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Explain the difference between depth first and breadth first traversing techniques of a graph.
Depth-first search is dissimilar from Breadth-first search in the following ways: A depth search traversal method goes to the deepest level of the tree first and then works up whereas a breadth-first search looks at all possible paths at the similar depth before it goes to a deeper level. When we come to a dead end in a depth-first search, we back up as little as possible. We try another route from a new vertex-the route on top of our stack. In a breadth-first search, we need to back up as far as possible to search a route originating from the previous vertices. So the stack is not an appropriate structure for searching an early route because it keeps track of things in the order opposite of their occurrence-the new route is on top. To keep track of things in the order in which they happened, we use a FIFO queue. The route at the front of the queue is a route from an previous vertex; the route at the back of the queue is from a later vertex.
Specifying Constraint Problems: However as with most successful "AI" techniques there constraint solving is all about solving problems as: somehow phrase the intelligent task
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what is physical data structure in internals of rdbms?
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