LFM

专为建模学生提供的算法：顶点覆盖近似算法(Designed to provide students with modeling algorithms: vertex cover approximation algorithm)

这是王长清教授的关于时域有限差分解光子晶体的书，这本和高本庆教授的结合看能深刻理解FDTD方法。(This book is about the method of FDTD that is written by Pro.Wang Changqing,one can read it with the book that written by Pro.Gao Benqing to obtain FDTD.)

一种匈牙利算法在线性分配问题中的应用研究 (algorithm)

提供了平均分布和正态分布的功能，并显示出来(Provide evenly distributed and the normal distribution function)

this is very informative and knowledgeable.

This a PU meshfree code have been developed for curve fitting problems. this archive contains Matlab subroutines

some figures generated in the book using Matlab are also provided as script files for learning experience

rgb channel sepration...

等间距线性阵列，阵元数M=8，阵元间距d= λ /2，等幅加权，目标方位φr =0°。产生空间白噪声矢量（复高斯分布）。 设阵列信号矢量元素s(m)=exp[j mψr]，其信号幅度为1，该阵元接收机附加的高斯噪声为n(m)=nmr+jnmi，其中实虚部均为独立同分布N(0, σ2)的高斯随机数，则该通道合成信号x(m)=s(m) + n(m)，其中信噪比为： SNR = 10 lg[1/(2σ2)] = – 3 – 10 lg(σ2) (dB) (The spacing of the linear array, and the array element number M = 8, the array element spacing d = λ/2, equal amplitude weighted target azimuth φR = 0. Space generated white noise vector (complex Gaussian distribution). Let array signal vector elements s (m) = exp [j mψr], the signal amplitude, the element receiver additional Gaussian noise n (m) = nmr+jnmi which the real and imaginary parts are independent and identically distributed N ( Gaussian random numbers of 0, σ2), the channel the synthesis signal x (m) = s (m) the PPLS n (m), where SNR is: SNR = 10 lg [1/(2σ2)] =- 3- 10 lg (σ2) (dB))

PSO和GA的结合，优化结果明显提升，PSO是粒子群优化算法，GA是遗传算法(The combination of PSO and GA improves the optimization results. PSO is a particle swarm optimization algorithm and GA is a genetic algorithm.)