代码搜索：deviation
找到约 1,443 项符合「deviation」的源代码
代码结果 1,443
www.eeworm.com/read/334240/12615913
rd weibullparinv.rd
\name{weibullparinv}
\alias{weibullparinv}
\title{Compute the Mean and Standard Deviation of Weibull Distribution}
\description{
Compute mean and standard deviation of weibull distribution
gi
www.eeworm.com/read/334240/12615926
rd weibullpar.rd
\name{weibullpar}
\alias{weibullpar}
\title{Compute Shape and Scale Parameters for Weibull Distribution}
\description{
Compute the parameters shape and scale for Weibull distribution
given th
www.eeworm.com/read/236973/13985175
m lineseg.m
% LINESEG - Form straight line segements from an edge list.
%
% Usage: [seglist, nedgelist] = lineseg(edgelist, tol, [angtol, linkrad])
%
% Arguments: edgelist - Cell array of edgelists (row col) coo
www.eeworm.com/read/236973/13985179
m maxlinedev.m
% MAXLINEDEV - Find max deviation from a line in an edge contour.
%
% Function finds the point of maximum deviation from a line joining the
% endpoints of an edge contour.
%
% Usage: [maxdev, index,
www.eeworm.com/read/192551/8375558
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%
www.eeworm.com/read/391685/8391258
m imageshow.m
function range = imageshow(im, range)
% Show image with proper scalling
% First exclude the Inf value:
realim = im(find(isfinite(im)));
% By default range is within 2 standard deviation from the mea
www.eeworm.com/read/191613/8425750
cpp pr0634.cpp
// Programming with C++, Second Edition, by John R. Hubbard
// Copyright McGraw-Hill, 2000
// Problem 6.34 on page 146
// Computing statistics
#include // defines the assert() fu
www.eeworm.com/read/191613/8426602
cpp pr0633.cpp
// Programming with C++, Second Edition, by John R. Hubbard
// Copyright McGraw-Hill, 2000
// Problem 6.33 on page 146
// Computing Z-scores
#include // defines the assert() func
www.eeworm.com/read/291235/8432336
cpp xmoment.cpp
#include
#include
#include
#include "nr.h"
using namespace std;
// Driver for routine moment
int main(void)
{
const int NPTS=5000,NBIN=100,NPPNB=NPTS+N
www.eeworm.com/read/389457/8518305
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with mean
%