ed

两阶段法求解带时间窗的VRP问题，里面嵌套节约算法。(Two-stage method for solving the VRP with time windows, which nested saving algorithm.)

燃料电池混合动力系统建模，并基于simulink进行仿真验证。(The fuel cell hybrid power system is modeled and simulated based on simulink.)

说明：  系统辨识 辅助变量法、最小二乘法，递推最小二乘法，极大似然估计法、随机梯度法等matlab程序(system identification iv ls rls sg)

电子产品软件验证越来越重要，通过加速硬件软件协同的目标、价值和方法充分证明(asic speed)

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

计算时间和二维直方图,用谱方法计算流体力学一些流动现象的整体稳定性,计算一维光子晶体的透射特性和反射特性。( Computing time and two-dimensional histogram, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic)

关于双模激光器的几个程序，可以直接使用。(Several programs for dual-mode lasers can be used directly.)

NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好(classification, NWFE:Nonparametric Weighted Feature Extraction for Classification)

本程序是matlab写的基于最小交叉熵的图象分割，处理速度快，分割质量好。(This procedure is written in matlab minimum cross-entropy-based image segmentation, processing speed and good quality segmentation.)

从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析，(From basic bpsk, qpsk, qam to the actual ofdm systems, cdma link, mac layer simulation analysis,)