Results 101 to 110 of about 512,942 (311)
Improved Sequential Stopping Rule for Monte Carlo Simulation
, 2008 This letter presents an improved result on the negative-binomial Monte Carlo technique analyzed in a previous paper (L. Mendo and J. M. Hernando, ``A simple sequential stopping rule for Monte Carlo simulation,'' IEEE Trans. Commun., vol. 54, no.
Hernando Rábanos, José María +1 more
core +1 more source
, 2010 10 pages, to appear in the proceedings of Physics at the LHC 2010, DESY, Hamburg, 7-12 June ...
openaire +5 more sources
Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride
Advanced Science, EarlyView.This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee +10 more
wiley +1 more source
Simulação do equilíbrio: o método de Monte Carlo Equilibrium simulation: Monte Carlo method
Química Nova, 2007 We make several simulations using the Monte Carlo method in order to obtain the chemical equilibrium for several first-order reactions and one second-order reaction. We study several direct, reverse and consecutive reactions.
Alejandro López-Castillo +1 more
doaj +1 more source
Smart Monte Carlo: Various tricks using Malliavin calculus [PDF]
Current Monte Carlo pricing engines may face computational challenge for the Greeks, because of not only their time consumption but also their poor convergence when using a finite difference estimate with a brute force perturbation.
Eric Benhamou
core
On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
Advanced Science, EarlyView.An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley +1 more source
Simple approach to include external resistances in the Monte Carlo simulation of MESFETs and HEMTs [PDF]
, 1996 The contact and external series resistances play an important role in the performance of modern 0.1-0.2 μm HEMT's. It is not possible to include these resistances directly into the Monte Carlo simulations.
Cameron, N. +3 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Genetics Selection Evolution, 2019 Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj +1 more source
Zero variance in Markov chain Monte Carlo with an application to credit risk estimation [PDF]
We propose a general purpose variance reduction technique for Markov Chain Monte Carlo estimators based on the Zero-Variance principle introduced in the physics lit- erature by Assaraf and Caarel ( 1999). The potential of the new idea is illustrated with
Tenconi Paolo
core