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Monte Carlo Methods for Radiation Transport, Vassiliev


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Цена: 18167.00р.
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Автор: Vassiliev
Название:  Monte Carlo Methods for Radiation Transport
ISBN: 9783319441405
Издательство: Springer
Классификация:






ISBN-10: 331944140X
Обложка/Формат: Hardback
Страницы: 281
Вес: 0.60 кг.
Дата издания: 2017
Серия: Biological and Medical Physics, Biomedical Engineering
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 32 tables, color; 32 illustrations, color; 6 illustrations, black and white; xvii, 281 p. 38 illus., 32 illus. in color.
Размер: 167 x 300 x 26
Читательская аудитория: Professional & vocational
Основная тема: Physics
Подзаголовок: Fundamentals and Advanced Topics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is a guide to the use of Monte Carlo techniques in radiation transport. This topic is of great interest for medical physicists. Praised as a gold standard for accurate radiotherapy dose calculations, Monte Carlo has stimulated a high level of research activity that has produced thousands of papers within the past few years. The book is designed primarily to address the needs of an academically inclined medical physicist who wishes to learn the technique, as well as experienced users of standard Monte Carlo codes who wish to gain insight into the underlying mathematics of Monte Carlo algorithms. The book focuses on the fundamentals—giving full attention to and explaining the very basic concepts. It also includes advanced topics and covers recent advances such as transport of charged particles in magnetic fields and the grid-based solvers of the Boltzmann equation.
Дополнительное описание: Introduction.- Sampling techniques.- The Boltzmann equation.- Particle trajectories, tallies, variance reduction.- Transport of charged particles.- Microdosimetry. Elements of stochastic transport theory.- Grid based Boltzmann equation solvers.- Appendice



Monte Carlo Methods in Financial Engineering

Автор: Glasserman
Название: Monte Carlo Methods in Financial Engineering
ISBN: 0387004513 ISBN-13(EAN): 9780387004518
Издательство: Springer
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Цена: 11179.00 р.
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Описание: From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not."

Monte-Carlo Methods & Stochastic Pr

Автор: Gobet
Название: Monte-Carlo Methods & Stochastic Pr
ISBN: 1498746225 ISBN-13(EAN): 9781498746229
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание:

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also thoroughly develops the problem of numerical integration and computation of expectation by the Monte-Carlo method.

The book begins with a history of Monte-Carlo methods and an overview of three typical Monte-Carlo problems: numerical integration and computation of expectation, simulation of complex distributions, and stochastic optimization. The remainder of the text is organized in three parts of progressive difficulty. The first part presents basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation of stochastic differential equations. The final part discusses the simulation of non-linear dynamics.

Mathematical methods and models for economists

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Interacting Multiagent Systems: Kinetic Equations and Monte Carlo Methods

Автор: Pareschi Lorenzo, Toscani Giuseppe
Название: Interacting Multiagent Systems: Kinetic Equations and Monte Carlo Methods
ISBN: 0199655464 ISBN-13(EAN): 9780199655465
Издательство: Oxford Academ
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Цена: 14573.00 р.
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Описание: Mathematical modelling of systems constituted by many agents using kinetic theory is a new tool that has proved effective in predicting the emergence of collective behaviours and self-organization. This idea has been applied by the authors to various problems which range from sociology to economics and life sciences.

Quantum Monte Carlo Methods

Автор: Gubernatis
Название: Quantum Monte Carlo Methods
ISBN: 1107006422 ISBN-13(EAN): 9781107006423
Издательство: Cambridge Academ
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Цена: 10453.00 р.
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Описание: Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical examination of the field and its applications. This is an essential resource for graduate students, teachers, and researchers.

Monte Carlo and Quasi-Monte Carlo Methods

Автор: Cools
Название: Monte Carlo and Quasi-Monte Carlo Methods
ISBN: 3319335057 ISBN-13(EAN): 9783319335056
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

This book presents the refereed proceedings of the Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of Leuven (Belgium) in April 2014. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings include articles based on invited lectures as well as carefully selected contributed papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. Offering information on the latest developments in these very active areas, this book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in finance, statistics and computer graphics.

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