-
SpaRSA
SpaRSA算法作为解决凸优化问题的重要方法，在压缩感知等领域具有重要应用，这篇文章是SpaRSA算法的原始文章，学习这篇文章就可以进行SpaRSA算法程序的编写了。(SpaRSA algorithm to solve convex optimization problems as an important method in the field of compressed sensing and other important applications, this article is SpaRSA algorithm original articles, learning this article can be carried SpaRSA algorithm procedures for the preparation of.)
- 2013-10-24 20:10:00下载
- 积分：1
-
MTT
通过滑动T检验时间序列的变化趋势，一般多用于气象分析(T-test time series by sliding the trend, generally used for weather analysis)
- 2013-09-05 16:49:32下载
- 积分：1
-
alpha-matlab
matlab产生Alpha稳定分布随机数；Alpha稳定分布概率密度函数计算；Alpha稳定分布的分布函数计算等(Matlab produce Alpha stable random number distribution Alpha stability distribution probability density function computing Alpha stability distribution of distribution function is presented)
- 2012-08-07 09:41:11下载
- 积分：1
-
solver_mod
相场基础书籍的配套计算代码，对于学习相场法的基础同学来说极其有用(The supporting calculation code of the phase field basic book is extremely useful for the students who are studying the basic method of the phase field method.)
- 2020-06-25 12:40:02下载
- 积分：1
-
fatigue-analysis-using-XFEM
牛人Matthew Pais，精通扩展有限元、abaqus、matlab,此博士论文详尽描述了XFEM的理论与编程思想。
(Professor Matthew Pais who is proficient at Extended Finite Element、abaqus, matlab。This paper describes the the XFEM theory and matlab programm ideas in detail.Now it is open to you ,my friends!)
- 2021-04-27 16:48:44下载
- 积分：1
-
SHIFT
以随机的中弱大气湍流为背景，可用于计算大气湍流下准直高斯光束的光强分布，光束扩展以及光束角漂移(The random weak atmospheric turbulence as the background can be used to calculate atmospheric turbulence of collimated Gaussian beam intensity distribution and beam propagation and beam angle drift)
- 2020-10-10 23:07:35下载
- 积分：1
-
Conjugate-Gradient-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。 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 (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)
- 2017-03-14 15:48:15下载
- 积分：1
-
潮流计算(3机9节点)
本程序应用python编程，用到3机9节点算例，数据也给出，可以实现潮流计算。(This program uses python programming, uses 3 machines and 9 nodes to calculate the example, and the data is also given, which can realize the load flow calculation.)
- 2020-07-03 05:00:02下载
- 积分：1
-
自定义k-e方程
实现用fluent udf自定义k~e方程(Define the k~e equation by using fluent udf function.)
- 2021-01-15 02:38:45下载
- 积分：1
-
WLS
用最小二乘法进行电力系统状态估计，包含IEEE30节点的电力系统图(Using least squares power system state estimation, including IEEE30 bus power system diagram)
- 2021-03-01 16:29:35下载
- 积分：1
