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numerical

于 2014-01-06 发布文件大小:10KB

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求解二阶变系数常微分方程,主要用于涡激振动中频率响应的计算(Solving second-order ordinary differential equations with variable coefficients)

文件列表：

numerical
.........\freespan.m,295,2011-01-08
.........\martix.m,2437,2011-01-08
.........\martrix_ylq.m,3037,2011-01-08
.........\numerical section.m,2722,2011-01-07
.........\RESULT-undefined value of l0.m,16364,2011-01-07
.........\result2.m,1552,2011-01-08
.........\sollll.m,189,2011-01-08
.........\Untitled4.m,19111,2011-01-15

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util_mod
说明：相场法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 13:20:01下载

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2019-01-10 09:45:54下载

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2011-11-19 14:07:21下载

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关于FFT和bode图的相关分析和再saber中的实现程序。。关于FFT和bode图的相关分析和再saber中的实现程序。。关于FFT和bode图的相关分析和再saber中的实现程序。。(On the FFT and Bode diagram of the relevant analysis and re saber in the implementation process.)

2020-06-29 12:20:01下载

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多边形水平柱
说明：通过建立截面为多边形的水平柱体模型，运用c语言程序进行编程，得出该地质体的重磁异常特点(By establishing a horizontal cylinder model with polygon cross section and programming with C language, the characteristics of gravity and magnetic anomalies of the geological body are obtained.)

2019-05-09 17:25:36下载

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说明：用FORTRAN语言实现二维欧拉方程的求解，采用二阶MUSCL迎风格式()

2007-09-10 14:30:45下载

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说明：可以计算两个小于500位整数的乘法，多项式求m次阶的系数和,大数阶乘。(Can compute the two less than 500-bit integer multiplication,M second-order polynomial coefficients of demand and, factorial of large numbers .)

2010-03-29 21:18:06下载

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Matlab3
插值与拟合，牛顿插值法，直接利用拉格朗日插值多项式的病态性(Interpolation and fitting, Newton interpolation method, the direct use of Lagrange Interpolation polynomial morbid)

2014-10-30 18:56:30下载

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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

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numerical

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