lagrange插值

EDFA的掺铒光纤长度模拟计算，附3篇相关论文，330mw的980nm泵泵浦，3db的泵浦吸收，12m最佳长度已经的到验证，可作为EDFA设计参考 (EDFA erbium-doped fiber length simulation of three related papers, 330mw of 980nm pump pump pump 3db absorption 12m optimum length has been to verify, can be used as the EDFA design reference)

说明：  二维FDTD程序计算近场模型，包括建模文件以及电磁场递推文件，入射角度为0°。模型时一个介质方柱。(The two-dimensional FDTD program calculates near-field models, including modeling files and electromagnetic field recursion files, with an incident angle of 0. The model is a medium square column.)

改程序用于大地电磁法二维有限元法正演模拟(Reform program for the magnetotelluric method of two-dimensional finite element method for forward modeling)

Fortran编的矩量法程序，是学习矩量法的入门程序。(Fortran compiled by the method of moments program)

振动控制理论 三自由度系统地震激励下 主动控制和半主动控制以及无控制系统的响应( vibration control )

这是一个数值计算Fortran程序，将矩阵进行奇异值分解，SVD.txt存放待分解的矩阵，u.dat,v.dat为分解后的左右矩阵，qiyizhi.dat和qiyizhi0.dat为得到的奇异值。(This is a numerical Fortran program matrix singular value decomposition, SVD.txt store to be factored matrix, u.dat, v.dat about decomposition of the matrix, qiyizhi.dat and singular value obtained qiyizhi0.dat .)

此为众多Python小案例，可以做学习用。(This is a small case of Python.)

说明：  本程序用在测试采煤机煤矸识别系统中，验证小波算法(Wavelet Algorithm for caving coal)

说明：  用fortran 70实现数值积分，并实例计算了三个函数，导出了积分值和误差(The numerical integration is realized by FORTRAN 70, and three functions are calculated with examples. The integral values and errors are derived.)

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(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)