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fft
有关FFT方面的内容,包括算法原理和程序应用(PDF)(The FFT aspects, including the principles and procedures of application of algorithm (PDF))
- 2011-10-29 15:27:35下载
- 积分:1
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12408927_G_P算法
说明: 关联维数求解,大组件构建,可以快速得到关联维数的值。(The value of correlation dimension can be obtained quickly by solving the correlation dimension and constructing large components.)
- 2021-04-10 10:00:20下载
- 积分:1
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Runge-Kutta
Using Runge-Kutta 10 inoder to solve
- 2011-06-05 01:41:52下载
- 积分:1
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mciduoxiangshinihe
用c++实现m次多项式的曲线拟合,改程序简单易懂,可读性强(it s easy)
- 2014-07-01 18:34:09下载
- 积分:1
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Bayesian-maximum-a-posteriori
实现贝叶斯最大后验概率计算,适合原理的研究,简单易懂。(To achieve the maximum a posteriori Bayesian probability, the principle of appropriate and easily understood.)
- 2011-06-15 22:01:03下载
- 积分:1
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neh
flow shop neh scheduling by makespan minimization
- 2012-03-14 21:59:14下载
- 积分:1
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utmc
本程序用于生成高质量的网格,可用于有限元,有限体积等方法的前处理。(This procedure is used to generate high-quality mesh, can be used for finite element, finite volume methods such as pre-processing.)
- 2017-08-10 11:24:49下载
- 积分:1
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MATLAB
最小二乘法在二维平面测向交叉定位里的应用(The least squares method in the two-dimensional plane measured to cross positioning)
- 2021-04-16 11:48:54下载
- 积分:1
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Fortran_Method_1
用于矩阵的一种cholesky分解方法,第一次上传请多关照(cholesky method for matrix decomposition)
- 2020-08-23 14:48:20下载
- 积分:1
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KMEANS
This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.
Usage for KMEANS is:
KMEANS SOURCEFILE <enter>
The format of the source file is:
NPat - Number of patterns (int)
SizeVect - Size of vector (int)
NClust - Number of cluster centers(int)
vect[1,1] ... vect[1,SizeVect] - vector 1 (real)
vect[2,1] ... vect[2,SizeVect] - vector 2 (real)
. .
. .
. .
vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real)
To compile:
ICC KMEANS.CPP <enter>
(This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.
Usage for KMEANS is:
KMEANS SOURCEFILE <enter>
The format of the source file is:
NPat - Number of patterns (int)
SizeVect - Size of vector (int)
NClust - Number of cluster centers(int)
vect[1,1] ... vect[1,SizeVect] - vector 1 (real)
vect[2,1] ... vect[2,SizeVect] - vector 2 (real)
. .
. .
. .
vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real)
To compile:
ICC KMEANS.CPP <enter>
)
- 2013-01-05 23:11:23下载
- 积分:1