Cell in cell in cell...... versus multiDimensional cell
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Hi all,
Imagine now I have some data to be stored, say there are 24 matrices I need to store. I have 2 choices:
1. use cell in cell, e.g.
>> a
a =
{3x1 cell}
{3x1 cell}
>> a{1}
ans =
{4x1 cell}
{4x1 cell}
{4x1 cell}
>> a{1}{1}
ans =
[]
[]
[]
[]
2. use a multiDimensional cell, e.g.
>> a = cell(2, 3, 4)
a(:,:,1) =
[] [] []
[] [] []
a(:,:,2) =
[] [] []
[] [] []
a(:,:,3) =
[] [] []
[] [] []
a(:,:,4) =
[] [] []
[] [] []
and store each matrix in each cell element.
Which one is better and why? Personally I like the second way because it's clearer. The first way always confuses me.
1 Comment
KSSV
on 27 Mar 2017
How you store depends on how you are access at the time of calculation. If you want to use two loops/ two dimensional then matrix wise is better. If only one loop then column or row wise cell is better.
Accepted Answer
More Answers (1)
If the first way confuses you, the question is answered already: Stay away from confusing solutions.
Efficiency is important for programming. You can define it as the time required to solve a problem:
Total time = design time + programming time + debug time + run time
If the run time is optimized on the costs of the programming and debug time, the total time might grow. So even if the first method would be faster, the reduced clarity is a knock out criterion.
The decision for a clear and efficient data representation is art. Experiences are required to decide this. Frequently, the demands for a data structure changes during larger projects. Therefore it is a good programming practice to keep the data access separated ("encapsulated"), such that it can be exchanged easily.
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