Uncertainty Quantification and stochastic modeling with Matlab:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
ISTE Press Ltd
2015
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes bibliographical references and index Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlabª illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study |
| Beschreibung: | 1 Online-Ressource (xiii, 442 pages) |
| ISBN: | 9780081004715 0081004710 9781785480058 1785480057 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV043216332 | ||
| 003 | DE-604 | ||
| 005 | 20200317 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 151216s2015 |||| o||u| ||||||eng d | ||
| 020 | |a 9780081004715 |9 978-0-08-100471-5 | ||
| 020 | |a 0081004710 |9 0-08-100471-0 | ||
| 020 | |a 9781785480058 |9 978-1-78548-005-8 | ||
| 020 | |a 1785480057 |9 1-78548-005-7 | ||
| 035 | |a (OCoLC)906575071 | ||
| 035 | |a (DE-599)BVBBV043216332 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-634 | ||
| 082 | 0 | |a 519.2 |2 23 | |
| 100 | 1 | |a Cursi, Eduardo Souza de |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Uncertainty Quantification and stochastic modeling with Matlab |
| 264 | 1 | |a London |b ISTE Press Ltd |c 2015 | |
| 300 | |a 1 Online-Ressource (xiii, 442 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlabª illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study | ||
| 650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 7 | |a Stochastic models |2 fast | |
| 650 | 7 | |a Uncertainty (Information theory) |2 fast | |
| 650 | 4 | |a Stochastic partial differential equations | |
| 650 | 4 | |a Stochastic models | |
| 650 | 4 | |a Uncertainty (Information theory) | |
| 650 | 0 | 7 | |a MATLAB |0 (DE-588)4329066-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mathematik |0 (DE-588)4037944-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Unsicherheit |0 (DE-588)4186957-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Numerisches Modell |0 (DE-588)4338132-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Unsicherheit |0 (DE-588)4186957-6 |D s |
| 689 | 0 | 1 | |a Mathematik |0 (DE-588)4037944-9 |D s |
| 689 | 0 | 2 | |a Numerisches Modell |0 (DE-588)4338132-7 |D s |
| 689 | 0 | 3 | |a MATLAB |0 (DE-588)4329066-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Sampaio, Rubens |e Sonstige |4 oth | |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/book/9781785480058 |x Verlag |3 Volltext |
| 912 | |a ZDB-33-ESD |a ZDB-33-EBS | ||
| 940 | 1 | |q FLA_PDA_ESD | |
| 940 | 1 | |q BTU_PDA_EBS_Kauf | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028639355 | ||
Datensatz im Suchindex
| _version_ | 1804175721170468864 |
|---|---|
| any_adam_object | |
| author | Cursi, Eduardo Souza de |
| author_facet | Cursi, Eduardo Souza de |
| author_role | aut |
| author_sort | Cursi, Eduardo Souza de |
| author_variant | e s d c esd esdc |
| building | Verbundindex |
| bvnumber | BV043216332 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)906575071 (DE-599)BVBBV043216332 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03399nmm a2200577zc 4500</leader><controlfield tag="001">BV043216332</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20200317 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151216s2015 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780081004715</subfield><subfield code="9">978-0-08-100471-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0081004710</subfield><subfield code="9">0-08-100471-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781785480058</subfield><subfield code="9">978-1-78548-005-8</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1785480057</subfield><subfield code="9">1-78548-005-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)906575071</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043216332</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield><subfield code="a">DE-634</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.2</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Cursi, Eduardo Souza de</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Uncertainty Quantification and stochastic modeling with Matlab</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="b">ISTE Press Ltd</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xiii, 442 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlabª illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Applied</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Probability & Statistics / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Stochastic models</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Uncertainty (Information theory)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stochastic partial differential equations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stochastic models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Uncertainty (Information theory)</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">MATLAB</subfield><subfield code="0">(DE-588)4329066-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mathematik</subfield><subfield code="0">(DE-588)4037944-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Unsicherheit</subfield><subfield code="0">(DE-588)4186957-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Numerisches Modell</subfield><subfield code="0">(DE-588)4338132-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Unsicherheit</subfield><subfield code="0">(DE-588)4186957-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Mathematik</subfield><subfield code="0">(DE-588)4037944-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Numerisches Modell</subfield><subfield code="0">(DE-588)4338132-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">MATLAB</subfield><subfield code="0">(DE-588)4329066-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sampaio, Rubens</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/book/9781785480058</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-33-ESD</subfield><subfield code="a">ZDB-33-EBS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_ESD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">BTU_PDA_EBS_Kauf</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028639355</subfield></datafield></record></collection> |
| id | DE-604.BV043216332 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:20:47Z |
| institution | BVB |
| isbn | 9780081004715 0081004710 9781785480058 1785480057 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028639355 |
| oclc_num | 906575071 |
| open_access_boolean | |
| owner | DE-1046 DE-634 |
| owner_facet | DE-1046 DE-634 |
| physical | 1 Online-Ressource (xiii, 442 pages) |
| psigel | ZDB-33-ESD ZDB-33-EBS FLA_PDA_ESD BTU_PDA_EBS_Kauf |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | ISTE Press Ltd |
| record_format | marc |
| spelling | Cursi, Eduardo Souza de Verfasser aut Uncertainty Quantification and stochastic modeling with Matlab London ISTE Press Ltd 2015 1 Online-Ressource (xiii, 442 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within the natural sciences. Literature on the topic has up until now been largely based on polynomial chaos, which raises difficulties when considering different types of approximation and does not lead to a unified presentation of the methods. Moreover, this description does not consider either deterministic problems or infinite dimensional ones. This book gives a unified, practical and comprehensive presentation of the main techniques used for the characterization of the effect of uncertainty on numerical models and on their exploitation in numerical problems. In particular, applications to linear and nonlinear systems of equations, differential equations, optimization and reliability are presented. Applications of stochastic methods to deal with deterministic numerical problems are also discussed. Matlabª illustrates the implementation of these methods and makes the book suitable as a textbook and for self-study MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Stochastic models fast Uncertainty (Information theory) fast Stochastic partial differential equations Stochastic models Uncertainty (Information theory) MATLAB (DE-588)4329066-8 gnd rswk-swf Mathematik (DE-588)4037944-9 gnd rswk-swf Unsicherheit (DE-588)4186957-6 gnd rswk-swf Numerisches Modell (DE-588)4338132-7 gnd rswk-swf Unsicherheit (DE-588)4186957-6 s Mathematik (DE-588)4037944-9 s Numerisches Modell (DE-588)4338132-7 s MATLAB (DE-588)4329066-8 s DE-604 Sampaio, Rubens Sonstige oth http://www.sciencedirect.com/science/book/9781785480058 Verlag Volltext |
| spellingShingle | Cursi, Eduardo Souza de Uncertainty Quantification and stochastic modeling with Matlab MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Stochastic models fast Uncertainty (Information theory) fast Stochastic partial differential equations Stochastic models Uncertainty (Information theory) MATLAB (DE-588)4329066-8 gnd Mathematik (DE-588)4037944-9 gnd Unsicherheit (DE-588)4186957-6 gnd Numerisches Modell (DE-588)4338132-7 gnd |
| subject_GND | (DE-588)4329066-8 (DE-588)4037944-9 (DE-588)4186957-6 (DE-588)4338132-7 |
| title | Uncertainty Quantification and stochastic modeling with Matlab |
| title_auth | Uncertainty Quantification and stochastic modeling with Matlab |
| title_exact_search | Uncertainty Quantification and stochastic modeling with Matlab |
| title_full | Uncertainty Quantification and stochastic modeling with Matlab |
| title_fullStr | Uncertainty Quantification and stochastic modeling with Matlab |
| title_full_unstemmed | Uncertainty Quantification and stochastic modeling with Matlab |
| title_short | Uncertainty Quantification and stochastic modeling with Matlab |
| title_sort | uncertainty quantification and stochastic modeling with matlab |
| topic | MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Stochastic models fast Uncertainty (Information theory) fast Stochastic partial differential equations Stochastic models Uncertainty (Information theory) MATLAB (DE-588)4329066-8 gnd Mathematik (DE-588)4037944-9 gnd Unsicherheit (DE-588)4186957-6 gnd Numerisches Modell (DE-588)4338132-7 gnd |
| topic_facet | MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Stochastic models Uncertainty (Information theory) Stochastic partial differential equations MATLAB Mathematik Unsicherheit Numerisches Modell |
| url | http://www.sciencedirect.com/science/book/9781785480058 |
| work_keys_str_mv | AT cursieduardosouzade uncertaintyquantificationandstochasticmodelingwithmatlab AT sampaiorubens uncertaintyquantificationandstochasticmodelingwithmatlab |