TY - CHAP AU - Artur Chrobak AU - Grzegorz Ziółkowski AU - Dariusz Chrobak ED - Pooneh Saidi Bidokhti Y1 - 2019-10-17 PY - 2019 T1 - Application of Local Information Entropy in Cluster Monte Carlo Algorithms N2 - The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of risk, uncertainty, and ambiguity in forecasting models. However, this technique is complicated by the amount of computer time required to achieve sufficient precision in the simulations and evaluate their accuracy. This book discusses the general principles of the Monte Carlo method with an emphasis on techniques to decrease simulation time and increase accuracy. BT - Theory, Application, and Implementation of Monte Carlo Method in Science and Technology SP - Ch. 6 UR - https://doi.org/10.5772/intechopen.88627 DO - 10.5772/intechopen.88627 SN - 978-1-78985-546-3 PB - IntechOpen CY - Rijeka Y2 - 2024-03-28 ER -