In Set 1, unweighted graph is discussed. In this post, weighted graph representation using STL is discussed. The implementation is for adjacency list representation of weighted graph.
We use two STL containers to represent graph:
- vector : A sequence container. Here we use it to store adjacency lists of all vertices. We use vertex number as index in this vector.
- pair : A simple container to store pair of elements. Here we use it to store adjacent vertex number and weight of edge connecting to the adjacent.
The idea is to use a vector of pair vectors. Below code implements the same.
Node 0 makes an edge with Node 1 with edge weight =10 Node 4 with edge weight =20 Node 1 makes an edge with Node 0 with edge weight =10 Node 2 with edge weight =30 Node 3 with edge weight =40 Node 4 with edge weight =50 Node 2 makes an edge with Node 1 with edge weight =30 Node 3 with edge weight =60 Node 3 makes an edge with Node 1 with edge weight =40 Node 2 with edge weight =60 Node 4 with edge weight =70 Node 4 makes an edge with Node 0 with edge weight =20 Node 1 with edge weight =50 Node 3 with edge weight =70
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- Convert the undirected graph into directed graph such that there is no path of length greater than 1
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- Longest path in a directed Acyclic graph | Dynamic Programming
- How can competitive programming help you get a job?
- What is Competitive Programming and How to Prepare for It?
- Fast I/O for Competitive Programming
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- C++ tricks for competitive programming (for C++ 11)
Improved By : Ritesh Ghorse