000			03627nam a22005775i 4500
001			u374921
003			SIRSI
005			20160812084258.0
007			cr nn 008mamaa
008			101125s2011 gw | s |||| 0|eng d
020			_a9783642150142 _9978-3-642-15014-2
040			_cMX-MeUAM
050		4	_aQA76.9.I52
082	0	4	_a004 _223
100	1		_aPascucci, Valerio. _eeditor.
245	1	0	_aTopological Methods in Data Analysis and Visualization _h[recurso electrónico] : _bTheory, Algorithms, and Applications / _cedited by Valerio Pascucci, Xavier Tricoche, Hans Hagen, Julien Tierny.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aVIII, 260 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMathematics and Visualization, _x1612-3786
505	0		_aFoundations of Computational Topology -- Hierarchical Topological Data-Structures -- Topological Feature Extraction Algorithms -- Applications in Scientific Data Analysis and Visualization -- Topological Analysis of Large-Scale Scientific Data -- Indices.
520			_aTopology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoretical foundations of topological models, algorithmic issues related to the representation power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topological information, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 "TopoInVis" workshop in Snowbird, Utah, follows the two successful workshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany).
650		0	_aMathematics.
650		0	_aComputer graphics.
650		0	_aVisualization.
650		0	_aGeometry.
650		0	_aTopology.
650		0	_aEngineering.
650		0	_aMechanical engineering.
650	1	4	_aMathematics.
650	2	4	_aVisualization.
650	2	4	_aTopology.
650	2	4	_aGeometry.
650	2	4	_aComputer Graphics.
650	2	4	_aMechanical Engineering.
650	2	4	_aComputational Intelligence.
700	1		_aTricoche, Xavier. _eeditor.
700	1		_aHagen, Hans. _eeditor.
700	1		_aTierny, Julien. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642150135
830		0	_aMathematics and Visualization, _x1612-3786
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-15014-2
596			_a19
942			_cLIBRO_ELEC
999			_c202801 _d202801