An O(n log n) algorithm for finding all repetitions in a string
Journal of Algorithms
Theoretical Computer Science
Detecting leftmost maximal periodicities
Discrete Applied Mathematics - Combinatorics and complexity
Finding Maximal Repetitions in a Word in Linear Time
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
The number of runs in a string
Information and Computation
Computing Longest Previous Factor in linear time and applications
Information Processing Letters
Maximal repetitions in strings
Journal of Computer and System Sciences
How many runs can a string contain?
Theoretical Computer Science
Towards a Solution to the "Runs" Conjecture
CPM '08 Proceedings of the 19th annual symposium on Combinatorial Pattern Matching
Language and Automata Theory and Applications
Repetitions in strings: Algorithms and combinatorics
Theoretical Computer Science
The number of runs in a string: improved analysis of the linear upper bound
STACS'06 Proceedings of the 23rd Annual conference on Theoretical Aspects of Computer Science
Hunting redundancies in strings
DLT'11 Proceedings of the 15th international conference on Developments in language theory
Computing the maximal-exponent repeats of an overlap-free string in linear time
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
Computing maximum number of runs in strings
SPIRE'12 Proceedings of the 19th international conference on String Processing and Information Retrieval
The total run length of a word
Theoretical Computer Science
Extracting powers and periods in a word from its runs structure
Theoretical Computer Science
Hi-index | 5.23 |
The ''runs'' conjecture, proposed by Kolpakov and Kucherov (1999) [7], states that the number of occurrences of maximal repetitions (runs) in a string of length n, runs(n), is at most n. We almost solve the conjecture by proving that runs(n)=