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  2. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    If the node is terminal it has no children, it is removed from the trie (line 14). However, an end of string key without the node being terminal indicates that the key does not exist, thus the procedure does not modify the trie. The recursion proceeds by incrementing key 's index.

  3. Ternary search tree - Wikipedia

    en.wikipedia.org/wiki/Ternary_search_tree

    If the first character of the string is less than the character in the root node, a recursive lookup can be called on the tree whose root is the lo kid of the current root. Similarly, if the first character is greater than the current node in the tree, then a recursive call can be made to the tree whose root is the hi kid of the current node. [1]

  4. Three-valued logic - Wikipedia

    en.wikipedia.org/wiki/Three-valued_logic

    In logic, a three-valued logic (also trinary logic, trivalent, ternary, or trilean, [1] sometimes abbreviated 3VL) is any of several many-valued logic systems in which there are three truth values indicating true, false, and some third value.

  5. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    Avoids recursion, which uses a call stack and consumes memory and time. The node keeps a record of its parent. Disadvantages: The tree is more complex. We can make only one traversal at a time. It is more prone to errors when both the children are not present and both values of nodes point to their ancestors.

  6. Recursion - Wikipedia

    en.wikipedia.org/wiki/Recursion

    A classic example of recursion is the definition of the factorial function, given here in Python code: def factorial ( n ): if n > 0 : return n * factorial ( n - 1 ) else : return 1 The function calls itself recursively on a smaller version of the input (n - 1) and multiplies the result of the recursive call by n , until reaching the base case ...

  7. Recursion (computer science) - Wikipedia

    en.wikipedia.org/wiki/Recursion_(computer_science)

    Recursive drawing of a SierpiƄski Triangle through turtle graphics. In computer science, recursion is a method of solving a computational problem where the solution depends on solutions to smaller instances of the same problem. [1] [2] Recursion solves such recursive problems by using functions that call themselves from within their own code ...

  8. Quicksort - Wikipedia

    en.wikipedia.org/wiki/Quicksort

    Quicksort must store a constant amount of information for each nested recursive call. Since the best case makes at most O(log n) nested recursive calls, it uses O(log n) space. However, without Sedgewick's trick to limit the recursive calls, in the worst case quicksort could make O(n) nested recursive calls and need O(n) auxiliary space.

  9. Corecursion - Wikipedia

    en.wikipedia.org/wiki/Corecursion

    In computer science, corecursion is a type of operation that is dual to recursion.Whereas recursion works analytically, starting on data further from a base case and breaking it down into smaller data and repeating until one reaches a base case, corecursion works synthetically, starting from a base case and building it up, iteratively producing data further removed from a base case.