Monte Carlo Methods is popular PDF and ePub book, written by Adrian Barbu in 2020-02-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Monte Carlo Methods can be Read Online from any device for your convenience.
Monte Carlo Methods Book PDF Summary
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.
Detail Book of Monte Carlo Methods PDF
- Author : Adrian Barbu
- Release : 24 February 2020
- Publisher : Springer Nature
- ISBN : 9789811329715
- Genre : Mathematics
- Total Page : 433 pages
- Language : English
- PDF File Size : 19,6 Mb
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