VxRail 服务器搭建VMware 超融合VSAN出现故障时恢复出厂预装ESXI 。

We give a simple technique for verifying the Restricted Isometry Property (as introduced by Cand`es and Tao) for random matrices that underlies Compressed Sensing. Our approach has two main ingredients: (i) concentration inequalities for random inner products that have recently provided algorithmically simple proofs of the Johnson-Lindenstrauss lemma, (ii) covering numbers for finite dimensional balls in Euclidean space. This leads to an elementary proof of the Restricted Isometry Property and brings out connections between Compressed Sensing and the Johnson-Lindenstrauss lemma. As a result, we obtain simple and direct proofs of Kashin’s theorems on widths of finite balls in Euclidean space (and their improvements due to Gluskin) and proofs of the existence of optimal Compressed Sensing measurement matrices. In the process we also prove that these measurements have a certain universality with respect to the sparsity inducing basis.

圆受限三体问题 (CRTBP) 中的轨道分析和模拟，其中主要和次要天体围绕公共质心在圆形轨道上运动，忽略最小天体的引力影响。 这里描述的应用是针对日-地-月系统中的轨道问题，其轨迹在MATLAB中进行了模拟。 符号工具箱用于求解非线性二阶微分方程。

Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style代码，用于研究实值RBM

Implicit mixtures of Conditional Restricted Boltzmann Machines代码，主要是为了分析实值RBM

RBM在深度学习（deep learning）算法中有着非常重要的应用，本文介绍了RBM的基本概念，并介绍了几种有代表性的算法。作者西安交大张春霞，姬楠楠，王冠伟。