最小二乘曲线拟合

此程序用于计算圆形截面的弯矩曲率特性和不同极限状态的识别(This program used for the the moment curvature calculation of circular cross-section characteristics and different limit state identification)

说明：  自己编的，实现l-bfgs解无约束优化问题(Own, and the realization of l-bfgs Unconstrained optimization problems)

n of the parity check matrix

利用matlab实现的部分CFD功能的代码，很有参考价值(Matlab to achieve part of the CFD function of the code, a very valuable reference)

说明：  用C语言编写的Fluent UDF实例，包含Adjust宏，profile宏等八个实例教程，快速上手(The UDF is for computational fluid dynamics software Fluent, it concludes the Profile.c,the Adjust.c)

高光谱解混合方法，变分增强拉格朗日线性解混合方法。(A Variable splitting Augmented Lagragian Approach to Linear Spectral Unmixing)

并联机构 正反解 六自由度并联机构空间运动结算 实例分析(DOF parallel mechanism inverse solution space motion parallel mechanism settled case analysis)

利用M序列作输入估计脉冲响应值，完成对连续和离散系统传递函数参数的辨识(Use of M sequence as the input impulse response estimated value to complete the continuous and discrete transfer function parameter identification)

地理数据拟合，用于GNSS高程拟合，内附示例(Geographic data fitting, used in GNSS elevation fitting, enclose the sample )

说明：  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 Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)