MLPG

optimization engineering text book by s.s.rao

多目标跟踪的粒子滤波器，各种kalman滤波器的设计，采用加权网络中节点强度和权重都是幂率分布的模型。( Multi-target tracking particle filter, Various kalman filter design, Using weighted model nodes in the network strength and weight are power law distribution.)

深入浅出蒙特卡洛方法，蒙特卡洛仿真高级学习文档资料，提供深入浅出的学习帮助(Simple terms Monte Carlo method, Monte Carlo simulation of advanced study and documentation, providing simple terms of learning to help)

说明：  自适应步长龙格库塔法求解常微分方程，main.c内容根据自己需要改变，待求解方程为derivs，需要使用者自己编写(Adaptive step size Runge Curta Fa for solving ordinary differential equations)

FFT with fix point 2*N

重力异常正演代码，请好好使用它。帮助学习。。。。(Gravity anomaly forward code, please use it well. Help learn)

用于利用最大熵法求解数据资料服从的分布类型。并应用最小二乘法求解模型以得到最优解(Using the maximum entropy method for solving the data distribution type of obedience. And apply the least squares method to obtain the optimal solution to solve the model)

F-K域偏移法和相移法偏移程序（C语言）(FK domain migration method and the phase- shift method migration program (C language))

关于神经网络控制，数据模型归一化，模态振动，多目标跟踪的粒子滤波器。( On neural network control, Normalized data model, modal vibration, Multi-target tracking particle filter.)

实现贝叶斯最大后验概率计算，适合原理的研究，简单易懂。(To achieve the maximum a posteriori Bayesian probability, the principle of appropriate and easily understood.)