Unformatted text preview: of BFS
n༆ n༆ Completeness:
q༇ YES
Time complexity:
q༇ Assume a state space where every state has b successors.
n༆ Assume solution is at depth d
n༆ Worst case: expand all but the last node at depth d
n༆ Total number of nodes expanded: b + b 2 + b 3 + ... + b d + (b d +1 − b) = O(b d +1 ) € 5 9/20/13 Evaluation of BFS
n༆ n༆ Uninformed Search Completeness:
Time complexity: q༇ q༇ YES
Total number of nodes expanded: b + b 2 + b 3 + ... + b d + (b d +1 − b) = O(b d +1 )
n༆ Space complexity:
q༇ Lecture 10: 9/20/13 Same, if each node is retained in memory € Evaluation of BFS
n༆ Completeness:
q༇ n༆ YES Time complexity:
q༇ Space complexity:
q༇ n༆ € Same, if each node is retained in memory Optimality:
q༇ n༆
n༆ Memory requirements are a bigger problem than its execution time.
Exponential complexity search problems cannot be solved by
uninformed search methods for any but the s...
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This note was uploaded on 02/10/2014 for the course CS 440 taught by Professor Staff during the Fall '08 term at Colorado State.
 Fall '08
 Staff
 Artificial Intelligence

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