Apr 7, 2025 · Mini-Max algorithm is a decision-making algorithm used in artificial intelligence, particularly in game theory and computer games. It is designed to minimize the possible loss …

Aug 13, 2017 · We can thus construct a recurrence relation for the time complexity function: T(n) = 2T(n/2) + C. This expands to a geometric series C * (1 + 2 + 4 + ... ), which continues for log …

Mar 17, 2025 · Explanation: The time complexity of the Mini-Max algorithm is O(b^m), where 'b' is the branching factor of the game tree and 'm' is the maximum depth.

Mar 12, 2021 · What does make sense is to talk about the time complexity of min() and max() as the size of the input list changes. Since the execution time varies linearly with the size of the …

Aug 20, 2023 · The time complexity of the Min Max algorithm depends on the size of the game tree and the maximum depth to be searched. The time complexity of minimax is O ( b m ) …

Optimal-Min-Max algorithm is optimal if both opponents are playing optimally. Time complexity- As it performs DFS for the game-tree, so the time complexity of Min-Max algorithm is O(bm), …

Max's objective is to obtain the largest game value possible while Min's objective is to obtain the smallest game value possible. Suppose it is Max's move and there are two moves available, A …

Mar 18, 2024 · In this tutorial, we’ll be discussing the minimax algorithm, a rather simplistic approach to dealing with adversarial problems. “Adversarial” refers to multi-agent systems, …

Jun 13, 2022 · Time complexity : O(b^d) b is the branching factor and d is count of depth or ply of graph or tree. Space Complexity : O(bd) where b is branching factor into d is maximum depth …

Space complexity amounts to "how much memory will I need to allocate for this algorithm". Time complexity amounts to "how long will it take to execute (in an abstract sense").