Parallel Search Algorithm is a type of searching algorithm used to find an element in a given list ¹. There are different types of parallel search algorithms, including:
- Divide and Conquer:
This algorithm involves dividing the problem into smaller sub-problems, solving them recursively, and then combining the solutions to get the solution to the original problem. Binary search is an example of this algorithm.
- Depth-First Search (DFS):
This algorithm is used to search a tree or an undirected graph data structure. It starts from the root node and traverses as far as possible in the same branch.
- Breadth-First Search (BFS):
This algorithm is also used to search a tree or an undirected graph data structure. It starts with a node and then visits all the adjacent nodes in the same level before moving to the next level.
- Best-First Search:
This algorithm traverses a graph to reach a target in the shortest possible path. It follows an evaluation function to determine which node is the most appropriate to traverse next.