מיכל זיו-יוקלסון

אקדמי בכיר

Reducing the worst case running times of a family of RNA and CFG problems, using Valiant's approach

We study Valiant's classical algorithm for Context Free Grammar recognition in sub-cubic time, and extract features that are common to problems on which Valiant's approach can be applied. Based on this, we describe several problem templates, and formulate generic algorithms that use Valiant's technique and can be applied to all problems which abide by these templates. These algorithms obtain new worst case running time bounds for a large family of important problems within the world of RNA Secondary Structures and Context Free Grammars.

שפת פרסום אנגלית
דפים 65-77
סטטוס פרסום פורסם - 10.11.2010

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
גישה למסמך
10.1007/978-3-642-15294-8_6
קבצים וקישורים אחרים
Link to publication in Scopus