▍1. nsolgm
nsolgm 算法 是求解非线性方程组的一种非常有效而且又快捷的方法(nsolgm algorithm for solving nonlinear equations is a very effective and efficient way and)
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▍2. bycgste
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)
▍3. bycgste
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)
▍4. gmres
gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。(gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to n.)
▍5. gmres
gmres 方法。视图求解线性方程组A*x=b的解x。nXn的稀疏矩阵A必须是方程且应是大型稀疏矩阵。列向量b的长度必须为n。(gmres method. View solving linear equations A* x = b the solution x. nXn sparse matrix A must be equation and should be large sparse matrix. The length of the column vector b must be to n.)
▍8. lijisuan
这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)
▍9. lijisuan
这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)
▍12. Y2M.m
使用Y矩阵来综合得到耦合矩阵M中各元素的matlab源代码(The Y matrix to obtain an integrated coupling matrix M of each element matlab source code)
▍13. Y2M.m
使用Y矩阵来综合得到耦合矩阵M中各元素的matlab源代码(The Y matrix to obtain an integrated coupling matrix M of each element matlab source code)
▍14. hybrid_pseudo_L
高超声速飞行器上升轨迹优化计算。采用勒让德伪谱法直接优化方法。(trajectory optimization of hypersonic craft program with legendre method)
▍15. hybrid_pseudo_L
高超声速飞行器上升轨迹优化计算。采用勒让德伪谱法直接优化方法。(trajectory optimization of hypersonic craft program with legendre method)
▍16. stochastic-computation
TGM.m \传统的Galerkin方法 MD.m \时滞惯性流形方法 brownian.m \演示布朗运动 randomwalk.m \ 演示随机游走 tumor.m \ 演示tumor演化(TGM.m traditional Galerkin method MD.m Delays inertial manifold method brownian.m demo Brownian motion randomwalk.m demo random walk tumor.m demo tumor evolution)
▍17. stochastic-computation
TGM.m \传统的Galerkin方法 MD.m \时滞惯性流形方法 brownian.m \演示布朗运动 randomwalk.m \ 演示随机游走 tumor.m \ 演示tumor演化(TGM.m traditional Galerkin method MD.m Delays inertial manifold method brownian.m demo Brownian motion randomwalk.m demo random walk tumor.m demo tumor evolution)
▍18. wavePsvm
小波分解与最小二乘支持向量机，用于天线故障诊断。(Wavelet decomposition and least squares support vector machine for antenna diagnostics.)
▍19. wavePsvm
小波分解与最小二乘支持向量机，用于天线故障诊断。(Wavelet decomposition and least squares support vector machine for antenna diagnostics.)
▍20. PAMELA
由美国SANDIA实验室一名研究员编写的用于计算半导体量子纳米线的一系列matlab文件。(SANDIA laboratory by the American researcher prepared a semiconductor quantum nanowire used to calculate a series of matlab file.)
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