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Topological Methods in Data Analysis and Visualization - Valerio Pascucci
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Valerio Pascucci:

Topological Methods in Data Analysis and Visualization - edition reliée, livre de poche

2009, ISBN: 9783642150135

ID: 9783642150135

Theory, Algorithms, and Applications Topology-based methods are of increasing importance in the analysis and visualization of dataset from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. (see also below for a list of selected issues). While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. In this forum the editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany). Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 `TopoInVis` workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany). Topological Methods in Data Analysis and Visualization: Topology-based methods are of increasing importance in the analysis and visualization of dataset from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. (see also below for a list of selected issues). While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. In this forum the editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany). Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 `TopoInVis` workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany). Geometrie Raumlehre Grafik (EDV) Maschinenbau Differenzialtopologie ( Topologie ) Topologie - Differenzialtopologie, Springer-Verlag Gmbh

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Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications - Pascucci, Valerio / Tricoche, Xavier / Hagen, Hans
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Pascucci, Valerio / Tricoche, Xavier / Hagen, Hans:

Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications - livre d'occasion

2009, ISBN: 9783642150135

ID: 9944235

Topology-based methods are of increasing importance in the analysis and visualization of dataset from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. (see also below for a list of selected issues). While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. In this forum the editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany). Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications Pascucci, Valerio / Tricoche, Xavier / Hagen, Hans, Springer

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Topological Methods In Data Analysis And Visualization
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Topological Methods In Data Analysis And Visualization - nouveau livre

2009

ISBN: 9783642150135

ID: 9836431

Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the. Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on "Topological Methods in Data Analysis and Visualization", held 2009 in Snowbird, Utah, US. The 2009 "TopoInVis" workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany). Books, Science and Geography~~Mathematics~~Calculus & Mathematical Analysis, Topological Methods In Data Analysis And Visualization~~Book~~9783642150135, , , , , , , , , ,, [PU: Springer, Berlin/Heidelberg/New York, NY]

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Topological Methods in Data Analysis and Visualization - Hagen, Hans; Pascucci, Valerio; Tricoche, Xavier; Tierny, Julien
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Hagen, Hans; Pascucci, Valerio; Tricoche, Xavier; Tierny, Julien:
Topological Methods in Data Analysis and Visualization - nouveau livre

2009, ISBN: 9783642150135

ID: 645381

Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on "Topological Methods in Data Analysis and Visualization", held 2009 in Snowbird, Utah, US. The 2009 "TopoInVis" workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany). Technology Technology eBook, Springer

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Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications - Valerio Pascucci
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Valerio Pascucci:
Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications - edition reliée, livre de poche

ISBN: 9783642150135

ID: 9783642150135

Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications Topological-Methods-in-Data-Analysis-and-Visualization~~Valerio-Pascucci Science/Tech>Mathematics>Mathematics Hardcover, Springer Berlin Heidelberg

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Détails sur le livre
Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications (Mathematics and Visualization)
Auteur:

Valerio Pascucci, Hans Hagen, Julien Tierny, Xavier Tricoche

Titre:

Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications (Mathematics and Visualization)

ISBN:

3642150136

Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on "Topological Methods in Data Analysis and Visualization", held 2009 in Snowbird, Utah, US. The 2009 "TopoInVis" workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany).

Informations détaillées sur le livre - Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications (Mathematics and Visualization)


EAN (ISBN-13): 9783642150135
ISBN (ISBN-10): 3642150136
Version reliée
Date de parution: 2010
Editeur: Springer-Verlag GmbH
260 Pages
Poids: 0,512 kg
Langue: eng/Englisch

Livre dans la base de données depuis 19.09.2007 06:04:15
Livre trouvé récemment le 27.09.2016 23:26:03
ISBN/EAN: 3642150136

ISBN - Autres types d'écriture:
3-642-15013-6, 978-3-642-15013-5

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