Adaptive Scientific Visualization System for Desktop Computers and Mobile Devices

Author:

Ryabinin Konstantin,Chuprina Svetlana

Publisher

Elsevier BV

Subject

General Engineering

Reference6 articles.

1. Dzhosan O. Research and development of methods and software for scientific computing visualization for massive parallel computing systems. PhD Thesis. Moscow State University; 2009. http://www.dissercat.com/content/issledovanie-i-razrabotka-metodov-i-programmnykh-sredstv-vizualizatsii-rezultatov-nauchnykh-.

2. Vinogradov M. Modern tools for visualization and processing of two-dimensional scientific data. Bauman Moscow State Technical University; 2002. http://www.amlab.ru/paper_max.shtml.

3. Kartasheva EL, Bagdasarov GA, Boldarev AS, Gasilova IV, Dyachenko SV, Olkhovskaya OG, Shmyrov VA, Boldyrev SN, Gasilov VA. Visualization of computational experiments in the field of 3D modeling of the emitting plasma, running on multiprocessor systems using a Marple software pakage. Institute of matematical modelling RAS. Scientific Visualization. 2010. http://sv- journal.com/2010-1/01/index.html.

4. Ahrens J, Geveci B, Law C. ParaView: An End-User Tool for Large Data Visualization. Elsevier; 2005.

5. Chuprina S, Aleksandrov N, Cherenkova N. Methods to Assess Students’ Experiences in an Immersive 3D VR Environment. Proceedings of the 13th Interactive Computer Aided Learning International Conference ICL2010. Hasselt, Belgium; 15-17 September, 2010, p. 1248-1254.

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