bayes

一个用于复杂网络研究中计算网络静态参数（度分布，簇系数等）的c程序（其中的数据是具体的可换成其他的数据）。很简单但是对于做复杂网络研究的却很有启发的哦。(a complex network for research computing network static parameters (distribution, Clustering coefficient, etc.) c (which is specific data can be replaced by other data). Very simple but so complex network of research is very enlightening oh.)

这是一段杆塔建模的命令流，可用于ansys有限元分析(This is a tower of order flow modeling, finite element analysis can be used to ansys)

多目标粒子群优化算法，利用粒子群算法原理编写优化两个目标函数。(Multi-objective particle swarm optimization algorithms, particle swarm optimization principle to write to optimize the two objective functions.)

burgers方程求解，采用fortran编写，有详细的说明，效果非常好(burgers equations, using fortran prepared a detailed description of the effect is very good)

电磁场 向量分析与场论基础 《向量分析与场论基础》就是关于场的数学刻画、描述以及场特征的一般分析。在本概要中，为简明区分向量与标量起见，向量一律采用黑、斜体。 (vector analysis and electromagnetic field theory based "vector analysis and field theory foundation" is on the mathematical characterization. and the description of the general characteristics of the market analysis. In the outline for concise distinction between vector and scalar sake, vector will be used black, in italics.)

多相流cfd程序，用fortran实现，有多流体和dem计算功能，当然还有其它更多功能(MFiX is a general-purpose computer code developed at the National Energy Technology Laboratory (NETL) for describing the hydrodynamics, heat transfer and chemical reactions in fluid-solids systems. It has been used for describing bubbling and circulating fluidized beds and spouted beds. MFiX calculations give transient data on the three-dimensional distribution of pressure, velocity, temperature, and species mass fractions. MFiX code is based on a generally accepted set of multiphase flow equations. The code is used as a "test-stand" for testing and developing multiphase flow constitutive equations.)

精密星历内插 matlab代码,包含误差分析(Precise ephemeris interpolation matlab code, including error analysis)

对比卡尔曼滤波和维纳滤波对一阶gaussian-markov过程的滤波预测。(Contrast Kalman filter and Wiener filter of first-order gaussian-markov forecast filtering process.)

一维卡尔曼滤波算法，可以直接使用，通过系统噪声和测量噪声调整灵敏度。(One dimensional Calman filtering algorithm can be directly used to adjust the sensitivity through system noise and measurement noise.)

ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good. It is suitable for sparse data.)