The complexity of the algorithm in terms of time and space when the keyWord "algorithm" is used in A search is typically O(bd), where b is the branching factor and d is the depth of the solution. This means that the time and space required by the algorithm grows exponentially with the depth of the solution and the branching factor of the search tree.
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