Topological Methods in Data Analysis and Visualization VI : Theory, Applications, and Software / Ingrid Hotz, ... [et al.] editors

• Pubblicazione: Cham, : Springer, 2021
• Descrizione fisica: xi, 373 p. : ill. ; 24 cm
• Soggetto topico: 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 55-XX - Algebraic topology [MSC 2020]; 55N31 - Persistent homology and applications, topological data analysis [MSC 2020]; 68-XX - Computer science [MSC 2020]; 68T09 - Computational aspects of data analysis and big data [MSC 2020]; 68U03 - Computational aspects of digital topology [MSC 2020]; 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020]; 68U10 - Computing methodologies for image processing [MSC 2020]
• Soggetto non controllato: Combinatorial Methods; Denoising and Simplification; Lagrangian Coherent Structures; Multi-scale Representation Models; Persistent Homology; Robustness; Scalar Field Topology; Scientific visualization; Similarity and Correlation; Time-dependent Methods; Topology of Point Sets and Cell Complexes; Vector Field Topology; feature extraction
• Persona (resp. second.): Hotz, Ingrid
• Titolo autorizzato: Topological Methods in Data Analysis and Visualization VI
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00275366
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-83500-2
• Serie: Mathematics and visualization Berlin [etc.] . -Springer , 2001-