| Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| E-Books | Biblioteca da FCTUNL Online | Não Ficção | QA611.SPR. FCT 95281 (Browse shelf) | 1 | Available |
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| QA377.SPR. FCT 95274 Introduction to numerical methods in differential equations | QA279.5.SPR. FCT 95275 Bayesian computation with R | QC794.6.SPR. FCT 95280 Quantum decoherence | QA611.SPR. FCT 95281 Topology-based methods in visualization | QA379.SPR. FCT 95283 Singularly perturbed boundary-value problems | QA135.5.SPR. FCT 95284 Algèbre | QA76.9.SPR. FCT 95285 Cluster analysis for data mining and system identification |
Colocação: Online
Enabling insight into large and complex datasets is a prevalent theme in visualization research for which different approaches are pursued. Topology-based methods are built on the idea of abstracting characteristic structures such as the topological skeleton from the data and to construct the visualizations accordingly. There are currently new demands for and renewed interest in topology-based visualization solutions. This book presents 13 peer-reviewed papers as written results from the 2005 workshop “Topology-Based Methods in Visualization” that was initiated to enable additional stimulation in this field. It contains a longer chapter dedicated to a survey of the state-of-the-art, as well as a great deal of original work by leading experts that has not been published before, spanning both theory and applications. It captures key concepts and novel ideas and serves as an overview of current trends in topology-based visualization research.
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