Subexponential-Time Parameterized Algorithm for Steiner Tree on Planar Graphs

نویسندگان

  • Marcin Pilipczuk
  • Michal Pilipczuk
  • Piotr Sankowski
  • Erik Jan van Leeuwen
چکیده

The well-known bidimensionality theory provides a method for designing fast, subexponentialtime parameterized algorithms for a vast number of NP-hard problems on sparse graph classes such as planar graphs, bounded genus graphs, or, more generally, graphs with a fixed excluded minor. However, in order to apply the bidimensionality framework the considered problem needs to fulfill a special density property. Some well-known problems do not have this property, unfortunately, with probably the most prominent and important example being the Steiner Tree problem. Hence the question whether a subexponential-time parameterized algorithm for Steiner Tree on planar graphs exists has remained open. In this paper, we answer this question positively and develop an algorithm running in O(2O((k log k)2/3) n) time and polynomial space, where k is the size of the Steiner tree and n is the number of vertices of the graph. Our algorithm does not rely on tools from bidimensionality theory or graph minors theory, apart from Baker’s classical approach. Instead, we introduce new tools and concepts to the study of the parameterized complexity of problems on sparse graphs. 1998 ACM Subject Classification G.2.2 Graphs Algorithms

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Subexponential Parameterized Algorithms for Graphs of Polynomial Growth

We show that for a number of parameterized problems for which only 2O(k)nO(1) time algorithms are known on general graphs, subexponential parameterized algorithms with running time 2O(k 1− 1 1+δ log2 k)nO(1) are possible for graphs of polynomial growth with growth rate (degree) δ, that is, if we assume that every ball of radius r contains only O(r) vertices. The algorithms use the technique of ...

متن کامل

On subexponential parameterized algorithms for Steiner Tree and Directed Subset TSP on planar graphs

There are numerous examples of the so-called “square root phenomenon” in the field of parameterized algorithms: many of the most fundamental graph problems, parameterized by some natural parameter k, become significantly simpler when restricted to planar graphs and in particular the best possible running time is exponential in O( √ k) instead of O(k) (modulo standard complexity assumptions). We...

متن کامل

Parameterized Complexity of Directed Steiner Tree on Sparse Graphs

We study the parameterized complexity of the directed variant of the classical Steiner Tree problem on various classes of directed sparse graphs. While the parameterized complexity of Steiner Tree parameterized by the number of terminals is well understood, not much is known about the parameterization by the number of non-terminals in the solution tree. All that is known for this parameterizati...

متن کامل

Beyond Bidimensionality: Parameterized Subexponential Algorithms on Directed Graphs

In 2000 Alber et al. [SWAT 2000 ] obtained the first parameterized subexponential algorithm on undirected planar graphs by showing that k-DOMINATING SET is solvable in time 2O( √ k)nO(1), where n is the input size. This result triggered an extensive study of parameterized problems on planar and more general classes of sparse graphs and culminated in the creation of Bidimensionality Theory by De...

متن کامل

Faster Approximation Schemes and Parameterized Algorithms on H-Minor-Free and Odd-Minor-Free Graphs

We improve the running time of the general algorithmic technique known as Baker’s approach (1994) on H-minor-free graphs from O(n) to O(f(|H |)n) showing that it is fixed-parameter tractable w.r.t. the parameter |H |. The numerous applications include e.g. a 2-approximation for coloring and PTASes for various problems such as dominating set and max-cut, where we obtain similar improvements. On ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013