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Issue No.05 - September/October (2009 vol.11)
pp: 88-95
During multiscale analysis, hierarchical function decompositions and error-driven simplifications can't guarantee precise control of topological features. Topology-based multiscale analysis has emerged as an alternative to help researchers understand complex scientific data.
Data visualization, Robustness, Data analysis, Error correction, Approximation error, Monitoring, Smoothing methods, Information analysis, scientific data, multiscale analysis, topology-based multiscale analysis
A. Gyulassy, L.G. Nonato, P.-T. Bremer, C. Silva, V. Pascucci, "Visualization Corner: Robust Topology-Based Multiscale Analysis of Scientific Data", Computing in Science & Engineering, vol.11, no. 5, pp. 88-95, September/October 2009, doi:10.1109/MCSE.2009.152
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