Paul Fearnhead, Christopher Nemeth, Chris J. Oates, Chris Sherlock
Sērija : Institute of Mathematical Statistics Monographs
(Izdošanas datums: 05-Jun-2025, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781009288446)
An intuitive introduction to advanced topics in Markov chain Monte Carlo (MCMC), presenting cutting-edge developments that address the crucial issue of scalability. It could form the basis for a graduate-level course and will be a valuable resource f...Lasīt vairāk
(Izdošanas datums: 14-Nov-2024, Hardback, Izdevniecība: Cambridge University Press, ISBN-13: 9781316511152)
This book presents the mathematical foundations of seismic wave scattering in random media for Monte Carlo simulations, which are useful for understanding random inhomogeneity spectra and the scattering characteristics of the solid Earth. This is a...Lasīt vairāk
Thoroughly updated throughout, this second edition of Monte Carlo Techniques in Radiation Therapy: Applications to Dosimetry, Imaging, and Preclinical Radiotherapy, edited by Joao Seco and Frank Verhaegen,...Lasīt vairāk
About ten years after the first edition comes this second edition of Monte Carlo Techniques in Radiation Therapy: Introduction, Source Modelling, and Patient Dose Calculations, thoroughly updated and extended with the latest t...Lasīt vairāk
Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other field...Lasīt vairāk
This book presents the refereed proceedings of the 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held in Linz, Austria, and organized by the Johannes Kepler University Linz and the Au...Lasīt vairāk
Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex sy...Lasīt vairāk
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 optim...Lasīt vairāk
Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. This book provides a comprehensive overview of these methods, discussing their fundamen...Lasīt vairāk
Maximilian Klein analyses nested Monte Carlo simulations for the approximation of conditional expected values. Thereby, the book deals with two general risk functional classes for conditional expected values, on the one hand the class of moment-based...Lasīt vairāk
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,...Lasīt vairāk
This book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them. Each book chapter is dedicated...Lasīt vairāk
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complic...Lasīt vairāk
The Monte Carlo method is one of the top 10 algorithms in the 20th century. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design...Lasīt vairāk
This book describes the computational methods most frequently used to deal with the interaction of charged particles, notably electrons, with condensed matter. Both elastic and inelastic scattering phenomena are discussed, and methods for calculat...Lasīt vairāk
This book ?offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Mon...Lasīt vairāk
This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent refe...Lasīt vairāk
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,...Lasīt vairāk
Markov Chain Monte Carlo (MCMC) methods are considered one of the most influential algorithms for scientific practice in the 21st century. MCMC methods have facilitated the growth in the adoption of principled Bayesian Inference across numerous disci...Lasīt vairāk
Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Ca...Lasīt vairāk
This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCMC is a powerful technique that can be used to integrate complicated functions or to handle complicated p...Lasīt vairāk
Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields...Lasīt vairāk
The Monte Carlo method is one of the top 10 algorithms in the 20th century. This book is focusing on the Monte Carlo method for solving deterministic partial differential equations (PDEs), especially its application to electronic design...Lasīt vairāk
Exploring Monte Carlo Methods, Second Edition provides a valuable introduction to the numerical methods that have come to be known as Monte Carlo. This unique and trusted resource for course use, as well as researcher reference, offers acces...Lasīt vairāk
This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent refe...Lasīt vairāk
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....Lasīt vairāk
The fourth edition of the book illustrates a large number of statistical methods with an emphasis on biological applications. It provides comprehensive coverage of computer-intensive applications, with datasets available online....Lasīt vairāk
