Combining vectors in a for loop to form a final matrix

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Scott Banks
Scott Banks el 20 de Jul. de 2023
Comentada: Mathieu NOE el 20 de Jul. de 2023
Hi there,
I am writing a script to solve problems using the Moment Distribution Method for structural analysis. I have 4 loops that generate row vectors. What I want to do is combine the final calculated vectors into one large matrix. Here is the code:
DF = [0 0.625 0.375 0.6 0.4 0];
FEM = [-10 10 -18 12 -16 16];
MBal = [FEM(2)+FEM(3) FEM(4)+FEM(5)];
if MBal < 0
MBal = abs(MBal);
end
Fdistribution = [0 DF(2:3)*MBal(1) DF(4:5)*MBal(2) 0];
for i = 1:4
Fdistribution([1,2,3,4,5,6]) = Fdistribution([2,1,4,3,6,5]);
Carry_over = Fdistribution./2;
idistribution = [ 0 Carry_over(3).*DF(2:3) Carry_over(4).*DF(4:5) 0];
if idistribution >= 0
idistribution = -idistribution;
else idistribution = abs(idistribution);
end
Fdistribution = idistribution;
if i == 4
idistribution(1) = idistribution(2)/2;
idistribution(6) = idistribution(5)/2;
end
Table = [Carry_over; idistribution]
end
Table = 2×6
2.5000 0 1.2000 1.5000 0 0.8000 0 -0.7500 -0.4500 -0.9000 -0.6000 0
Table = 2×6
-0.3750 0 -0.4500 -0.2250 0 -0.3000 0 0.2812 0.1687 0.1350 0.0900 0
Table = 2×6
0.1406 0 0.0675 0.0844 0 0.0450 0 -0.0422 -0.0253 -0.0506 -0.0337 0
Table = 2×6
-0.0211 0 -0.0253 -0.0127 0 -0.0169 0.0079 0.0158 0.0095 0.0076 0.0051 0.0025
Basically I want to combine the vector 'Table' so its displays all the Table vectors together. So, I would have a 8 by 6 matrix.
Can anybody help please? Then I can manipulate the matrix and sum up the columns.
Many thanks for any help.

Respuesta aceptada

Mathieu NOE
Mathieu NOE el 20 de Jul. de 2023
For small tables / arrays I don't pay too much attention to preallocation (but it's important if you are dealing with large data !!)
so the basic approach here is simply to concatenate your results
DF = [0 0.625 0.375 0.6 0.4 0];
FEM = [-10 10 -18 12 -16 16];
MBal = [FEM(2)+FEM(3) FEM(4)+FEM(5)];
tmp = [];
Table = [];
if MBal < 0
MBal = abs(MBal);
end
Fdistribution = [0 DF(2:3)*MBal(1) DF(4:5)*MBal(2) 0];
for i = 1:4
Fdistribution([1,2,3,4,5,6]) = Fdistribution([2,1,4,3,6,5]);
Carry_over = Fdistribution./2;
idistribution = [ 0 Carry_over(3).*DF(2:3) Carry_over(4).*DF(4:5) 0];
if idistribution >= 0
idistribution = -idistribution;
else idistribution = abs(idistribution);
end
Fdistribution = idistribution;
if i == 4
idistribution(1) = idistribution(2)/2;
idistribution(6) = idistribution(5)/2;
end
tmp = [Carry_over; idistribution];
Table = [Table; tmp];
end
Table
Table = 8×6
2.5000 0 1.2000 1.5000 0 0.8000 0 -0.7500 -0.4500 -0.9000 -0.6000 0 -0.3750 0 -0.4500 -0.2250 0 -0.3000 0 0.2812 0.1687 0.1350 0.0900 0 0.1406 0 0.0675 0.0844 0 0.0450 0 -0.0422 -0.0253 -0.0506 -0.0337 0 -0.0211 0 -0.0253 -0.0127 0 -0.0169 0.0079 0.0158 0.0095 0.0076 0.0051 0.0025
  2 comentarios
Scott Banks
Scott Banks el 20 de Jul. de 2023
Thank you very much for your help, Mathieu!

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