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3DSample1
3维重建的一些例子,基于matlab平台(Some examples of three-dimensional reconstruction, based on matlab platform)
- 2010-02-15 12:51:49下载
- 积分:1
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One-dimensional-extremum-problem
说明: 第6章 无约束一维极值问题
所在章节 函数名 功 能
6.1 minJT 用进退法求解一维函数的极值区间
6.2 minHJ 用黄金分割法求解一维函数的极值
6.3 minFBNQ 用斐波那契法求解一维函数的极值
6.4 minNewton 用牛顿法求解一维函数的极值
6.5 minGX 用割线法求解一维函数的极值
6.6 minPWX 用抛物线法求解一维函数的极值
6.7 minTri 用三次插值法求解一维函数的极值
6.8.1 minGS 用Goldstein法求解一维函数的极值
6.8.2 minWP 用Wolfe-Powell法求解一维函数的极值
(Chapter 6 unconstrained extremum problem one-dimensional sections of the functional 6.1 minJT function method for solving one-dimensional with the advance and retreat of the extreme range of 6.2 minHJ function of the golden section method using one-dimensional function of the extreme 6.3 minFBNQ use Fibonacci method one-dimensional function of the extreme 6.4 minNewton Newton method with one-dimensional function with extreme 6.5 minGX one-dimensional secant method to solve the extreme 6.6 minPWX function method for solving one-dimensional parabolic function of the extreme 6.7 minTri method with cubic interpolation one-dimensional function of the extreme 6.8.1 minGS Goldstein method with one-dimensional function of the extreme 6.8.2 minWP Wolfe-Powell method with a one-dimensional extreme value function)
- 2011-04-12 15:51:56下载
- 积分:1
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mf
说明: programme for markov
- 2011-06-24 04:20:56下载
- 积分:1
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gramschmidt_stable
A classification function
- 2011-07-14 21:03:19下载
- 积分:1
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Ambigures
生成伪随机序列调相的回波信号的速度模糊函数(generate M sequence echo signal s ambigures function)
- 2016-01-20 16:08:49下载
- 积分:1
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matlab 提取图象的elbp特征的程序 eLBP
一个提取图象的elbp特征的程序,非常实用,效果也不错(A feature extraction procedure elbp image, very practical, with good results)
- 2020-06-28 09:20:01下载
- 积分:1
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ShuZhiFenXi4
单位圆的内插实现,里面有4种内插算法:拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)
- 2010-01-15 20:38:07下载
- 积分:1
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Matlab-Project
主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目
(Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)
- 2011-04-22 14:40:52下载
- 积分:1
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Helpful-Function-for-the-Registry
Note: const char* PATH means the Path inclusive the file name
Note: HKEY hKey means the property, such as HKEY_LOCAL_MACHINE or HKEY_USERS
- 2015-03-31 19:08:28下载
- 积分:1
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ds
说明: Data for multiuser mimo
- 2014-01-30 13:49:04下载
- 积分:1