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LZMA (Lempel–Ziv–Markov chain algorithm) is a lossless data compression algorithm developed since 1998 by Igor Pavlov, the developer of 7-Zip. It has been used in the 7z format of the 7-Zip archiver since 2001. This algorithm uses a dictionary compression scheme somewhat similar to the LZ77 algorithm published by Abraham Lempel and Jacob Ziv in 1977 and…
7-Zip reference implementation, Other implementations & Overview
Explore the main themes, entities and connections around LZMA. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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range compression used bits dictionary format bit byte value 7-zip lzma2 probability size xz algorithm using 7z packet significant code
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| BZip | instance of | It also can use various other compression methods | 0.80 | text |
| PPMd | instance of | It also can use various other compression methods | 0.80 | text |
| LZMA | related to 7-Zip reference implementation | The LZMA | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | Zip | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | LZMA SDK | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | It | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | GNU LGPL | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | Common Public License | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | Igor Pavlov | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | December | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | LZMA2 | 0.60 | section |
| LZMA | related to 7-Zip reference implementation | October | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.