传输线矩阵法Transmission-Line Modeling (TLM) Method 国外经典教程，国内暂时没有出版，新的数值方法

稀疏直接求解法的好教材,LU分解法，对称和非对称求解法

B方法作为一种形式化语言方法，比起非形式化文档语言更有规范性。它以数学理论为基础，通过严格的逻辑推论，使得整个描述过程更为严谨，更容易转化为代码。

A Non-Local Cost Aggregation Method for Stereo Matching 完整代码

Zienkiewicz O.C 的有限元第五版（2000）英文原版，一二三册全，解压后是三本djvu格式的电子书，需要下载相应的阅读器WinDjView等打开。

Petr Krysl写的A Pragmatic Introduction to the Finite Element Method for Thermal and Stress Analysis With the Matlab toolbox SOFEA，关键是有matlab代码

nodal discontinue Galaekin method

最小生成树匹配，运行效果好，时间短

资源包括文章、代码、以及PPT，PPT能够帮助理解文章的主题思想，刚读的话挺有用的。

深度学习ADAM算法，分享给大家学习。 We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments. The method is straightforward to implement, is computationally efficient, has little memory requirements, is invariant to diagonal rescaling of the gradients, and is well suited for problems that are large in terms of data and/or parameters. The method is also appropriate for non-stationary objectives and problems with very noisy and/or sparse gradients. The hyper-parameters have intuitive interpretations and typically require little tuning. Some connections to related algorithms, on which Adam was inspired, are discussed. We also analyze the theoretical convergence properties of the algorithm and provide a regret bound on the convergence rate that is comparable to the best known results under the online convex optimization framework. Empirical results demonstrate that Adam works well in practice and compares favorably to other stochastic optimization methods. Finally, we discuss AdaMax, a variant of Adam based on the infinity norm.