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systematic statistical analyses of numerical data. Applications to folding, aggregation, and substrate adsorption processes of polymers and proteins;
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Multiphysics Modeling: Numerical Methods and Engineering Applications: Tsinghua University Press Computational Mechanics Series;
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This monograph discusses the essential principles of the evaporationprocess by looking at it at the molecular and atomic level. In the;
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that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world;
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Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;
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the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly;
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get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory;
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This book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium;
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discussions of: Physics of the ionosphere and thermosphere IT system, and the numerical methods to solve the basic equations of the IT;
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This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution 4.0;
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Uses mathematical, numerical, and programming tools to solve differential equations for physical phenomena and engineering problems;
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A comprehensive manual on the efficient modeling and analysis of photonic devices through building numerical codes, this book provides;
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A lucid presentation of statistical physics and thermodynamics which develops from the general principles to give a large number;
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of statistical physics and thermodynamics before covering applications, experimental justifications, and practical implementations. He describes;
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of statistical physics and thermodynamics before covering applications, experimental justifications, and practical implementations. He describes;
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Problems in Physics6 The Numerical Solution of Minimization Problems7 The Weak Formulation and Galerkin's Method 8 Extension;
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discuss the statistical mechanics of lattice gases, diffusion phenomena, reaction-diffusion processes and non-equilibrium phase transitions. A;
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submissions. They are organized in topical sections on mathematical modeling and methods, numerical modeling and methods, computational support of the;
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of stochastic models from observations; and statistical tests and classification methods.;
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Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations provides a broad overview of recent;
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form of theoretical, experimental and numerical modeling studies. The differences in the electromigration of Al- and Cu-based interconnections;
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extreme conditions and the mathematical modeling techniques involved in numerical simulations of its properties and behavior. Focusing on;
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in computer modeling and numerical techniques. Although the user-friendly and fully documented programs are written in FORTRAN, a casual familiarity;
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in computer modeling and numerical techniques. Although the user-friendly and fully documented programs are written in FORTRAN, a casual familiarity;
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in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis;
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Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures;
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