Neighbors recognition
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A quick guide issue: a cell which is surrounded by other cell and the neighboorhood is a criterion to a state transition.
In this first moment let assume that we are working on a double matrix n x n called L, where n = 10. So, we wonder the empty and occupied neighbors of a target cell which are placed in a given position. Thus the most important as aspects of this problem is the cell position into the matrix, we can figure it out by searching row and column or a linear index. I will work out here a minimal example with linear index because of the implementation which shares similarities in the end.
So let assign our cell with value 10, therefore.
A quick guide issue: a cell which is surrounded by other cell and the neighboorhood is a criterion to a state transition.
In this first moment let assume that we are working on a double matrix n x n called L, where n = 10. So, we wonder the empty and occupied neighbors of a target cell which are placed in a given position. Thus the most important as aspects of this problem is the cell position into the matrix, we can figure it out by searching row and column or a linear index. I will work out here a minimal example with linear index because of the implementation which shares similarities in the end.
So let assign our cell with value 10, therefore.
idxL = find(L==10)
Now we're going to sum our variable idxL which is assigned with the linear index with an auxiliar variable called auxV
auxV = [-n-1 -n -n+1 -1 1 n+1 n n-1]
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