multiply vector of (2x1) to each of the (2x2) matrix in a (2x2x145) double data

3 Ansichten (letzte 30 Tage)
I want to multiply a vector of (2x1) to each of the (2x2) matrix in a (2x2x145) double data,F. (the result is variable K).
M1 = [2 0;0 2];
M2 = [0 2;1 3];
M3 = [0 1;2 3];
M4 = [0 0;0 4];
F0 = [2 0;0 2];
odefun = @(t,y) part_a(t,y,M1,M2,M3,M4);
tspan = [10 0];
[T,F] = ode45(odefun,tspan,F0(:));
F = reshape(F.',2,2,[]);
K=(1/2)*[0 -2]*F;
Error using *
Arguments must be 2-D, or at least one argument must be scalar. Use TIMES (.*) for elementwise multiplication, use PAGEMTIMES to apply matrix multiplication to the pages of N-D arrays, or use
TENSORPROD to find a product between two N-D arrays.
function dy = part_a(t,y,M1,M2,M3,M4)
F = reshape(y,size(M1));
FA = -M1-M2*F-F*M3+F*M4*F;
dy = FA(:);
end

Akzeptierte Antwort

Stephen23
Stephen23 am 10 Nov. 2022
Bearbeitet: Stephen23 am 10 Nov. 2022
"I want to multiply a vector of (2x1) to each of the (2x2) matrix in a (2x2x145) double data,F."
M1 = [2 0;0 2];
M2 = [0 2;1 3];
M3 = [0 1;2 3];
M4 = [0 0;0 4];
F0 = [2 0;0 2];
odefun = @(t,y) part_a(t,y,M1,M2,M3,M4);
tspan = [10 0];
[T,F] = ode45(odefun,tspan,F0(:));
F = reshape(F.',2,2,[]);
K=(1/2)*pagemtimes([0,-2],F)
K =
K(:,:,1) = 0 -2 K(:,:,2) = -0.0001 -2.0000 K(:,:,3) = -0.0001 -2.0000 K(:,:,4) = -0.0002 -1.9999 K(:,:,5) = -0.0002 -1.9999 K(:,:,6) = -0.0005 -1.9998 K(:,:,7) = -0.0007 -1.9998 K(:,:,8) = -0.0010 -1.9997 K(:,:,9) = -0.0012 -1.9996 K(:,:,10) = -0.0025 -1.9992 K(:,:,11) = -0.0037 -1.9988 K(:,:,12) = -0.0050 -1.9984 K(:,:,13) = -0.0062 -1.9979 K(:,:,14) = -0.0124 -1.9959 K(:,:,15) = -0.0186 -1.9939 K(:,:,16) = -0.0248 -1.9919 K(:,:,17) = -0.0309 -1.9900 K(:,:,18) = -0.0611 -1.9808 K(:,:,19) = -0.0904 -1.9723 K(:,:,20) = -0.1190 -1.9646 K(:,:,21) = -0.1469 -1.9575 K(:,:,22) = -0.2626 -1.9331 K(:,:,23) = -0.3673 -1.9182 K(:,:,24) = -0.4625 -1.9106 K(:,:,25) = -0.5495 -1.9083 K(:,:,26) = -0.6483 -1.9103 K(:,:,27) = -0.7367 -1.9167 K(:,:,28) = -0.8160 -1.9261 K(:,:,29) = -0.8869 -1.9371 K(:,:,30) = -0.9620 -1.9508 K(:,:,31) = -1.0272 -1.9648 K(:,:,32) = -1.0834 -1.9787 K(:,:,33) = -1.1316 -1.9916 K(:,:,34) = -1.1806 -2.0053 K(:,:,35) = -1.2208 -2.0174 K(:,:,36) = -1.2535 -2.0279 K(:,:,37) = -1.2799 -2.0368 K(:,:,38) = -1.3060 -2.0456 K(:,:,39) = -1.3255 -2.0525 K(:,:,40) = -1.3400 -2.0580 K(:,:,41) = -1.3507 -2.0622 K(:,:,42) = -1.3608 -2.0660 K(:,:,43) = -1.3672 -2.0686 K(:,:,44) = -1.3708 -2.0704 K(:,:,45) = -1.3727 -2.0715 K(:,:,46) = -1.3739 -2.0721 K(:,:,47) = -1.3743 -2.0724 K(:,:,48) = -1.3742 -2.0726 K(:,:,49) = -1.3738 -2.0727 K(:,:,50) = -1.3730 -2.0724 K(:,:,51) = -1.3722 -2.0722 K(:,:,52) = -1.3715 -2.0724 K(:,:,53) = -1.3708 -2.0724 K(:,:,54) = -1.3698 -2.0718 K(:,:,55) = -1.3691 -2.0715 K(:,:,56) = -1.3691 -2.0720 K(:,:,57) = -1.3690 -2.0722 K(:,:,58) = -1.3679 -2.0712 K(:,:,59) = -1.3674 -2.0709 K(:,:,60) = -1.3678 -2.0717 K(:,:,61) = -1.3681 -2.0723 K(:,:,62) = -1.3669 -2.0710 K(:,:,63) = -1.3664 -2.0705 K(:,:,64) = -1.3671 -2.0716 K(:,:,65) = -1.3676 -2.0723 K(:,:,66) = -1.3666 -2.0712 K(:,:,67) = -1.3662 -2.0707 K(:,:,68) = -1.3667 -2.0715 K(:,:,69) = -1.3671 -2.0720 K(:,:,70) = -1.3664 -2.0712 K(:,:,71) = -1.3661 -2.0709 K(:,:,72) = -1.3664 -2.0714 K(:,:,73) = -1.3667 -2.0717 K(:,:,74) = -1.3662 -2.0711 K(:,:,75) = -1.3660 -2.0709 K(:,:,76) = -1.3663 -2.0713 K(:,:,77) = -1.3665 -2.0716 K(:,:,78) = -1.3659 -2.0709 K(:,:,79) = -1.3657 -2.0706 K(:,:,80) = -1.3662 -2.0714 K(:,:,81) = -1.3666 -2.0718 K(:,:,82) = -1.3657 -2.0707 K(:,:,83) = -1.3654 -2.0703 K(:,:,84) = -1.3663 -2.0714 K(:,:,85) = -1.3668 -2.0721 K(:,:,86) = -1.3658 -2.0709 K(:,:,87) = -1.3655 -2.0704 K(:,:,88) = -1.3662 -2.0714 K(:,:,89) = -1.3667 -2.0721 K(:,:,90) = -1.3660 -2.0712 K(:,:,91) = -1.3657 -2.0708 K(:,:,92) = -1.3662 -2.0713 K(:,:,93) = -1.3665 -2.0717 K(:,:,94) = -1.3660 -2.0711 K(:,:,95) = -1.3658 -2.0709 K(:,:,96) = -1.3661 -2.0713 K(:,:,97) = -1.3663 -2.0716 K(:,:,98) = -1.3659 -2.0710 K(:,:,99) = -1.3657 -2.0707 K(:,:,100) = -1.3661 -2.0713 K(:,:,101) = -1.3664 -2.0717 K(:,:,102) = -1.3657 -2.0707 K(:,:,103) = -1.3654 -2.0704 K(:,:,104) = -1.3662 -2.0714 K(:,:,105) = -1.3667 -2.0720 K(:,:,106) = -1.3657 -2.0707 K(:,:,107) = -1.3653 -2.0703 K(:,:,108) = -1.3662 -2.0714 K(:,:,109) = -1.3668 -2.0722 K(:,:,110) = -1.3659 -2.0711 K(:,:,111) = -1.3656 -2.0706 K(:,:,112) = -1.3662 -2.0714 K(:,:,113) = -1.3666 -2.0719 K(:,:,114) = -1.3660 -2.0712 K(:,:,115) = -1.3658 -2.0709 K(:,:,116) = -1.3661 -2.0713 K(:,:,117) = -1.3664 -2.0716 K(:,:,118) = -1.3659 -2.0710 K(:,:,119) = -1.3658 -2.0708 K(:,:,120) = -1.3661 -2.0713 K(:,:,121) = -1.3663 -2.0716 K(:,:,122) = -1.3658 -2.0708 K(:,:,123) = -1.3656 -2.0706 K(:,:,124) = -1.3662 -2.0713 K(:,:,125) = -1.3665 -2.0718 K(:,:,126) = -1.3656 -2.0706 K(:,:,127) = -1.3653 -2.0702 K(:,:,128) = -1.3662 -2.0714 K(:,:,129) = -1.3668 -2.0722 K(:,:,130) = -1.3658 -2.0709 K(:,:,131) = -1.3654 -2.0704 K(:,:,132) = -1.3662 -2.0714 K(:,:,133) = -1.3667 -2.0721 K(:,:,134) = -1.3660 -2.0712 K(:,:,135) = -1.3657 -2.0708 K(:,:,136) = -1.3662 -2.0713 K(:,:,137) = -1.3664 -2.0717 K(:,:,138) = -1.3660 -2.0711 K(:,:,139) = -1.3658 -2.0709 K(:,:,140) = -1.3661 -2.0713 K(:,:,141) = -1.3663 -2.0716 K(:,:,142) = -1.3663 -2.0715 K(:,:,143) = -1.3662 -2.0714 K(:,:,144) = -1.3662 -2.0714 K(:,:,145) = -1.3661 -2.0713
function dy = part_a(t,y,M1,M2,M3,M4)
F = reshape(y,size(M1));
FA = -M1-M2*F-F*M3+F*M4*F;
dy = FA(:);
end

Weitere Antworten (0)

Kategorien

Mehr zu Linear Algebra finden Sie in Help Center und File Exchange

Produkte


Version

R2020b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by