代码搜索：gaussian

找到约 7,040 项符合「gaussian」的源代码

代码结果 7,040
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java gaussian.java

import java.math.*; public class Gaussian { public double[] Gaussian (double[][] a,double[] b,int n) { //void gaosi(double a[][n],double m[][n],double *x,double *b); //double[][]
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class gaussian.class

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java gaussian.java

import java.math.*; public class Gaussian { public double[] Gaussian(double[][] a, double[] b, int n) { // double[] x=new double[n]; double d = 0, t = 0, sum = 0; int k = 0, l = 0, i = 0
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class gaussian.class

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www.eeworm.com/read/388100/8635990

class gaussian.class

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c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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www.eeworm.com/read/287334/8693660

c gaussian.c

#include #define pi 3.1415 double gaussian(double x) { double resu; resu=-0.5*x*x; resu=exp(resu); resu=resu/sq
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dat gaussian.dat

1651 1 b00 1 2000 0x161 0xfe9f 0xf6f9 0x6cb 0x2e9 0xff26 0xfe08 0xfdac 0x4d9 0x4b 0xfd68 0x4f2 0x19a 0xffa8 0xfdac 0xfcce 0x1d4 0xd2 0x472 0x1fd 0xfdb5 0x2f 0x57f 0x2e2 0xfe46
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m gaussian.m

function p=gaussian(x,m,C); % p=gaussian(x,m,C); % % Evaluate the multi-variate density with mean vector m and covariance % matrix C for the input vector x. % % p=gaussian(X,m,C); % % Vectorized ver
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www.eeworm.com/read/382760/9001972

c gaussian.c

#include "mex.h" #include "matrix.h" #include void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) { const int *vettore_im; // vettore con component
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