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Documents authored by Mutzel, Petra


Document
Minimum-Error Triangulations for Sea Surface Reconstruction

Authors: Anna Arutyunova, Anne Driemel, Jan-Henrik Haunert, Herman Haverkort, Jürgen Kusche, Elmar Langetepe, Philip Mayer, Petra Mutzel, and Heiko Röglin

Published in: LIPIcs, Volume 224, 38th International Symposium on Computational Geometry (SoCG 2022)


Abstract
We apply state-of-the-art computational geometry methods to the problem of reconstructing a time-varying sea surface from tide gauge records. Our work builds on a recent article by Nitzke et al. (Computers & Geosciences, 157:104920, 2021) who have suggested to learn a triangulation D of a given set of tide gauge stations. The objective is to minimize the misfit of the piecewise linear surface induced by D to a reference surface that has been acquired with satellite altimetry. The authors restricted their search to k-order Delaunay (k-OD) triangulations and used an integer linear program in order to solve the resulting optimization problem. In geometric terms, the input to our problem consists of two sets of points in ℝ² with elevations: a set 𝒮 that is to be triangulated, and a set ℛ of reference points. Intuitively, we define the error of a triangulation as the average vertical distance of a point in ℛ to the triangulated surface that is obtained by interpolating elevations of 𝒮 linearly in each triangle. Our goal is to find the triangulation of 𝒮 that has minimum error with respect to ℛ. In our work, we prove that the minimum-error triangulation problem is NP-hard and cannot be approximated within any multiplicative factor in polynomial time unless P = NP. At the same time we show that the problem instances that occur in our application (considering sea level data from several hundreds of tide gauge stations worldwide) can be solved relatively fast using dynamic programming when restricted to k-OD triangulations for k ≤ 7. In particular, instances for which the number of connected components of the so-called k-OD fixed-edge graph is small can be solved within few seconds.

Cite as

Anna Arutyunova, Anne Driemel, Jan-Henrik Haunert, Herman Haverkort, Jürgen Kusche, Elmar Langetepe, Philip Mayer, Petra Mutzel, and Heiko Röglin. Minimum-Error Triangulations for Sea Surface Reconstruction. In 38th International Symposium on Computational Geometry (SoCG 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 224, pp. 7:1-7:18, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022)


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@InProceedings{arutyunova_et_al:LIPIcs.SoCG.2022.7,
  author =	{Arutyunova, Anna and Driemel, Anne and Haunert, Jan-Henrik and Haverkort, Herman and Kusche, J\"{u}rgen and Langetepe, Elmar and Mayer, Philip and Mutzel, Petra and R\"{o}glin, Heiko},
  title =	{{Minimum-Error Triangulations for Sea Surface Reconstruction}},
  booktitle =	{38th International Symposium on Computational Geometry (SoCG 2022)},
  pages =	{7:1--7:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-227-3},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{224},
  editor =	{Goaoc, Xavier and Kerber, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2022.7},
  URN =		{urn:nbn:de:0030-drops-160155},
  doi =		{10.4230/LIPIcs.SoCG.2022.7},
  annote =	{Keywords: Minimum-Error Triangulation, k-Order Delaunay Triangulations, Data dependent Triangulations, Sea Surface Reconstruction, fixed-Edge Graph}
}
Document
Complete Volume
LIPIcs, Volume 204, ESA 2021, Complete Volume

Authors: Petra Mutzel, Rasmus Pagh, and Grzegorz Herman

Published in: LIPIcs, Volume 204, 29th Annual European Symposium on Algorithms (ESA 2021)


Abstract
LIPIcs, Volume 204, ESA 2021, Complete Volume

Cite as

Petra Mutzel, Rasmus Pagh, and Grzegorz Herman. LIPIcs, Volume 204, ESA 2021, Complete Volume. In 29th Annual European Symposium on Algorithms (ESA 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 204, pp. 1-1340, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)


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@Proceedings{mutzel_et_al:LIPIcs.ESA.2021,
  title =	{{LIPIcs, Volume 204, ESA 2021, Complete Volume}},
  booktitle =	{29th Annual European Symposium on Algorithms (ESA 2021)},
  pages =	{1--1340},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-204-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{204},
  editor =	{Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2021},
  URN =		{urn:nbn:de:0030-drops-145808},
  doi =		{10.4230/LIPIcs.ESA.2021},
  annote =	{Keywords: LIPIcs, Volume 204, ESA 2021, Complete Volume}
}
Document
Front Matter
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Petra Mutzel, Rasmus Pagh, and Grzegorz Herman

Published in: LIPIcs, Volume 204, 29th Annual European Symposium on Algorithms (ESA 2021)


Abstract
Front Matter, Table of Contents, Preface, Conference Organization

Cite as

Petra Mutzel, Rasmus Pagh, and Grzegorz Herman. Front Matter, Table of Contents, Preface, Conference Organization. In 29th Annual European Symposium on Algorithms (ESA 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 204, pp. 0:i-0:xx, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)


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@InProceedings{mutzel_et_al:LIPIcs.ESA.2021.0,
  author =	{Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{29th Annual European Symposium on Algorithms (ESA 2021)},
  pages =	{0:i--0:xx},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-204-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{204},
  editor =	{Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2021.0},
  URN =		{urn:nbn:de:0030-drops-145816},
  doi =		{10.4230/LIPIcs.ESA.2021.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Invited Talk
Algorithmic Data Science (Invited Talk)

Authors: Petra Mutzel

Published in: LIPIcs, Volume 126, 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019)


Abstract
The area of algorithmic data science provides new opportunities for researchers in the algorithmic community. In this paper we will see examples that demonstrate that algorithm engineering is the perfect basis for algorithmic data science. But there are also many open interesting questions for purely theoretically interested computer scientists. In my opinion, these opportunities should be taken because this will be fruitful for both areas, algorithmics as well as data sciences. I like to call for more participation in algorithmic data science by our community. Now we have the opportunity to shape this new emerging field.

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Petra Mutzel. Algorithmic Data Science (Invited Talk). In 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 126, pp. 3:1-3:15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2019)


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@InProceedings{mutzel:LIPIcs.STACS.2019.3,
  author =	{Mutzel, Petra},
  title =	{{Algorithmic Data Science}},
  booktitle =	{36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019)},
  pages =	{3:1--3:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-100-9},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{126},
  editor =	{Niedermeier, Rolf and Paul, Christophe},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2019.3},
  URN =		{urn:nbn:de:0030-drops-102425},
  doi =		{10.4230/LIPIcs.STACS.2019.3},
  annote =	{Keywords: Algorithmic Data Science, Graph Similarity, Weisfeiler-Leman}
}
Document
Largest Weight Common Subtree Embeddings with Distance Penalties

Authors: Andre Droschinsky, Nils M. Kriege, and Petra Mutzel

Published in: LIPIcs, Volume 117, 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)


Abstract
The largest common embeddable subtree problem asks for the largest possible tree embeddable into two input trees and generalizes the classical maximum common subtree problem. Several variants of the problem in labeled and unlabeled rooted trees have been studied, e.g., for the comparison of evolutionary trees. We consider a generalization, where the sought embedding is maximal with regard to a weight function on pairs of labels. We support rooted and unrooted trees with vertex and edge labels as well as distance penalties for skipping vertices. This variant is important for many applications such as the comparison of chemical structures and evolutionary trees. Our algorithm computes the solution from a series of bipartite matching instances, which are solved efficiently by exploiting their structural relation and imbalance. Our analysis shows that our approach improves or matches the running time of the formally best algorithms for several problem variants. Specifically, we obtain a running time of O(|T| |T'|Delta) for two rooted or unrooted trees T and T', where Delta=min{Delta(T),Delta(T')} with Delta(X) the maximum degree of X. If the weights are integral and at most C, we obtain a running time of O(|T| |T'|sqrt Delta log (C min{|T|,|T'|})) for rooted trees.

Cite as

Andre Droschinsky, Nils M. Kriege, and Petra Mutzel. Largest Weight Common Subtree Embeddings with Distance Penalties. In 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 117, pp. 54:1-54:15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)


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@InProceedings{droschinsky_et_al:LIPIcs.MFCS.2018.54,
  author =	{Droschinsky, Andre and Kriege, Nils M. and Mutzel, Petra},
  title =	{{Largest Weight Common Subtree Embeddings with Distance Penalties}},
  booktitle =	{43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018)},
  pages =	{54:1--54:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-086-6},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{117},
  editor =	{Potapov, Igor and Spirakis, Paul and Worrell, James},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2018.54},
  URN =		{urn:nbn:de:0030-drops-96367},
  doi =		{10.4230/LIPIcs.MFCS.2018.54},
  annote =	{Keywords: maximum common subtree, largest embeddable subtree, topological embedding, maximum weight matching, subtree homeomorphism}
}
Document
Crossing Number for Graphs with Bounded~Pathwidth

Authors: Therese Biedl, Markus Chimani, Martin Derka, and Petra Mutzel

Published in: LIPIcs, Volume 92, 28th International Symposium on Algorithms and Computation (ISAAC 2017)


Abstract
The crossing number is the smallest number of pairwise edge crossings when drawing a graph into the plane. There are only very few graph classes for which the exact crossing number is known or for which there at least exist constant approximation ratios. Furthermore, up to now, general crossing number computations have never been successfully tackled using bounded width of graph decompositions, like treewidth or pathwidth. In this paper, we for the first time show that crossing number is tractable (even in linear time) for maximal graphs of bounded pathwidth 3. The technique also shows that the crossing number and the rectilinear (a.k.a. straight-line) crossing number are identical for this graph class, and that we require only an O(n)xO(n)-grid to achieve such a drawing. Our techniques can further be extended to devise a 2-approximation for general graphs with pathwidth 3, and a 4w^3-approximation for maximal graphs of pathwidth w. This is a constant approximation for bounded pathwidth graphs.

Cite as

Therese Biedl, Markus Chimani, Martin Derka, and Petra Mutzel. Crossing Number for Graphs with Bounded~Pathwidth. In 28th International Symposium on Algorithms and Computation (ISAAC 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 92, pp. 13:1-13:13, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2017)


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@InProceedings{biedl_et_al:LIPIcs.ISAAC.2017.13,
  author =	{Biedl, Therese and Chimani, Markus and Derka, Martin and Mutzel, Petra},
  title =	{{Crossing Number for Graphs with Bounded\textasciitildePathwidth}},
  booktitle =	{28th International Symposium on Algorithms and Computation (ISAAC 2017)},
  pages =	{13:1--13:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-054-5},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{92},
  editor =	{Okamoto, Yoshio and Tokuyama, Takeshi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.13},
  URN =		{urn:nbn:de:0030-drops-82570},
  doi =		{10.4230/LIPIcs.ISAAC.2017.13},
  annote =	{Keywords: Crossing Number, Graphs with Bounded Pathwidth}
}
Document
A Sidetrack-Based Algorithm for Finding the k Shortest Simple Paths in a Directed Graph

Authors: Denis Kurz and Petra Mutzel

Published in: LIPIcs, Volume 64, 27th International Symposium on Algorithms and Computation (ISAAC 2016)


Abstract
We present an algorithm for the k shortest simple path problem on weighted directed graphs (kSSP) that is based on Eppstein’s algorithm for a similar problem in which paths are allowed to contain cycles. In contrast to most other algorithms for kSSP, ours is not based on Yen's algorithm [Networks, 1971] and does not solve replacement path problems. Its worst-case running time is on par with state-of-the-art algorithms for kSSP. Using our algorithm, one may find O(m) simple paths with a single shortest path tree computation and O(n+m) additional time per path in well-behaved cases, where n is the number of nodes and m is the number of edges. Our computational results show that on random graphs and large road networks, these well-behaved cases are quite common and our algorithm is faster than existing algorithms by an order of magnitude.

Cite as

Denis Kurz and Petra Mutzel. A Sidetrack-Based Algorithm for Finding the k Shortest Simple Paths in a Directed Graph. In 27th International Symposium on Algorithms and Computation (ISAAC 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 64, pp. 49:1-49:13, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2016)


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@InProceedings{kurz_et_al:LIPIcs.ISAAC.2016.49,
  author =	{Kurz, Denis and Mutzel, Petra},
  title =	{{A Sidetrack-Based Algorithm for Finding the k Shortest Simple Paths in a Directed Graph}},
  booktitle =	{27th International Symposium on Algorithms and Computation (ISAAC 2016)},
  pages =	{49:1--49:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-026-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{64},
  editor =	{Hong, Seok-Hee},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2016.49},
  URN =		{urn:nbn:de:0030-drops-68199},
  doi =		{10.4230/LIPIcs.ISAAC.2016.49},
  annote =	{Keywords: directed graph, k-best, shortest path, simple path, weighted graph}
}
Document
Faster Algorithms for the Maximum Common Subtree Isomorphism Problem

Authors: Andre Droschinsky, Nils M. Kriege, and Petra Mutzel

Published in: LIPIcs, Volume 58, 41st International Symposium on Mathematical Foundations of Computer Science (MFCS 2016)


Abstract
The maximum common subtree isomorphism problem asks for the largest possible isomorphism between subtrees of two given input trees. This problem is a natural restriction of the maximum common subgraph problem, which is NP-hard in general graphs. Confining to trees renders polynomial time algorithms possible and is of fundamental importance for approaches on more general graph classes.Various variants of this problem in trees have been intensively studied. We consider the general case, where trees are neither rooted nor ordered and the isomorphism is maximum w.r.t. a weight function on the mapped vertices and edges. For trees of order n and maximum degree Delta our algorithm achieves a running time of O(n^2*Delta) by exploiting the structure of the matching instances arising as subproblems. Thus our algorithm outperforms the best previously known approaches. No faster algorithm is possible for trees of bounded degree and for trees of unbounded degree we show that a further reduction of the running time would directly improve the best known approach to the assignment problem. Combining a polynomial-delay algorithm for the enumeration of all maximum common subtree isomorphisms with central ideas of our new algorithm leads to an improvement of its running time from O(n^6+T*n^2) to O(n^3+T*n*Delta), where n is the order of the larger tree, T is the number of different solutions, and Delta is the minimum of the maximum degrees of the input trees. Our theoretical results are supplemented by an experimental evaluation on synthetic and real-world instances.

Cite as

Andre Droschinsky, Nils M. Kriege, and Petra Mutzel. Faster Algorithms for the Maximum Common Subtree Isomorphism Problem. In 41st International Symposium on Mathematical Foundations of Computer Science (MFCS 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 58, pp. 33:1-33:14, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2016)


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@InProceedings{droschinsky_et_al:LIPIcs.MFCS.2016.33,
  author =	{Droschinsky, Andre and Kriege, Nils M. and Mutzel, Petra},
  title =	{{Faster Algorithms for the Maximum Common Subtree Isomorphism Problem}},
  booktitle =	{41st International Symposium on Mathematical Foundations of Computer Science (MFCS 2016)},
  pages =	{33:1--33:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-016-3},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{58},
  editor =	{Faliszewski, Piotr and Muscholl, Anca and Niedermeier, Rolf},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2016.33},
  URN =		{urn:nbn:de:0030-drops-64475},
  doi =		{10.4230/LIPIcs.MFCS.2016.33},
  annote =	{Keywords: MCS, maximum common subtree, enumeration algorithms, maximum weight bipartite matchings}
}
Document
Graph Drawing with Algorithm Engineering Methods (Dagstuhl Seminar 11191)

Authors: Camil Demetrescu, Michael Kaufmann, Stephen Kobourov, and Petra Mutzel

Published in: Dagstuhl Reports, Volume 1, Issue 5 (2011)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 11191 ``Graph Drawing with Algorithm Engineering Methods''. We summarize the talks, open problems, and working group discussions.

Cite as

Camil Demetrescu, Michael Kaufmann, Stephen Kobourov, and Petra Mutzel. Graph Drawing with Algorithm Engineering Methods (Dagstuhl Seminar 11191). In Dagstuhl Reports, Volume 1, Issue 5, pp. 47-60, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2011)


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@Article{demetrescu_et_al:DagRep.1.5.47,
  author =	{Demetrescu, Camil and Kaufmann, Michael and Kobourov, Stephen and Mutzel, Petra},
  title =	{{Graph Drawing with Algorithm Engineering Methods (Dagstuhl Seminar 11191)}},
  pages =	{47--60},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2011},
  volume =	{1},
  number =	{5},
  editor =	{Demetrescu, Camil and Kaufmann, Michael and Kobourov, Stephen and Mutzel, Petra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.1.5.47},
  URN =		{urn:nbn:de:0030-drops-32046},
  doi =		{10.4230/DagRep.1.5.47},
  annote =	{Keywords: Algorithm Engineering, Graph Drawing}
}
Document
10261 Abstracts Collection – Algorithm Engineering

Authors: Giuseppe F. Italiano, David S. Johnson, Petra Mutzel, and Peter Sanders

Published in: Dagstuhl Seminar Proceedings, Volume 10261, Algorithm Engineering (2010)


Abstract
From June 27 to July 2, the Dagstuhl Seminar 10261 ``Algorithm Engineering '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Giuseppe F. Italiano, David S. Johnson, Petra Mutzel, and Peter Sanders. 10261 Abstracts Collection – Algorithm Engineering. In Algorithm Engineering. Dagstuhl Seminar Proceedings, Volume 10261, pp. 1-10, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2010)


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@InProceedings{italiano_et_al:DagSemProc.10261.1,
  author =	{Italiano, Giuseppe F. and Johnson, David S. and Mutzel, Petra and Sanders, Peter},
  title =	{{10261 Abstracts Collection – Algorithm Engineering}},
  booktitle =	{Algorithm Engineering},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10261},
  editor =	{Giuseppe F. Italiano and David S. Johnson and Petra Mutzel and Peter Sanders},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10261.1},
  URN =		{urn:nbn:de:0030-drops-28179},
  doi =		{10.4230/DagSemProc.10261.1},
  annote =	{Keywords: Experimental algorithmics, Game theory, Parallel and distributed algorithms, Multi-core}
}
Document
10261 Executive Summary – Algorithm Engineering

Authors: Giuseppe F. Italiano, David S. Johnson, Petra Mutzel, and Peter Sanders

Published in: Dagstuhl Seminar Proceedings, Volume 10261, Algorithm Engineering (2010)


Abstract
Algorithm engineering (AE) consists of the design, theoretical analysis, implementation, and experimental evaluation of algorithms, with the aim of bridging the gap between theory and practice in the area of algorithms. In the last decade, this approach to algorithmic research has gained increasing attention. The aim of this seminar was to bring together researchers with different backgrounds, e.g., from combinatorial optimization, algorithmic theory, and algorithm engineering, in order to strengthen and foster collaborations in the area of algorithm engineering and to identify key research directions for the future.

Cite as

Giuseppe F. Italiano, David S. Johnson, Petra Mutzel, and Peter Sanders. 10261 Executive Summary – Algorithm Engineering. In Algorithm Engineering. Dagstuhl Seminar Proceedings, Volume 10261, pp. 1-2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2010)


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@InProceedings{italiano_et_al:DagSemProc.10261.2,
  author =	{Italiano, Giuseppe F. and Johnson, David S. and Mutzel, Petra and Sanders, Peter},
  title =	{{10261 Executive Summary – Algorithm Engineering}},
  booktitle =	{Algorithm Engineering},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10261},
  editor =	{Giuseppe F. Italiano and David S. Johnson and Petra Mutzel and Peter Sanders},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10261.2},
  URN =		{urn:nbn:de:0030-drops-27966},
  doi =		{10.4230/DagSemProc.10261.2},
  annote =	{Keywords: Experimental algorithmics, Game theory, Parallel and distributed algorithms, Multi-core}
}
Document
08191 Abstracts Collection – Graph Drawing with Applications to Bioinformatics and Social Sciences

Authors: Stephen Borgatti, Stephen Kobourov, Oliver Kohlbacher, and Petra Mutzel

Published in: Dagstuhl Seminar Proceedings, Volume 8191, Graph Drawing with Applications to Bioinformatics and Social Sciences (2008)


Abstract
From May 4 to May 9, 2008, the Dagstuhl Seminar 08191 ``Graph Drawing with Applications to Bioinformatics and Social Sciences'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Stephen Borgatti, Stephen Kobourov, Oliver Kohlbacher, and Petra Mutzel. 08191 Abstracts Collection – Graph Drawing with Applications to Bioinformatics and Social Sciences. In Graph Drawing with Applications to Bioinformatics and Social Sciences. Dagstuhl Seminar Proceedings, Volume 8191, pp. 1-10, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)


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@InProceedings{borgatti_et_al:DagSemProc.08191.1,
  author =	{Borgatti, Stephen and Kobourov, Stephen and Kohlbacher, Oliver and Mutzel, Petra},
  title =	{{08191 Abstracts Collection – Graph Drawing with Applications to Bioinformatics and Social Sciences}},
  booktitle =	{Graph Drawing with Applications to Bioinformatics and Social Sciences},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8191},
  editor =	{Stephen P. Borgatti and Stephen Kobourov and Oliver Kohlbacher and Petra Mutzel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08191.1},
  URN =		{urn:nbn:de:0030-drops-15547},
  doi =		{10.4230/DagSemProc.08191.1},
  annote =	{Keywords: Graph drawing, visualization, social sciences, bioinformatics}
}
Document
08191 Executive Summary – Graph Drawing with Applications to Bioinformatics and Social Sciences

Authors: Stephen Borgatti, Stephen Kobourov, Oliver Kohlbacher, and Petra Mutzel

Published in: Dagstuhl Seminar Proceedings, Volume 8191, Graph Drawing with Applications to Bioinformatics and Social Sciences (2008)


Abstract
Graph drawing deals with the problem of communicating the structure of relational data through diagrams, or drawings. The ability to represent relational information in a graphical form is a powerful tool which allows to perform analysis through visual exploration to find important patterns, trends, and correlations. Real-world applications such as bioinformatics and sociology pose challenges to the relational visualization because, e.g., semantic information carried by the diagram has to be used for obtaining meaningful layouts and application-specific drawing conventions need to be fulfilled. Moreover, the underlying data often stems from huge data bases, but only a small fraction shall be displayed at a time; the user interactively selects the data to be displayed and explores the graph by expanding interesting and collapsing irrelevant parts. This requires powerful graph exploration tools with navigation capabilities that allow dynamic adaption of the graph layout in real time. In this seminar we focused on the application of graph drawing in two important application domains: bioinformatics and social sciences. We brought together theoreticians and practitioners from these areas and focused on problems concerning interaction with and navigation in large and dynamic networks arising in these application areas; During the seminar, we identified and defined open graph drawing problems that are motivated by practical applications in the targeted application areas, tackled selected open problems, formulated the findings as a first step to the solution, and defined further research directions.

Cite as

Stephen Borgatti, Stephen Kobourov, Oliver Kohlbacher, and Petra Mutzel. 08191 Executive Summary – Graph Drawing with Applications to Bioinformatics and Social Sciences. In Graph Drawing with Applications to Bioinformatics and Social Sciences. Dagstuhl Seminar Proceedings, Volume 8191, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)


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@InProceedings{borgatti_et_al:DagSemProc.08191.2,
  author =	{Borgatti, Stephen and Kobourov, Stephen and Kohlbacher, Oliver and Mutzel, Petra},
  title =	{{08191 Executive Summary – Graph Drawing with Applications to Bioinformatics and Social Sciences}},
  booktitle =	{Graph Drawing with Applications to Bioinformatics and Social Sciences},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8191},
  editor =	{Stephen P. Borgatti and Stephen Kobourov and Oliver Kohlbacher and Petra Mutzel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08191.2},
  URN =		{urn:nbn:de:0030-drops-15523},
  doi =		{10.4230/DagSemProc.08191.2},
  annote =	{Keywords: Graph drawing, visualization, social sciences, bioinformatics}
}
Document
05191 Abstracts Collection – Graph Drawing

Authors: Michael Jünger, Petra Mutzel, and Stephen Kobourov

Published in: Dagstuhl Seminar Proceedings, Volume 5191, Graph Drawing (2006)


Abstract
From 08.05.05 to 13.05.05, the Dagstuhl Seminar 05191 ``Graph Drawing'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Michael Jünger, Petra Mutzel, and Stephen Kobourov. 05191 Abstracts Collection – Graph Drawing. In Graph Drawing. Dagstuhl Seminar Proceedings, Volume 5191, pp. 1-15, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2006)


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@InProceedings{junger_et_al:DagSemProc.05191.1,
  author =	{J\"{u}nger, Michael and Mutzel, Petra and Kobourov, Stephen},
  title =	{{05191 Abstracts Collection – Graph Drawing}},
  booktitle =	{Graph Drawing},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5191},
  editor =	{Michael J\"{u}nger and Stephen Kobourov and Petra Mutzel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05191.1},
  URN =		{urn:nbn:de:0030-drops-3485},
  doi =		{10.4230/DagSemProc.05191.1},
  annote =	{Keywords: Graph Drawing, Visualization, Layout Algorithms, Interactive Visualization}
}
Document
05191 Executive Summary – Graph Drawing

Authors: Michael Jünger, Stephen Kobourov, and Petra Mutzel

Published in: Dagstuhl Seminar Proceedings, Volume 5191, Graph Drawing (2006)


Abstract
This paper summarizes the topics, aims, and achievements of the Dagstuhl Seminar 05191 on Graph Drawing.

Cite as

Michael Jünger, Stephen Kobourov, and Petra Mutzel. 05191 Executive Summary – Graph Drawing. In Graph Drawing. Dagstuhl Seminar Proceedings, Volume 5191, pp. 1-3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2006)


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@InProceedings{junger_et_al:DagSemProc.05191.2,
  author =	{J\"{u}nger, Michael and Kobourov, Stephen and Mutzel, Petra},
  title =	{{05191 Executive Summary – Graph Drawing}},
  booktitle =	{Graph Drawing},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5191},
  editor =	{Michael J\"{u}nger and Stephen Kobourov and Petra Mutzel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05191.2},
  URN =		{urn:nbn:de:0030-drops-3420},
  doi =		{10.4230/DagSemProc.05191.2},
  annote =	{Keywords: Graph drawing}
}
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