Monte Carlo Methods. (2020)
- Record Type:
- Book
- Title:
- Monte Carlo Methods. (2020)
- Main Title:
- Monte Carlo Methods
- Further Information:
- Note: By Adrian Barbu, Song-Chun Zhu.
- Authors:
- Zhu, Song Chun
- Other Names:
- Barbu, Adrian
- Contents:
- 1 Introduction to Monte Carlo Methods -- 2 Sequential Monte Carlo -- 3 Markov Chain Monte Carlo -- the Basics -- 4 Metropolis Methods and Variants -- 5 Gibbs Sampler and its Variants -- 6 Cluster Sampling Methods -- 7 Convergence Analysis of MCMC -- 8 Data Driven Markov Chain Monte Carlo -- 9 Hamiltonian and Langevin Monte Carlo -- 10 Learning with Stochastic Gradient -- 11 Mapping the Energy Landscape.
- Publisher Details:
- Singapore : Springer Singapore Imprint: Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (XVI, 422 pages), 250 illustrations, 185 illustrations in color
- Subjects:
- 518
Computer science -- Mathematics
Mathematical statistics
Optical data processing
Statistics
Electronic books - Languages:
- English
- ISBNs:
- 9789811329715
9811329710 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.493254
- Ingest File:
- 03_056.xml