptotics, including Rice's method, the Euler and Boole... Læs mere
This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in... Læs mere
Originally published in 1995, Large Deviations For Performance Analysis develops the theory of large deviations from the beginning through recent results on the theory for processes with boundaries and looks at a collection of applications developed at Bell Laboratories.