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![def search( graph, root): sequence =[ root ] visited =set() while sequence: node = sequence. pop()
if node not in visited: visited. add (node) sequence.extend ( graph [ node ]) return visited Which
searching algorithm the above code uses and what data structure it employs? What is the
difference between uninformed and informed search algorithms in Al? Can you provide an
example of informed search algorithm in a few sentences?](https://image.slidesharecdn.com/defsearchgraphrootsequencerootvisitedset-230320114458-391f1e49/85/def-search-graph-root-sequence-root-visited-set-pdf-1-320.jpg)
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def search graph root sequence root visited set .pdf
The document presents a code snippet that implements a graph search algorithm utilizing a depth-first approach. It uses a list for the sequence of nodes to explore and a set to track visited nodes. Additionally, it poses questions about the differences between uninformed and informed search algorithms, asking for an example of an informed search algorithm.
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def search graph root sequence root visited set .pdf
- 1. def search( graph,root): sequence =[ root ] visited =set() while sequence: node = sequence. pop() if node not in visited: visited. add (node) sequence.extend ( graph [ node ]) return visited Which searching algorithm the above code uses and what data structure it employs? What is the difference between uninformed and informed search algorithms in Al? Can you provide an example of informed search algorithm in a few sentences?