Counting complexity: compressed Ηamming distance, vertex covers and recent highlights

Postgraduate Thesis uoadl:1320957 211 Read counter

Unit:
Διαπανεπιστημιακό ΠΜΣ Λογική και Θεωρία Αλγορίθμων και Υπολογισμού
Library of the School of Science
Deposit date:
2015-05-06
Year:
2015
Author:
Νέμπαρης Ιωάννης
Supervisors info:
Άρης Παγουρτζής Αναπλ. Καθηγητής (Επιβλέπων), Στάθης Ζάχος Καθηγητής, Δημήτρης Φωτάκης Επίκ. Καθηγητής
Original Title:
Counting complexity: compressed Ηamming distance, vertex covers and recent highlights
Languages:
English
Translated title:
Μετρητική πολυπλοκότητα: συμπιεσμένη απόσταση Hamming, καλύμματα κορυφών και πρόσφατα επιτεύγματα
Summary:
In this article, we tackle the compressed Hamming distance problem. The Hamming
distance is an easy problem, but when we move to a compressed input (via the
SLP compression method) the problem becomes #P-complete. We propose a range of
algorithms for specific cases of the problem. Secondly, we deal with the
counting vertex covers problems in paths,cycles and trees, and answer more
specific questions like the probability of a vertex being part of a cover, and
the number of covers for any specific size some milestones of the field of the last 30 years.
Keywords:
Compressed Hamming Distance, Straight Line programs, Vertex covers, Counting, Algorithms
Index:
Yes
Number of index pages:
2
Contains images:
Yes
Number of references:
30
Number of pages:
51
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