The space complexity of a greedy search algorithm is O(b^d).

Here's why:

1. In a greedy search algorithm, we explore one node at a time and keep all the siblings of the node in memory to explore later.

2. The maximum number of nodes stored in memory at any point is the maximum number of sibling nodes. This occurs at the maximum depth of the tree, d.

3. At depth d, there are b^d nodes because each node has b children and there are d levels in the tree.

4. Therefore, the space complexity of a greedy search algorithm is O(b^d).

So, the correct answer is b. d^m.

Question

The space complexity of a greedy search algorithm is O(b^d).

Here's why:

1. In a greedy search algorithm, we explore one node at a time and keep all the siblings of the node in memory to explore later.

2. The maximum number of nodes stored in memory at any point is the maximum number of sibling nodes. This occurs at the maximum depth of the tree, d.

3. At depth d, there are b^d nodes because each node has b children and there are d levels in the tree.

4. Therefore, the space complexity of a greedy search algorithm is O(b^d).

So, the correct answer is b. d^m.

Knowee AI · Accepted Answer

The space complexity of a greedy search algorithm is O(b^d).

Here's why:

1. In a greedy search algorithm, we explore one node at a time and keep all the siblings of the node in memory to explore later.

2. The maximum number of nodes stored in memory at any point is the maximum number of sibling nodes. This occurs at the maximum depth of the tree, d.

3. At depth d, there are b^d nodes because each node has b children and there are d levels in the tree.

4. Therefore, the space complexity of a greedy search algorithm is O(b^d).

So, the correct answer is b. d^m.

If m is the branching factor and d is the maximum depth of the search tree, then the space complexity of greedy search will be of the ordera.d*mb.d^mc.d+md.m^d