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[ÇóÖú] Matlab¶ÔÁ½¸ö¾ØÕó×ö==ÏàµÈ±È½ÏÔËËã½á¹û²»ÕýÈ· ÒÑÓÐ1È˲ÎÓë

ÊÇÕâÑù£¬Õâ¸öÎÊÌâÎÒÓöµ½¹ýºÃ¼¸´Î£¬Ò»Ö±Ã»Óнâ¾ö¡£ÏÂÃæÊÇÎÊÌâµÄÑùÀý

ÎÒÏÈ´´½¨Ò»¸örand¾ØÕó
a = rand(5);

ÇóÆäÄæ¾ØÕóa_inv
a_inv = inv(a);
ÔÙÇóÆä°éËæ¾ØÕóa_adj //adjº¯ÊýÔÚÎÄÄ©¸½ÉÏ
a_adj = adj(a);

°´ÕÕÏßÐÔ´úÊýµÄ½áÂÛ£¬a_inv = a_adj / |a|

µ«ÊÇÔÚ³ÌÐòÀïÃæÎÒÊäÈ룺
a_inv == a_adj / det(a)

·µ»ØµÄÊÇÒ»¸ö0¾ØÕ󣬰´ÀíÀ´ËµÊÇÏàµÈµÄ°¡

ans =

     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0
     0     0     0     0     0



ÎÒ¾õµÃÊǾ«¶ÈµÄÎÊÌ⣬ÄÄλ´óÉñÄܰïæ½â¾öÕâ¸ö»ù´¡µÄÎÊÌ⣿


¸½ adjº¯Êý:

function B = adj(A)
%Çó°éËæ¾ØÕó
%ADJ Matrix adjoint.
% ADJ(A) is the adjoint matrix of square matrix A.
% It is computed using the Cayley-Hamilton Theorem.
% The inverse of A is: INV(A) = ADJ(A)/det(A).
%
% Matrices that are not invertable still have an adjoint.

%written by Paul Godfrey, April, 1998
%pjg@mlb.semi.harris.com

ce = poly(eig(A));
cesize = max(size(ce));
p = [0 ce(1cesize-1))];
s = (-1)^(max(size(A))+1);
B = s*polyvalm(p,A);
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a_inv
a_adj/det(a)
matlab/VB/python/c++/Javaд³ÌÐòÇë·¢QQÓʼþ:790404545@qq.com
2Â¥2014-04-08 17:54:07
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