rconan-OOMAO-bc15776.tar

The function calculates the mean curvature of the input structured matrix data.

说明：  matlab源代码，是重要的地震勘探源代码，工具箱程序(matlab source code, it is important to seismic exploration source code, toolbox procedures)

基于混沌映射的密码生成算法，给定任意一个初值作为密钥，可以产生任意长度的密码，保密性高(password generator based on chaotic map)

元胞自动机模拟火灾，森林火灾模型，树燃烧状态的转变(Cellular automata simulated fire)

a good docs about an electrobiological signal traitment and processing it describ a wavelette method and the time frequency traitment

人眼定位MATLAB源程序人眼定位MATLAB源程序人眼定位MATLAB源程序人眼定位MATLAB源程序(MATLAB source localization of human eyes eyes Eyes Location Location MATLAB MATLAB source code source code source MATLAB Eyes Location)

MATLAB函数库（包含最全面的MATLAB基本函数）(MATLAB function library (including the most comprehensive basic MATLAB functions))

MATLAB软件实现计算有限长序列的DFT和IDFT函数的程序，另有一个实例(MATLAB software calculation of finite-length sequence of DFT and IDFT function procedures, while an example of)

混沌现象出现于非线性系统中。Matlab模拟了复摆运动行为及混沌现象(Chaotic phenomena in nonlinear systems. Matlab simulation of the compound pendulum movement behavior and chaos phenomena)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)