Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: California Books, Miami, FL, U.S.A.
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Editore: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2016
ISBN 10: 3031014766 ISBN 13: 9783031014765
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 40,77
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Aggiungi al carrelloCondizione: New. Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles a.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 41,24
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Interactive Gpu-Based Visualization of Large Dynamic Particle Data 0.5. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 35,64
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Editore: Springer International Publishing, 2016
ISBN 10: 3031014766 ISBN 13: 9783031014765
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 37,44
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data.This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.
Editore: Springer International Publishing, Springer International Publishing Okt 2016, 2016
ISBN 10: 3031014766 ISBN 13: 9783031014765
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 37,44
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data.This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 124 pp. Englisch.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 37,03
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 37,66
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 38,83
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Da: Books Puddle, New York, NY, U.S.A.
EUR 49,39
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 54,08
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Da: Best Price, Torrance, CA, U.S.A.
EUR 33,49
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 66,30
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 36,49
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Editore: Springer International Publishing Okt 2016, 2016
ISBN 10: 3031014766 ISBN 13: 9783031014765
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 37,44
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data.This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics. 124 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 49,38
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 51,74
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