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sparse Bayesain learning algorithms

The ULIB is a collection of efficient building blocks for developing high-performance and scalable systems in C and C++. These building blocks mainly cover, multithreading, parallel computing, efficient data indexing, numerical approximation, and cryptography.

用matlab编写的神经网络预测代码，可以达到很好的预测效果！(predictived programmer using ANN)

matlab 程序代码 线性系统 龙格库塔法 可以解微分方程(matlab code linear system can solve differential equations Runge-Kutta method)

This matlab code includes the solution for root off a polynomial by Bairtow method .....

数值计算中的特征值、特征向量计算，采用matlab代码(eigenvalue computation)

Matlab fdtd using PML incidindo num cilindro.

说明：  用于D-S证据理论的组合计算，将多组数据融合，涉及到数列的计算(Combination of DS evidence theory is used to calculate the multiple sets of data fusion, involving the calculation of the number of columns)

Sliding mode control design

根据目标覆盖范围的天线最优化设计，有详细的说明文件(Depending on the target coverage of the antenna optimum design, contains a detailed description of the file)