Logistics_sequence

因子分析法matlab源代码，能将为数众多的原始指标变量经过分析综合为少数几个公共因子变量,从而大大减少计算的复杂度。(Factor analysis matlab source code, can go through a large number of original indicator variables comprehensive analysis to a few common factor variables, thus greatly reducing the computational complexity.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

说明：  三角形，四边形 空间体单元等的刚度矩阵的组装，应力求解，有限元分析，该m文件可直接被matlab调用(Assemble the stiffness matrix of triangle, quadrilateral space element, stress solution, finite element analysis, the M file can be directly called by MATLAB)

说明：  杂波的一个MATLAB仿真，杂波的产生：先生成一个（0，1）分布的随机数r，让后根据poission分布产生杂波的个数n，这n个杂波是服从均匀分布(Clutter a MATLAB simulation, the resulting clutter: a President (0,1) distribution of the random number r, let poission distributed according to the number of clutter have n, that n is subject to a uniformly distributed clutter)

Detecting spheres in matlab

SVPWM在永磁同步电机上的仿真，很好的与SPWM的仿真形成比较(PMSM simulation based on SVPWM)

Perceptron implementation, with basics characteristics and comented in portuguese, every detail.

使用MATLAB_Engine与C混合编程(MATLAB_Engine andC hybrid programming)

its about MIMO BD algorithm

根据BS公式，通过Mente Carlo模拟对欧式期权进行定价的源码。即使不是做期权定价的，该源码也是一个非常好的理解如何做Mente Carlo模拟的实例。(Based on the Black-Scholes formula, codes for pricing the European options through the Mente Carlo simulation. It is a very good example for your understanding of how to do Mente Carlo simulation, even if you do not engage in the option pricing.)