Best-First search can be implemented using the following data structure. A. Queue B. Stack C. Priority Queue D. Circular Queue

Queue
Stack
Priority Queue
Circular Queue

The correct answer is C. Priority Queue.

A priority queue is a data structure that stores

elements in a sorted order, with the highest-priority element at the front of the queue. This makes it a natural choice for implementing best-first search, which is a search algorithm that always expands the node with the highest estimated cost to goal.

A queue is a data structure that stores elements in a first-in, first-out (FIFO) order. This means that the element that was added to the queue first will be the first element to be removed. A stack is a data structure that stores elements in a last-in, first-out (LIFO) order. This means that the element that was added to the stack last will be the first element to be removed. A circular queue is a data structure that stores elements in a circular buffer. This means that the elements are stored in a ring, and the last element in the buffer is connected to the first element.

Best-first search can be implemented using a queue, a stack, or a priority queue. However, a priority queue is the most efficient data structure for implementing best-first search, because it allows the algorithm to quickly access the node with the highest estimated cost to goal.

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