The Monte Carlo Method
Download and Read The Monte Carlo Method full books in PDF, ePUB, and Kindle. Read online free The Monte Carlo Method ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Monte Carlo Methods
Author | : Adrian Barbu |
Publisher | : Springer Nature |
Total Pages | : 433 |
Release | : 2020-02-24 |
Genre | : Mathematics |
ISBN | : 9811329710 |
Download Monte Carlo Methods Book in PDF, Epub and Kindle
This book seeks to bridge the gap between statistics and computer science. 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. Due to its comprehensive nature, the book is suitable for developing and teaching graduate courses on Monte Carlo methods. To facilitate learning, each chapter includes several representative application examples from various fields. The book pursues two main goals: (1) It introduces researchers to applying Monte Carlo methods to broader problems in areas such as Computer Vision, Computer Graphics, Machine Learning, Robotics, Artificial Intelligence, etc.; and (2) it makes it easier for scientists and engineers working in these areas to employ Monte Carlo methods to enhance their research.