On-line versus off-line computation in dynamic text compression
Information Processing Letters
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Approximating the smallest grammar: Kolmogorov complexity in natural models
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Approximation algorithms for grammar-based compression
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Application of Lempel-Ziv Factorization to the Approximation of Grammar-Based Compression
CPM '02 Proceedings of the 13th Annual Symposium on Combinatorial Pattern Matching
Collage system: a unifying framework for compressed pattern matching
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Optimal suffix tree construction with large alphabets
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
The macro model for data compression (Extended Abstract)
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Approximation algorithms for grammar-based data compression
Approximation algorithms for grammar-based data compression
Grammar-based codes: a new class of universal lossless source codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Universal lossless compression via multilevel pattern matching
IEEE Transactions on Information Theory
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A linear-time approximation algorithm for the grammar-based compression, which is an optimization problem to minimize the size of a context-free grammar deriving a given string, is presented. For each string of length n over unbounded alphabet, the algorithm guarantees O(log2 n) approximation ratio without suffix tree and runs in O(n) time in the sense of randomized model.