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Modeling, Analysis, and Visualization of Anisotropy, Thomas Schultz; Evren ?zarslan; Ingrid Hotz


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Автор: Thomas Schultz; Evren ?zarslan; Ingrid Hotz
Название:  Modeling, Analysis, and Visualization of Anisotropy
ISBN: 9783319870601
Издательство: Springer
Классификация:



ISBN-10: 3319870602
Обложка/Формат: Soft cover
Страницы: 407
Вес: 0.64 кг.
Дата издания: 2017
Серия: Mathematics and Visualization
Язык: English
Издание: Softcover reprint of
Иллюстрации: 160 tables, color; 150 illustrations, color; x, 407 p. 150 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии


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.

Modeling, Analysis, and Visualization of Anisotropy

Автор: Thomas Schultz; Evren ?zarslan; Ingrid Hotz
Название: Modeling, Analysis, and Visualization of Anisotropy
ISBN: 331961357X ISBN-13(EAN): 9783319613574
Издательство: Springer
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Цена: 23757.00 р.
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Описание:

This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews.

This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016.

It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.

A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows

Автор: L?szl? K?n?zsy
Название: A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows
ISBN: 303013542X ISBN-13(EAN): 9783030135423
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book gives a mathematical insight--including intermediate derivation steps--into engineering physics and turbulence modeling related to an anisotropic modification to the Boussinesq hypothesis (deformation theory) coupled with the similarity theory of velocity fluctuations.Through mathematical derivations and their explanations, the reader will be able to understand new theoretical concepts quickly, including how to put a new hypothesis on the anisotropic Reynolds stress tensor into engineering practice. The anisotropic modification to the eddy viscosity hypothesis is in the center of research interest, however, the unification of the deformation theory and the anisotropic similarity theory of turbulent velocity fluctuations is still missing from the literature. This book brings a mathematically challenging subject closer to graduate students and researchers who are developing the next generation of anisotropic turbulence models.Indispensable for graduate students, researchers and scientists in fluid mechanics and mechanical engineering.

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 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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Mathematical Modeling, Simulation, Visualization and e-Learning

Автор: Dialla Konat?
Название: Mathematical Modeling, Simulation, Visualization and e-Learning
ISBN: 3642093728 ISBN-13(EAN): 9783642093722
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book features articles written by some of the most prominent leading applied mathematicians as well as young and promising ones. The common objective of these articles is to present an important issue which is currently widely discussed in scientific investigation with major human, economic or ecological implications.

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).

Graphics Modeling and Visualization in Science and Technology

Автор: Martin G?bel; Jose C. Teixeira
Название: Graphics Modeling and Visualization in Science and Technology
ISBN: 3540559655 ISBN-13(EAN): 9783540559658
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The results of a workshop on the applications of graphics modelling and visualization to various branches of science and technology. The articles specifically cover the fields of engineering and design, environmental research, materials science, computing, fluid dynamics and algorithms.

Topological Data Analysis for Scientific Visualization

Автор: Tierny Julien
Название: Topological Data Analysis for Scientific Visualization
ISBN: 3319890794 ISBN-13(EAN): 9783319890791
Издательство: Springer
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Цена: 11179.00 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.

Graph Analysis and Visualization

Автор: Brath Richard, Jonker David
Название: Graph Analysis and Visualization
ISBN: 1118845846 ISBN-13(EAN): 9781118845844
Издательство: Wiley
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Цена: 6018.00 р.
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Описание: Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world.


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