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portada Monte Carlo Methods
Type
Physical Book
Author
Publisher
Language
English
Pages
422
Format
Hardcover
Dimensions
24.3 x 17.2 x 2.7 cm
Weight
1.09 kg.
ISBN13
9789811329708
Categories

Monte Carlo Methods

Song-Chun Zhu (Author) · Adrian Barbu (Author) · Springer · Hardcover

Monte Carlo Methods - Barbu, Adrian ; Zhu, Song-Chun

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Synopsis "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 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.

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The binding of this edition is Hardcover.

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