FLch4GAeg1

Find roots of a polynomial with very high degree and multiplicity by this compact routine.

最短路径算法的MATLAB 版的实现，实属呕心力作···(The shortest path algorithm to achieve MATLAB version, it is disgusting masterpiece.)

T. K. Datta, "Seismic Analysis of Structures" Wiley | 2010 | ISBN: 0470824611 | 464 pages | PDF

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

用有限差分模拟高斯脉冲在自由空间传播，运行该脚本，你会得到一个表面，它是由脉冲在1微米的步骤传播。 (Using the finite difference simulation of Gaussian pulse propagation in free space, run the script, you will get a surface, it is spread by the pulse in steps of 1 micron.)

it is a camera for matlab

说明：  采用近邻聚类方法进行聚类，给出了仿真的粒子，运行通过。(The neighbor clustering methods clustering, and give out the simulative particle, run through )

自适应数值积分算法， 自适应数值积分算法， 自适应数值积分算法，(Adaptive numerical integration algorithm, adaptive numerical integration algorithm, adaptive numerical integration algorithm,)

figure for fibercode

In recent years a substantial increase in the development of broadband wireless access technologies for evolving wireless Internet services and improved cellular systems has been observed [1]. Because of them, it is widely foreseen that in the future an enormous rise in traffic will be experienced for mobile and personal communications systems [2]. This is due to both an increased number of users and introduction of new high bit rate data services. This trend is observed for second-generation systems, and it will most certainly continue for third-generation systems. The rise in traffic will put a demand on both manufacturers and operators to provide sufficient capacity in the networks [3]. This becomes amajor challenging problem for the service providers to solve, since there exist certain negative factors in the radiation environment contributing to the limit in capacity