Dear all, given that I didn't succeed in finding the correct solution for my problem, I will expose it to all of you, to find the skilled one who knows how to solve it. I must create a collection class to store object of a class I created which is, essentially, an experimental point of a detector. This detector (ALICE ITS) is made of 6 sensible layers, so, for each point, i get not only its coordinates, but also its layer. Then, I must use these points to create some simple segments, linking them in couples, for each couple which satisfies some criterions. Just to know which is the criterion, I can say that I need that two points differ by 1 in the layer value (it's integer), and not more than a certain value in the phi and theta polar coordinates. Because I have to deal with many points, I would like to organize them in a mesh, divided in sectors with respect to the azymuthal (phi) angle, in order to have a fast retrieving of only the points I need. But the only collection class I am able to use well i the TObjArray, so I was obliged to construct, in my class, objects like " TObjArray **fUnits[6]" say a pointer for a matrix of TObjArrays. It seems too strange that there isn't a method to organize these points in a better way. I am sure that it's possible to use a collection class (that I don't know) where I can store all points maintaining a criterion to find the ones which are contained at least in a certain layer and a certain phi sector, in order to avoid to confront all the couples that are certainly not linkable. And all this without the terrible memory leaks that I had in my previous trials... I hope to have been clear in my explanation. I have guessed a solution: tha THashTable, but I'm not sure that It could work well for me, because (you can believe it?) I don't know well in what consists the "hashing" of a collection. If there is someone who uses these particular collections (maps, haslists, etc.), I will be grateful for knowing how they work, and for which kind of problems they are used. Thanks Alberto
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