Описание: An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. For this, Ito used, as a fundamental tool, the notion of Poisson point processes formed of all excursions of the process on S \ {a}.
Автор: Bowman Gregory R. Название: Introduction to Markov State Models and Their Application to ISBN: 9400776055 ISBN-13(EAN): 9789400776050 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the mathematical foundations of Markov models and details how they can be used to analyze simulations and drive efficient simulations. It also presents some of the insights these models have yielded in a variety of applications.
Автор: Wolfgang Klas; Michael Schrefl Название: Metaclasses and Their Application ISBN: 3540600639 ISBN-13(EAN): 9783540600633 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Conventional object-oriented data models are closed: although they allow users to define application-specific classes, they usually come with a fixed set of modelling primitives. Using an extended metaclass concept, this book provides an object-oriented data model for the solution of this problem.
Описание: According to a recent report of the United States Census Bureau, world population as of June 30, 1983, was estimated at about 4. Another way of viewing the yearly increase in world population is to compare it to 234 million, the estimated current population of the United States.
Автор: Fabrizio D`Amore; Paolo Giulio Franciosa; Alberto Название: Graph-Theoretic Concepts in Computer Science ISBN: 3540625593 ISBN-13(EAN): 9783540625599 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains 30 revised full papers from the 1996 International Workshop on Graph-Theoretic Concepts in Computer Science. Topics covered include: graph algorithms; graph rewriting; hypergraphs; graph drawing; networking; approximation and optimization; trees; and graph computation.
Описание: The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.
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