Bounding the expected length of longest common subsequences and forests

We present improvements to two techniques to find lower and upper bounds for the expected length of longest common subsequences and forests of two random sequences of the same length, over a fixed size, uniformly distributed alphabet. We emphasize the power of the methods used, which are Markov chai...

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Detalles Bibliográficos
Autores: Scheihing, R., Navarro, G., Gavaldà Mestre, Ricard|||0000-0003-4736-7179, Baeza-Yates, R.
Tipo de recurso: informe técnico
Fecha de publicación:1998
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/84548
Acceso en línea:https://hdl.handle.net/2117/84548
Access Level:acceso abierto
Palabra clave:Bounds
Expected length
Longest common subsequence
LCS
Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica
Descripción
Sumario:We present improvements to two techniques to find lower and upper bounds for the expected length of longest common subsequences and forests of two random sequences of the same length, over a fixed size, uniformly distributed alphabet. We emphasize the power of the methods used, which are Markov chains and Kolmogorov complexity. As a corollary, we obtain some new lower and upper bounds for the problems addressed as well as some new exact results for short sequences.