اشترك بالحزمة الذهبية واحصل على وصول غير محدود شمرا أكاديميا
تسجيل مستخدم جديدSmoothed complexity of local Max-Cut and binary Max-CSP
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نشر من قبل
Emmanouil Vasileios Vlatakis Gkaragkounis
تاريخ النشر
2019
مجال البحث
الهندسة المعلوماتية
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English
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We show that the smoothed complexity of the FLIP algorithm for local Max-Cut is at most $smash{phi n^{O(sqrt{log n})}}$, where $n$ is the number of nodes in the graph and $phi$ is a parameter that measures the magnitude of perturbations applied on its edge weights. This improves the previously best upper bound of $phi n^{O(log n)}$ by Etscheid and R{o}glin. Our result is based on an analysis of long sequences of flips, which shows~that~it is very unlikely for every flip in a long sequence to incur a positive but small improvement in the cut weight. We also extend the same upper bound on the smoothed complexity of FLIP to all binary Maximum Constraint Satisfaction Problems.
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