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This book present methodologies for solving optimization problems in the area of process design, using the simulator Aspen Plus as the solver of the... Læs mere
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An up-to-date survey of mathematical models of carcinogenesis, providing the most recent findings of cancer biology as evidence of the models, as well as extensive... Læs mere
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This work introduces Markov chain Monte Carlo methodology at a level suitable for applied statisticians. It explains the methodology and its theoretical background,... Læs mere
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This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems
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The basic theory presented in a way which emphasizes intuition, problem-solving and the connections with other fields.
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The complete theory of stochastic differential equations driven by jumps, their stability, and numerical approximation theories.
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The authors present a comprehensive analysis of isotropic spherical random fields, with a view towards... Læs mere
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A random walk is one of the most studied topics in probability theory and has many important applications outside of mathematics. Ideal for graduate students, this text... Læs mere
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Stochastic approximation is a technique for studying the properties of an experimental situation; it has important applications in fields such as medicine and engineering. Dr... Læs mere
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The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the... Læs mere
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The basic theory presented in a way which emphasizes intuition, problem-solving and the connections with other fields.
Bemærk: Kan ikke leveres før jul.
A unique development of these two subjects contained in a single volume. New topics featured in this fully revised edition include regular variation and... Læs mere