Large-Scale Inverse Problems and Quantification of Uncertainty

Large-scale inverse problems and associated uncertainty quantification has become an important area of research, central to a wide range of science and engineering applications. Written by leading experts in the field, Large-scale Inverse Problems and Quantification of Uncertainty focuses on the com...

Descripción completa

Detalles Bibliográficos
Autores principales: Biegler, Lorenz, Biros, George, Ghattas, Omar
Lenguaje:eng
Publicado: John Wiley & Sons Ltd 2010
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1412510
_version_ 1780923894790619136
author Biegler, Lorenz
Biros, George
Ghattas, Omar
author_facet Biegler, Lorenz
Biros, George
Ghattas, Omar
author_sort Biegler, Lorenz
collection CERN
description Large-scale inverse problems and associated uncertainty quantification has become an important area of research, central to a wide range of science and engineering applications. Written by leading experts in the field, Large-scale Inverse Problems and Quantification of Uncertainty focuses on the computational methods used to analyze and simulate inverse problems. The text provides PhD students, researchers, advanced undergraduate students, and engineering practitioners with the perspectives of researchers in areas of inverse problems and data assimilation, ranging from statistics and large-sca
id cern-1412510
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
publisher John Wiley & Sons Ltd
record_format invenio
spelling cern-14125102021-04-22T00:45:05Zhttp://cds.cern.ch/record/1412510engBiegler, LorenzBiros, GeorgeGhattas, OmarLarge-Scale Inverse Problems and Quantification of UncertaintyMathematical Physics and MathematicsLarge-scale inverse problems and associated uncertainty quantification has become an important area of research, central to a wide range of science and engineering applications. Written by leading experts in the field, Large-scale Inverse Problems and Quantification of Uncertainty focuses on the computational methods used to analyze and simulate inverse problems. The text provides PhD students, researchers, advanced undergraduate students, and engineering practitioners with the perspectives of researchers in areas of inverse problems and data assimilation, ranging from statistics and large-scaJohn Wiley & Sons Ltdoai:cds.cern.ch:14125102010
spellingShingle Mathematical Physics and Mathematics
Biegler, Lorenz
Biros, George
Ghattas, Omar
Large-Scale Inverse Problems and Quantification of Uncertainty
title Large-Scale Inverse Problems and Quantification of Uncertainty
title_full Large-Scale Inverse Problems and Quantification of Uncertainty
title_fullStr Large-Scale Inverse Problems and Quantification of Uncertainty
title_full_unstemmed Large-Scale Inverse Problems and Quantification of Uncertainty
title_short Large-Scale Inverse Problems and Quantification of Uncertainty
title_sort large-scale inverse problems and quantification of uncertainty
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1412510
work_keys_str_mv AT bieglerlorenz largescaleinverseproblemsandquantificationofuncertainty
AT birosgeorge largescaleinverseproblemsandquantificationofuncertainty
AT ghattasomar largescaleinverseproblemsandquantificationofuncertainty

Ejemplares similares