Exploring Monte Carlo Methods

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  • Author : William L. Dunn
  • Publisher : Elsevier
  • Pages : 398 pages
  • ISBN : 9780080930619
  • Rating : /5 from reviews
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Download or Read online Exploring Monte Carlo Methods full in PDF, ePub and kindle. this book written by William L. Dunn and published by Elsevier which was released on 24 May 2011 with total page 398 pages. We cannot guarantee that Exploring Monte Carlo Methods book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear engineering, which are illustrative of uses in other fields. Five appendices are included, which provide useful information on probability distributions, general-purpose Monte Carlo codes for radiation transport, and other matters. The famous "Buffon’s needle problem" provides a unifying theme as it is repeatedly used to illustrate many features of Monte Carlo methods. This book provides the basic detail necessary to learn how to apply Monte Carlo methods and thus should be useful as a text book for undergraduate or graduate courses in numerical methods. It is written so that interested readers with only an understanding of calculus and differential equations can learn Monte Carlo on their own. Coverage of topics such as variance reduction, pseudo-random number generation, Markov chain Monte Carlo, inverse Monte Carlo, and linear operator equations will make the book useful even to experienced Monte Carlo practitioners. Provides a concise treatment of generic Monte Carlo methods Proofs for each chapter Appendixes include Certain mathematical functions; Bose Einstein functions, Fermi Dirac functions, Watson functions

Exploring Monte Carlo Methods

Exploring Monte Carlo Methods
  • Author : William L. Dunn,J. Kenneth Shultis
  • Publisher : Elsevier
  • Release : 24 May 2011
GET THIS BOOK Exploring Monte Carlo Methods

Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear engineering, which are illustrative of uses in other fields. Five appendices are included, which provide useful information on probability distributions, general-purpose Monte

Handbook of Monte Carlo Methods

Handbook of Monte Carlo Methods
  • Author : Dirk P. Kroese,Thomas Taimre,Zdravko I. Botev
  • Publisher : John Wiley & Sons
  • Release : 15 March 2011
GET THIS BOOK Handbook of Monte Carlo Methods

"The purpose of this handbook is to provide an accessible and comprehensive compendium of Monte Carlo techniques and related topics. It contains a mix of theory (summarized), algorithms (pseudo and actual), and applications. Since the audience is broad, the theory is kept to a minimum, this without sacrificing rigor. The book is intended to be used as an essential guide to Monte Carlo methods to quickly look up ideas, procedures, formulas, pictures, etc., rather than purely a monograph for researchers

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Exploring Phase Transitions Using Conventional Monte Carlo Simulations and Machine Learning Techniques
  • Author : Wenjian Hu
  • Publisher : Unknown
  • Release : 02 August 2021
GET THIS BOOK Exploring Phase Transitions Using Conventional Monte Carlo Simulations and Machine Learning Techniques

In condensed matter physics, researchers study the physical properties of condensed phases of matter, theoretically or experimentally. The fundamentally appealing topic in this research area is how to classify phases of matter and identify phase transitions between them.Different from traditional theoretical or experimental approaches, which relies on either complicated mathematical formulation or equally complex experimental equipment, Monte Carlo based stochastic methods, which are often treated as "computer experiments", introduce a relatively "cheap" but effective approach to study phases and

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  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release : 10 August 2020
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Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo

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An Introduction to Statistical Computing
  • Author : Jochen Voss
  • Publisher : John Wiley & Sons
  • Release : 28 August 2013
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A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive introduction to the exciting area of sampling-based methods. An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as

Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care
  • Author : Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
  • Publisher : Academic Press
  • Release : 01 December 2020
GET THIS BOOK Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range

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  • Author : Thomas M. Carsey,Jeffrey J. Harden
  • Publisher : SAGE Publications
  • Release : 05 August 2013
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Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The

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  • Author : Brian Vargas
  • Publisher : Unknown
  • Release : 02 August 2021
GET THIS BOOK Exploring PageRank Algorithms

A search engine is intended to crawl the world wide web and retrieve a list of sites that match the user's search terms. Listing the search results in a proper order is crucial but it is far from being a trivial task. Prior to the rise of Google, search engines were notorious for presenting irrelevant information, and in turn, were not very optimal tools. It wasn't until around 1998 that Google co-founders Lawrence Page and Sergey Brin invented the PageRank algorithm

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  • Author : Victor Sapritsky,Alexander Prokhorov
  • Publisher : Springer Nature
  • Release : 19 October 2020
GET THIS BOOK Blackbody Radiometry

This book, the first of a two-volume set, focuses on the basic physical principles of blackbody radiometry and describes artificial sources of blackbody radiation, widely used as sources of optical radiation, whose energy characteristics can be calculated on the base of fundamental physical laws. Following a review of radiometric quantities, radiation laws, and radiative heat transfer, it introduces the basic principles of blackbody radiators design, details of their practical implementation, and methods of measuring their defining characteristics, as well as

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Forensic Metrology
  • Author : Ted Vosk,Ashley F. Emery
  • Publisher : CRC Press
  • Release : 26 September 2014
GET THIS BOOK Forensic Metrology

Forensic metrology is the application of scientific measurement to the investigation and prosecution of crime. Forensic measurements are relied upon to determine breath and blood alcohol and drug concentrations, weigh seized drugs, perform accident reconstruction, and for many other applications. Forensic metrology provides a basic framework for th

Computational Approaches in Molecular Radiation Biology

Computational Approaches in Molecular Radiation Biology
  • Author : Matesh N. Varma,Aloke Chatterjee
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOK Computational Approaches in Molecular Radiation Biology

The Office of Health and Environmental Research (OHER) has supported and continues to support development of computational approaches in biology and medicine. OHER's Radiological and Chemical Physics Program initiated development of computational approaches to determine the effects produced by radiation of different quality (such as high energy electrons, protons, helium and other heavy ions, etc. ) in a variety of materials of biological interest-such as water, polymers and DNA; these include molecular excitations and sub-excitations and the production of ionization and

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  • Author : Giuseppe Ciaburro
  • Publisher : Packt Publishing Ltd
  • Release : 17 July 2020
GET THIS BOOK Hands On Simulation Modeling with Python

Enhance your simulation modeling skills by creating and analyzing digital prototypes of a physical model using Python programming with this comprehensive guide Key Features Learn to create a digital prototype of a real model using hands-on examples Evaluate the performance and output of your prototype using simulation modeling techniques Understand various statistical and physical simulations to improve systems using Python Book Description Simulation modeling helps you to create digital prototypes of physical models to analyze how they work and predict

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  • Author : Volker Ziemann
  • Publisher : Springer Nature
  • Release : 18 January 2021
GET THIS BOOK Physics and Finance

This book introduces physics students to concepts and methods of finance. Despite being perceived as quite distant from physics, finance shares a number of common methods and ideas, usually related to noise and uncertainties. Juxtaposing the key methods to applications in both physics and finance articulates both differences and common features, this gives students a deeper understanding of the underlying ideas. Moreover, they acquire a number of useful mathematical and computational tools, such as stochastic differential equations, path integrals, Monte-Carlo