( ) eye:
- (n) nrn;
- eye(m.n) ([m n]) mm ;
- eye(size(A)) , .
. , = eye([2,3,4]) .
- = randperm(n) 1:n -. :
randperm(6)
ans =
rand , (0, 1):
- rand(n) nn. n , ;
- rand(m.n) rand([m ]) mxn;
- rand(m.n,p....) rand([m n ...]) ;
- rand(size(A)) , , , ;
- rand ( ) , ;
- rand(' state') 35 , . :
- rand('state'.s) s;
- rand('state',0) ;
- rand('state'. j) j, j- ;
- rand('state',sum(100*clock)) , .
:
Y=rand(4,3)
Y=
0.9501 0.8913 0.8214
0.2311 0.7621 0.4447
0.6068 0.4565 0.6154
0.4860 0.0185 0.7919
, . :
x=rand(1000,l);
y=rand(1000,1);
plot(x,y,'.')
. 10.1. , , .
randn , , 1:
- randn(n) nn. n , ;
- randn(m.n) randn([m n]) mxn;
- randn(m,n,p,...) randn([m n ...]) , ;
- randn(size(A)) , , , ;
- randn ( ) , ;
- randn('state') , . :
- randn('state',s) s;
- randn('state',0) ;
- randn('state', j) j J-e ;
- randn('state', sum(100*clock)) , .
:
|
|
>>Y=randn(4.3)
Y =
-0.4326 -1.1465 0.3273
-1.6656 1.1909 0.1746
0.1253 1.1892 -0.1867
0.2877 -0.0376 0.7258
, . ,
Y=randn(10000,1);
hist(Y,l00)
(. 10.2) 100 10 000 .
, .
Statistics Toolbox , .