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

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

Answer 1

[Voss]

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

[Pietro Fiondella]

Thanks a lot

[Voss]

You're welcome!