Exponential data fitting and its applications:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
[Sharjah, United Arab Emirates]
Bentham eBooks
[2010]
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references and index Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials is the l2 norm (sum of squares of residuals), in which case one obtains a nonlinear separable least squares problem. A number of different methods have been proposed through the years to solve these types of problems and new applications appear daily. Necessary guidance is provided so that care should be taken when applying standard or simplified methods to it. The described methods take into account the separability between the linear and nonlinear parameters, which have been quite successful. The accessibility of good, publicly available software that has been very beneficial in many different fields is also considered. This Ebook covers the main solution methods (Variable Projections, Modified Prony) and also emphasizes the applications to different fields. It is considered essential reading for researchers and students in this field |
| Beschreibung: | 1 Online-Ressource (vi, 195 pages) |
| ISBN: | 1608050483 9781608050482 |
Internformat
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| 245 | 1 | 0 | |a Exponential data fitting and its applications |c editors, Victor Pereyra and Godela Scherer |
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials is the l2 norm (sum of squares of residuals), in which case one obtains a nonlinear separable least squares problem. A number of different methods have been proposed through the years to solve these types of problems and new applications appear daily. Necessary guidance is provided so that care should be taken when applying standard or simplified methods to it. The described methods take into account the separability between the linear and nonlinear parameters, which have been quite successful. The accessibility of good, publicly available software that has been very beneficial in many different fields is also considered. This Ebook covers the main solution methods (Variable Projections, Modified Prony) and also emphasizes the applications to different fields. It is considered essential reading for researchers and students in this field | ||
| 650 | 4 | |a Mathematics & Statistics | |
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| 700 | 1 | |a Pereyra, V. |e Sonstige |4 oth | |
| 700 | 1 | |a Scherer, Godela |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/42 519.542 |
| dewey-search | 519.5/42 519.542 |
| dewey-sort | 3519.5 242 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV043128221 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:18:18Z |
| institution | BVB |
| isbn | 1608050483 9781608050482 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028552412 |
| oclc_num | 694144608 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (vi, 195 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Bentham eBooks |
| record_format | marc |
| spelling | Exponential data fitting and its applications editors, Victor Pereyra and Godela Scherer [Sharjah, United Arab Emirates] Bentham eBooks [2010] 1 Online-Ressource (vi, 195 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials is the l2 norm (sum of squares of residuals), in which case one obtains a nonlinear separable least squares problem. A number of different methods have been proposed through the years to solve these types of problems and new applications appear daily. Necessary guidance is provided so that care should be taken when applying standard or simplified methods to it. The described methods take into account the separability between the linear and nonlinear parameters, which have been quite successful. The accessibility of good, publicly available software that has been very beneficial in many different fields is also considered. This Ebook covers the main solution methods (Variable Projections, Modified Prony) and also emphasizes the applications to different fields. It is considered essential reading for researchers and students in this field Mathematics & Statistics MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Exponential functions fast Exponential functions Pereyra, V. Sonstige oth Scherer, Godela Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=500579 Aggregator Volltext |
| spellingShingle | Exponential data fitting and its applications Mathematics & Statistics MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Exponential functions fast Exponential functions |
| title | Exponential data fitting and its applications |
| title_auth | Exponential data fitting and its applications |
| title_exact_search | Exponential data fitting and its applications |
| title_full | Exponential data fitting and its applications editors, Victor Pereyra and Godela Scherer |
| title_fullStr | Exponential data fitting and its applications editors, Victor Pereyra and Godela Scherer |
| title_full_unstemmed | Exponential data fitting and its applications editors, Victor Pereyra and Godela Scherer |
| title_short | Exponential data fitting and its applications |
| title_sort | exponential data fitting and its applications |
| topic | Mathematics & Statistics MATHEMATICS / Probability & Statistics / Bayesian Analysis bisacsh Exponential functions fast Exponential functions |
| topic_facet | Mathematics & Statistics MATHEMATICS / Probability & Statistics / Bayesian Analysis Exponential functions |
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