[HTML][HTML] Approximation of smallest linear tree grammar
A simple linear-time algorithm for constructing a linear context-free tree grammar of size O (r
g+ rg log(n/rg)) for a given input tree T of size n is presented, where g is the size of a
minimal linear context-free tree grammar for T, and r is the maximal rank of symbols in T
(which is a constant in many applications). This is the first example of a grammar-based tree
compression algorithm with a good, ie logarithmic in terms of the size of the input tree,
approximation ratio. The analysis of the algorithm uses an extension of the recompression …
g+ rg log(n/rg)) for a given input tree T of size n is presented, where g is the size of a
minimal linear context-free tree grammar for T, and r is the maximal rank of symbols in T
(which is a constant in many applications). This is the first example of a grammar-based tree
compression algorithm with a good, ie logarithmic in terms of the size of the input tree,
approximation ratio. The analysis of the algorithm uses an extension of the recompression …
A simple linear-time algorithm for constructing a linear context-free tree grammar of size O (r g+ r g log(n/r g)) for a given input tree T of size n is presented, where g is the size of a minimal linear context-free tree grammar for T, and r is the maximal rank of symbols in T (which is a constant in many applications). This is the first example of a grammar-based tree compression algorithm with a good, ie logarithmic in terms of the size of the input tree, approximation ratio. The analysis of the algorithm uses an extension of the recompression technique from strings to trees.
Elsevier