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cvxpylayers

时间: 2023-09-09 10:10:37 浏览: 135

cvxpylayers是一个Python库，用于在PyTorch和TensorFlow中构造可微凸优化层。它允许在前向通道中解决参数化凸优化问题，并生成解决方案。同时，它还可以计算解在后向传递中对参数的导数。123 #### 引用[.reference_title] - *1* [Python Weekly 422](https://blog.csdn.net/zkd758/article/details/103018801)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"] - *2* [cvxpylayers:可微凸优化层](https://download.csdn.net/download/weixin_42109925/18244762)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"] - *3* [cvxpylayers-0.1.4.tar_CVX_cvxpy整数规划_整数规划_凸优化python_](https://download.csdn.net/download/weixin_42666036/25842255)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"] [ .reference_list ]

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