Determinat of Matrix Error cannot take det 'Matrix must be square'
조회 수: 4 (최근 30일)
이전 댓글 표시
%Script
N=numel(Latty);
NED=[ -sind(Latty).*cosd(Lonny) -sind(Latty).*sind(Lonny) cosd(Latty) ;
-sind(Lonny) cosd(Lonny) zeros(N,1) ;
-cosd(Latty).*cosd(Lonny) -cosd(Latty).*sind(Lonny) -sind(Latty) ];
det(NED)
disp(NED)
%Output with det commented out
0.2795 0.5486 0.7880
-0.0220 0.6289 0.7771
0.2254 0.5580 0.7986
-0.1555 0.6237 0.7660
0.2152 0.5914 0.7771
0.1222 0.5749 0.8090
-0.0220 0.6289 0.7771
0.1629 0.6079 0.7771
-0.0215 0.6153 0.7880
-0.1006 0.6349 0.7660
-0.0600 0.5704 0.8192
-0.0733 0.5973 0.7986
0.2890 0.5436 0.7880
-0.1226 0.6310 0.7660
0.0672 0.6393 0.7660
0.2732 0.5362 0.7986
0.1620 0.5650 0.8090
0.0512 0.5855 0.8090
-0.0767 0.6246 0.7771
0.1222 0.5749 0.8090
-0.1336 0.6287 0.7660
-0.0600 0.5704 0.8192
0.0110 0.6292 0.7771
-0.1485 0.5540 0.8192
-0.1629 0.6079 0.7771
0.0329 0.6285 0.7771
0.0798 0.5680 0.8192
0.1489 0.5974 0.7880
0.1945 0.5985 0.7771
-0.0215 0.6153 0.7880
-0.1045 0.5927 0.7986
0.1521 0.5678 0.8090
-0.0400 0.5722 0.8192
0.1760 0.5755 0.7986
0.1735 0.6049 0.7771
-0.1116 0.6330 0.7660
0.2010 0.5523 0.8090
0.0439 0.6278 0.7771
0.1840 0.6018 0.7771
-0.1489 0.5974 0.7880
0.1489 0.5974 0.7880
0.1521 0.5678 0.8090
0.1422 0.5703 0.8090
0.1902 0.5855 0.7880
0.0614 0.5846 0.8090
-0.0308 0.5870 0.8090
0.2795 0.5486 0.7880
0.0500 0.5714 0.8192
0.1336 0.6287 0.7660
-0.0205 0.5874 0.8090
0.0103 0.5877 0.8090
-0.0410 0.5864 0.8090
-0.1021 0.5789 0.8090
0.1959 0.5690 0.7986
0.0963 0.6081 0.7880
-0.1308 0.6156 0.7771
0.1816 0.5590 0.8090
0.2241 0.5280 0.8192
-0.0215 0.6153 0.7880
0.0336 0.6419 0.7660
0.1222 0.5749 0.8090
0.0646 -0.5260 0.8480
0.8910 -0.4540 0
0.9994 0.0349 0
0.9272 -0.3746 0
0.9703 0.2419 0
0.9397 -0.3420 0
0.9781 -0.2079 0
0.9994 0.0349 0
0.9659 -0.2588 0
0.9994 0.0349 0
0.9877 0.1564 0
0.9945 0.1045 0
0.9925 0.1219 0
0.8829 -0.4695 0
0.9816 0.1908 0
0.9945 -0.1045 0
0.8910 -0.4540 0
0.9613 -0.2756 0
0.9962 -0.0872 0
0.9925 0.1219 0
0.9781 -0.2079 0
0.9781 0.2079 0
0.9945 0.1045 0
0.9998 -0.0175 0
0.9659 0.2588 0
0.9659 0.2588 0
0.9986 -0.0523 0
0.9903 -0.1392 0
0.9703 -0.2419 0
0.9511 -0.3090 0
0.9994 0.0349 0
0.9848 0.1736 0
0.9659 -0.2588 0
0.9976 0.0698 0
0.9563 -0.2924 0
0.9613 -0.2756 0
0.9848 0.1736 0
0.9397 -0.3420 0
0.9976 -0.0698 0
0.9563 -0.2924 0
0.9703 0.2419 0
0.9703 -0.2419 0
0.9659 -0.2588 0
0.9703 -0.2419 0
0.9511 -0.3090 0
0.9945 -0.1045 0
0.9986 0.0523 0
0.8910 -0.4540 0
0.9962 -0.0872 0
0.9781 -0.2079 0
0.9994 0.0349 0
0.9998 -0.0175 0
0.9976 0.0698 0
0.9848 0.1736 0
0.9455 -0.3256 0
0.9877 -0.1564 0
0.9781 0.2079 0
0.9511 -0.3090 0
0.9205 -0.3907 0
0.9994 0.0349 0
0.9986 -0.0523 0
0.9781 -0.2079 0
-0.9925 -0.1219 0
0.3577 0.7021 -0.6157
-0.0271 0.7767 -0.6293
0.2992 0.7405 -0.6018
-0.1853 0.7433 -0.6428
0.2658 0.7303 -0.6293
0.1682 0.7913 -0.5878
-0.0271 0.7767 -0.6293
0.2011 0.7507 -0.6293
-0.0275 0.7875 -0.6157
-0.1198 0.7566 -0.6428
-0.0856 0.8147 -0.5736
-0.0973 0.7927 -0.6018
0.3699 0.6958 -0.6157
-0.1462 0.7520 -0.6428
0.0801 0.7618 -0.6428
0.3626 0.7116 -0.6018
0.2230 0.7777 -0.5878
0.0705 0.8059 -0.5878
-0.0947 0.7714 -0.6293
0.1682 0.7913 -0.5878
-0.1593 0.7493 -0.6428
-0.0856 0.8147 -0.5736
0.0136 0.7770 -0.6293
-0.2120 0.7912 -0.5736
-0.2011 0.7507 -0.6293
0.0407 0.7761 -0.6293
0.1140 0.8112 -0.5736
0.1906 0.7646 -0.6157
0.2402 0.7391 -0.6293
-0.0275 0.7875 -0.6157
-0.1387 0.7865 -0.6018
0.2094 0.7815 -0.5878
-0.0571 0.8172 -0.5736
0.2335 0.7637 -0.6018
0.2142 0.7470 -0.6293
-0.1330 0.7544 -0.6428
0.2767 0.7602 -0.5878
0.0542 0.7753 -0.6293
0.2272 0.7432 -0.6293
-0.1906 0.7646 -0.6157
0.1906 0.7646 -0.6157
0.2094 0.7815 -0.5878
0.1957 0.7850 -0.5878
0.2435 0.7494 -0.6157
0.0846 0.8046 -0.5878
-0.0423 0.8079 -0.5878
0.3577 0.7021 -0.6157
0.0714 0.8160 -0.5736
0.1593 0.7493 -0.6428
-0.0282 0.8085 -0.5878
0.0141 0.8089 -0.5878
-0.0564 0.8070 -0.5878
-0.1405 0.7967 -0.5878
0.2600 0.7551 -0.6018
0.1233 0.7783 -0.6157
-0.1616 0.7602 -0.6293
0.2500 0.7694 -0.5878
0.3201 0.7540 -0.5736
-0.0275 0.7875 -0.6157
0.0401 0.7650 -0.6428
0.1682 0.7913 -0.5878
0.1034 -0.8417 -0.5299
%Error with det active
Error using det
Matrix must be square.
%Latty and Lonny are 62x1 doubles
댓글 수: 2
Matt J
2023년 9월 5일
The error message seems self-explanatory. The disp() output clearly shows that your matrix is not square. Please explain what is unclear.
Dyuman Joshi
2023년 9월 5일
The error could not be more clear.
Do you have a way of defining determinant for non-square matrices?
답변 (1개)
Torsten
2023년 9월 5일
이동: Torsten
2023년 9월 5일
Latty = [
38
39
37
40
39
36
39
39
38
40
35
37
38
40
40
37
36
36
39
36
40
35
39
35
39
39
35
38
39
38
37
36
35
37
39
40
36
39
39
38
38
36
36
38
36
36
38
35
40
36
36
36
36
37
38
39
36
35
38
40
36
32];
Lonny = [
-117
-88
-112
-76
-110
-102
-88
-105
-88
-81
-84
-83
-118
-79
-96
-117
-106
-95
-83
-102
-78
-84
-91
-75
-75
-93
-98
-104
-108
-88
-80
-105
-86
-107
-106
-80
-110
-94
-107
-76
-104
-105
-104
-108
-96
-87
-117
-95
-102
-88
-91
-86
-80
-109
-99
-78
-108
-113
-88
-93
-102
0];
NED = arrayfun(@(Latty,Lonny)[ -sind(Latty).*cosd(Lonny) -sind(Latty).*sind(Lonny) cosd(Latty) ; -sind(Lonny) cosd(Lonny) 0 ; -cosd(Latty).*cosd(Lonny) -cosd(Latty).*sind(Lonny) -sind(Latty) ],Latty,Lonny,'UniformOutput',0);
detNED = arrayfun(@(i)det(NED{i}),1:numel(Latty))
댓글 수: 0
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