nonlinear-algorithm

自己写用于雷达直达波对消的m文件，通过抑制直达波提高目标回波信噪比(Write their own radar direct wave for the cancellation of the m documents, by inhibiting the direct wave enhance target echo signal to noise ratio)

确定近似最优正则化参数，很好的解决不适用问题(To determine the approximate optimal regularization parameter, it is very good to solve the problem.)

高斯拟合程序，采用高斯函数拟合数据，获得拟合高斯函数的平均值和方差。(Gaussian fitting procedure, using Gaussian function fitting the data, fitting Gaussian function to obtain the mean and variance.)

说明：  复数函数与积分变换 Fourier变换 Laplace逆变换(Complex number function and integral transformation Fourier transformation Laplace inverse transformation)

粉土的阻尼比拟合程序。拟合模型选择Davidenkov模型。(The silt damping match the proper procedure. The Fitting Model Davidenkov model.)

埃特金加速法,一个数值分析中的算法,大家先看看哦(Aitken acceleration method, a numerical analysis of the algorithm, we look at the flash open her cloak)

牛顿迭代，雅克比,求解非线性方程组 数值分析 MATLAB相结合(Jacobi NEWTON)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)

基于最小二乘位置估计定位方法（三维的）可产生图((Three-dimensional) positioning method based on least squares position estimation in Figure)

说明：  支持向量机中的支持向量回归函数对数据进行预测(Support Vector Regression Function in Support Vector Machine to Predict Data)