方差减少
绘图
Fortran语言
蒙特卡罗方法
计算机科学
可视化
计算科学
编码(集合论)
中子
差异(会计)
统计物理学
物理
计算机图形学(图像)
核物理学
数学
程序设计语言
统计
人工智能
集合(抽象数据类型)
会计
业务
作者
J.S. Hendricks,K.J. Adams,T.E. Booth,J.F. Briesmeister,L.L. Carter,L. J. Cox,Jeffrey A. Favorite,R Scott Forster,G.W. McKinney,R.E. Prael
标识
DOI:10.1016/s0969-8043(00)00231-1
摘要
Several new capabilities have been added to MCNP4C including: (1) macrobody surfaces; (2) the superimposed mesh importance functions, so that it is no longer necessary to subdivide geometries for variance reduction; and (3) Xlib graphics and DVF Fortran 90 for PCs. There are also improvements in neutron physics, electron physics, perturbations, and parallelization. In the more distant future we are working on adaptive Monte Carlo code modernization, more parallelization, visualization, and charged particles.
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