Theory and Applications of Monte Carlo Simulations
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AlbakiReads Editorial Monte Carlo methods across scientific and engineering problems
Monte Carlo methods across scientific and engineering problems
Edited by Wai Kin (Victor) Chan, this 11-chapter volume frames Monte Carlo simulation as a cross-disciplinary toolkit built on random sampling. It pairs methodological concerns—goodness-of-fit, uncertainty assessment, variance reduction, optimization, and statistical estimation—with domain-specific examples. The applications range from financial-system modeling and molecular transition behavior to chemical reactions, particle diffusion, biophysics, biological data, and healthcare practice. By including background material alongside specialized uses in many chapters, the collection maps how a shared computational approach is adapted to distinct complex systems. It is organized less as a single continuous course than as a research-oriented survey of techniques and applications across fields.
Good fit for readers who enjoy
- Researchers seeking cross-disciplinary examples of Monte Carlo simulation
- Practitioners working with uncertainty, estimation, or optimization in complex systems
- Scientists and engineers interested in applications from finance to molecular and biological modeling
Themes
Monte Carlo simulationRandom samplingUncertainty evaluationStatistical estimationScientific and engineering applications
Based on publisher information and book metadata.
Book Overview The purpose of this book is to introduce researchers and practitioners to recent advances and applications of Monte Carlo Simulation (MCS...
The purpose of this book is to introduce researchers and practitioners to recent advances and applications of Monte Carlo Simulation (MCS). Random sampling is the key of the MCS technique. The 11 chapters of this book collectively illustrates how such a sampling technique is exploited to solve difficult problems or analyze complex systems in various engineering and science domains. Issues related to the use of MCS including goodness-of-fit, uncertainty evaluation, variance reduction, optimization, and statistical estimation are discussed and examples of solutions are given. Novel applications of MCS are demonstrated in financial systems modeling, estimation of transition behavior of organic molecules, chemical reaction, particle diffusion, kinetic simulation of biophysics and biological data, and healthcare practices. To enlarge the accessibility of this book, both field-specific background materials and field-specific usages of MCS are introduced in most chapters. The aim of this book is to unify knowledge of MCS from different fields to facilitate research and new applications of MCS.
Book Details Format: Hardcover | Pages: 286 | Language: English | Publisher: INTECHOPEN | ISBN: 9535110128
FormatHardcover
Pages286
LanguageEnglish
ISBN9535110128
EAN9789535110125
PublisherINTECHOPEN
Publication Date2013-03-06
AccessoriesNo Accessory
ConditionNew
Product TypeHARD COVER BOOKS
Weight1.45 Pounds
Length9.61 Inches
Width6.69 Inches
Height0.69 Inches
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