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  2. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    Huffman coding. Huffman tree generated from the exact frequencies of the text "this is an example of a huffman tree". Encoding the sentence with this code requires 135 (or 147) bits, as opposed to 288 (or 180) bits if 36 characters of 8 (or 5) bits were used (This assumes that the code tree structure is known to the decoder and thus does not ...

  3. Binary space partitioning - Wikipedia

    en.wikipedia.org/wiki/Binary_space_partitioning

    The process of making a BSP tree. In computer science, binary space partitioning (BSP) is a method for space partitioning which recursively subdivides a Euclidean space into two convex sets by using hyperplanes as partitions. This process of subdividing gives rise to a representation of objects within the space in the form of a tree data ...

  4. Garsia–Wachs algorithm - Wikipedia

    en.wikipedia.org/wiki/Garsia–Wachs_algorithm

    Garsia–Wachs algorithm. The Garsia–Wachs algorithm is an efficient method for computers to construct optimal binary search trees and alphabetic Huffman codes, in linearithmic time. It is named after Adriano Garsia and Michelle L. Wachs .

  5. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    A full binary tree (sometimes referred to as a proper, [ 15 ]plane, or strict binary tree) [ 16 ][ 17 ] is a tree in which every node has either 0 or 2 children. Another way of defining a full binary tree is a recursive definition. A full binary tree is either: [ 11 ] A single vertex (a single node as the root node).

  6. Deflate - Wikipedia

    en.wikipedia.org/wiki/DEFLATE

    Instructions to generate the necessary Huffman tree immediately follow the block header. The static Huffman option is used for short messages, where the fixed saving gained by omitting the tree outweighs the percentage compression loss due to using a non-optimal (thus, not technically Huffman) code. Compression is achieved through two steps:

  7. Shannon–Fano coding - Wikipedia

    en.wikipedia.org/wiki/Shannon–Fano_coding

    A few years later, David A. Huffman (1952) [13] gave a different algorithm that always produces an optimal tree for any given symbol probabilities. While Fano's Shannon–Fano tree is created by dividing from the root to the leaves, the Huffman algorithm works in the opposite direction, merging from the leaves to the root.

  8. 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.

  9. DOT (graph description language) - Wikipedia

    en.wikipedia.org/wiki/DOT_(graph_description...

    Binary tree generated in Graphviz from a DOT description by an online Huffman Tree generator. The DOT language defines a graph, but does not provide facilities for rendering the graph. There are several programs that can be used to render, view, and manipulate graphs in the DOT language: