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Monte Carlo Methods 2020 edition
Adrian Barbu
Monte Carlo Methods 2020 edition
Adrian Barbu
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.
80 Illustrations, color; Approx. 350 p. 80 illus. in color.
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | February 25, 2020 |
ISBN13 | 9789811329708 |
Publishers | Springer Verlag, Singapore |
Pages | 422 |
Dimensions | 174 × 247 × 28 mm · 940 g |