Dijkstra

ccaf，cca分析，典型相关分析，主要是典型的相关类型分析。(ccaf, cca analysis, canonical correlation analysis, the typical types of analysis.)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

插值与拟合，griddataexam，matlab经典算法的程序 数学类(griddataexam)

这个MATLAB例程是系统误码率变化仿真(The MATLAB routine changes in the system simulation of bit error rate)

principle component analysis is powerfull matlab source for face recognition.

matlab code for tsp with GA

Implement and investigate into stochastic Galerkin methods with a special focus on tensor product methods.

Implements many different methods for determining the winner of an election given voter preferences

接收信号为加噪声的QPSK信号，通过球的维纳解，实现系统辨识，达到滤波的目的。(Received signal is the QPSK signal plus noise, the Wiener solution through the ball, to achieve system identification, to achieve the purpose of filtering.)

一个感知器网络，绘制由W和B在输入平面中形成的最终分类线(A sensor network, drawn from the W and B in the input plane to form the final classification of line)