Monte Carlo Methods For Applied Scientists
Regular price
€132.99
14 days return policy
Shipping & Delivery
A01=Ivan Tomov Dimov
Author_Ivan Tomov Dimov
Boundary-Value Problems
Branching Stochastic Process
Category=PBT
Category=PBW
Category=UYA
Eigenvalue Problem
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Linear Algebra Problems
Markov Chains
Monte Carlo Method
Multidimensional Integrals
Parallel Algorithms
Semiconductor Device Modeling
Stochastic Matrices
Variance Reduction Techniques
Product details
- ISBN 9789810223298
- Publication Date: 27 Dec 2007
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer.This book attempts to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical knowledge is assumed and theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied industrial problems.A selection of algorithms developed both for serial and parallel machines are provided.
