KOMM MIT PDF

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Corvelo Benz: Call admission problems on trees. Wegner: An analysis of call admission problems on grids. Buff: Using additional information in streaming algorithms. Hammann: The online vertex cover problem with advice. Jostock: Online maximum weighted matching with advice. Wehner: New concepts in advice complexity of job shop scheduling. Dohrau: Online makespan scheduling with sublinear advice.

Also researchers will find this a valuable reference for the recent field of advice complexity. Book Chapter H. Komm: Reoptimization of hard optimization problems. Editorial Work H.

Pdf komm mit

Komm, and W. Komm: Approximation and Parameterization.

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Available online via mdpi. Invited Publications in Books and Proceedings T. Kohn and D. Komm: Denn sie wissen nicht, was sie programmieren.

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Informatik Spektrum 42 2 —, Hauser, D. Komm, and G. Hauser and D. Komm: Interdisciplinary education in mathematics and informatics at swiss high schools. PDF available online at bulletin.

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Kohn, D. Serafini: Algorithmic thinking from the start. Komm: A technique to obtain hardness results for randomized online algorithms. Komm, R. Rossmanith: On the power of randomness versus advice in online computation.

Publications in Refereed Journals E. Burjons, D.

Komm, and M. Algorithmica 81 5 , , pages — Bianchi, H. Komm, and B.

Palano: Online minimum spanning tree with advice. International Journal of Foundations of Computer Science 29 4 , , pages — Dobrev, J. Edmonds, D. Krug, and T.

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Theoretical Computer Science , , pages 96— Introduction The human body is a complex organism with a high individual variability, which complicates the exchange of information about the respective peculiarity of a particular patient.

One example is the entanglement of the intrahepatic vessel systems and their spatial relationships to pathological structures e. Preoperative knowledge of the patient-individual anatomy of these structures is a key factor for successful liver interventions [1] , [2].

This knowledge can be obtained by the analysis of patient image data and the determination of anatomically precise individual models of the hepatic vessels and their perfusing and draining territories.

The creation of these models is the domain of computer assisted surgical planning CASP [1] , [2].

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Results of a CASP need to be communicated with their users, which comprises A presenting visualizing and B sharing the result data itself and the associated auxiliary or meta data. Since a major issue in liver surgery is the three-dimensional 3D complexity of the intrahepatic vessels and structures, the visualization should be 3D as well [3].

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