Operator Learning Data
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/NBoulle/OperatorLearningAdjoint
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资源简介：
该数据集为研究在不探测伴随算子的条件下恢复非自伴算子提供了代码和数据支持。具体而言，该数据集包含了与算子学习中的无伴随分析相关的实验代码和理论结果数据，其任务涉及椭圆偏微分算子的格林函数的学习与恢复。
This dataset provides code and data support for research on recovering non-self-adjoint operators without probing their adjoint operators. Specifically, this dataset contains experimental codes and theoretical result data related to adjoint-free analysis in operator learning, and its tasks involve the learning and recovery of Green's functions for elliptic partial differential operators.
提供机构：
GitHub
