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Deep Learning with R introduces deep learning and neural networks using the R programming language. The book starts with an introduction to machine learning and moves on to... Læs mere
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An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in... Læs mere
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The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis.... Læs mere
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The book describes both mathematical and computational tools for energy and power risk management, deriving from first principles stochastic models for simulating commodity risk and how to design robust C++ to implement these models.
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The mathematical modelling of the human cardiovascular system, from patient data to clinical... Læs mere
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The mathematics behind, and the practice of, computational methods that leverage data for modelling dynamical systems are described... Læs mere
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Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.
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Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.
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The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering.
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Retaining the general organization and style of its predecessor, this new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing and computational statistics.