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Project - Weighted and undirected graph model - 11/2020

The project implements a Weighted and undirected graph model, using data structures including HashMaps to represent the nodes and neighborhood relationships between them.

This graph functions include:

  • Saving the graph into a file
  • Loading a graph from a file
  • Find the shortest route between two nodes using Dijkstra's algorithm, implemented by a queue
  • Returning the shortest path's between two nodes weight
  • Adding and deleting nodes to a graph
  • Add and delete neighbors to nodes in the graph
  • Receiving the neighbors of a particular junction
  • Adding information to the nodes themselves, in two information values ("variables") for each node
  • Checking the connectivity of the graph
  • Deep copy of the graph

Also, there are some RICH TESTS for you to test almost everything in there. Got any additions/ comments? I would love to hear.

How to use?

Download the code and put it where you can access it. You can start creating a graph by the command WGraph_DS g = new Wgraph_DS <> (); Then add nodes using the g.addNode (new NodeInfo (your desired new node key)) command. Continue as you wish. The project is full of descriptions about the functions and their use.

Let's take a look inside-

Pictures to help and visualize how it's going:

Creating a graph: Creating a graph

Creating Nodes: Creating Nodes

Running Tests0: Update- the new ver. is with time stamps Running Tests0

Running Tests1: Running Tests1

!Running Tests2: Running Tests2

GraphAlgo: (rithms, da ;) ) GraphAlgo(rithms)

The HashMap of the graph strcture: HashMap- Graph structure

Find me at GitHub: ShaCode256@ -Second assignment in computer science and mathematics studies at Ariel University, second year.

ืคืจื•ื™ืงื˜- ืžื•ื“ืœ ื’ืจืฃ ืžืžื•ืฉืงืœ ื•ืœื ืžื›ื•ื•ืŸ- 11/2020

ื”ืคืจื•ื™ืงื˜ ืžืžืžืฉ ืžื•ื“ืœ ื’ืจืฃ ืžืžื•ืฉืงืœ ื•ืœื ืžื›ื•ื•ืŸ, ื‘ืืžืฆืขื•ืช ืžื‘ื ื™ ื ืชื•ื ื™ื ื•ื‘ืชื•ื›ื HashMaps ืœื™ื™ืฆื•ื’ ื”ืฆืžืชื™ื ื•ืงืฉืจื™ ื”ืฉื›ื ื•ื™ื•ืช ื‘ื™ื ื”ื.

ื˜ื™ืคื•ืก ื”ื’ืจืฃ ื‘ืขืœ ืคื•ื ืงืฆื™ื•ืช, ื‘ื™ืŸ ื”ื™ืชืจ:

  • ื”ื•ืกืคืช ื•ืžื—ื™ืงืช ืฆืžืชื™ื ืœื’ืจืฃ
  • ื”ื•ืกืคืช ื•ืžื—ื™ืงืช ืฉื›ื ื™ื ืœืฆืžืชื™ื ื‘ื’ืจืฃ
  • ืงื‘ืœืช ื”ืฉื›ื ื™ื ืฉืœ ืฆื•ืžืช ืžืกื•ื™ื
  • ื”ื•ืกืคืช ืžื™ื“ืข ืœืฆืžืชื™ื ืขืฆืžื, ื‘ืฉื ื™ ืขืจื›ื™ ืžื™ื“ืข ("ืžืฉืชื ื™ื") ืœื›ืœ ืฆื•ืžืช
  • ืžืฆื™ืืช ื”ืžืกืœื•ืœ ื”ืงืฆืจ ื‘ื™ื•ืชืจ ื‘ื™ืŸ ืฉื ื™ ืฆืžืชื™ื ื‘ืืžืฆืขื•ืช ืืœื’ื•ืจื™ืชื Dijkstra - ืžื™ืžื•ืฉ ื‘ืืžืฆืขื•ืช ืชื•ืจ
  • ื‘ื“ื™ืงืช ืงืฉื™ืจื•ืช ื”ื’ืจืฃ
  • ื”ืขืชืงื” ืขืžื•ืงื” ืฉืœ ื”ื’ืจืฃ

ืชืžื•ื ื•ืช ืœืžืขืœื”!

ืื™ืš ืœื”ืฉืชืžืฉ?* ื”ื•ืจื™ื“ื• ืืช ื”ืงื•ื“ ื•ืฉืžืจื• ืื•ืชื• ื›ืš ืฉืชื•ื›ืœื• ืœื’ืฉืช ืืœื™ื•**. ืืคืฉืจ ืœื”ืชื—ื™ืœ ื‘ื™ืฆื™ืจืช ื’ืจืฃ ืขืœ ื™ื“ื™ ื”ืคืงื•ื“ื” WGraph_DS g = new WGraph_DS<>(); , ืœืื—ืจ ืžื›ืŸ ืœื”ื•ืกื™ืฃ ืฆืžืชื™ื ื‘ืืžืฆืขื•ืช ื”ืคืงื•ื“ื” g.addNode(new NodeInfo(yourDesiredKeyNode)) ื•ืžืฉื ืœื”ืžืฉื™ืš ื›ืื•ื•ืช ื ืคืฉื›ื. ื”ืงื•ื“ ืžืœื ื‘ืชื™ืื•ืจ ื”ืคื•ื ืงืฆื™ื•ืช ื•ื”ืฉื™ืžื•ืฉ ื‘ื”ื.

@ืžืฆืื• ืื•ืชื™ ื‘ื’ื™ื˜ื”ืื‘ ShaCode256 ืžื˜ืœื” ืจืืฉื•ื ื” ื‘ืžืกื’ืจืช ืœื™ืžื•ื“ื™ ืžื“ืขื™ ื”ืžื—ืฉื‘ ื•ืžืชืžื˜ื™ืงื” ื‘ืื•ื ื™ื‘ืจืกื™ื˜ืช ืืจื™ืืœ ื‘ืฉื•ืžืจื•ืŸ, ืฉื ื” ื‘'.

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# Project - Weighted and undirected graph model - very fast and accurate. Using Hashmaps. 11/2020

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