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数值积分

于 2020-07-13 发布

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下载积分: 1 下载次数: 4

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代码说明：

说明： 1. 常用的数值积分方法(特别是梯形法、Simpson方法、 Cotes公式、Romberg算法以及Gauss 求积公式)的原理； 2. 复合梯形公式，复合Simpson公式，Romberg算法的程序(1. Commonly used numerical integration methods (especially trapezoid method, Simpson method Cotes formula, Romberg algorithm and Gauss quadrature formula); 2. Program of compound trapezoid formula, compound Simpson formula and Romberg algorithm)

文件列表：

compound Simpson.py, 1170 , 2019-03-15
compound trapezoid.py, 770 , 2019-03-15
cssimpson.py, 711 , 2019-02-19
cstrap.py, 631 , 2019-02-19
Romberg.py, 1216 , 2019-03-15

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SDCS
用matlab实现的改进的布谷鸟算法——SDCS，它是将最速下降法与CS相结合的(Matlab implementation of the improved algorithm of the cuckoo- SDCS , it will steepest descent method with CS )

2020-09-25 10:27:47下载

积分：1
FOLY
基于预估校算法的分数阶混沌系统的Lyapunvo指数计算程序(Lyapunvo exponent calculation program for fractional order chaotic systems based on predictor algorithm)

2021-04-14 10:38:55下载

积分：1
3DDC
此代码属于地球物理领域，是用有限差分开发的直流电法三维正演，基于FORTRAN平台，此代码具有很高的运算效率，对于从事地球物理领域的人来说是不可多得的(This code belongs to the field of geophysics, is developed using finite difference method of three-dimensional forward modeling of DC, FORTRAN-based platform, this code has high computing efficiency, people engaged in geophysical field is rare)

2013-12-05 22:36:46下载

积分：1
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2018-05-01 21:20:07下载

积分：1
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用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)

2013-11-04 16:19:50下载

积分：1
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以上是两个内点法程序，原仿射内点法，对偶仿射内点法。初始内点需要自己给出，自动求解初始内点的程序下次发送(These are the two interior point method procedure, the original affine interior point method, dual affine interior point method. Initial interior point needs its own given the initial interior point solution of automatic procedures to send the next)

2008-05-05 23:05:34下载

积分：1
p11_1
同心导体球和球壳之间的电势差和感应电荷的计算(Potential difference between the concentric conducting sphere and spherical, and the calculation of the induced charge)

2012-07-20 10:31:29下载

积分：1
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2011-09-21 12:00:27下载

积分：1
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2020-10-20 09:17:25下载

积分：1
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2013-01-11 13:32:40下载

积分：1

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