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Mathematica code for stochastic simulations
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创建时间：
2016-01-01
相关数据集
Supplementary Mathematica file_Immler&Otto
Mathematica file containing full models and approximations referred to in the manuscript.
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Importance Sampling for Reliability Evaluation With Stochastic Simulation Models
Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estim
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Importance Sampling for Reliability Evaluation With Stochastic Simulation Models
Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estim
DataCite Commons2024-03-24 更新110
PDE Training Dataset
该数据集是一个综合性的数据集，包含了用于训练 UGrid 模型以解决各种线性偏微分方程的（M, b, f）组合对。该数据集包括16,000对专为Helmholtz和扩散问题设计的组合，其独特的系数场是随机抽取的。训练数据中的几何形状仅限于类似“甜甜圈”的形状，且所有训练数据中的f场均限制为零。此外，该数据集包含了不同规模的数据集；特别地，它在大型数据集上进行了训练。该任务的目的是训练一个用于线性偏
arXiv160
Supplementary data from A nonlinear hyperelasticity model for single layer blue phosphorus based on ab initio calculations
figure_data.txt: Raw data for all figures; FEM_input.txt: Input file for the finite element example in Sec. 6.1; sample_DFT_input.txt: Sample input file for Quantum ESPRESSO
DataCite Commons2024-02-16 更新110
