-
gcmjjs
这是考虑了高程的面积计算公式，VB编的程序，运行即可(This is the old area of the elevation calculation formula, the program can be run VB series)
- 2012-05-06 14:53:06下载
- 积分：1
-
龙格库塔法解振动方程
运用龙格库塔法-ode45求解一个多自由度的振动方程，得到振动的时域响应曲线(Using Runge Kutta method, -ode45 solved a multi degree of freedom vibration equation, and obtained the time domain response curve of vibration.)
- 2021-01-28 11:38:40下载
- 积分：1
-
《遗传算法及其在电力系统中的应用》2002
《遗传算法及其在电力系统中的应用》华中科技大学版("Genetic Algorithms and Their Applications in Power Systems" 2002)
- 2019-01-17 09:33:11下载
- 积分：1
-
GetMV2
一个简单的计算块的运动矢量源码，使用四步搜索算法(A simple calculation of the block motion vector source, use the four-step search algorithm)
- 2008-03-14 09:53:46下载
- 积分：1
-
chirp-Z变换 MATLAB代码.txt
说明： 一个简单的CZT chirp-Z变换例程(a simple example of CZT)
- 2019-04-26 10:39:33下载
- 积分：1
-
zenike-nihe
泽尼克拟合算法，包括直角坐标系拟合和极坐标系的拟合，成熟代码，还请放心！(Zernike fitting algorithm, including fitting, fitting and polar coordinates Cartesian coordinates of the mature code, please rest assured!)
- 2020-12-08 15:49:20下载
- 积分：1
-
一种基于密度峰值的半监督聚类算法
在第一个图像中的每个描述符，选择它的匹配到第二个图像。(For efficiency in MATLAB, calculating dot multiplication between unit vectors is faster than Euclidean distance. Please note that:
The ratio of attention to angle (the cosine of dot product of unit vector) is the approximate value of the ratio of Euclidean distance of small angle.)
- 2018-07-01 14:11:04下载
- 积分：1
-
fast-descent
牛顿法测试程序，包含线搜索和不含线搜索时算法比较。(newton algorithm with linear and without linear search.)
- 2020-12-02 22:59:24下载
- 积分：1
-
Conjugate-Gradient-Method
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 (Conjugate Gradient) is between the steepest descent method between the method and Newton' s method, it takes only a first derivative information, but to overcome the steepest descent method convergence slow shortcomings, but also to avoid the Newton method needs to be stored Hesse and disadvantages of computing inverse matrix and the conjugate gradient method is not only one of the most useful methods to solve large linear equations, solution of large-scale nonlinear optimization is one of the most effective algorithm. In various optimization algorithm, conjugate gradient method is a very important one. The advantage is that a small amount of memory required, with step convergence, high stability, and does not require any external parameters.)
- 2017-03-14 15:48:15下载
- 积分：1
-
xianxinghuigui
运用MATLAB软件做三元一次、三元二次及最小二乘法的数据仿真(MATLAB software for the ternary once Quadratic least squares method of data simulation)
- 2012-07-30 11:14:51下载
- 积分：1
