How can I transfer the results of a four-cycle iteration into a matrix with a row for each iteration?

1 vue (au cours des 30 derniers jours)
Pietro Fiondella
Pietro Fiondella le 21 Juin 2022
Commenté : Karim le 22 Juin 2022
Ran in:
Here is an example of my problem:
I have a Matrix- A (1x24) A[a1,1 a1,2 a1,3 ... a1,24 ], & a vector B[b1,1 b1,2 b1,3 ...b1,7]
i would to multiply each row of A by each element of B and obtain a Matrix C
C=[a11*b11 a12*b11 a13*b11 a14*b11;
a11*b21 a12*b21 a13*b21 a14*b21 a15*b21;
ecc........ ]
I tried this script, but i get only the last iteration as result.
A=[0.246 0.280 0.286 0.301 0.302 0.330 0.397 0.478 0.607 0.651 0.595 0.495 0.546 0.594 0.609 0.608 0.628 0.866 0.944 0.988 0.882 0.831 0.745 0.616];
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 i=1:7
C=A*B(i);
end
C
C = 1×24
0.1958 0.2229 0.2277 0.2396 0.2404 0.2627 0.3160 0.3805 0.4832 0.5182 0.4736 0.3940 0.4346 0.4728 0.4848 0.4840 0.4999 0.6893 0.7514 0.7864 0.7021 0.6615 0.5930 0.4903

Connectez-vous pour répondre à cette question.

Réponse acceptée

Karim
Karim le 21 Juin 2022
Ran in:
hello, if you want to use the for loop you need to index the rows
A=[0.246 0.280 0.286 0.301 0.302 0.330 0.397 0.478 0.607 0.651 0.595 0.495 0.546 0.594 0.609 0.608 0.628 0.866 0.944 0.988 0.882 0.831 0.745 0.616];
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];
C = zeros(size(B,1),size(A,2));
for i = 1:size(B,1)
C(i,:) = A * B(i);
end
% print the result
C
C = 12×24
0.2458 0.2797 0.2857 0.3007 0.3017 0.3297 0.3966 0.4775 0.6064 0.6503 0.5944 0.4945 0.5455 0.5934 0.6084 0.6074 0.6274 0.8651 0.9431 0.9870 0.8811 0.8302 0.7443 0.6154 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 0.2310 0.2629 0.2686 0.2826 0.2836 0.3099 0.3728 0.4488 0.5700 0.6113 0.5587 0.4648 0.5127 0.5578 0.5719 0.5709 0.5897 0.8132 0.8864 0.9277 0.8282 0.7803 0.6996 0.5784 0.2091 0.2380 0.2431 0.2558 0.2567 0.2805 0.3375 0.4063 0.5160 0.5534 0.5057 0.4208 0.4641 0.5049 0.5176 0.5168 0.5338 0.7361 0.8024 0.8398 0.7497 0.7063 0.6332 0.5236 0.1993 0.2268 0.2317 0.2438 0.2446 0.2673 0.3216 0.3872 0.4917 0.5273 0.4819 0.4010 0.4423 0.4811 0.4933 0.4925 0.5087 0.7015 0.7646 0.8003 0.7144 0.6731 0.6035 0.4990 0.1975 0.2248 0.2297 0.2417 0.2425 0.2650 0.3188 0.3838 0.4874 0.5228 0.4778 0.3975 0.4384 0.4770 0.4890 0.4882 0.5043 0.6954 0.7580 0.7934 0.7082 0.6673 0.5982 0.4946 0.1958 0.2229 0.2277 0.2396 0.2404 0.2627 0.3160 0.3805 0.4832 0.5182 0.4736 0.3940 0.4346 0.4728 0.4848 0.4840 0.4999 0.6893 0.7514 0.7864 0.7021 0.6615 0.5930 0.4903 0.1948 0.2218 0.2265 0.2384 0.2392 0.2614 0.3144 0.3786 0.4807 0.5156 0.4712 0.3920 0.4324 0.4704 0.4823 0.4815 0.4974 0.6859 0.7476 0.7825 0.6985 0.6582 0.5900 0.4879 0.2020 0.2299 0.2348 0.2471 0.2479 0.2709 0.3259 0.3924 0.4983 0.5345 0.4885 0.4064 0.4483 0.4877 0.5000 0.4992 0.5156 0.7110 0.7750 0.8111 0.7241 0.6823 0.6116 0.5057 0.2285 0.2601 0.2657 0.2796 0.2806 0.3066 0.3688 0.4441 0.5639 0.6048 0.5528 0.4599 0.5072 0.5518 0.5658 0.5648 0.5834 0.8045 0.8770 0.9179 0.8194 0.7720 0.6921 0.5723
alternatively, you can do it as a oneliner:
C2 = B .* A
C2 = 12×24
0.2458 0.2797 0.2857 0.3007 0.3017 0.3297 0.3966 0.4775 0.6064 0.6503 0.5944 0.4945 0.5455 0.5934 0.6084 0.6074 0.6274 0.8651 0.9431 0.9870 0.8811 0.8302 0.7443 0.6154 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 0.2310 0.2629 0.2686 0.2826 0.2836 0.3099 0.3728 0.4488 0.5700 0.6113 0.5587 0.4648 0.5127 0.5578 0.5719 0.5709 0.5897 0.8132 0.8864 0.9277 0.8282 0.7803 0.6996 0.5784 0.2091 0.2380 0.2431 0.2558 0.2567 0.2805 0.3375 0.4063 0.5160 0.5534 0.5057 0.4208 0.4641 0.5049 0.5176 0.5168 0.5338 0.7361 0.8024 0.8398 0.7497 0.7063 0.6332 0.5236 0.1993 0.2268 0.2317 0.2438 0.2446 0.2673 0.3216 0.3872 0.4917 0.5273 0.4819 0.4010 0.4423 0.4811 0.4933 0.4925 0.5087 0.7015 0.7646 0.8003 0.7144 0.6731 0.6035 0.4990 0.1975 0.2248 0.2297 0.2417 0.2425 0.2650 0.3188 0.3838 0.4874 0.5228 0.4778 0.3975 0.4384 0.4770 0.4890 0.4882 0.5043 0.6954 0.7580 0.7934 0.7082 0.6673 0.5982 0.4946 0.1958 0.2229 0.2277 0.2396 0.2404 0.2627 0.3160 0.3805 0.4832 0.5182 0.4736 0.3940 0.4346 0.4728 0.4848 0.4840 0.4999 0.6893 0.7514 0.7864 0.7021 0.6615 0.5930 0.4903 0.1948 0.2218 0.2265 0.2384 0.2392 0.2614 0.3144 0.3786 0.4807 0.5156 0.4712 0.3920 0.4324 0.4704 0.4823 0.4815 0.4974 0.6859 0.7476 0.7825 0.6985 0.6582 0.5900 0.4879 0.2020 0.2299 0.2348 0.2471 0.2479 0.2709 0.3259 0.3924 0.4983 0.5345 0.4885 0.4064 0.4483 0.4877 0.5000 0.4992 0.5156 0.7110 0.7750 0.8111 0.7241 0.6823 0.6116 0.5057 0.2285 0.2601 0.2657 0.2796 0.2806 0.3066 0.3688 0.4441 0.5639 0.6048 0.5528 0.4599 0.5072 0.5518 0.5658 0.5648 0.5834 0.8045 0.8770 0.9179 0.8194 0.7720 0.6921 0.5723
  3 commentaires
Afficher 1 commentaire plus ancien
Pietro Fiondella
Pietro Fiondella le 21 Juin 2022
Ran in:
I mean that i wloud obtain a matrix E that should be with every row filled with the moltiplication between eac row af C and each element of D
A=[0.246 0.280 0.286 0.301 0.302 0.330 0.397 0.478 0.607 0.651 0.595 0.495 0.546 0.594 0.609 0.608 0.628 0.866 0.944 0.988 0.882 0.831 0.745 0.616];
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];
C = zeros(size(B,1),size(A,2));
for i = 1:size(B,1)
C(i,:) = A * B(i);
end
E=[c1,1*d11 c1,2*d1,1 c1,3*d1,1.....;
c1,1*d1,2 c1,2*d1,2 c1,3*d1,1......
............................................
c2,1*d1,1 c2,2*d1,1 c2,3*d1,1
c2,1*d2,1 c2,1*d2,1 c2,3*d2,1
and so on ]
I was able to do it only by this loop but i'm searching for an easyer way
D=[ 0.9990 0.9920 0.9390 0.8500 0.8100 0.8030 0.7960 0.7920 0.8210 0.9290 0.9900 1.0000];
for j=1:12;
E1=C*D(j);
cell_E1{j}=E1;
end
E=[cell_E1{1,1};cell_E1{1,2};cell_E1{1,3};cell_E1{1,4};cell_E1{1,5};cell_E1{1,6};cell_E1{1,7};cell_E1{1,8};cell_E1{1,9};cell_E1{1,10};cell_E1{1,11};cell_E1{1,12}];
A=cell_E1{1,1}
A = 12×24
0.2455 0.2794 0.2854 0.3004 0.3014 0.3293 0.3962 0.4770 0.6058 0.6497 0.5938 0.4940 0.5449 0.5928 0.6078 0.6068 0.6267 0.8643 0.9421 0.9860 0.8802 0.8293 0.7435 0.6148 0.2438 0.2775 0.2834 0.2983 0.2993 0.3270 0.3934 0.4737 0.6015 0.6451 0.5896 0.4905 0.5411 0.5887 0.6035 0.6025 0.6224 0.8582 0.9355 0.9791 0.8741 0.8235 0.7383 0.6105 0.2308 0.2627 0.2683 0.2824 0.2833 0.3096 0.3724 0.4484 0.5694 0.6107 0.5581 0.4643 0.5122 0.5572 0.5713 0.5703 0.5891 0.8124 0.8855 0.9268 0.8274 0.7795 0.6989 0.5778 0.2089 0.2378 0.2429 0.2556 0.2564 0.2802 0.3371 0.4059 0.5154 0.5528 0.5052 0.4203 0.4636 0.5044 0.5171 0.5163 0.5333 0.7354 0.8016 0.8390 0.7490 0.7056 0.6326 0.5231 0.1991 0.2266 0.2314 0.2436 0.2444 0.2670 0.3212 0.3868 0.4912 0.5268 0.4815 0.4005 0.4418 0.4807 0.4928 0.4920 0.5082 0.7008 0.7639 0.7995 0.7137 0.6724 0.6028 0.4985 0.1973 0.2246 0.2294 0.2415 0.2423 0.2647 0.3185 0.3835 0.4869 0.5222 0.4773 0.3971 0.4380 0.4765 0.4885 0.4877 0.5038 0.6947 0.7573 0.7926 0.7075 0.6666 0.5976 0.4942 0.1956 0.2227 0.2274 0.2394 0.2402 0.2624 0.3157 0.3801 0.4827 0.5177 0.4731 0.3936 0.4342 0.4724 0.4843 0.4835 0.4994 0.6886 0.7507 0.7857 0.7014 0.6608 0.5924 0.4898 0.1946 0.2215 0.2263 0.2382 0.2389 0.2611 0.3141 0.3782 0.4803 0.5151 0.4708 0.3916 0.4320 0.4700 0.4818 0.4811 0.4969 0.6852 0.7469 0.7817 0.6978 0.6575 0.5894 0.4874 0.2018 0.2297 0.2346 0.2469 0.2477 0.2707 0.3256 0.3920 0.4978 0.5339 0.4880 0.4060 0.4478 0.4872 0.4995 0.4987 0.5151 0.7103 0.7742 0.8103 0.7234 0.6816 0.6110 0.5052 0.2283 0.2599 0.2654 0.2793 0.2803 0.3063 0.3684 0.4436 0.5633 0.6042 0.5522 0.4594 0.5067 0.5513 0.5652 0.5643 0.5828 0.8037 0.8761 0.9169 0.8186 0.7712 0.6914 0.5717
Karim
Karim le 22 Juin 2022
Ran in:
yes you can find the code below, both using a for loop and as one liners.
A = [0.246 0.280 0.286 0.301 0.302 0.330 0.397 0.478 0.607 0.651 0.595 0.495 0.546 0.594 0.609 0.608 0.628 0.866 0.944 0.988 0.882 0.831 0.745 0.616];
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];
C = zeros(size(B,1),size(A,2));
for i = 1:numel(B)
C(i,:) = A * B(i);
end
D = [0.9990 0.9920 0.9390 0.8500 0.8100 0.8030 0.7960 0.7920 0.8210 0.9290 0.9900 1.0000];
E = zeros(numel(D)*size(C,1), size(C,2));
for i = 1:numel(D)
currIdx = (i-1)*size(C,1)+(1:size(C,1));
E(currIdx,:) = C*D(i);
end
E
E = 144×24
0.2455 0.2794 0.2854 0.3004 0.3014 0.3293 0.3962 0.4770 0.6058 0.6497 0.5938 0.4940 0.5449 0.5928 0.6078 0.6068 0.6267 0.8643 0.9421 0.9860 0.8802 0.8293 0.7435 0.6148 0.2438 0.2775 0.2834 0.2983 0.2993 0.3270 0.3934 0.4737 0.6015 0.6451 0.5896 0.4905 0.5411 0.5887 0.6035 0.6025 0.6224 0.8582 0.9355 0.9791 0.8741 0.8235 0.7383 0.6105 0.2308 0.2627 0.2683 0.2824 0.2833 0.3096 0.3724 0.4484 0.5694 0.6107 0.5581 0.4643 0.5122 0.5572 0.5713 0.5703 0.5891 0.8124 0.8855 0.9268 0.8274 0.7795 0.6989 0.5778 0.2089 0.2378 0.2429 0.2556 0.2564 0.2802 0.3371 0.4059 0.5154 0.5528 0.5052 0.4203 0.4636 0.5044 0.5171 0.5163 0.5333 0.7354 0.8016 0.8390 0.7490 0.7056 0.6326 0.5231 0.1991 0.2266 0.2314 0.2436 0.2444 0.2670 0.3212 0.3868 0.4912 0.5268 0.4815 0.4005 0.4418 0.4807 0.4928 0.4920 0.5082 0.7008 0.7639 0.7995 0.7137 0.6724 0.6028 0.4985 0.1973 0.2246 0.2294 0.2415 0.2423 0.2647 0.3185 0.3835 0.4869 0.5222 0.4773 0.3971 0.4380 0.4765 0.4885 0.4877 0.5038 0.6947 0.7573 0.7926 0.7075 0.6666 0.5976 0.4942 0.1956 0.2227 0.2274 0.2394 0.2402 0.2624 0.3157 0.3801 0.4827 0.5177 0.4731 0.3936 0.4342 0.4724 0.4843 0.4835 0.4994 0.6886 0.7507 0.7857 0.7014 0.6608 0.5924 0.4898 0.1946 0.2215 0.2263 0.2382 0.2389 0.2611 0.3141 0.3782 0.4803 0.5151 0.4708 0.3916 0.4320 0.4700 0.4818 0.4811 0.4969 0.6852 0.7469 0.7817 0.6978 0.6575 0.5894 0.4874 0.2018 0.2297 0.2346 0.2469 0.2477 0.2707 0.3256 0.3920 0.4978 0.5339 0.4880 0.4060 0.4478 0.4872 0.4995 0.4987 0.5151 0.7103 0.7742 0.8103 0.7234 0.6816 0.6110 0.5052 0.2283 0.2599 0.2654 0.2793 0.2803 0.3063 0.3684 0.4436 0.5633 0.6042 0.5522 0.4594 0.5067 0.5513 0.5652 0.5643 0.5828 0.8037 0.8761 0.9169 0.8186 0.7712 0.6914 0.5717
or as a one liner
C = B.*A;
E = kron(D',C)
E = 144×24
0.2455 0.2794 0.2854 0.3004 0.3014 0.3293 0.3962 0.4770 0.6058 0.6497 0.5938 0.4940 0.5449 0.5928 0.6078 0.6068 0.6267 0.8643 0.9421 0.9860 0.8802 0.8293 0.7435 0.6148 0.2438 0.2775 0.2834 0.2983 0.2993 0.3270 0.3934 0.4737 0.6015 0.6451 0.5896 0.4905 0.5411 0.5887 0.6035 0.6025 0.6224 0.8582 0.9355 0.9791 0.8741 0.8235 0.7383 0.6105 0.2308 0.2627 0.2683 0.2824 0.2833 0.3096 0.3724 0.4484 0.5694 0.6107 0.5581 0.4643 0.5122 0.5572 0.5713 0.5703 0.5891 0.8124 0.8855 0.9268 0.8274 0.7795 0.6989 0.5778 0.2089 0.2378 0.2429 0.2556 0.2564 0.2802 0.3371 0.4059 0.5154 0.5528 0.5052 0.4203 0.4636 0.5044 0.5171 0.5163 0.5333 0.7354 0.8016 0.8390 0.7490 0.7056 0.6326 0.5231 0.1991 0.2266 0.2314 0.2436 0.2444 0.2670 0.3212 0.3868 0.4912 0.5268 0.4815 0.4005 0.4418 0.4807 0.4928 0.4920 0.5082 0.7008 0.7639 0.7995 0.7137 0.6724 0.6028 0.4985 0.1973 0.2246 0.2294 0.2415 0.2423 0.2647 0.3185 0.3835 0.4869 0.5222 0.4773 0.3971 0.4380 0.4765 0.4885 0.4877 0.5038 0.6947 0.7573 0.7926 0.7075 0.6666 0.5976 0.4942 0.1956 0.2227 0.2274 0.2394 0.2402 0.2624 0.3157 0.3801 0.4827 0.5177 0.4731 0.3936 0.4342 0.4724 0.4843 0.4835 0.4994 0.6886 0.7507 0.7857 0.7014 0.6608 0.5924 0.4898 0.1946 0.2215 0.2263 0.2382 0.2389 0.2611 0.3141 0.3782 0.4803 0.5151 0.4708 0.3916 0.4320 0.4700 0.4818 0.4811 0.4969 0.6852 0.7469 0.7817 0.6978 0.6575 0.5894 0.4874 0.2018 0.2297 0.2346 0.2469 0.2477 0.2707 0.3256 0.3920 0.4978 0.5339 0.4880 0.4060 0.4478 0.4872 0.4995 0.4987 0.5151 0.7103 0.7742 0.8103 0.7234 0.6816 0.6110 0.5052 0.2283 0.2599 0.2654 0.2793 0.2803 0.3063 0.3684 0.4436 0.5633 0.6042 0.5522 0.4594 0.5067 0.5513 0.5652 0.5643 0.5828 0.8037 0.8761 0.9169 0.8186 0.7712 0.6914 0.5717

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Matrix Indexing dans Help Center et File Exchange

Tags

Produits


Version

R2021b

Community Treasure Hunt

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

Start Hunting!

Translated by