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Topological Data Analysis for Scientific Visualization - Julien Tierny - Bog

Bag om Topological Data Analysis for Scientific Visualization

Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases.With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319890791
  • Indbinding:
  • Paperback
  • Sideantal:
  • 150
  • Udgivet:
  • 4. juni 2019
  • Udgave:
  • 12017
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • 8-11 hverdage.
  • 28. november 2024

Normalpris

  • BLACK NOVEMBER

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Topological Data Analysis for Scientific Visualization

Combining theoretical and practical aspects of topology, this book provides a comprehensive and self-contained introduction to topological methods for the analysis and visualization of scientific data.Theoretical concepts are presented in a painstaking but intuitive manner, with numerous high-quality color illustrations. Key algorithms for the computation and simplification of topological data representations are described in detail, and their application is carefully demonstrated in a chapter dedicated to concrete use cases.With its fine balance between theory and practice, "Topological Data Analysis for Scientific Visualization" constitutes an appealing introduction to the increasingly important topic of topological data analysis for lecturers, students and researchers.

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