代码搜索：construct
找到约 6,584 项符合「construct」的源代码
代码结果 6,584
www.eeworm.com/read/300246/3847646
py bitvectordemo.py
#!/usr/bin/env python
import BitVector
# Construct a bit vector of size 0
bv1 = BitVector.BitVector( size = 0 )
print bv1 # no output
# Construct a bit vector of s
www.eeworm.com/read/422060/2045682
phpt oo_001.phpt
--TEST--
date OO interface
--INI--
date.timezone=UTC
--FILE--
www.eeworm.com/read/493561/6395457
txt main_callertable.txt
main
PWM_Init
Usart_Init
Clear_Buffer_Registers
Boot_Computer
PWM_Start
Clear_Buffer_Registers
PWM_Stop
Lcd_Cmd
Delay_50us
Delay_5500us
Delay_1us
Show_Welcome_String
www.eeworm.com/read/38039/1090432
mnu constrpln.mnu
CONST#PLANE 构建平面
#
Best#Fit 最佳拟合
Construct a plane best fit through several points.
通过几点构建平面最佳拟合。
Midplane 中间平面
Construct the middle plane between two planes.
在两平面间构建中间平面。
Normal 法向
Construct a plan
www.eeworm.com/read/388426/8609978
m clusterdata.m
function T = clusterdata(X, cutoff)
%CLUSTERDATA Construct clusters from data.
% T = CLUSTERDATA(X, CUTOFF) construct clusters from a given data X.
% X is a matrix of size M by N, treated as M
www.eeworm.com/read/179210/9365118
m clusterdata.m
function T = clusterdata(X, cutoff)
%CLUSTERDATA Construct clusters from data.
% T = CLUSTERDATA(X, CUTOFF) construct clusters from a given data X.
% X is a matrix of size M by N, treated as M
www.eeworm.com/read/277779/10605180
m clusterdata.m
function T = clusterdata(X, cutoff)
%CLUSTERDATA Construct clusters from data.
% T = CLUSTERDATA(X, CUTOFF) construct clusters from a given data X.
% X is a matrix of size M by N, treated as M
www.eeworm.com/read/441332/7671746
m clusterdata.m
function T = clusterdata(X, cutoff)
%CLUSTERDATA Construct clusters from data.
% T = CLUSTERDATA(X, CUTOFF) construct clusters from a given data X.
% X is a matrix of size M by N, treated as M
www.eeworm.com/read/433822/7907593
m clusterdata.m
function T = clusterdata(X, cutoff)
%CLUSTERDATA Construct clusters from data.
% T = CLUSTERDATA(X, CUTOFF) construct clusters from a given data X.
% X is a matrix of size M by N, treated as M