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bicg_sparse
程序用Fortran95标准,给出了双共轭梯度法求解超大型稀疏矩阵的子程序。还给出了一个例子,例子的数据用索引存储了维数将近10万的对称稀疏正定矩阵。(Using Fortran95, a method of Biconjugate gradient for super linear sysem is provied. In addition, a example with the storage type of row-column index is also provide for test these subroutines. )
- 2013-09-09 18:31:58下载
- 积分:1
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a-TEM-program
一个小的瞬变电磁测深数据处理程序,主要用于计算视电阻率和深度.(a small transient electromagnetic sounding data processing procedures, mainly used in the calculation of the apparent resistivity and depth
)
- 2012-04-23 09:52:30下载
- 积分:1
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creep
abaqus蠕变子程序,user中的实例(creep subroutine for abaqus user)
- 2021-04-01 22:29:07下载
- 积分:1
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03CH4_red19
甲烷的19步简化反应机理文件,FORTRAN语言编写反应速度(ch4 reaction rate)
- 2020-10-27 10:39:58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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calculator
用mfc实现计算器的基本操作,支持键盘输入,并保留xp风格,可计算平方,幂,时间显示等操作(With mfc achieve the basic operation of the calculator, support for keyboard input, and retain xp style, calculates the square, power, time display and other operations)
- 2013-10-23 15:22:24下载
- 积分:1
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distance
C++程序求两点距离 可以点入坐标点(C++ program distance between two points)
- 2013-01-08 22:03:02下载
- 积分:1
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Dns-code
牛顿 非牛顿流体数值模拟源代码,对粘弹性流体湍流减阻进行分析(Newton non-Newtonian fluid numerical simulation of the source code, to analyze the viscoelastic fluid turbulent drag reduction)
- 2012-06-14 12:03:31下载
- 积分:1
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network-immune-system
非线性微分方程的人工免疫网络数学模型,适合于高水平研究者(Nonlinear differential equation mathematical model of artificial immune network, suitable for high-level researchers)
- 2011-10-18 11:27:43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