Visualization In Scientific Computing '97: Proceedings Of The Eurographics Workshop In Boulogne-sur-Mer France, April 28-30, 1997

Lefer, W.; Grave, M. [Edts.]

ISBN 10: 3211830499 / ISBN 13: 9783211830499

Edité par Springer-Verlag, Wien/New York, 1997

A propos de cet article

vi (i), 187 (5) pp, preface, WWW and Virtual Reality for Scientific Visualization by David J. and Grave, M. Information Drill-Down Using Web Tools by Jern, M.; Efficient and Reliable Intergration Methods for Particle Tracing in Unsteady Flows on Discrete Meshes by Teitzel, C.; Grosso, R. and Ertl, T; Creating Evenly-Spaced Streamlines of Arbitrary Density by Jobard, B and Lefer, W.; Line Integral Convolution for 3D Surfaces by Mao, X, et al.; A Framework for Physically-Based Information Visualization by Sprenger, T. C., et al.; Feature Extraction from Pioneer Venus OCPP Data by Reinders, F., et al.; Visualization in Topology: Assembling the Projective Plane by Klimenko, S. et al.; Theory for Feature Extraction and Visualization by Lurig, C., et al.; Interactive Segmentation and Analysis of Fetal Ultrasound Images by Subramanian K. R., et al.; Efficient Visualization of Large-Scale Data on Hierarchical Meshes by Neubauer, R., et al.; Simulation of Differential Interferometry and Comparison with Experimantal Results by Wegenkittl, R. and Groller, E.; Hierarchical Streamarrow for the Visualization of Dynamical Systems by Loffelmann, H., et al.; Parametrizable Cameras for 3D Computational Steering by Mulder, J. D., et al.; Appendix: Color figures. First Edition, 1997. Minute crease at top fore-edge tip, else, Pristine, no wear. Clean, tight and strong binding with no underlining, highlighting or marginalia. Gray wrappers. Size: 8vo. N° de réf. du vendeur 003825

Détails bibliographiques

Titre : Visualization In Scientific Computing '97: ...

Éditeur : Springer-Verlag, Wien/New York

Date d'édition : 1997

Reliure : Trade Paperback

Etat : Near Fine

Edition : First Edition.

Type de livre : Book

A propos de ce titre

Synopsis :

Visualization in Scientific Computing '97 1997 Visualization is a powerful approach to gaining insight into datasets produced by scientific experimentations and simulations. The contributions to this work cover technical aspects as well as concrete applications of visualization in domains such as finance, physics, astronomy and medicine.