Download Topological Methods in Data Analysis and Visualization: by Kirk E. Jordan, Lance E. Miller (auth.), Valerio Pascucci, PDF

By Kirk E. Jordan, Lance E. Miller (auth.), Valerio Pascucci, Xavier Tricoche, Hans Hagen, Julien Tierny (eds.)

Topology-based equipment are of accelerating significance within the research and visualization of datasets from a large choice of clinical domain names comparable to biology, physics, engineering, and drugs. present demanding situations of topology-based ideas comprise the administration of time-dependent info, the illustration huge and intricate datasets, the characterization of noise and uncertainty, the potent integration of numerical equipment with strong combinatorial algorithms, and so on. whereas there's a growing number of high quality courses during this box, many primary questions stay unsolved. New targeted efforts are wanted in quite a few thoughts starting from the theoretical foundations of topological types, algorithmic matters with regards to the illustration strength of computer-based implementations in addition to their computational potency, person interfaces for presentation of quantitative topological details, and the advance of recent thoughts for systematic mapping of technology difficulties in topological constructs that may be solved computationally. The editors have introduced jointly the main trendy and top famous researchers within the box of topology-based info research and visualization for a joint dialogue and clinical alternate of the most recent ends up in the sector. The 2009 "TopoInVis" workshop in Snowbird, Utah, follows the 2 winning workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany).

Show description

Read or Download Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications PDF

Similar geometry and topology books

Introduction a la Topologie

Ce cours de topologie a été dispensé en licence à l'Université de Rennes 1 de 1999 à 2002. Toutes les constructions permettant de parler de limite et de continuité sont d'abord dégagées, puis l'utilité de l. a. compacité pour ramener des problèmes de complexité infinie à l'étude d'un nombre fini de cas est explicitée.

Spaces of Constant Curvature

This e-book is the 6th variation of the vintage areas of continuing Curvature, first released in 1967, with the former (fifth) variation released in 1984. It illustrates the excessive measure of interaction among team idea and geometry. The reader will enjoy the very concise remedies of riemannian and pseudo-riemannian manifolds and their curvatures, of the illustration conception of finite teams, and of symptoms of modern growth in discrete subgroups of Lie teams.

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

Example text

Devore and P. ), Foundations of Computational Mathematics, Minneapolis 2002, 35–57, Cambridge University Press, 2004. 10. H. E DELSBRUNNER , D. L ETSCHER AND A. Z OMORODIAN . Topological persistence and simplification. Discrete Comput. Geom. 28 (2002), 511–533. 11. H. E DELSBRUNNER , D. M OROZOV AND A. PATEL . Quantifying transversality by measuring the robustness of intersections. Manuscript, Dept. Comput. , Durham, North Carolina, 2009. 12. D. J. F UTUYAMA . Evolutionary Biology. Third edition, Sinauer Associates, 1998.

In SIGGRAPH Asia 2008, Course Notes, number 11, 2008. 12. Toon Huysmans, Jan Sijbers, and Brigitte Verdonk. Parametrization of tubular surfaces on the cylinder. In WSCG (Journal Papers), pages 97–104, 2005. 13. Miao Jin, Yalin Wang, Shing-Tung Yau, and Xianfeng Gu. Optimal global conformal surface parameterization. In In IEEE Visualization, pages 267–274, 2004. 14. J¨urgen Jost. Compact Riemann Surfaces. Springer, 2002. 26 K¨alberer, Nieser, and Polthier 15. Felix K¨alberer, Matthias Nieser, and Konrad Polthier.

The projection of the torus to the plane. The distance function defined by the marked value in the plane is illustrated by showing one of its sublevel sets. The Stability of the Apparent Contour 29 value if it is not a critical value or, equivalently, if all its preimages are regular points. We call the set of critical values the (apparent) contour of the mapping, denoting it by Contour( f ). The adjective serves as a reminder that we are not talking about a structural property of the 2-manifold but rather of its mapping to the plane.

Download PDF sample

Rated 4.39 of 5 – based on 8 votes