All of us solve a 'shortest path' problem many times a day—unintentionally—when finding routes to work or arranging items on a desk.
In both examples, the 'shortest' route is determined in either distance or time required to get from one place to another.
The examples represent a problem of finding a shortest path between two vertexes in a graph, involving the Dijkstra's algorithm for SSSP.
This common experience demonstrates how graph theory and shortest path problems, such as SSSP, are applicable in everyday decision-making.
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