Cell in cell in cell...... versus multiDimensional cell

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Xh Du
Xh Du 2017-3-27
评论： Xh Du 2017-3-27
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 个评论
KSSV
KSSV 2017-3-27
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.

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Stephen23
Stephen23 2017-3-27
编辑：Stephen23 2017-3-27
Assuming that the subarrays can be joined together in one multi-dimensional array, then the multi-dimensional array is better. Some reasons are:
  • you can use indexing to access elements -> faster and neater code.
  • you can use vectorized code -> faster and neater code.
  • simpler data arrangement -> simpler code -> fewer bugs.
  • more generalized code -> more adaptable code -> more useful code.
  • lower memory requirements.
  • fewer brackets -> easier to read -> fewer bugs.
  • does not require loops.
However if the data arrays have quite different sizes or types then nested arrays may be appropriate. Planning how to arrange data is just like planning how to write code: simpler code is better than more complicated code that performs the same function, and likewise for your data: Keep It Simple Stupid.
Summary: in general the simpler the data storage the better the code will be.
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Stephen23
Stephen23 2017-3-27
"documented extensively" means that you need to explain what your code is doing: code comments are part of this, as are clearly describing input and output arguments of functions. For an N-dimensional array "documented extensively" would probably include explaining its type, what each of its dimensions represent, and anything relevant about the data.

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Jan
Jan 2017-3-27
编辑：Jan 2017-3-27
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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Xh Du
Xh Du 2017-3-27
I would like to accept your answer too but since I cannot do it I'll vote up for yours.

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