A catalog of complexity classes
Handbook of theoretical computer science (vol. A)
P-complete problems in data compression
Theoretical Computer Science
Limits to parallel computation: P-completeness theory
Limits to parallel computation: P-completeness theory
Finite Monoids: From Word to Circuit Evaluation
SIAM Journal on Computing
Characterizations of Pushdown Machines in Terms of Time-Bounded Computers
Journal of the ACM (JACM)
On the Tape Complexity of Deterministic Context-Free Languages
Journal of the ACM (JACM)
Data compression via textual substitution
Journal of the ACM (JACM)
Efficient Algorithms for Lempel-Zip Encoding (Extended Abstract)
SWAT '96 Proceedings of the 5th Scandinavian Workshop on Algorithm Theory
Complexity of Language Recognition Problems for Compressed Words
Jewels are Forever, Contributions on Theoretical Computer Science in Honor of Arto Salomaa
Algorithms on Compressed Strings and Arrays
SOFSEM '99 Proceedings of the 26th Conference on Current Trends in Theory and Practice of Informatics on Theory and Practice of Informatics
Almost Optimal Fully LZW-Compressed Pattern Matching
DCC '99 Proceedings of the Conference on Data Compression
The complexity of tree automata and XPath on grammar-compressed trees
Theoretical Computer Science - Implementation and application of automata
Leaf languages and string compression
Information and Computation
Window subsequence problems for compressed texts
CSR'06 Proceedings of the First international computer science conference on Theory and Applications
Querying and embedding compressed texts
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Tree automata and XPath on compressed trees
CIAA'05 Proceedings of the 10th international conference on Implementation and Application of Automata
Hi-index | 0.89 |
SLP-compressed words are words given by simple deterministic grammars called "straight-line programs". We prove that the problem of deciding whether an SLP-compressed word is recognized by an FSA is complete for polynomial-time.