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Graph Theory ITEC 320 Lecture 21
Graph Theory Review Higher level usage of pointers –Factories –Flyweight –Disk pool Rationale Benefits / Downsides
Graph Theory Outline Rationale Definition Methods of implementation Algorithms
Graph Theory Cell phones How do they work (communication side)
Graph Theory Cell Networks
Graph Theory Other scenarios Computer networks Google maps Facebook friends Gaming
Graph Theory Rationale How do you model a cell phone network on a computer? Why would you want to simulate a cell phone network?
Graph Theory Graphs Composed of vertices and edges Vertices –Represent an object in a graph Edges –A connection between two vertices
Graph Theory Variations Weighted graph –Toll road –Hotel cost –Identifiers Possible usage scenarios?
Graph Theory Methods of implementation Arrays Pointers Benefits of each approach Downsides of each approach
Graph Theory Code Should we use a package? What about generics?
Graph Theory Searching How do you find information in a graph? Destination Start
Graph Theory Breadth first For each node I am connected to –Is this the node I’m looking for? If I didn’t find it –For each node I am connected to Call breadth first search on it
Graph Theory Depth first If I am the node searched for, stop and return For each node I am connected to –Call depth first search on that node
Graph Theory Issues What are some of the issues that might happen with searching? How do you implement each way? –Stacks / Recursion / Packages / ?
Graph Theory More How do you pick the best path? –Lowest cost –Highest cost –Cover all points with least overlap
Graph Theory Summary Rationale for graph theory Approach Finding algorithms
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