代码搜索：average
找到约 5,196 项符合「average」的源代码
代码结果 5,196
www.eeworm.com/read/337307/12377186
m nlathefun.m
function f=lathefun(x,n,m)
%n--examing interval
%m--Max number of products
%x--Living
%y--average loss
num_prod=min((n*ceil(x/n)),m);
exam_times=fix(num_prod/n);
bad_prod=max(num_prod-x+1,0)
www.eeworm.com/read/337307/12377729
m lathefunb.m
function f=lathefun(x,n,m)
%n--examing interval
%m--Max number of products
%x--Living
%y--average loss
num_prod=min((n*ceil(x/n)),m);
exam_times=[num_prod/n];
%num_prod=min(x+n,m);
%exam_
www.eeworm.com/read/227522/14421618
m amarma.m
function [z,e,REV,ESU,V,Z,SPUR] = amarma(y, Mode, MOP, UC, z0, Z0, V0, W);
% Adaptive Mean-AutoRegressive-Moving-Average model estimation
% [z,E,ESU,REV,V,Z,SPUR] = amarma(y, mode, MOP, UC, z0, Z0,
www.eeworm.com/read/223154/14652395
m amarma.m
function [z,e,REV,ESU,V,Z,SPUR] = amarma(y, Mode, MOP, UC, z0, Z0, V0, W);
% Adaptive Mean-AutoRegressive-Moving-Average model estimation
% [z,E,ESU,REV,V,Z,SPUR] = amarma(y, mode, MOP, UC, z0, Z0,
www.eeworm.com/read/38039/1090799
mnu chgclropt.mnu
CHG#CLEAR#OPT 改变间隙选项
#
Normal#Surf 法向曲面
Specify direction normal to a surface.
指定曲面的法向。
Specify#Dir 指定方向
Enter 3D increments.
输入3维增量。
Average#Dir 平均方向
Direction is half way between the normal surface
www.eeworm.com/read/403017/2316496
m program_2_4.m
% Program 2_4
% Signal Smoothing by a Moving-Average Filter
%
R = 50;
d = rand(R,1)-0.5;
m = 0:1:R-1;
s = 2*m.*(0.9.^m);
x = s + d';
plot(m,d,'r-',m,s,'b--',m,x,'g:')
xlabel('Time index n');
www.eeworm.com/read/373160/2767002
java myclass3_4.java
// MyClass3_4.java
public class MyClass3_4
{
public static void main(String args[])
{
int sum=0; //表示个数的和
int n=0; //设个数n的初值为0
int number; //表示0到100之间的一个整数
double average; //表示
www.eeworm.com/read/394381/8227394
m nlathefun.m
function f=lathefun(x,n,m)
%n--examing interval
%m--Max number of products
%x--Living
%y--average loss
num_prod=min((n*ceil(x/n)),m);
exam_times=fix(num_prod/n);
bad_prod=max(num_prod-x+1,0)
www.eeworm.com/read/394381/8228038
m lathefunb.m
function f=lathefun(x,n,m)
%n--examing interval
%m--Max number of products
%x--Living
%y--average loss
num_prod=min((n*ceil(x/n)),m);
exam_times=[num_prod/n];
%num_prod=min(x+n,m);
%exam_
www.eeworm.com/read/170937/9779071
m amarma.m
function [z,e,REV,ESU,V,Z,SPUR] = amarma(y, Mode, MOP, UC, z0, Z0, V0, W);
% Adaptive Mean-AutoRegressive-Moving-Average model estimation
% [z,E,ESU,REV,V,Z,SPUR] = amarma(y, mode, MOP, UC, z0, Z0,