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Monte Carlo Methods
Engelsk Hardback
Monte Carlo Methods
Engelsk Hardback

1.002 kr
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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
422
ISBN-13:
9789811329708
Indbinding:
Hardback
Udgave:
ISBN-10:
9811329702
Kategori:
Udg. Dato:
25 feb 2020
Længde:
28mm
Bredde:
174mm
Højde:
247mm
Forlag:
Springer Verlag, Singapore
Oplagsdato:
25 feb 2020
Forfatter(e):
Kategori sammenhænge