上篇介绍数学建模中常规方法的matlab实现，包括matlab交互、数据建模、程序绘图、灰色预测、规划模型等方法；还介绍了各种高级方法的matlab实现，包括遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真、数值模拟等。下篇以真实的数学建模赛题为案例，介绍了如何用matlab求解实际的数学建模问题，给出了详细的建模过程和程序(The introduction of conventional methods of mathematical modeling in matlab implementation, including Matlab interface, data modeling, process drawing, grey forecasting, planning model and other methods; also introduces various advanced methods to achieve the MATLAB, including genetic algorithm, particle swarm algorithm, simulated annealing algorithm, artificial neural network, wavelet analysis, dynamic simulation and numerical simulation etc.. In the case of a real mathematical modeling contest, the next chapter introduces how to solve the actual mathematical modeling problem with MATLAB, and gives a detailed modeling process and program.)