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/431926/8646908
txt galog11.txt
generation best average standard
number value fitness deviation
1, 171.982309460, 128.416393239, 51.681795256
2, 175.694875540, 145.244542603, 36.565806807
www.eeworm.com/read/431926/8646931
txt galog.txt
generation best average standard
number value fitness deviation
1, 164.304928800, 103.254225402, 43.475595585
2, 175.868904250, 127.235517619, 41.199200388
www.eeworm.com/read/431926/8646950
txt galog.txt
generation best average standard
number value fitness deviation
1, 166.330839330, 110.841554414, 39.841139683
2, 166.330839330, 122.543587987, 24.387875102
www.eeworm.com/read/287111/8720376
txt galog.txt
generation best average standard
number value fitness deviation
1, 173.974757060, 91.105989563, 45.529530544
2, 173.974757060, 107.993473270, 40.250654353
www.eeworm.com/read/299412/7861018
txt galog.txt
generation best average standard
number value fitness deviation
1, 173.974757060, 91.105989563, 45.529530544
2, 173.974757060, 107.993473270, 40.250654353
www.eeworm.com/read/173453/9657313
m main.m
function main
sigma = 1; % AWGN noise deviation
q = 4; % Field parameter
nbits = log2(q);
www.eeworm.com/read/38039/1091316
mnu crvdeviatn.mnu
CRV#DEVIATN 曲率偏差
#
Scale 比例
Change relative scale of deviation display.
修改偏差显示的相对比例。
Tolerance 公差
Change tolerance of deviation display.
修改偏差显示的公差。
Select#Curve 选取曲线
Select curve from which to displa
www.eeworm.com/read/38039/1091769
mnu srfanl_dv.mnu
SRF#DEVIATN 曲面偏差
#
Scale 比例
Change relative scale of deviation graphic display.
改变偏差图显示的相对比例。
Tolerance 公差
Change deviation tolerance.
改变偏差公差。
Select#Srf 选取曲面
Select surface from which to calculate d
www.eeworm.com/read/38039/1093008
mnu crvanl.mnu
CRV#ANALYSIS 曲率分析
#
CrvtureDisp 曲率显示
Display Curvature analysis of a curve.
显示一个曲线的曲率分析。
RadiusDisp 半径显示
Display curvature radius along curve.
显示沿曲线的曲率半径。
Deviation 偏差
Display deviation of datum poin
www.eeworm.com/read/436995/7757433
m xgenrn.m
% xgenrn.m
% Scope: This MATLAB program generates random numbers with normal (Gaussian)
% distribution, with mean and standard deviation specified; plots