Cure

响应面方法的一个例子，二阶响应面，使用正交矩阵法求解(rsm algorithms )

《电子战信号处理》讲义 ，西电赵国庆老师的经典讲义，学习电子战信号处理的童鞋一定要看看哈(Electronic Warfare Signal Processing)

非定常导热，附件包含3个源代码。分别对应着FTCE、BTCS和紧致格式的程序代码(unsteady conduction)

abaqus drucker-prager UMAT字程序(abaqus drucker-prager UMAT subroutine)

这是一个关于数字预失真功能仿真的matlab程序，效果不错，希望对大家有所帮助。(This is a matlab program about function estimation of digital estimation,and it has a good performance,really hope it can help you.)

说明：  西交大多相流程序。本程序由西安交通大学能源与动力工程学院 CFD-NHT-EHT 研究中心孙东亮博士开发。本程序的任何部分不得发表。本程序未经作者同意不得用于商业用途。您可以使用该程序或进一步发展该程序。发表任何在该程序基础上开展的工作请引用相关文献（文献在程序包内一并给出）(Most of the phase flow procedures in the West Cross. This procedure was developed by Dr. Sun Dongliang, cfd-nht-eht Research Center, School of energy and power engineering, Xi'an Jiaotong University. No part of this procedure may be published. This procedure shall not be used for commercial purposes without the consent of the author. You can use the program or further develop it. Publish any work carried out on the basis of the program, please refer to relevant literature (literature is given in the package))

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.)

使用梯度下降法、随机梯度下降法和牛顿法实现的逻辑回归算法。(Using a gradient descent method, stochastic gradient descent algorithm logistic regression method and Newton' s method to achieve.)

改进的极限学习机算法，具有更好的预测性能和稳定性(Improved limit learning machine algorithm)

多项式计算器，可以用于多项式的各种计算。(Polynomial calculator can be used for a variety of computing polynomials.)