Parameterized Complexity  (Advanced Course 2024 – 25)

Lecturer

Room

Lecture times

  1.   Monday, July 14, 10.30—12.30
  2.   Tuesday, July 15, 10.30—12.30
  3.   Wednesday, July 16, 10.30—12.30
  4.   Thursday, July 17, 10.30—12.30
  5.   Friday, July 18, 14.30—16.30

Overview at a glance

Overview Advanced Course Parameterized Complexity at a Glance

Syllabus

Parameterized complexity theory is concerned with a refined analysis of computational problems. The computational effort needed to decide a problem is described by (1+k)-ary functions that depend not only on the size of problem instances, but also on k ≥ 1 parameters that quantify relevant structural properties of instances. Many intractable problems can be classified to be Fixed-Parameter Tractable (FPT) for appropriate choices of parameter(s). Such FPT problems are frequently tractable in practice for instances with small parameters.

The course is an interleaving of two parts, which focus on algorithmic (A) aspects, and on Formal Methods (FM) viewpoints:

Books

Lectures

  1. Introduction and Basic FPT-Results (slides handout, slides, worksheet).
  2. Graph width notions, dynamical programming (slides handout, slides, worksheet)
  3. Algorithmic Meta-Theorems (slides handout, slides, worksheet)
  4. Algorithmic Meta-Theorems (continued), Fixed-Parameter Intractability (started (slides handout, slides) (all-together worksheet)
  5. Fixed-Parameter Intractability (slides handout, slides), question hour, discussion (updated worksheet)

Clemens Grabmayer / www: https://clegra.github.io / mailto: c one dot a one dot grabmayer one at gmail one dot com / Last modified: Sun 20 Jul 2025 18:20 CEST /Valid HTML 4.01 Transitional /