Otsinguprobleemid

Otsinguprobleemid, also known as search problems, are a class of problems in computer science and mathematics where the goal is to find a solution within a set of possible solutions. These problems are characterized by the need to explore a search space, which can be represented as a graph or tree, to find a specific node or path that satisfies certain conditions.

Search problems can be classified into two main categories: uninformed search and informed search. Uninformed search algorithms, such as breadth-first search and depth-first search, explore the search space without any additional information about the problem. Informed search algorithms, on the other hand, use heuristics or domain-specific knowledge to guide the search process and improve efficiency.

The performance of search algorithms is typically evaluated based on two criteria: completeness and optimality. A search algorithm is complete if it is guaranteed to find a solution if one exists. It is optimal if it finds the solution with the least cost, where cost is defined according to the problem's specific requirements.

Common applications of search problems include pathfinding in navigation systems, puzzle solving, and game playing. In these contexts, search algorithms are used to explore possible moves or states and find the optimal solution or path.