cvar代码matlab 一种用于自调度问题的新型DRO模型 那这个项目/研究呢？ This study proposes a novel moment-based distributionally robust optimization (DRO) model with conditional value-at-risk (CVaR) for self-scheduling problem under elecyticity price uncertainty. This model comprehensively considers electricity price fluctuations, unit parameters and load re- quirement, and it can be adjusted by adjusting the size of the ambiguity set, so it provides a suitable and adjustable self-scheduling strategy for generation companie

Convolutional Neural Networks (CNNs) are computationally intensive, which limits their application on mobile devices. Their energy is dominated by the number of multiplies needed to perform the convolutions. Winograd’s minimal filtering algorithm and network pruning can reduce the operation count, but these two methods cannot be straightforwardly combined — applying the Winograd transform fills in the sparsity in both the weights and the activations. We propose two modifications to Winograd-based CNNs to enable these methods to exploit sparsity.

Systems and enterprises (often referred to as systems-of-systems) that employ multiple advanced technologies and achieve ever-higher levels of complexity have become mainstays of the modern world. Managing the complexity of these systems, especially to create solutions to the needs of system users and other stakeholders within acceptable cost and schedule, is a recurring challenge to the Systems Engineering (SE) community. Spectacular progress in mechanical and electronic devices, materials, sensors, energy generation and control, vehicles and propulsion, communications and networking, computing and software, and many other fields creates both new capabilities and new demands for tools and methods to effectively exploit them. Communities as diverse as the sciences, commercial enterprises, education, government, academia, and the military frequently report that programs aimed at delivering new capabilities based on advanced technology have overrun their budgets and schedules, failed to meet their objectives, or simply overwhelmed the capabilities of system developers and users.

显式非线性模型预测控制

tesla model3 用户使用手册，详细介绍model3的使用说明。

用于tensorboard打开的可视化模型

帮助OPNET初学者入门提高，里面包括建模的例子，可以对照学习。

内含MSCOCO数据集中的模型（除FastPose（DCN））的.pth文件，直接从GitHub上下载很慢且很多放在谷歌云无法下载，现上传方便大家下载学习，需要其他数据集模型的见其他资源，文件太大不能一起上传

内含Halpe数据集中的模型和FastPose(DCN)的.pth文件，直接从GitHub上下载很慢且很多放在谷歌云无法下载，现上传方便大家下载学习，需要其他数据集模型的见其他资源，文件太大不能一起上传

anki-model Anki 模板 choose 这个文件夹里面就是选择题模板 front.html 这个里面是正面的模板代码 share.html 这个是中间的那个共享格式刷代码 back.html 这个就是背面的模板代码 .apkg 就是Anki的模板文件了 怎么下载？ 右上有一个 绿色Code 的按钮点击-选择 就可以下载了。 Anki 网上找的模板基本都不太符合我的需求，所以自己改了下。 喜欢的可以直接用我导出的模板，不喜欢的可以自己修改代码 Anki这个选择题模板文章介绍：