Monte Carlo Methods

This book PDF is perfect for those who love Mathematics genre, written by Adrian Barbu and published by Springer Nature which was released on 24 February 2020 with total hardcover pages 422. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Monte Carlo Methods books below.

Monte Carlo Methods
Author : Adrian Barbu
File Size : 41,7 Mb
Publisher : Springer Nature
Language : English
Release Date : 24 February 2020
ISBN : 9789811329715
Pages : 422 pages
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Monte Carlo Methods by Adrian Barbu 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.

Monte Carlo Methods

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

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Hamiltonian Monte Carlo Methods in Machine Learning

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The theory of data assimilation and machine learning is introduced in an accessible manner for undergraduate and graduate students.

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