COMPUTATION OF ATOMIC MANY-ELECTRON INTEGRALS USING A MARKOV-CHAIN GENERATED MONTE-CARLO METHOD

被引：3
|
作者：
GIBBS, RL [1 ]
DUNN, T [1 ]
机构：
[1] LOUISIANA TECH UNIV,DEPT PHYS,RUSTON,LA 71270
来源：
JOURNAL OF CHEMICAL PHYSICS | 1975年 / 62卷 / 09期
关键词：
D O I：
10.1063/1.430980
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
引用
收藏
页码：3454 / 3457
页数：4
相关论文
共 50 条
  • [31] MARKOV-CHAIN MONTE-CARLO ESTIMATION OF AUTOREGRESSIVE MODELS WITH APPLICATION TO METAL POLLUTANT CONCENTRATION IN SLUDGE
    BARNETT, G
    KOHN, R
    SHEATHER, S
    WONG, J
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 1995, 22 (10-12) : 7 - 13
  • [32] Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo
    Basaru, Rilwan Remilekun
    Child, Chris
    Alonso, Eduardo
    Slabaugh, Greg
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017, : 595 - 603
  • [33] Bayesian analysis of ROC curves using Markov-chain Monte Carlo methods
    Peng, FC
    Hall, WJ
    [J]. MEDICAL DECISION MAKING, 1996, 16 (04) : 404 - 411
  • [34] Introduction to Subsurface Inversion Using Reversible Jump Markov-chain Monte Carlo
    Jun, Hyunggu
    Cho, Yongchae
    [J]. GEOPHYSICS AND GEOPHYSICAL EXPLORATION, 2022, 25 (04): : 252 - 265
  • [35] COSMIC CONSTRAINTS ON HOLOGRAPHIC DARK ENERGY IN BRANS-DICKE THEORY VIA MARKOV-CHAIN MONTE-CARLO METHOD
    Xu, Lixin
    Liu, Zhaofei
    Lu, Jianbo
    Li, Wenbo
    [J]. MODERN PHYSICS LETTERS A, 2010, 25 (17) : 1441 - 1454
  • [36] SOME WAYS OF LESSENING THE DISPERSION WHEN ESTIMATING FUNCTIONALS FROM THE STATIONARY DISTRIBUTION OF THE MARKOV-CHAIN BY THE MONTE-CARLO METHOD
    KASHTANOV, YN
    [J]. VESTNIK LENINGRADSKOGO UNIVERSITETA SERIYA MATEMATIKA MEKHANIKA ASTRONOMIYA, 1981, (02): : 42 - 49
  • [37] Intermediately correlated many-electron systems studied by quantum Monte Carlo method
    Yamazaki, M
    Tomita, N
    Nasu, K
    [J]. JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2003, 72 (03) : 611 - 617
  • [38] Aggregated Net-load Forecasting using Markov-Chain Monte-Carlo Regression and C-vine copula
    Sreekumar, S.
    Khan, N. U.
    Rana, A. S.
    Sajjadi, M.
    Kothari, D. P.
    [J]. APPLIED ENERGY, 2022, 328
  • [39] BAYESIAN-ANALYSIS OF RING-RECOVERY DATA VIA MARKOV-CHAIN MONTE-CARLO SIMULATION
    VOUNATSOU, P
    SMITH, AFM
    [J]. BIOMETRICS, 1995, 51 (02) : 687 - 708
  • [40] Estimating identity by descent using Monte-Carlo Markov chain methods
    Shete, S
    Daw, EW
    Ma, JZ
    Lu, Y
    Amos, CI
    [J]. GENETIC EPIDEMIOLOGY, 2005, 29 (03) : 277 - 278
12345