ABSTRACT The problem of finding the shortest path between a source and a destination node, commonly represented by graphs, has several computational algorithms as an attempt to find what is called the ...

Shortest-path problems provide good examples of the sensitivity of an algorithm to the specifics of their requirements. The underpinning for many applications from navigation to chip layout, these ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

For an algorithm to be considered efficient, you must be able to increase the precision of a solution without paying a correspondingly high price in the amount of time it takes to find that solution.

Routing protocols are an obvious example of such algorithms. I remember learning how link-state routing worked and appreciating the elegance of the approach: each router telling its neighbors about ...

Finding the shortest route from an origin to a destination is the primary concern for any traveller. When heading somewhere new, most of us leave it to computer algorithms to help us find the best ...

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing ...