anypoint-lcking

source code for coordinate transformation

有限元方法分析典型结构,采用六节点三角形单元(This programming give an order 6 triangulation, an abstract list of sets of six nodes. The vertices are listed clockwise, then the midside nodes.)

matlab时频分析配套源码第3章的程序，请大家共享(Matlab time-frequency analysis supporting source Chapter 3, please share)

几种常用分布（如泊松分布、正态分布、指数分布、均匀分布）随机变量的matlab实现方法。(Surement distribution (eg Poisson distribution, normal distribution, exponential distribution, uniform distribution) random variable matlab implementation methods.)

matlab上进行FFT变换的程序，为初学者提供有用的帮助(matlab fft)

时间序列分析的matlab代码，带有文字说明，简单易懂(Matlab code, time series analysis with text descriptions, simple and easy to understand)

Astrodynamics library file crack

Daniel P. Palomar 2010的新作，凸优化在信号处理及通信中的应用。对于研究领域为通信理论及信号处理的学生而言，我强力推荐本书。(Daniel P. Palomar s new book published in 2010, 《convex optimization in signal processing and communications》. For the students in the areas of communication theory and signal processing, I strongly recommend this book.)

elasticsearch-river-mongodb 源码,主要讲述elasticsearch 和 mongodb 同步索引实现。可以实现自己编译。(Elasticsearch-river-mongodb source code, including elasticsearch and mongodb synchronization index. Can be compiled.)

In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.