Exponential data fitting and its applications:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
[Sharjah, United Arab Emirates]
Bentham eBooks
[2010]
|
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (vi, 195 pages) illustrations (some color) |
| ISBN: | 9781608050482 1608050483 |
Internformat
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| 245 | 1 | 0 | |a Exponential data fitting and its applications |c editors, Victor Pereyra and Godela Scherer |
| 264 | 1 | |a [Sharjah, United Arab Emirates] |b Bentham eBooks |c [2010] | |
| 300 | |a 1 online resource (vi, 195 pages) |b illustrations (some color) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Print version record | ||
| 505 | 8 | |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 | 7 | |a MATHEMATICS / Probability & Statistics / Bayesian Analysis |2 bisacsh | |
| 650 | 7 | |a Exponential functions |2 fast | |
| 650 | 4 | |a Exponential functions | |
| 700 | 1 | |a Pereyra, V. |e Sonstige |4 oth | |
| 700 | 1 | |a Scherer, Godela |e Sonstige |4 oth | |
| 912 | |a ZDB-4-ENC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-030730890 | ||
Datensatz im Suchindex
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| contents | 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 |
| ctrlnum | (ZDB-4-ENC)ocn694144608 (OCoLC)694144608 (DE-599)BVBBV045344186 |
| dewey-full | 519.542 519.5/42 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.542 519.5/42 |
| dewey-search | 519.542 519.5/42 |
| dewey-sort | 3519.542 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV045344186 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:30Z |
| institution | BVB |
| isbn | 9781608050482 1608050483 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030730890 |
| oclc_num | 694144608 |
| open_access_boolean | |
| physical | 1 online resource (vi, 195 pages) illustrations (some color) |
| psigel | ZDB-4-ENC |
| 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 resource (vi, 195 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier Print version record 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 / Probability & Statistics / Bayesian Analysis bisacsh Exponential functions fast Exponential functions Pereyra, V. Sonstige oth Scherer, Godela Sonstige oth |
| spellingShingle | Exponential data fitting and its applications 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 / 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 / Probability & Statistics / Bayesian Analysis bisacsh Exponential functions fast Exponential functions |
| topic_facet | MATHEMATICS / Probability & Statistics / Bayesian Analysis Exponential functions |
| work_keys_str_mv | AT pereyrav exponentialdatafittinganditsapplications AT scherergodela exponentialdatafittinganditsapplications |