How to obtain a matrix from the iterations of a for loop?

1 view (last 30 days)
Pietro Fiondella
Pietro Fiondella on 21 Jun 2022
Commented: Voss on 21 Jun 2022
Ran in:
I woud like to obtain a matrix C[84x24] with every row filled, by the moltiplication between each row af a Matrix A[7x24] by each element of vector B[1x12].
I am able to do it only by this loop with "cell command at the end but i'm looking for an easyer way .
A=[ 0.2167 0.2467 0.2520 0.2652 0.2661 0.2907 0.3498 0.4211 0.5348 0.5735 0.5242 0.4361 0.4810 0.5233 0.5365 0.5356 0.5533 0.7629 0.8317 0.8704 0.7770 0.7321 0.6563 0.5427
0.2406 0.2738 0.2797 0.2944 0.2954 0.3227 0.3883 0.4675 0.5936 0.6367 0.5819 0.4841 0.5340 0.5809 0.5956 0.5946 0.6142 0.8469 0.9232 0.9663 0.8626 0.8127 0.7286 0.6024
0.2440 0.2778 0.2837 0.2986 0.2996 0.3274 0.3938 0.4742 0.6021 0.6458 0.5902 0.4910 0.5416 0.5892 0.6041 0.6031 0.6230 0.8591 0.9364 0.9801 0.8749 0.8244 0.7390 0.6111
0.2453 0.2792 0.2851 0.3001 0.3011 0.3290 0.3958 0.4766 0.6052 0.6490 0.5932 0.4935 0.5444 0.5922 0.6072 0.6062 0.6261 0.8634 0.9412 0.9850 0.8794 0.8285 0.7428 0.6142
0.2453 0.2792 0.2851 0.3001 0.3011 0.3290 0.3958 0.4766 0.6052 0.6490 0.5932 0.4935 0.5444 0.5922 0.6072 0.6062 0.6261 0.8634 0.9412 0.9850 0.8794 0.8285 0.7428 0.6142
0.2448 0.2786 0.2846 0.2995 0.3005 0.3284 0.3950 0.4756 0.6040 0.6477 0.5920 0.4925 0.5433 0.5910 0.6060 0.6050 0.6249 0.8617 0.9393 0.9831 0.8776 0.8268 0.7413 0.6129
0.2369 0.2696 0.2754 0.2899 0.2908 0.3178 0.3823 0.4603 0.5845 0.6269 0.5730 0.4767 0.5258 0.5720 0.5865 0.5855 0.6048 0.8340 0.9091 0.9514 0.8494 0.8003 0.7174 0.5932];
B=[0.999; 0.992; 0.939; 0.850; 0.810; 0.803; 0.796; 0.792; 0.821; 0.929; 0.990; 1.000];
for j=1:12;
C=A*B(j);
cell_C{j}=C;
end
D=[cell_C{1,1};cell_C{1,2};cell_C{1,3};cell_C{1,4};cell_C{1,5};cell_C{1,6};cell_C{1,7};cell_C{1,8};cell_C{1,9};cell_C{1,10};cell_C{1,11};cell_C{1,12}];
D
D = 84×24
0.2165 0.2465 0.2517 0.2649 0.2658 0.2904 0.3495 0.4207 0.5343 0.5729 0.5237 0.4357 0.4805 0.5228 0.5360 0.5351 0.5527 0.7621 0.8309 0.8695 0.7762 0.7314 0.6556 0.5422 0.2404 0.2735 0.2794 0.2941 0.2951 0.3224 0.3879 0.4670 0.5930 0.6361 0.5813 0.4836 0.5335 0.5803 0.5950 0.5940 0.6136 0.8461 0.9223 0.9653 0.8617 0.8119 0.7279 0.6018 0.2438 0.2775 0.2834 0.2983 0.2993 0.3271 0.3934 0.4737 0.6015 0.6452 0.5896 0.4905 0.5411 0.5886 0.6035 0.6025 0.6224 0.8582 0.9355 0.9791 0.8740 0.8236 0.7383 0.6105 0.2451 0.2789 0.2848 0.2998 0.3008 0.3287 0.3954 0.4761 0.6046 0.6484 0.5926 0.4930 0.5439 0.5916 0.6066 0.6056 0.6255 0.8625 0.9403 0.9840 0.8785 0.8277 0.7421 0.6136 0.2451 0.2789 0.2848 0.2998 0.3008 0.3287 0.3954 0.4761 0.6046 0.6484 0.5926 0.4930 0.5439 0.5916 0.6066 0.6056 0.6255 0.8625 0.9403 0.9840 0.8785 0.8277 0.7421 0.6136 0.2446 0.2783 0.2843 0.2992 0.3002 0.3281 0.3946 0.4751 0.6034 0.6471 0.5914 0.4920 0.5428 0.5904 0.6054 0.6044 0.6243 0.8608 0.9384 0.9821 0.8767 0.8260 0.7406 0.6123 0.2367 0.2693 0.2751 0.2896 0.2905 0.3175 0.3819 0.4598 0.5839 0.6263 0.5724 0.4762 0.5253 0.5714 0.5859 0.5849 0.6042 0.8332 0.9082 0.9504 0.8486 0.7995 0.7167 0.5926 0.2150 0.2447 0.2500 0.2631 0.2640 0.2884 0.3470 0.4177 0.5305 0.5689 0.5200 0.4326 0.4772 0.5191 0.5322 0.5313 0.5489 0.7568 0.8250 0.8634 0.7708 0.7262 0.6510 0.5384 0.2387 0.2716 0.2775 0.2920 0.2930 0.3201 0.3852 0.4638 0.5889 0.6316 0.5772 0.4802 0.5297 0.5763 0.5908 0.5898 0.6093 0.8401 0.9158 0.9586 0.8557 0.8062 0.7228 0.5976 0.2420 0.2756 0.2814 0.2962 0.2972 0.3248 0.3906 0.4704 0.5973 0.6406 0.5855 0.4871 0.5373 0.5845 0.5993 0.5983 0.6180 0.8522 0.9289 0.9723 0.8679 0.8178 0.7331 0.6062

Sign in to answer this question.

Accepted Answer

Voss
Voss on 21 Jun 2022
Edited: Voss on 21 Jun 2022
Ran in:
Use kron.
A=[ 0.2167 0.2467 0.2520 0.2652 0.2661 0.2907 0.3498 0.4211 0.5348 0.5735 0.5242 0.4361 0.4810 0.5233 0.5365 0.5356 0.5533 0.7629 0.8317 0.8704 0.7770 0.7321 0.6563 0.5427
0.2406 0.2738 0.2797 0.2944 0.2954 0.3227 0.3883 0.4675 0.5936 0.6367 0.5819 0.4841 0.5340 0.5809 0.5956 0.5946 0.6142 0.8469 0.9232 0.9663 0.8626 0.8127 0.7286 0.6024
0.2440 0.2778 0.2837 0.2986 0.2996 0.3274 0.3938 0.4742 0.6021 0.6458 0.5902 0.4910 0.5416 0.5892 0.6041 0.6031 0.6230 0.8591 0.9364 0.9801 0.8749 0.8244 0.7390 0.6111
0.2453 0.2792 0.2851 0.3001 0.3011 0.3290 0.3958 0.4766 0.6052 0.6490 0.5932 0.4935 0.5444 0.5922 0.6072 0.6062 0.6261 0.8634 0.9412 0.9850 0.8794 0.8285 0.7428 0.6142
0.2453 0.2792 0.2851 0.3001 0.3011 0.3290 0.3958 0.4766 0.6052 0.6490 0.5932 0.4935 0.5444 0.5922 0.6072 0.6062 0.6261 0.8634 0.9412 0.9850 0.8794 0.8285 0.7428 0.6142
0.2448 0.2786 0.2846 0.2995 0.3005 0.3284 0.3950 0.4756 0.6040 0.6477 0.5920 0.4925 0.5433 0.5910 0.6060 0.6050 0.6249 0.8617 0.9393 0.9831 0.8776 0.8268 0.7413 0.6129
0.2369 0.2696 0.2754 0.2899 0.2908 0.3178 0.3823 0.4603 0.5845 0.6269 0.5730 0.4767 0.5258 0.5720 0.5865 0.5855 0.6048 0.8340 0.9091 0.9514 0.8494 0.8003 0.7174 0.5932];
B=[0.999; 0.992; 0.939; 0.850; 0.810; 0.803; 0.796; 0.792; 0.821; 0.929; 0.990; 1.000];
kron method:
D_test = kron(B,A)
D_test = 84×24
0.2165 0.2465 0.2517 0.2649 0.2658 0.2904 0.3495 0.4207 0.5343 0.5729 0.5237 0.4357 0.4805 0.5228 0.5360 0.5351 0.5527 0.7621 0.8309 0.8695 0.7762 0.7314 0.6556 0.5422 0.2404 0.2735 0.2794 0.2941 0.2951 0.3224 0.3879 0.4670 0.5930 0.6361 0.5813 0.4836 0.5335 0.5803 0.5950 0.5940 0.6136 0.8461 0.9223 0.9653 0.8617 0.8119 0.7279 0.6018 0.2438 0.2775 0.2834 0.2983 0.2993 0.3271 0.3934 0.4737 0.6015 0.6452 0.5896 0.4905 0.5411 0.5886 0.6035 0.6025 0.6224 0.8582 0.9355 0.9791 0.8740 0.8236 0.7383 0.6105 0.2451 0.2789 0.2848 0.2998 0.3008 0.3287 0.3954 0.4761 0.6046 0.6484 0.5926 0.4930 0.5439 0.5916 0.6066 0.6056 0.6255 0.8625 0.9403 0.9840 0.8785 0.8277 0.7421 0.6136 0.2451 0.2789 0.2848 0.2998 0.3008 0.3287 0.3954 0.4761 0.6046 0.6484 0.5926 0.4930 0.5439 0.5916 0.6066 0.6056 0.6255 0.8625 0.9403 0.9840 0.8785 0.8277 0.7421 0.6136 0.2446 0.2783 0.2843 0.2992 0.3002 0.3281 0.3946 0.4751 0.6034 0.6471 0.5914 0.4920 0.5428 0.5904 0.6054 0.6044 0.6243 0.8608 0.9384 0.9821 0.8767 0.8260 0.7406 0.6123 0.2367 0.2693 0.2751 0.2896 0.2905 0.3175 0.3819 0.4598 0.5839 0.6263 0.5724 0.4762 0.5253 0.5714 0.5859 0.5849 0.6042 0.8332 0.9082 0.9504 0.8486 0.7995 0.7167 0.5926 0.2150 0.2447 0.2500 0.2631 0.2640 0.2884 0.3470 0.4177 0.5305 0.5689 0.5200 0.4326 0.4772 0.5191 0.5322 0.5313 0.5489 0.7568 0.8250 0.8634 0.7708 0.7262 0.6510 0.5384 0.2387 0.2716 0.2775 0.2920 0.2930 0.3201 0.3852 0.4638 0.5889 0.6316 0.5772 0.4802 0.5297 0.5763 0.5908 0.5898 0.6093 0.8401 0.9158 0.9586 0.8557 0.8062 0.7228 0.5976 0.2420 0.2756 0.2814 0.2962 0.2972 0.3248 0.3906 0.4704 0.5973 0.6406 0.5855 0.4871 0.5373 0.5845 0.5993 0.5983 0.6180 0.8522 0.9289 0.9723 0.8679 0.8178 0.7331 0.6062
Compare to the cell array method:
for j=1:12;
C=A*B(j);
cell_C{j}=C;
end
D=vertcat(cell_C{:});
The result is the same:
isequal(D_test,D)
ans = logical
1

More Answers (0)

Categories

Find more on Matrix Indexing in Help Center and File Exchange

Tags

Products


Release

R2021b

Community Treasure Hunt

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

Start Hunting!