| CRC Press

0원  | 20250523  | 9781498747882

This text covers all essential topics to use Monte Carlo software accurately and effectively in regards to applied x-ray science including calculations for applications such as dose distributions, detector setups, source design, shielding, materials inspection, imaging and radiation therapy, etc. Includes 2D and 3D geometrics and discusses electric and magnetic field calculations and their integration in Monte Carlo codes and coupled thermal calculations. Providing an active hands-on experience, this book provides an education 2D Monte Carlo package that covers all aspects of X-Ray and energetic electron modeling and a workbook of exercises and projects.

 | Springer Verlag, Singapore

233,080원  | 20191011  | 9789811329708

It provides an overview of Monte Carlo methods, including Sequential Monte Carlo, Markov Chain Monte Carlo, Metropolis-Hastings, Gibbs Sampler, Cluster Sampling, Data Driven MCMC, Stochastic Gradient descent, Langevin Monte Carlo, Hamiltonian Monte Carlo, and energy landscape mapping.

Kalos, Malvin H./ Whitlock, Paula A.  | Wiley-VCH Verlag GmbH

303,400원  | 20090224  | 9783527407606

This introduction to Monte Carlo methods seeks to identify and study the unifying elements that underlie their effective application. Initial chapters provide a short treatment of the probability and statistics needed as background, enabling those without experience in Monte Carlo techniques to apply these ideas to their research.

UNGERER, Philippe; TAVITIAN, Bernard; BO  | Atlasbooks Dist Serv

189,620원  | 20050701  | 9782710808589

Dunn, William L./ Shultis, J. Kenneth  | Elsevier Science Ltd

182,200원  | 20111206  | 9780444515759

A text that describes the numerical methods that have come to be known as 'Monte Carlo.' It provides the basic detail necessary to learn how to apply Monte Carlo methods. It is suitable for undergraduate or graduate courses in numerical methods.

 | Springer Nature B.V.

73,980원  | 20230225  | 9783031232954

This book provides practical demonstrations of how to carry out definite integrals with Monte Carlo methods using Mathematica.? Random variates are sampled by the inverse transform method and the acceptance-rejection method using uniform, linear, Gaussian, and exponential probability distribution functions.? A chapter on the application of the Variational Quantum Monte Carlo method to a simple harmonic oscillator is included.

Madras, Neal Noah  | Amer Mathematical Society

62,190원  | 20011201  | 9780821829783

Monte Carlo methods form an experimental branch of mathematics that employs simulations driven by random number generators. This book examines the theoretical properties of Monte Carlo methods as well as practical issues concerning their computer implementation and statistical analysis.

Kroese, Dirk P.  | John Wiley & Sons Inc

215,470원  | 20110318  | 9780470177938

A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today s numerical problems found in engineering and finance are solved through Monte Carlo methods.

Shonkwiler, Ronald W./ Mendivil, Franklin  | Springer

110,900원  | 20091117  | 9780387878362

Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems. Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject.

 | Hutson Street Press

33,200원  | 20250522  | 9781025121307

In the Smoothed Accept/Reject (SAR) algorithm, the accept/reject criteria is altered from Direct Simulation Monte Carlo (DSMC): rather than a binary function of rejection or acceptance, collisions can be partially accepted with a linear weighting between zero and one. The partial acceptance is based on a band around the original accept/reject criteria defined as a percentage of the collision criteria, which is called ??. A relationship previously noted between Mach and ?? is explored.

 | Hutson Street Press

57,250원  | 20250522  | 9781025118567

In the Smoothed Accept/Reject (SAR) algorithm, the accept/reject criteria is altered from Direct Simulation Monte Carlo (DSMC): rather than a binary function of rejection or acceptance, collisions can be partially accepted with a linear weighting between zero and one. The partial acceptance is based on a band around the original accept/reject criteria defined as a percentage of the collision criteria, which is called ??. A relationship previously noted between Mach and ?? is explored.

Robert, Christian  | Springer

147,980원  | 20100315  | 9781441915757

Introducing Monte Carlo Methods with R covers the main tools used in statistical simulation from a programmer's point of view, explaining the R implementation of each simulation technique and providing the output for better understanding and comparison.

Vassiliev, Oleg N.  | Springer

49,990원  | 20180422  | 9783319829937

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.

 | LAP Lambert Academic Publishing

0원  | 20231208  | 9786207450459

The Monte Carlo methods are widely used in many fields of modern science and technology. As an effective tool for multivariate statistical analysis, the statistical depth function has been used to extend the order statistics in multivariate statistical analysis. It has high robustness and has attracted more and more people's attention. This book mainly studies the approximate computation of statistical depth function based on Monte Carlo methods and its extension in regression analysis.

 | World Scientific Publishing Company

222,000원  | 19940301  | 9789810203214

This book presents the basic theory and application of the Monte Carlo method to the electronic structure of atoms and molecules. It assumes no previous knowledge of the subject, only a knowledge of molecular quantum mechanics at the first-year graduate level. A working knowledge of traditional?ab initio?quantum chemistry is helpful, but not essential.Some distinguishing features of this book are:Clear exposition of the basic theory at a level to facilitate independent study.