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  2. Pseudocode - Wikipedia

    en.wikipedia.org/wiki/Pseudocode

    Pseudocode. In computer science, pseudocode is a description of the steps in an algorithm using a mix of conventions of programming languages (like assignment operator, conditional operator, loop) with informal, usually self-explanatory, notation of actions and conditions. [ 1][ 2] Although pseudocode shares features with regular programming ...

  3. Best-first search - Wikipedia

    en.wikipedia.org/wiki/Best-first_search

    Best-first search is a class of search algorithms, which explores a graph by expanding the most promising node chosen according to a specified rule.. Judea Pearl described the best-first search as estimating the promise of node n by a "heuristic evaluation function () which, in general, may depend on the description of n, the description of the goal, the information gathered by the search up ...

  4. Bubble sort - Wikipedia

    en.wikipedia.org/wiki/Bubble_sort

    For example, bubble sort is () on a list that is already sorted, while quicksort would still perform its entire (⁡) sorting process. While any sorting algorithm can be made O ( n ) {\displaystyle O(n)} on a presorted list simply by checking the list before the algorithm runs, improved performance on almost-sorted lists is harder to replicate.

  5. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    Breadth-first search ( BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property. It starts at the tree root and explores all nodes at the present depth prior to moving on to the nodes at the next depth level. Extra memory, usually a queue, is needed to keep track of the child nodes that were ...

  6. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    Depth-first search ( DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking. Extra memory, usually a stack, is needed to keep track of the ...

  7. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Quicksort is an efficient, general-purpose sorting algorithm. Quicksort was developed by British computer scientist Tony Hoare in 1959 [ 1] and published in 1961. [ 2] It is still a commonly used algorithm for sorting. Overall, it is slightly faster than merge sort and heapsort for randomized data, particularly on larger distributions.

  8. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    A* search algorithm. A* (pronounced "A-star") is a graph traversal and pathfinding algorithm, which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. [ 1] Given a weighted graph, a source node and a goal node, the algorithm finds the shortest path (with respect to the given weights) from ...

  9. AC-3 algorithm - Wikipedia

    en.wikipedia.org/wiki/AC-3_algorithm

    In constraint satisfaction, the AC-3 algorithm (short for Arc Consistency Algorithm #3) is one of a series of algorithms used for the solution of constraint satisfaction problems (or CSP's). It was developed by Alan Mackworth in 1977. The earlier AC algorithms are often considered too inefficient, and many of the later ones are difficult to ...