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  2. Best-first search - Wikipedia

    en.wikipedia.org/wiki/Best-first_search

    Best-first search is a class of search algorithms that explore a graph by expanding the most promising node according to a heuristic rule. Learn about different types of best-first search, such as A*, B*, and greedy best-first search, and see examples and references.

  3. PHP - Wikipedia

    en.wikipedia.org/wiki/PHP

    PHP is a general-purpose scripting language geared towards web development, originally created by Rasmus Lerdorf in 1993. The name PHP stands for the recursive acronym PHP: Hypertext Preprocessor, and it is widely used on the web, with 76.2% of all websites using it as of May 2024.

  4. PHP syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/PHP_syntax_and_semantics

    Learn the rules and conventions of writing and interpreting PHP programs, a programming language for web development. See examples of keywords, operators, control structures, delimiters, and more.

  5. Rasmus Lerdorf - Wikipedia

    en.wikipedia.org/wiki/Rasmus_Lerdorf

    Rasmus Lerdorf is a Danish-Canadian programmer who co-authored and inspired the PHP scripting language. He was born in Greenland, graduated from the University of Waterloo, and worked for Yahoo!, WePay, Etsy, and Jelastic.

  6. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    A* is a graph traversal and pathfinding algorithm that finds the shortest path from a source to a goal node. It uses a heuristic function to guide its search and achieve optimal efficiency and completeness.

  7. Variable neighborhood search - Wikipedia

    en.wikipedia.org/wiki/Variable_neighborhood_search

    Learn about variable neighborhood search (VNS), a metaheuristic method for solving combinatorial and global optimization problems. VNS explores distant neighborhoods of the current solution and moves to a new one if an improvement is found.

  8. Binary search - Wikipedia

    en.wikipedia.org/wiki/Binary_search

    Binary search is a fast search algorithm that finds the position of a target value in a sorted array by comparing it with the middle element. Learn how binary search works, its pseudocode, its variations, and its applications in data structures and computational geometry.

  9. Fibonacci search technique - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_search_technique

    Learn how to search a sorted array using Fibonacci numbers and a divide and conquer algorithm. Compare Fibonacci search with binary search and see examples, references and alternative implementations.

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