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Matrix
采用随机数产生2到10阶的随机矩阵，并实现了矩阵的相关运算，比如：加减，乘除，求逆，求行列式(Using random Numbers generated random matrix from 2 to 10 order , and achieving relative to the implementation of the matrix operations, such as: add and subtract, multiple and divided, inverse and determinant)
- 2013-07-17 06:40:04下载
- 积分：1
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adi
matlab的adi方法求解偏微分方程，精确度较高(ADI method of MATLAB for solving partial differential equations)
- 2021-04-17 17:38:52下载
- 积分：1
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NetonLiterator
牛顿迭代法求解非线性代数方程组的主要思想是将非线性函数线性化(Newton iteration method for solving nonlinear algebraic equations nonlinear function of the main idea is to linear)
- 2010-06-12 12:33:23下载
- 积分：1
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SolidSAP
说明： berkeley加州大学SAP系列软件之SolidSAP，由Edward L.Wilson教授开发的三维结构源程序，功能强大，代码清晰，含学习手册。(SolidSAP, a three-dimensional structure source program developed by Professor Edward L. Wilson, is a software of the SAP series at the University of California, Berkeley. It has powerful functions, clear code and learning manual.)
- 2020-06-16 05:40:02下载
- 积分：1
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h1
关于多智能体系统一致性的程序，解微分方程(Consistency of multi-agent systems program)
- 2013-09-17 09:57:29下载
- 积分：1
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CH8
8.1 最小二乘曲线拟合hpir1.c
8.2 切比雪夫曲线拟合hchir.c
8.3 最佳一致逼近的里米兹法hremz.c
8.4 矩形域的最小二乘曲面拟合hpir2.c(8.1 Least-squares curve-fitting hpir1.c 8.2 Chebyshev curve fitting the best uniform approximation hchir.c 8.3 years Meeds law hremz.c 8.4 rectangular domain least-squares surface fitting hpir2.c)
- 2009-10-15 14:30:44下载
- 积分：1
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sod-problem-by-MacCormack
一维 问题，即激波管问题，是一个典型的一维可压缩无黏气体动力学问题，并有 解析解。对它采用二阶精度 两步差分格式进行数值求解。(Use MacCormack difference scheme for solving a two-dimensional shock tube problem)
- 2014-01-03 09:15:51下载
- 积分：1
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frft
说明： 分数傅里叶变换程序，这个是二维分数阶傅里叶变化程序。(Fractional Fourier transform procedure, this is a two-dimensional fractional Fourier change process.)
- 2010-03-20 21:39:35下载
- 积分：1
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test_read_file
实现了对文档的数据读入，实现了文档的数据读入(The realization of the document data read into, The realization of the document data read into, )
- 2013-08-14 02:15:23下载
- 积分：1
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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)
- 2013-09-13 16:33:21下载
- 积分：1
