Results 21 to 30 of about 128,537,122 (247)

Modeling of lactose enzymatic hydrolysis using Monte Carlo method

Electronic Journal of Biotechnology, 2019
Background: Mathematical modeling is useful in the analysis, prediction, and optimization of an enzymatic process. Unlike the conventional modeling methods, Monte Carlo method has special advantages in providing representations of the molecule’s spatial ...
Ling Gao, Qingqing Guo, Huibin Lin, Deng Pan, Xiaodong Huang, Jianqun Lin, Jianqiang Lin   +6 more
doaj   +1 more source

Examining the Value of Monte Carlo Simulation for Project Time Management

Management, 2019
Research Question: This paper investigates whether the Monte Carlo simulation can be widely used as a practicable method for the analysis of the risks that impact project duration.
Goran Avlijas
doaj   +1 more source

A Machine Learning Based Hybrid Multi-Fidelity Multi-Level Monte Carlo Method for Uncertainty Quantification

Frontiers in Environmental Science, 2019
This paper focuses on reducing the computational cost of the Monte Carlo method for uncertainty propagation. Recently, Multi-Fidelity Monte Carlo (MFMC) method (Ng, 2013; Peherstorfer et al., 2016) and Multi-Level Monte Carlo (MLMC) method (Müller et al.,
Nagoor Kani Jabarullah Khan, Ahmed H. Elsheikh   +1 more
doaj   +1 more source

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]

, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel, Samuel Livingstone, Girolami, M, Mark Girolami, Girolami, Mark, Livingstone, S   +5 more
core   +1 more source

SMCTC : sequential Monte Carlo in C++ [PDF]

, 2009
Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Johansen, Adam M., Adam M. Johansen
core   +1 more source

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing

Statistical Theory and Related Fields, 2017
Monte Carlo and quasi-Monte Carlo methods are widely used in scientific studies. As quasi-Monte Carlo simulations have advantage over ordinary Monte Carlo methods, this paper proposes a new quasi-Monte Carlo method to simulate Brownian sheet via its ...
Xinyu Song, Yazhen Wang
doaj   +1 more source

Uma abordagem simplificada do método Monte Carlo Quântico: da solução de integrais ao problema da distribuição eletrônica A simplified approach to the Quantum Monte Carlo method: from the solution of integrals to the electronic distribution problem

Química Nova, 2008
The paper presents an introductory and general discussion on the quantum Monte Carlo methods, some fundamental algorithms, concepts and applicability. In order to introduce the quantum Monte Carlo method, preliminary concepts associated with Monte Carlo ...
Wagner Fernando Delfino Angelotti, André Luiz da Fonseca, Guilherme Barreto Torres, Rogério Custodio   +3 more
doaj   +1 more source

Comparation of nonuniform and uniform Monte - Carlo Searching

MATEC Web of Conferences, 2018
Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo ...
Handrik Marián, Handriková Jana, Vaško Milan, Dorčiak Filip   +3 more
doaj   +1 more source

A new approach to determine batch size for the batch method in the Monte Carlo Eigenvalue calculation

Nuclear Engineering and Technology, 2019
It is well known that the variance of tally is biased in a Monte Carlo calculation based on the power iteration method. Several studies have been conducted to estimate the real variance.
Jae Yong Lee, Do Hyun Kim, Che Wook Yim, Jae Chang Kim, Jong Kyung Kim   +4 more
doaj   +1 more source

Geodesic Monte Carlo on Embedded Manifolds [PDF]

, 2013
Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing geodesic flows
Simon Byrne, Byrne, Simon, Byrne, S, Girolami, M, Mark Girolami, Girolami, Mark   +5 more
core   +1 more source