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The sixth edition of this highly successful textbook provides a detailed introduction to Monte Carlo simulation in statistical physics, which... Læs mere
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This book introduces readers to MATLAB-based data analysis methods used in the geosciences, including basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data, and image analysis.
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This uniquely inspirational and practical book explores human simulation, which is the application of computational modeling and simulation to research subjects in the humanities disciplines.
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The Handbook of Materials Modeling, 2nd edition is a six-volume major reference serving a steadily growing community at the intersection of two mainstreams of global research: computational science and materials science and technology.
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In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model.
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This book is an introductory text to a range of numerical methods used today to simulate time-dependent processes in Earth science, physics, engineering,... Læs mere
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Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific... Læs mere
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This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of... Læs mere
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This book provides an introduction to reservoir simulation, by a simulator... Læs mere
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This textbook introduces the basic concepts of mathematical modelling when applied to natural systems. It focuses on tackling real-world problems from a variety of fields including physics, ecology, geology and epidemiology.