GaussianMixtureModel_2-

Multi-component fluid, using a LB method, based on the Shan-Chen model

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)

对农产品的销量进行预测，首先是归一化处理，再用LSSVM进行预测(To predict agricultural product sales, the first is normalized, and then LSSVM forecast)

异步电机的启动，本人亲自编写，并且经过自己的验证，绝对可信(Start asynchronous motors, I personally prepared, and after their verification, absolutely credible)

MATLAB课程报告，关于菲涅尔全息过程的计算机仿真(MATLAB program reports on the Fresnel hologram Computer Simulation)

复形调优算法，，本算法是改进型算法，它在全局范围内寻找最优点，收敛效果好且快(Complex tuning algorithms, the algorithm is modified algorithm, the scope of its global search for the most advantage of faster convergence and better)

说明：  matlab混合编程（书中程序） 这个为第五章(matlab mixed programming (program book) The fifth chapter)

语音工具箱，非常有用，matlab语音工具箱。(Voice toolbox, very useful, Matlab Speech toolbox.)

EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Semicircle, Yule, Zeta,(EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions): Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Sem)

Coordinated Guidance of Autonomous UAVs via Nominal Belief-State Optimization