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主成分分析
说明： 利用python进行因子分析,因子分析可以进行降维!(Using Python factor analysis, factor analysis can reduce dimensionality!)
- 2020-09-18 08:57:54下载
- 积分：1
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33473f00b996
说明： 实现加权复杂网络的LeaderRank算法(Leaderank algorithm for weighted complex networks)
- 2021-01-06 14:55:06下载
- 积分：1
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rspbr2_03.0603_Source
美国牛人编写的以平面框架结构为基础的桥梁设计与校核软件，fortran90格式，已经调通，完全可以运行。(U.S. cattle were written in a flat frame-based bridge design and calibration software, fortran90 format, has been transferred through, can run.)
- 2011-10-17 00:06:09下载
- 积分：1
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XFEMAbq
abaqus中扩展有限元（UEL）计算疲劳断裂(extended finite element method (uel)for fracture problems within the finite element software ABAQUS)
- 2020-07-27 10:38:40下载
- 积分：1
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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
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zheng
正入射的自由曲面透镜设计，计算获得透镜的二维坐标(The free-form surface lens is incident on the design, the two-dimensional coordinates of the lens calculated)
- 2021-04-13 18:58:56下载
- 积分：1
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ScienceDirect_files_04Dec2020_09-38-45.837
说明： 求解齿轮的热弹流润滑问题，本程序中说明了每个子程序的用途，而且带注释。(To solve the thermal elastohydrodynamic lubrication problem of gears, the purpose of each subroutine is explained in this program, and there are comments.)
- 2020-12-07 22:20:02下载
- 积分：1
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fsolve-function-nonlinear-equations
fsolve函数求非线性方程组数值解，已经验证其正确性。(fsolve function for the numerical solution of nonlinear equations)
- 2013-08-05 09:25:31下载
- 积分：1
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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
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sanciyangtiao
其基本思想是取B样条函数 为及基函数，在[a,b]中均匀划分区间，xi=a+ih,h=(b-a)/n,由于三次样条函数空间是n+3维的，所以把分点扩充到x-1,xn+1,则任意三次样条函数可用 线性组合来表示：(The basic idea is to take B-spline function and basis functions in [a, b] in the evenly divided intervals, xi = a+ ih, h = (ba)/n, because the cubic spline function is n+3 dimensional space , so the expansion points to the x-1, xn+1, then any cubic spline function can be expressed as a linear combination:)
- 2011-10-14 09:40:33下载
- 积分：1
