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Monte Carlo Methods by Barbu Adrian (17 results)
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Monte Carlo Methods
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Monte Carlo Methods
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Monte Carlo Methods
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Monte Carlo Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hardcover. Condition: Brand New. 421 pages. 9.75x6.75x1.00 inches. In Stock.
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£ 107.27
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Add to basketCondition: New. A Monte Carlo textbook suitable for students and researchers in the areas of computer vision, machine learning, robotics, artificial intelligence, graphics, etcAn easy to understand textbook featuring a wealth of sample applications.
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Monte Carlo Methods
Published by Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811329702 ISBN 13: 9789811329708
Language: English
Hardback. Condition: New. 2020 ed. 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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Hardcover. Condition: Brand New. 421 pages. 9.75x6.75x1.00 inches. In Stock.
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Hardcover. Condition: New. New. book.
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Monte Carlo Methods
Published by Springer Verlag, Singapore, SG, 2020
ISBN 10: 9811329702 ISBN 13: 9789811329708
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. 2020 ed. 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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Condition: New. This item is printed on demand.
