GaussianRandomFields.jl:Julia（Julia）中用于高斯随机场生成的软件包
高斯随机域
文献资料
建置状态
覆盖范围
GaussianRandomFields是一个Julia包，用于从高斯随机字段计算和采样。
主要特征
支持平稳的可分离和不可分离的各向同性和各向异性高斯随机场。
我们提供大多数标准协方差函数，例如高斯，指数和Matérn协方差。 添加用户定义的协方差函数非常容易。
生成高斯随机场的最常用方法的实现：乔尔斯基分解，特征值分解，Karhunen-Loève展开和循环嵌入。
轻松生成在有限元网格上定义的高斯随机场。
多功能绘图功能，可使用轻松可视化高斯随。
安装
GaussianRandomFields是已注册的软件包，因此可以通过以下方式安装
] add GaussianRandomFields
用法
有关如何使用此软件包的介绍，请参见（包括精美图片！）。
有关详细手册，请参见
参考
[1] Lord，GJ，Powell，CE和Shar
文件下载
资源详情
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