代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
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cpp d13r12.cpp

#include "iostream.h" #include "math.h" void main() { //program d13r12 //driver for routine probks char text[51]; cout
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txt d13r12.txt

Private Sub Command1_Click() 'PROGRAM D13R12 'Driver for routine PROBKS Dim Text(50) As String Print Print Tab(5); "Probability func. Kolmogorov-Smirnov statistic" Print
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txt d13r12.txt

Private Sub Command1_Click() 'PROGRAM D13R12 'Driver for routine PROBKS Dim Text(50) As String Print Print Tab(5); "Probability func. Kolmogorov-Smirnov statistic" Print
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m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal-to-noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % tolerance used for the integration min
www.eeworm.com/read/213940/15121858

m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal-to-noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % tolerance used for the integration min
www.eeworm.com/read/213940/15121889

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
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m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
www.eeworm.com/read/210157/15205809

m bdt_f527.m

% MATLAB script that generates the probability of error versus the signal-to-noise ratio initial_snr=0; final_snr=15; snr_step=1; tolerance=1e-7; % tolerance used for the integration min
www.eeworm.com/read/210156/15205840

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T
www.eeworm.com/read/210154/15205896

m variance.m

function v=variance(funfcn,a,b,tol,p1,p2,p3) % EXPECTED Finds the variance of a random variable % with probability density function 'funfcn' and % support [a,b]. % Y=VARIANCE('F',A,B,T