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 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

Produk Detail:

  • Author : William L. Dunn
  • Publisher : Elsevier
  • Pages : 398 pages
  • ISBN : 9780080930619
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKExploring Monte Carlo Methods

Exploring Monte Carlo Methods

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

An Introduction to Quantum Monte Carlo Methods

An Introduction to Quantum Monte Carlo Methods
  • Author : Tao Pang
  • Publisher : Morgan & Claypool Publishers
  • Release : 07 December 2016
GET THIS BOOKAn Introduction to Quantum Monte Carlo Methods

Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and path-integral quantum Monte Carlo methods in many-body physics and provides a concise but complete introduction to the Metropolis algorithm and its applications in these two techniques. To explore the schemes in clarity, several quantum many-body systems are analysed and studied in detail. The book includes exercises to help digest the materials covered. It

Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport
  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release : 10 August 2020
GET THIS BOOKMonte Carlo Methods for Particle Transport

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

Monte Carlo Methods for Particle Transport

Monte Carlo Methods for Particle Transport
  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release : 10 August 2020
GET THIS BOOKMonte Carlo Methods for Particle Transport

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

Simulation and the Monte Carlo Method

Simulation and the Monte Carlo Method
  • Author : Reuven Y. Rubinstein,Dirk P. Kroese
  • Publisher : John Wiley & Sons
  • Release : 21 October 2016
GET THIS BOOKSimulation and the Monte Carlo Method

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for problem solving Simulation and the Monte Carlo Method, Third Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the state-of-the-art theory, methods and applications that have emerged in Monte Carlo simulation since the publication of the classic First Edition over more than a quarter of a century

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 BOOKIntelligent 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

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data

Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
  • Author : Ray W. Cooksey
  • Publisher : Springer Nature
  • Release : 14 May 2020
GET THIS BOOKIllustrating Statistical Procedures: Finding Meaning in Quantitative Data

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations

Forensic Metrology

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

Blackbody Radiometry

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

A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics
  • Author : David P. Landau,Kurt Binder
  • Publisher : Cambridge University Press
  • Release : 17 August 2000
GET THIS BOOKA Guide to Monte Carlo Simulations in Statistical Physics

This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena.

Physics and Finance

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

Machines, Mechanism and Robotics

Machines, Mechanism and Robotics
  • Author : Rajeev Kumar
  • Publisher : Springer Nature
  • Release : 28 October 2021
GET THIS BOOKMachines, Mechanism and Robotics

This volume includes select papers presented during the 4th International and 19th National Conference on Machines and Mechanism (iNaCoMM 2019), held in Indian Institute of Technology, Mandi. It presents research on various aspects of design and analysis of machines and mechanisms by academic and industry researchers.

Project Valuation and Decision Making under Risk and Uncertainty applying Decision Tree Analysis and Monte Carlo Simulation

Project Valuation and Decision Making under Risk and Uncertainty applying Decision Tree Analysis and Monte Carlo Simulation
  • Author : Donald Dibra
  • Publisher : BoD – Books on Demand
  • Release : 28 April 2015
GET THIS BOOKProject Valuation and Decision Making under Risk and Uncertainty applying Decision Tree Analysis and Monte Carlo Simulation

This work presents the application of the Monte Carlo Simulation method and the Decision Tree Analysis approach when dealing with the economic valuation of projects which are subjected to risks and uncertainties. The Net Present Value of a project is usually used as an investment decision parameter. Using deterministic models to calculate a project’s Net Present Value neglects the risky and uncertain nature of real life projects and consequently leads to useless valuation results. Realistic valuation models need to