4 Search Results for "Peters, Thomas J."


Document
Interactive Design and Simulation (Dagstuhl Seminar 19512)

Authors: Thomas A. Grandine, Jörg Peters, and Ulrich Reif

Published in: Dagstuhl Reports, Volume 9, Issue 12 (2020)


Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19512 ""Interactive Design and Simulation". After the executive summary, the collection of abstracts of the presentations forms the core of this report, complemented by an example of working group results that highlights the diversity of backgrounds and approaches.

Cite as

Thomas A. Grandine, Jörg Peters, and Ulrich Reif. Interactive Design and Simulation (Dagstuhl Seminar 19512). In Dagstuhl Reports, Volume 9, Issue 12, pp. 115-134, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@Article{grandine_et_al:DagRep.9.12.115,
  author =	{Grandine, Thomas A. and Peters, J\"{o}rg and Reif, Ulrich},
  title =	{{Interactive Design and Simulation (Dagstuhl Seminar 19512)}},
  pages =	{115--134},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{12},
  editor =	{Grandine, Thomas A. and Peters, J\"{o}rg and Reif, Ulrich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.12.115},
  URN =		{urn:nbn:de:0030-drops-120120},
  doi =		{10.4230/DagRep.9.12.115},
  annote =	{Keywords: simulation of physical systems, geometric models for engineering analysis, partial differential equations, interactive and real-time computation splines, model reduction}
}
Document
Geometric Modeling (Dagstuhl Seminar 11211)

Authors: Thomas A. Grandine, Stefanie Hahmann, Jörg Peters, and Wenping Wang

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


Abstract
This report documents the program and the results of Dagstuhl Seminar 11211 ``Geometric Modeling'', taking place May 22-27 2011. The focus of the seminar was to discuss modern and emerging topics in Geometric Modeling by researchers and industrial scientists from all over the world.

Cite as

Thomas A. Grandine, Stefanie Hahmann, Jörg Peters, and Wenping Wang. Geometric Modeling (Dagstuhl Seminar 11211). In Dagstuhl Reports, Volume 1, Issue 5, pp. 84-107, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@Article{grandine_et_al:DagRep.1.5.84,
  author =	{Grandine, Thomas A. and Hahmann, Stefanie and Peters, J\"{o}rg and Wang, Wenping},
  title =	{{Geometric Modeling (Dagstuhl Seminar 11211)}},
  pages =	{84--107},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2011},
  volume =	{1},
  number =	{5},
  editor =	{Grandine, Thomas A. and Hahmann, Stefanie and Peters, J\"{o}rg and Wang, Wenping},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.1.5.84},
  URN =		{urn:nbn:de:0030-drops-32132},
  doi =		{10.4230/DagRep.1.5.84},
  annote =	{Keywords: Geometric modeling, design, curve and surface modeling, splines, CAD, B-splines, reconstruction, subdivision methods, multiresolution, parameterization}
}
Document
Floating Point Geometric Algorithms for Topologically Correct Scientific Visualization

Authors: Thomas J. Peters and Edward L. F. Moore

Published in: Dagstuhl Seminar Proceedings, Volume 6021, Reliable Implementation of Real Number Algorithms: Theory and Practice (2006)


Abstract
The unresolved subtleties of floating point computations in geometric modeling become considerably more difficult in animations and scientific visualizations. Some emerging solutions based upon topological considerations will be presented. A novel geometric seeding algorithm for Newton's method was used in experiments to determine feasible support for these visualization applications.

Cite as

Thomas J. Peters and Edward L. F. Moore. Floating Point Geometric Algorithms for Topologically Correct Scientific Visualization. In Reliable Implementation of Real Number Algorithms: Theory and Practice. Dagstuhl Seminar Proceedings, Volume 6021, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{peters_et_al:DagSemProc.06021.5,
  author =	{Peters, Thomas J. and Moore, Edward L. F.},
  title =	{{Floating Point Geometric Algorithms for Topologically Correct Scientific Visualization}},
  booktitle =	{Reliable Implementation of Real Number Algorithms: Theory and Practice},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6021},
  editor =	{Peter Hertling and Christoph M. Hoffmann and Wolfram Luther and Nathalie Revol},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.06021.5},
  URN =		{urn:nbn:de:0030-drops-7176},
  doi =		{10.4230/DagSemProc.06021.5},
  annote =	{Keywords: Geometry, algorithm, visualization}
}
Document
Integrating Topology and Geometry for Macro-Molecular Simulations

Authors: Edward L. F. Moore, Thomas J. Peters, David R. Ferguson, and Neil F. Stewart

Published in: Dagstuhl Seminar Proceedings, Volume 4351, Spatial Representation: Discrete vs. Continuous Computational Models (2005)


Abstract
Emerging macro-molecular simulations, such as supercoiling of DNA and protein unfolding, have an opportunity to profit from two decades of experience with geometric models within computer-aided geometric design (CAGD). For CAGD, static models are often sufficient, while form and function are inextricably related in biochemistry, resulting in greater attention to critical topological characteristics of these dynamic models. The greater emphasis upon dynamic change in macro-molecular simulations imposes increased demands for faithful integration of topology and geometry, as well as much stricter requirements for computational efficiency. This article presents transitions from the CAGD domain to meet the greater fidelity and performance demands for macro-molecular simulations.

Cite as

Edward L. F. Moore, Thomas J. Peters, David R. Ferguson, and Neil F. Stewart. Integrating Topology and Geometry for Macro-Molecular Simulations. In Spatial Representation: Discrete vs. Continuous Computational Models. Dagstuhl Seminar Proceedings, Volume 4351, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)


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@InProceedings{moore_et_al:DagSemProc.04351.16,
  author =	{Moore, Edward L. F. and Peters, Thomas J. and Ferguson, David R. and Stewart, Neil F.},
  title =	{{Integrating Topology and Geometry for Macro-Molecular Simulations}},
  booktitle =	{Spatial Representation: Discrete vs. Continuous Computational Models},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{4351},
  editor =	{Ralph Kopperman and Michael B. Smyth and Dieter Spreen and Julian Webster},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.04351.16},
  URN =		{urn:nbn:de:0030-drops-1240},
  doi =		{10.4230/DagSemProc.04351.16},
  annote =	{Keywords: Computational topology , spline , approximation}
}
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