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  2. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    Note that for n greater than 2, not all sets of source words can properly form an n-ary tree for Huffman coding. In these cases, additional 0-probability place holders must be added. This is because the tree must form an n to 1 contractor; [clarification needed] for binary coding, this is a 2 to 1 contractor, and any sized set can form such a ...

  3. n-ary - Wikipedia

    en.wikipedia.org/wiki/N-ary

    n-ary may refer to: The arity of a function, operation, or relation n-ary associativity, a specific rule attached to n-ary functions n-ary group, a generalization of group; The radix of a numerical representation system; The number of letters in an alphabet (formal languages) An n-ary code. An n-ary Gray code; An n-ary Huffman code; An n-ary tree

  4. n-ary group - Wikipedia

    en.wikipedia.org/wiki/N-ary_group

    The concept of an n-ary group can be further generalized to that of an (n,m)-group, also known as a vector valued group, which is a set G with a map f: G n → G m where n > m, subject to similar axioms as for an n-ary group except that the result of the map is a word consisting of m letters instead of a single letter.

  5. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    Choosing k = n, b 1 = ... = b n = 1 this implies that the entropy of a certain outcome is zero: Η 1 (1) = 0. This implies that the efficiency of a source set with n symbols can be defined simply as being equal to its n-ary entropy. See also Redundancy (information theory).

  6. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    The algorithms represent the dictionary as an n-ary tree where n is the number of tokens used to form token sequences. Each dictionary entry is of the form dictionary[...] = {index, token} , where index is the index to a dictionary entry representing a previously seen sequence, and token is the next token from the input that makes this entry ...

  7. Kraft–McMillan inequality - Wikipedia

    en.wikipedia.org/wiki/Kraft–McMillan_inequality

    Let be the full -ary tree of depth (thus, every node of at level < has children, while the nodes at level are leaves). Every word of length ℓ ⩽ ℓ n {\displaystyle \ell \leqslant \ell _{n}} over an r {\displaystyle r} -ary alphabet corresponds to a node in this tree at depth ℓ {\displaystyle \ell } .

  8. Felicity Huffman on Why She ‘Wouldn’t Be Able to Do ... - AOL

    www.aol.com/entertainment/felicity-huffman-why...

    Felicity Huffman, who was nominated for an Oscar for playing a trans woman in 2005’s “Transamerica,” wouldn’t take on such a role again. It’s a role that she “wouldn’t be able to do ...

  9. Package-merge algorithm - Wikipedia

    en.wikipedia.org/wiki/Package-merge_algorithm

    The package-merge algorithm is an O(nL)-time algorithm for finding an optimal length-limited Huffman code for a given distribution on a given alphabet of size n, where no code word is longer than L. It is a greedy algorithm, and a generalization of Huffman's original algorithm.