3970971SPH-for-couette

弹性力学问题的边界元—姜弘道,用fortran语言编写的，实例详细(BEM elasticity problems- Jiang Hongdao with fortran language, detailed examples)

MATLAB Simulink Simulation Platform for Photonic Transmission Systems

fortran code for LINEAR_WAVE PROPAGATION by forward time forward spase method.

《基于L 矩估计的GEV-GPD分布拟合及其频数分配和分位数计算》 L 矩估计各分布参数(包括GUMBEL分布,GEV分布,GPD分布) ，其中包括子程序(1)计算频数分配(PINSHU),(2)数组排序(BSORT),(3)L矩估计GUMBEL,GEV及GPD参数,(4)检验拟合效果TEST,TEST1.( L moment GEV-GPD calculation, which can be used to calculate distributed parameters of L moment, etc. )

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)

详细介绍了PMF-FFT的原理和实现方法，对于初学者有一定的帮助(Details of the theory and implementation of PMF-FFT, there is some help for beginners)

说明：  代码为偏最小二乘法计算过程的代码，主要部分都有中文解释(Code for the calculation process of partial least squares method)

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)

国外最近的一篇变步长nlms仿真，该文件有文中的几种仿真，包括基本的仿真，信道突变下的追踪性能和语音回声消除的性能分析(Recent foreign nlms a variable step simulation, the file has the text of several simulations, including basic simulation, channel tracking performance under mutation and voice echo cancellation performance analysis)

二分法，用于多项式求解，迭代12次能达到很高的精度(Dichotomy for polynomial solving, iterative 12 times to achieve high precision)