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This book provides a clear understanding regarding the fundamentals of matrix and determinant from introduction to its real-life applications.
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Moreover, a problem in which the optimum shape is obtained based on domain variation is referred to as a shape optimization problem of domain variation type, or a shape optimization problem in a limited sense.
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Public key cryptography is a major interdisciplinary subject with many real-world applications. This book has been carefully written to communicate the major ideas... Læs mere
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A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory.... Læs mere
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Cryptography, in particular public-key cryptography, has emerged an important discipline that is not only the subject of an enormous amount of research, but provides the... Læs mere
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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