位置：成果数据库 > 期刊 > 期刊详情页
Highly accurate tau-leaping methods with random corrections
  • ISSN号：0021-9606
  • 期刊名称：Journal of Chemical Physics
  • 时间：0
  • 页码：124109-1-124109-20
  • 语言：英文
  • 相关项目：复杂网络的模型约化
作者： Hu, Yucheng|Li, Tiejun|
同期刊论文项目
复杂网络的模型约化
期刊论文 12
同项目期刊论文
Detecting the fuzzy clusters of complex networks
CHEBYSHEV METHODS WITH DISCRETE NOISE: THE tau-ROCK METHODS
Localized bases of eigensubspaces and operator compression
Coarse-grained diffusion distance for commu- nity structure detection in complex networks
The weak convergence analysis of tau-leaping methods: revisited
Efficient simulation in a population genetics model of cancer development
A validity index approach to network partitions
A weak second order tau-leaping scheme for simulating chemical reaction systems
Statistical method for resolving the photon-photoelectron counting inversion problem
Probabilistic framework for network partition
CHEBYSHEV METHODS WITH DISCRETE NOISE： THE τ-ROCK METHODS