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在“
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”中,
命中:
36,187
条,耗时:0.059946 秒
在所有数据库中总计命中:
54,460
条
1.
Combining Total
Monte
Carlo
and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances
作者:
P. Helgesson
a
;
b
;
petter.helgesson@physics.uu.se
;
H. Sjö
;
strand
a
;
A.J. Koning
a
;
b
;
J. Rydé
;
n
c
;
D. Rochman
d
;
E. Alhassan
a
;
S. Pomp
a
关键词:
Nuclear data
;
Uncertainty propagation
;
Total
Monte
Carlo
;
Experimental correlations
;
Unified
Monte
Carlo
刊名:Progress in Nuclear Energy
出版年:2017
2.
An importance sampling technique in
Monte
Carlo
methods for SDEs with a.s. stable and mean-square unstable equilibrium
作者:
M. Ableidinger
a
;
Markus.Ableidinger@jku.at
;
E. Buckwar
a
;
b
;
Evelyn.Buckwar@jku.at
;
A. Thalhammer
b
;
Andreas.Thalhammer@jku.at
关键词:
Monte
Carlo
estimators
;
Systems of linear SDEs
;
Asymptotic almost sure stability
;
Asymptotic mean-square stability
;
Variance reduction
;
Rare event simulation
刊名:Journal of Computational and Applied Mathematics
出版年:2017
3.
Monte
Carlo
simulation for kinetic chemotaxis model: An application to the traveling population wave
作者:
Shugo Yasuda
1
;
yasuda@sim.u-hyogo.ac.jp
关键词:
Chemotaxis
;
Bacteria
;
Kinetic theory
;
Monte
Carlo
simulation
刊名:Journal of Computational Physics
出版年:2017
4.
Implementation of the n-body
Monte
-
Carlo
event generator into the Geant4 toolkit for photonuclear studies
作者:
Wen Luo
a
;
wenluo-ok@163.com
;
Hao-yang Lan
a
;
Yi Xu
b
;
Dimiter L. Balabanski
b
关键词:
Photonuclear reactions
;
Particle sources and targets
;
Monte
Carlo
simulations
;
Medical radioisotopes
刊名:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
出版年:2017
5.
Pathway analysis based on
Monte
Carlo
Cross-Validation in polyarticular juvenile idiopathic arthritis
作者:
Shunhua Lin
a
;
Yuanji Wang
a
;
Shunmei Mu
b
;
Junxi Zhang
a
;
Fangchang Yuan
a
;
Kang Sun
c
;
sunkangmed@yeah.net
关键词:
Polyarticular juvenile idiopathic arthritis
;
Differential expressed gene
;
Pathway pair
;
Random forest classification
;
Monte
Carlo
Cross-Validation
刊名:Pathology - Research and Practice
出版年:2017
6.
Computing the variance of a conditional expectation via non-nested
Monte
Carlo
作者:
Takashi Goda
goda@frcer.t.u-tokyo.ac.jp
关键词:
Variance of a conditional expectation
;
Monte
Carlo
estimation
;
Pick-freeze scheme
;
Bias correction
刊名:Operations Research Letters
出版年:2017
7.
Commissioning
Monte
Carlo
algorithm for robotic radiosurgery using cylindrical 3D-array with variable density inserts
作者:
D. Dechambre
;
ddechambre@chu.ulg.ac.be
;
V. Baart
;
S. Cucchiaro
;
C. Ernst
;
N. Jansen
;
P. Berkovic
;
C. Mievis
;
P. Coucke
;
A. Gulyban
关键词:
CyberKnife
;
SBRT
;
Monte
-
Carlo
commissioning
;
Pretreatment verification
刊名:Physica Medica
出版年:2017
8.
A new
Monte
Carlo
method for neutron noise calculations in the frequency domain
作者:
Amé
;
lie Rouchon
amelie.rouchon@cea.fr
;
Andrea Zoia
;
andrea.zoia@cea.fr
;
Richard Sanchez
richard.sanchez@cea.fr
关键词:
Neutron noise
;
Monte
Carlo
;
Frequency domain
;
Complex statistical weights
刊名:Annals of Nuclear Energy
出版年:2017
9.
Analysis of measurement uncertainty for contact-less method used to measure the position of catenary contact wire, performed with the use of
Monte
Carlo
method
作者:
Jacek Skibicki
jacek.skibicki@pg.gda.pl
;
Mikołaj Bartłomiejczyk
;
mikolaj.bartlomiejczyk@pg.gda.pl
关键词:
Monte
Carlo
method
;
Diagnostic
;
Electrical traction
;
High speed railways
;
Measurement uncertainty
刊名:Measurement
出版年:2017
10.
Monte
Carlo
simulations of polycrystalline ferroelectrics: Effects of electric field and grain size on dynamic electric polarization
作者:
J.B. Allen
Jeffrey.B.Allen@usace.army.mil
关键词:
Ferroelectrics
;
Monte
Carlo
;
Simulation
刊名:Computational Materials Science
出版年:2017
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