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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hpp pdf.hpp

#ifndef INDII_ML_AUX_PDF_HPP #define INDII_ML_AUX_PDF_HPP #include "vector.hpp" #include "matrix.hpp" namespace indii { namespace ml { namespace aux { /** * Abstract probability distribution
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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
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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
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hpp pdf.hpp

#ifndef INDII_ML_AUX_PDF_HPP #define INDII_ML_AUX_PDF_HPP #include "vector.hpp" #include "matrix.hpp" namespace indii { namespace ml { namespace aux { /** * Abstract probability distribution
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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
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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
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m quantile2.m

function y = quantile2(x, p, dim) %QUANTILE2 Compute quantiles of a data sample. % Y = QUANTILE(X,P) returns quantiles of the values in X. P is a scalar % or a vector of cumulative probability valu
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m mp_tsp_nc.m

function MP_TSP_NC(n) %Multi Period TSP with Stochastic Demands %n is the # of hospitals, not including DC %Input Data %n = 5;%Number of hospitals % n = 2; nState = 3^n; p0 = 0.3; %Probability that
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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_f529.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 minus_in