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mathematical physicists of our age. The contributions vary in style, purpose, and content - some are surveys where leading experts sum up and clarify a;
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the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are;
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the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are;
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Combines the expertise of a registered commodity broker and a systems analyst to bring readers up to date on candlestick charting methods;
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application to stochastics and mathematical physics--offering current methods of construction for stochastic processes in the field of p-adic numbers;
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in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the;
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This book constitutes thoroughly revised selected papers of the 6th International Conference on Numerical Analysis and Its Applications;
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graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;
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graduate students and experts using methods of cluster analysis and applications in various fields. Suitable for an introductory course on cluster;
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of quantitative analysis in molecular spectroscopy and reflectance spectroscopy, and new data processing methods. Mathematical methods in special areas;
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polynomials, splines, and operators, and applications to stochastics; numerical methods for approximation of deterministic and stochastic integrals;
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Advanced Topics in Mathematical Analysis is aimed at researchers, graduate students, and educators with an interest in mathematical;
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hedging of derivatives in markets dominated by renewables, all of which further develop the theory of stochastic analysis and mathematical finance;
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provides the motivations of definitions and the ideas underlying proofs but does not sacrifice mathematical rigour. From Vector Spaces to Function;
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shaping the model-based analysis of chemical and biological engineering systems. Covering an ideal balance of basic mathematical principles and;
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shaping the model-based analysis of chemical and biological engineering systems. Covering an ideal balance of basic mathematical principles and;
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methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts;
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mathematical methods and applications in the biosciences. Topics focus on advanced mathematical methods, with chapters on the mathematical analysis;
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were presented at the European Seminar on Mathematical Methods for Survival Analysis, Reliability and Quality of Life in 2006.;
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book: Emphasizes mathematical modeling, dimensional analysis, scaling, and their application to macroscale and nanoscale;
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covered include Assouad dimensions and their connection to analysis, multifractal properties of functions and measures, renewal theorems;
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results and applications that will prove valuable to graduate students and researchers working in mathematical analysis.;
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Drawing on advanced probability theory, Ambit Stochastics is used to model stochastic processes which depend on both time and space. This;
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. Methods to extend random distributions to random currents are introduced and analyzed in this book. Beginning with an overview of mathematical;
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statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;
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Discusses interesting topics in statistical and mathematical sciences and their applications authored by renowned statisticians and;
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This important book provides a concise exposition of the basic ideas of the theory of distribution and Fourier transforms and its;
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