Chaos

说明：  计算平面九桁架的时域动力响应，运用中心差分方法，状态空间法(Nine of plane truss dynamic response in time domain using the central difference method, state space method)

LZ compression LZ decompression

蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。(The Monte Carlo method, also known as the statistical simulation method, was proposed in the mid-1940s due to the development of science and technology and the invention of electronic computers. A very important numerical calculation method for classes. Refers to the use of random numbers (or more common pseudo-random numbers) to solve many computational problems. Corresponding to it is a deterministic algorithm. The Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamic calculation).)

实用程序 对于初学MATLAB的人 很有帮助 也给编程节省不少时间()

说明：  经验模式分解matlab程序，有说明易上手效果好(Empirical mode decomposition of Matlab program, there are instructions for easy-to-use and good effect)

this is a code for neural network that estimate diffrential equations with heb learning

Most practical filters exhibit steady roll-off characteristic, in contrast to the sharp transition from the pass and stop bands. The important families of filters are: Butterworth, Chebyshev and Elliptic. As part of this lab, we study and design Butterworth filters. Butterworth filters are simple to design and have a maximally flat pass band response. In contrast the Chebyshev and Elliptic filters are difficult to design and have ripples in pass/stop band but have sharper roll off characteristics than Butterworth filters.

超效率DEA，可直接运行，但要注意输入量和输出量矩阵的形式，详细见内部说明文档(Super efficiency DEA)

基于C语言的压缩感知程序，目前大部分程序都是基于matlab的，这个代码可以作为参考。(C-based compressed sensing program, most programs are based on the current matlab, this code can be used as a reference.)

implementation of grid word problem-classic problem in machine learning coarse