The shortest path with at most k edges between two points in a graph is known as the k-shortest path. It is the path that has the fewest number of edges while still connecting the two points.
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Some example problems that demonstrate the application of calculus of variations include finding the shortest path between two points, minimizing the surface area of a container for a given volume, and maximizing the efficiency of a system by optimizing a function.
No, not every possible minimal spanning tree of a given graph has an identical number of edges.
The longest simple path in a graph is the path that does not repeat any vertices and has the most number of edges between two distinct vertices.
The Knight's Shortest Path Algorithm is used in computer science to find the shortest path that a knight piece can take on a chessboard to reach a specific square from a given starting position.
The k center problem is a mathematical optimization problem where the goal is to select k centers from a set of points in a way that minimizes the maximum distance between each point and its nearest center. This problem is important in various fields such as facility location and network design, where efficient clustering of points is needed.