Results 51 to 60 of about 857,070 (293)

Quantum Gibbs ensemble Monte Carlo

, 2014
We present a path integral Monte Carlo method which is the full quantum analogue of the Gibbs ensemble Monte Carlo method of Panagiotopoulos to study the gas-liquid coexistence line of a classical fluid. Unlike previous extensions of Gibbs ensemble Monte
Fantoni, Riccardo, Moroni, Saverio
core   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

Schedules of lectures and Monte Carlo method

Lietuvos Matematikos Rinkinys, 2011
In this paper the problem of the construction of schedule of lectures is considered. The Markov chain Monte Carlo method is used. A particular program based on simulated annealing algorithm was created.
Nikolaj Grigorjev, Gediminas Stepanauskas   +1 more
doaj   +1 more source

New variational Monte Carlo method with an energy variance extrapolation for large-scale shell-model calculations

, 2012
We propose a new variational Monte Carlo (VMC) method with an energy variance extrapolation for large-scale shell-model calculations. This variational Monte Carlo is a stochastic optimization method with a projected correlated condensed pair state as a ...
Mizusaki, Takahiro, Shimizu, Noritaka
core   +1 more source

Biased Monte Carlo Methods

AIP Conference Proceedings, 2003
Polymer simulations make extensive use of biased Monte Carlo schemes. In this paper, I describe a subset of polymer‐simulation algorithms that aim to increase the sampling efficiency by biasing the selection of trial moves. Algorithms that belong to this category are the Configurational Bias MC method (CBMC), Dynamical Pruned Enriched Rosenbluth ...
openaire   +3 more sources

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Monte Carlo method and group algebras

Miskolc Mathematical Notes
Let FGpGFp⊛FGV⊛(FG)⊛FGV⊛(FG)p⊛G∗FG ...
Zsolt Balogh
doaj   +1 more source

An Efficient Anti-Optimization Approach for Uncertainty Analysis in Composite Laminates

Materials Research, 2021
This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure.
Pedro Bührer Santana, Ewerton Grotti, Herbert Martins Gomes   +2 more
doaj   +1 more source

Monte Carlo methods in PageRank computation: When one iteration is sufficient [PDF]

, 2005
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of visiting a Web page by a random surfer and thus it reflects the popularity of a Web page.
Avrachenkov, K., Litvak, N., Nemirovsky, D., Osipova, N.   +3 more
core   +1 more source

Flat histogram diagrammatic Monte Carlo method

, 2013
The diagrammatic Monte Carlo (Diag-MC) method is a numerical technique which samples the entire diagrammatic series of the Green's function in quantum many-body systems.
Diamantis, Nikolaos G., Manousakis, Efstratios   +1 more
core   +1 more source