Geospatial algebraic computations: Theory and applications
© Springer-Verlag Berlin Heidelberg 2016. Improved geospatial instrumentation and technology such as in laser scanning has now resulted in millions of data being collected, e.g., point clouds. It is in realization that such huge amount of data requires efficient and robust mathematical solutions tha...
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
2016
|
| Online Access: | http://hdl.handle.net/20.500.11937/26072 |
| _version_ | 1848751882006167552 |
|---|---|
| author | Awange, Joseph Paláncz, B. |
| author_facet | Awange, Joseph Paláncz, B. |
| author_sort | Awange, Joseph |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © Springer-Verlag Berlin Heidelberg 2016. Improved geospatial instrumentation and technology such as in laser scanning has now resulted in millions of data being collected, e.g., point clouds. It is in realization that such huge amount of data requires efficient and robust mathematical solutions that this third edition of the book extends the second edition by introducing three new chapters: Robust parameter estimation, Multiobjective optimization and Symbolic regression. Furthermore, the linear homotopy chapter is expanded to include nonlinear homotopy. These disciplines are discussed first in the theoretical part of the book before illustrating their geospatial applications in the applications chapters where numerous numerical examples are presented. The renewed electronic supplement contains these new theoretical and practical topics, with the corresponding Mathematica statements and functions supporting their computations introduced and applied. This third edition is renamed in light of these technological advancements. |
| first_indexed | 2025-11-14T07:59:47Z |
| format | Book |
| id | curtin-20.500.11937-26072 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:59:47Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-260722017-09-13T15:25:35Z Geospatial algebraic computations: Theory and applications Awange, Joseph Paláncz, B. © Springer-Verlag Berlin Heidelberg 2016. Improved geospatial instrumentation and technology such as in laser scanning has now resulted in millions of data being collected, e.g., point clouds. It is in realization that such huge amount of data requires efficient and robust mathematical solutions that this third edition of the book extends the second edition by introducing three new chapters: Robust parameter estimation, Multiobjective optimization and Symbolic regression. Furthermore, the linear homotopy chapter is expanded to include nonlinear homotopy. These disciplines are discussed first in the theoretical part of the book before illustrating their geospatial applications in the applications chapters where numerous numerical examples are presented. The renewed electronic supplement contains these new theoretical and practical topics, with the corresponding Mathematica statements and functions supporting their computations introduced and applied. This third edition is renamed in light of these technological advancements. 2016 Book http://hdl.handle.net/20.500.11937/26072 10.1007/978-3-319-25465-4 restricted |
| spellingShingle | Awange, Joseph Paláncz, B. Geospatial algebraic computations: Theory and applications |
| title | Geospatial algebraic computations: Theory and applications |
| title_full | Geospatial algebraic computations: Theory and applications |
| title_fullStr | Geospatial algebraic computations: Theory and applications |
| title_full_unstemmed | Geospatial algebraic computations: Theory and applications |
| title_short | Geospatial algebraic computations: Theory and applications |
| title_sort | geospatial algebraic computations: theory and applications |
| url | http://hdl.handle.net/20.500.11937/26072 |