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Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others.
This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems.
This book shows how mathematics, computer science and science can be usefully and seamlessly intertwined. It introduces specialized data for emotional content, which allows a brain model to be built using MatLab tools, and also highlights a simple model of cognitive dysfunction.
This book presents the first algebraic treatment of quasi-truth fuzzy logic and covers the algebraic foundations of many-valued logic. The book presents... Læs mere
In the meantime, it was realized that they can be used for solving important problems of prediction and statistical... Læs mere
It develops the relevant theory at a modern level and it directly relates modern mathematical ideas to their diverse applications. The authors develop the whole theory.
This book is the first one addressing quantum information from the viewpoint of group symmetry. This book treats optimal information processes including quantum state estimation, quantum state cloning, estimation of group action and quantum channel etc.
This book presents a deep spectrum of musical, mathematical, physical, and philosophical perspectives that have emerged in this field at the intersection of music and mathematics.