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The Power of Geometric Algebra Computing for Engineering and Quantum Computing is based on GAALOPWeb, a new user-friendly,... Læs mere
In this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing.
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
This book provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural... Læs mere
‘Machine Learning for Knowledge Discovery with R’ contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes most recent supervised and unsupervised machine learning methodologies
BL An introduction to the topic - pitched at an elementary level This Oxford Logic Guide presents a unified treatment of fixed points, self-reference, and... Læs mere
A conceptual introduction to the study of the intrinsic complexity of computational tasks. It will serve advanced undergraduate and graduate students,... Læs mere
Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature... Læs mere
Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with... Læs mere
This introductory book emphasizes algorithms and applications, and is accessible to a broad audience. The author alternates between theory and... Læs mere
This lively undergraduate combinatorics text covers all essential topics, with few prerequisites. Mini-projects, warm-up problems, and 1200+ exercises encourage active... Læs mere