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  2. Kalpavriksha - Wikipedia

    en.wikipedia.org/wiki/Kalpavriksha

    Kalpataru, the divine tree of life being guarded by mythical creatures at the 8th century Pawon temple, a Buddhist temple in Java, Indonesia. Kalpavriksha [note 1] (Sanskrit: कल्पवृक्ष, lit. 'age tree', Kalpavṛkṣa) is a wish-fulfilling divine tree in religions like Hinduism, Jainism, and Buddhism.

  3. Category:Trees of Java - Wikipedia

    en.wikipedia.org/wiki/Category:Trees_of_Java

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  4. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    Trees are commonly used to represent or manipulate hierarchical data in applications such as: File systems for: Directory structure used to organize subdirectories and files (symbolic links create non-tree graphs, as do multiple hard links to the same file or directory) The mechanism used to allocate and link blocks of data on the storage device

  5. Java (programming language) - Wikipedia

    en.wikipedia.org/wiki/Java_(programming_language)

    Java is a high-level, class-based, object-oriented programming language that is designed to have as few implementation dependencies as possible. It is a general-purpose programming language intended to let programmers write once, run anywhere (), [16] meaning that compiled Java code can run on all platforms that support Java without the need to recompile. [17]

  6. Abstract syntax tree - Wikipedia

    en.wikipedia.org/wiki/Abstract_syntax_tree

    An abstract syntax tree (AST) is a data structure used in computer science to represent the structure of a program or code snippet. It is a tree representation of the abstract syntactic structure of text (often source code) written in a formal language. Each node of the tree denotes a construct occurring in the text.

  7. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    A B+ tree consists of a root, internal nodes and leaves. [1] The root may be either a leaf or a node with two or more children. A B+ tree can be viewed as a B-tree in which each node contains only keys (not key–value pairs), and to which an additional level is added at the bottom with linked leaves.

  8. Ternary search tree - Wikipedia

    en.wikipedia.org/wiki/Ternary_search_tree

    Like other prefix trees, a ternary search tree can be used as an associative map structure with the ability for incremental string search. However, ternary search trees are more space efficient compared to standard prefix trees, at the cost of speed. Common applications for ternary search trees include spell-checking and auto-completion.

  9. Binary search tree - Wikipedia

    en.wikipedia.org/wiki/Binary_search_tree

    Fig. 1: A binary search tree of size 9 and depth 3, with 8 at the root. In computer science, a binary search tree (BST), also called an ordered or sorted binary tree, is a rooted binary tree data structure with the key of each internal node being greater than all the keys in the respective node's left subtree and less than the ones in its right subtree.