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@@ -3,7 +3,7 @@ Description
Lzip is a lossless data compressor with a user interface similar to the
one of gzip or bzip2. Lzip is about as fast as gzip, compresses most
files more than bzip2, and is better than both from a data recovery
-perspective. Lzip is a clean implementation of the LZMA "algorithm".
+perspective.
The lzip file format is designed for data sharing and long-term
archiving, taking into account both data integrity and decoder
@@ -76,18 +76,19 @@ multivolume compressed tar archives.
Lzip is able to compress and decompress streams of unlimited size by
automatically creating multi-member output. The members so created are
-large, about 64 PiB each.
-
-There is no such thing as a "LZMA algorithm"; it is more like a "LZMA
-coding scheme". For example, the option '-0' of lzip uses the scheme in
-almost the simplest way possible; issuing the longest match it can find,
-or a literal byte if it can't find a match. Inversely, a much more
-elaborated way of finding coding sequences of minimum size than the one
-currently used by lzip could be developed, and the resulting sequence
-could also be coded using the LZMA coding scheme.
-
-Lzip currently implements two variants of the LZMA algorithm; fast (used
-by option -0) and normal (used by all other compression levels).
+large, about 2 PiB each.
+
+In spite of its name (Lempel-Ziv-Markov chain-Algorithm), LZMA is not a
+concrete algorithm; it is more like "any algorithm using the LZMA coding
+scheme". For example, the option '-0' of lzip uses the scheme in almost
+the simplest way possible; issuing the longest match it can find, or a
+literal byte if it can't find a match. Inversely, a much more elaborated
+way of finding coding sequences of minimum size than the one currently
+used by lzip could be developed, and the resulting sequence could also
+be coded using the LZMA coding scheme.
+
+Lzip currently implements two variants of the LZMA algorithm; fast
+(used by option -0) and normal (used by all other compression levels).
The high compression of LZMA comes from combining two basic, well-proven
compression ideas: sliding dictionaries (LZ77/78) and markov models (the