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浙江大学数学建模比赛2013B题Matlab源码，主要使用遗传算法和模拟退火解决自行车调度问题，此处为有时间窗的VRP问题，注释详尽，方便改进维护(Zhejiang University Mathematical Contest in Modeling 2013B title Matlab source code, detailed notes, easy to improve maintenance)

MATLAB中ODE算法的完整例程，可以参照学习，并且可以直接改动参数，可以运行成功。(Complete routine in MATLAB ODE algorithm can refer to learn, and you can directly change the parameters, you can run successfully.)

使用matlab中的三次样条差值函数实现曲线拟合(Using cubic spline matlab difference in function and curve fitting)

精通Matlab与C_C++混合程序设计.rar 是精通Matlab与C_C++混合程序设计 这本书的配套源码(Proficient in Matlab and C_C++ Mixed program design. Rar is proficient in Matlab and C_C++ Mixed programming matching this book source)

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DVHop localization algorithm

说明：  基于核回归的图像散乱点插值，用于BEMD分解(scattered data interpolation based on kernel regression)

基于互功率谱的时延估计，计算目标和海洋回波的功率谱密度,一个很有用的程序。( Based on the time delay estimation of power spectrum, Calculating a target and ocean echo power spectral density, A very useful program.)

多目标优化 相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题(Compared with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle)

包含了QPSK、OQPSK调制，QAM调制，以及16QAM调制通信系统仿真，采用格雷码，升余弦滤波，高斯信道(Includes QPSK, OQPSK modulation, QAM modulation, and 16QAM modulation communications system simulation, using Gray code, raised cosine filtering, Gaussian channel)