Results 61 to 70 of about 12,230 (257)

Error in Monte Carlo, quasi-error in Quasi-Monte Carlo [PDF]

Computer Physics Communications, 2006
While the Quasi-Monte Carlo method of numerical integration achieves smaller integration error than standard Monte Carlo, its use in particle physics phenomenology has been hindered by the abscence of a reliable way to estimate that error. The standard Monte Carlo error estimator relies on the assumption that the points are generated independently of ...
Kleiss, R.H.P., Lazopoulos, A.
openaire   +4 more sources

A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

Advanced Science, EarlyView.
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren, Hong Wang, Chak Wang Tse, Yi Zheng, Xi Chen, Wenqi Hu   +5 more
wiley   +1 more source

ESTIMAÇÃO DO PRÊMIO DE OPÇÕES ASIÁTICAS POR MONTE CARLO E QUASI-MONTE CARLO

Faces: Revista de Administração, 2012
O trabalho se situa no campo de estudo de métodos numéricos, em fi nanças, e tem por objetivo comparar a utilização dos modelos estocásticos de Monte Carlo e Quasi-Monte Carlo com Sequências de Halton, para o apreçamento de opções asiáticas, em uma série
Rafael Igrejas da Silva, Marcio Almeida de Assis, Antonio Carlos Figueiredo Pinto, Marcelo Cabus Klotzle, Leonardo Lima Gomes   +4 more
doaj  

Probabilistic evaluation of dynamic positioning operability with a Quasi-Monte Carlo approach

Brodogradnja
During the design phase of an offshore unit, estimating the station-keeping capabilities of the dynamic positioning (DP) system is mandatory. This means, in conventional offshore applications, to determine the maximum sustainable wind speed as a function
Francesco Mauro, Radoslav Nabergoj
doaj   +1 more source

Sparse Pd–Te Covalent Bridges Drive Anomalous Bulk‐to‐Monolayer Electronic and Magnetic Evolution in FePd2Te2

Advanced Science, EarlyView.
Bulk FePd2Te2 contains sparse interlayer Pd–Te covalent bonds, giving it unexpectedly low exfoliation energy and enabling van der Waals‐like exfoliation. Cleaving these bonds during exfoliation makes the monolayer magnetically distinct from the bulk: magnetic anisotropy energy increases, and the strain‐response coefficient of the magnetic moment ...
Huaiyuan Zhao, Jianwen Fang, Mohan Luo, Yinuo Ye, Yulin Wang, Jianhui Yang, Hongwen Zhang, Peng Cheng   +7 more
wiley   +1 more source

Méthodes quasi-Monte-Carlo multidimensionnelles

Theoretical Computer Science, 1994
AbstractNous présentons les principales suites quasi aléatoires dans un nouveau cadre qui permet d'intégrer naturellement les nouvelles suites ‘télescopiques’ que nous proposons au paragraphe 6. Le problème est maintenant d'obtenir des informations sur les irrégularités de distribution de telles suites; à défaut, une étude empirique comparative ...
openaire   +1 more source

Quasi-Monte Carlo simulation of coagulation–fragmentation

Mathematics and Computers in Simulation, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Lécot, Pierre L'Ecuyer, Rami El Haddad, Ali Tarhini   +3 more
openaire   +4 more sources

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Transport Quasi-Monte Carlo

CoRR
Quasi-Monte Carlo (QMC) is a powerful method for evaluating high-dimensional integrals. However, its use is typically limited to distributions where direct sampling is straightforward, such as the uniform distribution on the unit hypercube or the Gaussian distribution. For general target distributions with potentially unnormalized densities, leveraging
openaire   +2 more sources

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source