Topological methods in data analysis and visualization : theory, algorithms, and applications
Topology-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 represen...
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| Format: | Book |
| Language: | English |
| Published: |
Heidelberg ; New York :
Springer ,
c2011
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| Series: | Mathematics and visualization
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| Subjects: |
| Summary: | Topology-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 of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data |
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| Physical Description: | viii, 260 p. : ill. ; 24 cm. |
| Bibliography: | Includes bibliographical references and index |
| ISBN: | 3642150136 (hardback : alk. paper) 3642150144 (ebook) 9783642150135 (hardback : alk. paper) 9783642150142 (ebook) |