Scott Meyers 经典著作，讲解C++ STL 各种容器及使用方法。

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CSS开发,虽然不太全面,但一定对你有一些帮助的-CSS development, although not comprehensive, but certainly you have some help

一本很多牛人推荐的学习C＋＋的书-a lot of cattle recommend learning C++ book

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The celebrated Kalman filter, rooted in the state-space formulation or linear dynamical systems, provides a recursive solution to the linear optimal filtering problem. It applies to stationary as well as nonstationary environments. The solution is recursive in that each updated estimate of the state is computed from the previous estimate and the new input data, so only the previous estimate requires storage. In addition to eliminating the need for storing the entire 1 past observed data, the Kalman filter is computationally more efficient than computing the estimate directly from the entire past observed data at each step of the filtering process.

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