CSL 1999
Descriptive and Parameterized Complexity
Abstract
Abstract Descriptive Complexity Theory studies the complexity of problems of the following type: Given a finite structure A and a sentence φ of some logic L, decide if A satisfies φ? In this survey we discuss the parameterized complexity of such problems. Basically, this means that we ask under which circumstances we have an algorithm solving the problem in time f (|φ|)‖ A ‖ c, where ƒ is a computable function and c > 0 a constant. We argue that the parameterized perspective is most appropriate for analyzing typical practical problems of the above form, which appear for example in database theory, automated verification, and artificial intelligence.
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Context
- Venue
- Annual Conference on Computer Science Logic
- Archive span
- 1988-2026
- Indexed papers
- 1413
- Paper id
- 274893557640473352