Build an implementation of a weighted graph ADT.
Use it to compute the shortest distance from two nodes, source and sink.

This is a sample graph on which to run your program; it is not a tree, hence no traversals are needed. You can start developing your program, assuming that the input takes the form of a number of arcs, along with their capacity. for example, if the nodes of the graph are US/CDN airports and the arcs represent airline connections and the capacity represents the seating capacity of different aircrafts (from a boeing 737 with about 120 seats to an airbus 380 with about 500 seats) then the input file may look like:



LAX ORD   500



... etc... and an application of your program would be: how many passengers can be shipped in one day from SFO to EWR via an arbitrary number of intermediate stops...

The output of your program would indicate how many passengers to put on each flight to maximize the flow from SFO to EWR. let me think about the details, but your program should not depend on what data I come up with.

You are free to choose the graph representation that you want. I recommend but do not mandate that you use the adjacency matrix, in which entries are used to store the distance between two nodes.

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public class graph {
    Vector<node> vertex;
    final int max_int = 9999999;
    public graph() {
       vertex = new Vector<>();
       @param :String name
       create a new node add to vertex
       return node that was create
    public node addNode(String name){
       node n = new node(name);
       return vertex.get(vertex.size() - 1);
       @param : tring sname
       return node invertex that has name
       return null if no node found
    public node getNode(String sname){
       for (node object : vertex) {
            if ( {
                return object;
       return null;      
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