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Topological Data Analysis for Scientific Visualization, Tierny Julien


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Цена: 11179.00р.
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Автор: Tierny Julien
Название:  Topological Data Analysis for Scientific Visualization
ISBN: 9783319890791
Издательство: Springer
Классификация:





ISBN-10: 3319890794
Обложка/Формат: Paperback
Страницы: 150
Вес: 0.25 кг.
Дата издания: 04.06.2019
Серия: Mathematics and visualization
Язык: English
Издание: Softcover reprint of
Иллюстрации: 84 tables, color; 84 illustrations, color; xv, 150 p. 84 illus. in color.
Размер: 23.39 x 15.60 x 0.91 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.




Topological Methods in Data Analysis and Visualization III

Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R
Название: Topological Methods in Data Analysis and Visualization III
ISBN: 3319381652 ISBN-13(EAN): 9783319381657
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

Topological Data Analysis for Scientific Visualization

Автор: Tierny Julien
Название: Topological Data Analysis for Scientific Visualization
ISBN: 3319715062 ISBN-13(EAN): 9783319715063
Издательство: Springer
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Цена: 19564.00 р.
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Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.

Topological Methods in Data Analysis and Visualization

Автор: Pascucci
Название: Topological Methods in Data Analysis and Visualization
ISBN: 3642150136 ISBN-13(EAN): 9783642150135
Издательство: Springer
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Цена: 20263.00 р.
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Описание: 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).

Topological Methods in Data Analysis and Visualization III

Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R
Название: Topological Methods in Data Analysis and Visualization III
ISBN: 3319040987 ISBN-13(EAN): 9783319040981
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications

Автор: Carr Hamish, Fujishiro Issei, Sadlo Filip
Название: Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications
ISBN: 3030430359 ISBN-13(EAN): 9783030430351
Издательство: Springer
Цена: 25155.00 р.
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Описание: This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work.

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

Автор: Pascucci Valerio, Tricoche Xavier, Hagen Hans
Название: Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications
ISBN: 3662506041 ISBN-13(EAN): 9783662506042
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 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 Utah, US. It offers an important contribution to the field.

Topological Methods in Data Analysis and Visualization IV

Автор: Hamish Carr; Christoph Garth; Tino Weinkauf
Название: Topological Methods in Data Analysis and Visualization IV
ISBN: 3319831100 ISBN-13(EAN): 9783319831107
Издательство: Springer
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Цена: 23757.00 р.
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Scientific Visualization: The Visual Extraction of Knowledge from Data

Автор: Georges-Pierre Bonneau; Thomas Ertl; Gregory Niels
Название: Scientific Visualization: The Visual Extraction of Knowledge from Data
ISBN: 3642065392 ISBN-13(EAN): 9783642065392
Издательство: Springer
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Цена: 34799.00 р.
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Описание: Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems.

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Автор: Dey
Название: Big Data for Remote Sensing: Visualization, Analysis and Interpretation
ISBN: 3319899228 ISBN-13(EAN): 9783319899220
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes.

New Topological Invariants For Real- And Angle-valued Maps: An Alternative To Morse-novikov Theory

Автор: Burghelea Dan
Название: New Topological Invariants For Real- And Angle-valued Maps: An Alternative To Morse-novikov Theory
ISBN: 9814618241 ISBN-13(EAN): 9789814618243
Издательство: World Scientific Publishing
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Цена: 10930.00 р.
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Описание: This book presents an alternative to what the topologists refer to as "Morse-Novikov theory", a mathematical theory which belongs to the fields of geometry and topology.

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Автор: Nilanjan Dey; Chintan Bhatt; Amira S. Ashour
Название: Big Data for Remote Sensing: Visualization, Analysis and Interpretation
ISBN: 3030078957 ISBN-13(EAN): 9783030078959
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.


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