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...roblem of [[algorithm]]ically compressing [[formal proof]]s. The developed algorithms can be used to improve the proofs generated by [[automated theorem proving] ...s, and the proof has a node with conclusion <math>\kappa</math>.<ref name="Compression of Propositional Resolution Proofs via Partial Regularization"/> ...

{{Short description|Lossless data compression technique}} ...ding''', named after its creator, [[Claude Shannon]], is a [[lossless data compression]] technique for constructing a [[prefix code]] based on a set of symbols an ...

==Algorithms== ...tions up to 1gb), DICT (dictionary replacements for text), DELTA (improves compression of tables in binary data), BCJ (executables preproccesor) and LZP (removes ...

{{Evolutionary algorithms}} In [[evolutionary computing]] such as [[genetic algorithms]] and [[genetic programming]], '''propagation''' refers to the inheritance ...

| genre = [[Data compression]] '''liblzg''' is a compression library for performing [[lossless data compression]]. It implements an algorithm that is a variation of the [[LZ77 and LZ78|LZ ...

...Indexes], ''Proceedings of the 14th Annual SIAM/ACM Symposium on Discrete Algorithms,'' January 2003, 841–850.</ref> is a [[compressed data structure]] for [[pa ...Compression: Experiments on Suffix Arrays and Trees'', ACM Transactions on Algorithms'', 2(4), 2006, 611–639.</ref> and it also supports fast ''in-situ'' pattern ...

{{Short description|Lossy color image compression algorithm}} ..., whereas Color Cell Compression does not use the standard deviation. Both algorithms, though, can compress an image down to effectively 2 bits per pixel. ...

'''Apple Video''' is a [[lossy]] video compression and decompression algorithm ([[codec]]) developed by [[Apple Inc.]] and fir ...ing in a [[Transform coding#Digital|transform]] domain. As a tradeoff, the compression performance of Apple Video is lower. ...

{{short description|Lossless, but memory-consuming, data compression algorithm}} ...mmar]] generating a single string: the input text. In order to perform the compression in linear time, it consumes the amount of memory that is approximately five ...

'''Silence compression''' is an audio processing technique used to effectively encode silent inter ...e=":1">{{Cite journal |title=ITU-T Recommendation G.729 Annex B: a silence compression scheme for use with G.729 optimized for V.70 digital simultaneous voice and ...

...dwidth (signal processing)|bandwidth]], which might lead to better [[image compression]] performance. ...rst=Li|title=The Correlation between the Wavelet Base Properties and Image Compression|journal=2007 International Conference on Computational Intelligence and Sec ...

{{Compression Methods}} [[Category:Lossless compression algorithms]] ...

...class]]es, rather than computational complexity of individual problems and algorithms. It involves the research of both internal structures of various complexity ===The compression theorem=== ...

{{Short description|Class of algorithms in information theory}} ...mpression to remove the redundancy). They are [[Iterative method|iterative algorithms]] that eventually converge to one of the maxima of the [[optimization probl ...

In mathematics and theoretical computer science, '''entropy compression''' is an [[information theory|information theoretic]] method for proving th ...solution always exists. The following algorithm can be shown using entropy compression to find such a solution for inputs that obey a constraint on <math>r</math> ...

...unstall coding''' is a form of [[entropy coding]] used for [[lossless data compression]]. ...<ref>{{cite book|last=Tunstall, Brian Parker|title=Synthesis of noiseless compression codes|date=September 1967|publisher=[[Georgia Institute of Technology]]}}</ ...

==Algorithms and complexity== ...al tool for many other parameterized algorithms.{{r|pa}} The parameterized algorithms known for these problems take nearly-linear time for any fixed value of <ma ...

===Polynomial Compression Algorithms=== ...

...//amath.colorado.edu/faculty/martinss/Pubs/2004_skeletonization.pdf On the compression of low rank matrices.]" SIAM Journal on Scientific Computing 26, no. 4 (200 ...(2007). [http://www.pnas.org/content/104/51/20167.full.pdf+html Randomized algorithms for the low-rank approximation of matrices]. Proceedings of the National Ac ...

{{Short description|Techniques for lossy compression of neural networks}} ...high accuracy, but often at the cost of significant resource requirements. Compression techniques aim to compress models without significant performance reduction ...