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big-intger-plus-minus-multiply
C语言实现大数的加法减法以及乘法,水平限于仅仅大学生水平学习使用。(Use C language to achieve that addition, subtraction, and multiplication of a big intger.)
- 2013-05-11 13:52:20下载
- 积分：1
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fft
FFT快速傅里叶变换，用于数字信号处理，大大提高了运行速度，节省内存开销。C语言实现(FFT fast Fourier transform for digital signal processing, greatly improving the speed and save memory overhead. C language)
- 2011-05-30 00:54:58下载
- 积分：1
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CGandlu
CG共轭梯度法迭代解矩阵方程，Hhestens和Stiefel给出，(Conjugate gradient method CG iterative matrix equation solution, Hhestens and Stiefel given)
- 2009-04-11 11:25:14下载
- 积分：1
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Ansys-bridge
ANSYS 分析一座预应力连续刚构桥的命令流，很实用哦(ANSYS analysis of a prestressed continuous rigid frame bridge command stream, and very practical!)
- 2012-05-30 12:01:35下载
- 积分：1
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JocobiGG
本程序是根据jacobi过关法求实对称矩阵的全部特征值和特征向量(This procedure is based on realistic method jacobi clearance of all symmetric matrix eigenvalue and eigenvectors)
- 2009-06-27 14:20:10下载
- 积分：1
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foutiu
小波包分析提取振动信号中的特征频率，大学数值分析算法，计算互信息非常有用的一组程序。( Wavelet packet analysis to extract vibration signal characteristic frequency, University of numerical analysis algorithms, Mutual information is useful to calculate a set of procedures.)
- 2017-03-15 00:05:37下载
- 积分：1
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KINEMATIC
金属材料的随动强化有限元模型，适用于有限元分析的本构模型二次开发(Finite element model of kinematic hardening of metallic materials, constitutive model suitable for finite element analysis of secondary development)
- 2020-12-03 20:39:25下载
- 积分：1
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pianxin
计算偏心圆导热计算以及同位网格上的SIMPLE算法
(Calculating thermal calculations and eccentric position on the grid with SIMPLE algorithm)
- 2013-07-02 21:26:11下载
- 积分：1
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拟合
说明： 可以进行平面拟合，基于matlab语言，简单易懂(It can be used for plane fitting. It is simple and easy to understand based on MATLAB language.)
- 2020-06-21 02:20:01下载
- 积分：1
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共轭梯度法
说明： 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 Gradient) is a method between the steepest descent method and Newton's method. It only uses the first derivative information, but overcomes the disadvantage of slow convergence of steepest descent method, and avoids the disadvantage of storing and calculating Hesse matrix and solving inverse of Newton's method. Conjugate gradient method is not only one of the most useful methods to solve large-scale linear equations, but also the most effective method to solve large-scale nonlinear optimization One of the algorithms of. Among all kinds of optimization algorithms, conjugate gradient method is very important. It has the advantages of small storage, step convergence, high stability and no external parameters.)
- 2020-06-27 15:46:08下载
- 积分：1
