Memory usage depends on the number of edges (not number of nodes),
which might save a lot of memory if the adjacency matrix is sparse
Finding the presence or absence of specific edge between any two nodes
is slightly slower than with the matrix O(k); where k is the number of neighbors nodes
It is fast to iterate over all edges because you can access any node neighbors directly
It is fast to add/delete a node; easier than the matrix representation
Hello all :) Today I am refining my skills on graph theory and data structures. I decided to do a small project in C++ because it's been a while since I've worked in C++.
I want to make an adjacency list …
Here is an SO post of an adjacency list. However I see no difference from a single-linked list? Also here is a wikipedia article which says that it is all the edges (of a graph, discrete math type) in a …
I am the developer of some family tree software (written in C++ and Qt). I had no problems until one of my customers mailed me a bug report. The problem is that the customer has two children with their own …