conj

最好的dijkstra 算法 matlab实现。 可以计算任意两点间的最短距离和路径。 不要参考其他的matlab程序，他们的路径都有问题。(Best Dijkstra algorithm matlab. You can calculate the shortest distance between any two points and path. Do not refer to other matlab program, their path has a problem.)

计算汉克尔函数，包括复数变量和任意阶数。对初学者很有帮助。(Calculate Hankel functions, including complex variable and arbitrary order. Useful for beginners.)

自信车轮压力分析 python 源代码 有限元分析(Wheel of bike ，python Finite Element code)

把 Maxwell 方程式在时间和空间领域上进行差分化。利用蛙跳式(Leap frog algorithm)--空间领域内的电场和磁场进行交替计算，通过时间领域上更新来模仿电磁场的变化，达到数值计算的目的。(The Maxwell equations in time and space on the field differencing. Using the leapfrog (Leap frog algorithm)- Space field for alternating electric and magnetic fields calculated by the time domain electromagnetic field is updated to mimic the changes to achieve the purpose of numerical calculation.)

Training a 3 layers feed forward neural network using back propagation algorithm

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.)

利用龙格库塔法（等步长，变步长）计算椭圆方程，双曲线方程，抛物线方程等。对各类微分方程进行数值计算。(The use of Runge-Kutta method (such as step, variable step size) calculated elliptic equations, hyperbolic equations, such as parabolic equation. Various types of differential equations for numerical calculation.)

说明：  使用分布傅立叶法计算非线性薛定谔方程。可以得到光纤非线性传输特性。(Fourier method using the distribution of nonlinear Schr枚dinger equation. Can be non-linear optical transmission characteristics.)

求解一维Eluer方程，计算一维激波管问题，lax_wendroff(Solving one dimensional Eluer equation to calculate the one-dimensional shock tube problem, lax_wendroff)

北京航空航天大学硕士研究生数值分析课的第一次大作业，用幂法反幂法求取矩阵的最大最小特征值(Minimum and maximum eigenvalue of the first graduate of Beijing University of Aeronautics and Astronautics numerical analysis class job, using the power method matrix inverse power law to strike)