coding

c++运算符程序编写运用，包括+，-，*，/，>>,<<(c++ operator programming use, including+,-,*, /, > > , < < )

根据电磁参数,介电常数实部和虚部，磁导率的实部和虚部，计算反射损耗。(calculating the reflection loss from the electromagnetic parameters)

用矩阵法求定积分1/(1+x^2)dx，区间是（-4，4）(Definite Integral Matrix Method)

一个求解Navier-Stokes不可压缩流动的代码。用Matlab编制。(It s a source code for Navier-Stokes equation in incompressilbe flow, which is written in Matlab.)

这是求多柔体转子纽马克法的程序。以拉格朗日方程为基础，结合有限元发计算(is seeking more flexible rotor Newmark Act procedures. To Lagrange equation, the FEM calculation)

数值计算的算法，采用c++实现，移植容易，一定能够用。(Data processing)

一些关于数学思想应用的matlab代码，以供大家学习分享；(The application of mathematical ideas about matlab code for them to learn to share )

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.)

1） 应用C语言编写程序，计算弹道，并绘制结果曲线。 给出系统脱靶量统计结果（用蒙特卡洛法）。 (torpedo)

金属断裂的数值计算提供理论依据及实际详例解读(The numerical calculation of metal fracture provides theoretical basis and interpretation of practical examples)