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From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved... Læs mere
The high demand in science and engineering communities requires more efficient and intelligent solutions to complex optimization problems... Læs mere
Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines.
This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed... Læs mere
This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
This book explores the application of algorithms to such methods as automatic simplification, polynomial decomposition, and polynomial... Læs mere
Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the Big Data phenomenon.
This class-tested textbook provides a comprehensive and accessible introduction to the theory of automata and computation. It incorporates modern/handy ideas, such as derivative-based parsing and a Lambda reducer showing the universality of Lambda calculus.
Computer programming is an empowering skill for those who wants to better the world, improve their career, or just have fun. This book covers... Læs mere
This book is an introductory textbook on the design and analysis of algorithms. This second edition will differ from the present edition mainly in that solutions to most of the exercises will be included.
First published in 1987, the seven chapters that comprise this book review contemporary work on the geometric side of robotics.