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List of algorithms
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====Graph search==== {{further|State space search|Graph search algorithm}} * [[A* search algorithm|A*]]: special case of best-first search that uses heuristics to improve speed * [[B*]]: a best-first graph search algorithm that finds the least-cost path from a given initial node to any goal node (out of one or more possible goals) * [[Backtracking]]: abandons partial solutions when they are found not to satisfy a complete solution * [[Beam search]]: is a heuristic search algorithm that is an optimization of [[best-first search]] that reduces its memory requirement * [[Beam stack search]]: integrates backtracking with [[beam search]] * [[Best-first search]]: traverses a graph in the order of likely importance using a [[priority queue]] * [[Bidirectional search]]: find the shortest path from an initial vertex to a goal vertex in a directed graph * [[Breadth-first search]]: traverses a graph level by level * [[Brute-force search]]: an exhaustive and reliable search method, but computationally inefficient in many applications * [[D*]]: an [[incremental heuristic search]] algorithm * [[Depth-first search]]: traverses a graph branch by branch * [[Dijkstra's algorithm]]: a special case of A* for which no heuristic function is used * [[General Problem Solver]]: a seminal theorem-proving algorithm intended to work as a universal problem solver machine. * [[Iterative deepening depth-first search]] (IDDFS): a state space search strategy * [[Jump point search]]: an optimization to A* which may reduce computation time by an order of magnitude using further heuristics * [[Lexicographic breadth-first search]] (also known as Lex-BFS): a linear time algorithm for ordering the vertices of a graph * [[Uniform-cost search]]: a [[Tree traversal|tree search]] that finds the lowest-cost route where costs vary * [[SSS*]]: state space search traversing a game tree in a best-first fashion similar to that of the A* search algorithm
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