Data Analysis and Approximate Models, Davies, Patrick Laurie
Автор: Kiss, Istvan Z Miller, Joel C Simon, Peter L Название: Mathematics of epidemics on networks ISBN: 3319508040 ISBN-13(EAN): 9783319508047 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by:
Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book;
Presenting different mathematical approaches to formulate exact and solvable models;
Identifying the concrete links between approximate models and their rigorous mathematical representation;
Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity;
Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks;
Providing software that can solve differential equation models or directly simulate epidemics on networks.
Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.
Автор: Kiss Istvбn Z., Miller Joel C., Simon Pйter L. Название: Mathematics of Epidemics on Networks: From Exact to Approximate Models ISBN: 3319844946 ISBN-13(EAN): 9783319844947 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides an exciting new addition to the area of network science featuring a stronger and more methodical link of models to their mathematical origin and explains how these relate to each other with special focus on epidemic spread on networks. The content of the book is at the interface of graph theory, stochastic processes and dynamical systems. The authors set out to make a significant contribution to closing the gap between model development and the supporting mathematics. This is done by: * Summarising and presenting the state-of-the-art in modeling epidemics on networks with results and readily usable models signposted throughout the book; * Presenting different mathematical approaches to formulate exact and solvable models; * Identifying the concrete links between approximate models and their rigorous mathematical representation; * Presenting a model hierarchy and clearly highlighting the links between model assumptions and model complexity; * Providing a reference source for advanced undergraduate students, as well as doctoral students, postdoctoral researchers and academic experts who are engaged in modeling stochastic processes on networks; * Providing software that can solve differential equation models or directly simulate epidemics on networks. Replete with numerous diagrams, examples, instructive exercises, and online access to simulation algorithms and readily usable code, this book will appeal to a wide spectrum of readers from different backgrounds and academic levels. Appropriate for students with or without a strong background in mathematics, this textbook can form the basis of an advanced undergraduate or graduate course in both mathematics and other departments alike.
Автор: Ulmer Marlin Wolf Название: Approximate Dynamic Programming for Dynamic Vehicle Routing ISBN: 3319856812 ISBN-13(EAN): 9783319856810 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs).
Автор: Rolf-Dieter Reiss Название: Approximate Distributions of Order Statistics ISBN: 1461396220 ISBN-13(EAN): 9781461396222 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications.
Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.
Автор: A.D. Egorov; P.I. Sobolevsky; L.A. Yanovich Название: Functional Integrals ISBN: 9401047731 ISBN-13(EAN): 9789401047739 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Integration in infinitely dimensional spaces (continual integration) is a powerful mathematical tool which is widely used in a number of fields of modern mathematics, such as analysis, the theory of differential and integral equations, probability theory and the theory of random processes.
Автор: Eyke H?llermeier Название: Case-Based Approximate Reasoning ISBN: 9048174317 ISBN-13(EAN): 9789048174317 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR.
Описание: The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems.
Автор: Daniel Durstewitz Название: Advanced Data Analysis in Neuroscience ISBN: 3319867504 ISBN-13(EAN): 9783319867502 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Нет в наличии.
Описание: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics.
Автор: Nicholas P. Jewell; Alan C. Kimber; Mei-Ling Ting Название: Lifetime Data: Models in Reliability and Survival Analysis ISBN: 0792337832 ISBN-13(EAN): 9780792337836 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University.
Автор: Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick Название: Grade Models and Methods for Data Analysis ISBN: 3540211209 ISBN-13(EAN): 9783540211204 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a new grade methodology for intelligent data analysis. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners.
Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.
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