Computed adjoints for convex relaxations of ODEs
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://data.mendeley.com/datasets/tfr764vf8s
下载链接
链接失效反馈官方服务:
资源简介:
Our associated manuscript (by Yulan Zhang and Kamil Khan) describes an implementation of adjoint subgradient evaluation for convex relaxations of ODEs. This dataset contains numerical results that are summarized in Examples 5 and 6 of that manuscript. Our associated code is available at: https://github.com/kamilkhanlab/continuous-convex-adjoints
本研究相关的论文(作者为张玉兰(Yulan Zhang)与卡米尔·汗(Kamil Khan))阐述了针对常微分方程(Ordinary Differential Equation, ODE)凸松弛的伴随次梯度求值实现方法。本数据集包含该论文中示例5与示例6所总结的数值实验结果。本研究配套的代码可通过以下链接获取:https://github.com/kamilkhanlab/continuous-convex-adjoints
创建时间:
2023-09-04



