zhanboqi

用matlab写的BP网络辨识函数，非常有用。(this is a program with matlab)

this code parsing xml tree by reading it and convert it to the matlab format, so we can use a xml document in matlab like an array or struct.

一个简单的文本匀齐排版程序源代码，基于WIN32控制台的(A simple text smoothing Qi typesetting program source code, based on WIN32 console)

John D. Anderson《计算流体力学基础及其应用》 第9章：二维不可压库埃特流的数值解。自己编写的Matlab源代码。(John D. Anderson " Computational Fluid Dynamics basis of its application" Chapter 9: two-dimensional numerical solution of incompressible Couette flow. I have written Matlab source code.)

More examplex of html app witch include image maps, link

该程序对于重力异常的数据可以进行导数换算，对于重力数据处理有很大的用处。(The procedure for the gravity anomaly data can be derivative conversion, is very useful for processing gravity data.)

This an E-book about modern signal processing.

先定义允许状态S={(x,y)|x=0或3,y=0,1,2,3 x=y=1,2}, 允许决策D={(u,v)|u+v=1,2},求dk<-D(k=0,1,2,…,n),使 状态Sk<-S按照状态转移律S(k+1)=S(k)+(-1)^k*dk,由初始状态 S1=[3,3]经有限步到达状态S(n+1)=[0,0].此为求解多步决策问题( First define to allow the state S = ((x, y) | x = 0 or 3, y = 0,1,2,3 x = y = 1,2), to allow the decision-making D = ((u, v) | u+ v = 1,2), seek dk < -D (k = 0,1,2, ..., n), so that state Sk < -S state transition in accordance with law S (k+1) = S (k )+ (-1) ^ k* dk, from the initial state S1 = [3,3] by the finite-step to reach the status S (n+1) = [0,0]. This is a multi-step decision-making problem solving)

模拟退火算法的解决 具体在mATlab实现算法 (matlab)

Smooths scattered normally distributed data with a P-spline