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forward-finite-difference-method-
地震勘探中，有限差分正演方法的简单一维数值模拟(Seismic exploration, forward finite difference method is simple one-dimensional numerical simulation)
- 2021-04-07 20:59:01下载
- 积分：1
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Calculator
PB开发的计算器程序，适合初学者，比较简单，开发程序版本PB9.0(PB calculator program developed for beginners, is relatively simple, the development program version PB9.0)
- 2012-12-26 17:55:50下载
- 积分：1
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MATLAB
平面波与涡旋光束干涉的干涉图样，可以用来制作全息图，从而产生涡旋光束(Interference pattern of plane wave and vortex beam interference, can be used to produce hologram, resulting in vortex beam)
- 2013-12-27 09:19:34下载
- 积分：1
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smooth
以重力异常为例，对重力异常曲线进行圆滑和求导数。(This is a matlab code.It about smooth and derivative algorithm.)
- 2016-01-05 15:21:56下载
- 积分：1
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fft
信号提取，fft变换，模态分析，互相关分析(fft)
- 2020-06-29 10:00:02下载
- 积分：1
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CUDA-SAR-
在VS2005环境下，使用CUDA编程实现SAR成像中CSA算法的实现，得到了很好的加速比。(In the VS2005 environment, using the CUDA programming SAR imaging algorithm implementation in the CSA, has been very good speedup.)
- 2011-07-20 15:23:16下载
- 积分：1
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solver_mod
说明： 相场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 12:40:02下载
- 积分：1
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unit-commitment-problem--5-machine-
采用拉格朗日算法求解机组组合问题，采用的是5机系统(Lagrange algorithm for unit commitment problem, 5 machine system)
- 2021-04-20 15:18:51下载
- 积分：1
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模糊控制
模糊控制的C语言实现，双输入单输出，采用查表法进行模糊推理，去模糊方法采用重心法，易于单片机实现(C language realization of fuzzy control, double input and single output, using look-up table method for fuzzy reasoning, using center of gravity method for deblurring, easy to realize by single chip computer)
- 2020-11-17 20:09:39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
