Parameterized Problems Complete for Nondeterministic FPT Time and Logarithmic Space
Hausdorff Center for Mathematics via YouTube
AI, Data Science & Cloud Certificates from Google, IBM & Meta
The Private Equity Associate Certification
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore a 29-minute lecture on parameterized problems complete for nondeterministic FPT time and logarithmic space. Delve into the class XNLP, which encompasses parameterized problems solvable nondeterministically in f(k)n^O(1) time and f(k) log(n) space. Discover a wide array of XNLP-complete problems, including List Coloring, Precoloring Extension with pathwidth parameter, Scheduling of Jobs with Precedence Constraints, Bandwidth, and variants of Weighted CNF-Satisfiability and reconfiguration problems. Learn about the implications of these findings, such as the W[t]-hardness for all t and the resolution of a long-standing question on the parameterized complexity of the Bandwidth problem. Gain insights from the collaborative work of Hans Bodlaender, Carla Groenland, Jesper Nederlof, and Céline Swennenhuis at the Hausdorff Center for Mathematics.
Syllabus
Hans Bodlaender: Parameterized Problems Complete for Nondeterministic FPT time and Logarithmic Space
Taught by
Hausdorff Center for Mathematics