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Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance. The book focuses on providing insights into the interplay between coordinate tran...
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Lenguaje: | eng |
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Springer
2011
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-16004-2 http://cds.cern.ch/record/1412726 |
_version_ | 1780923911721975808 |
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author | Holtz, Markus |
author_facet | Holtz, Markus |
author_sort | Holtz, Markus |
collection | CERN |
description | This book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance. The book focuses on providing insights into the interplay between coordinate transformations, effective dimensions and the convergence behaviour of sparse grid methods. The techniques, derivations and algorithms are illustrated by many examples, figures and code segments. Numerical experiments with applications from finance and insurance show that the approaches presented in thi |
id | cern-1412726 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | Springer |
record_format | invenio |
spelling | cern-14127262021-04-22T00:44:23Zdoi:10.1007/978-3-642-16004-2http://cds.cern.ch/record/1412726engHoltz, MarkusSparse Grid Quadrature in High Dimensions with Applications in Finance and InsuranceMathematical Physics and MathematicsThis book deals with the numerical analysis and efficient numerical treatment of high-dimensional integrals using sparse grids and other dimension-wise integration techniques with applications to finance and insurance. The book focuses on providing insights into the interplay between coordinate transformations, effective dimensions and the convergence behaviour of sparse grid methods. The techniques, derivations and algorithms are illustrated by many examples, figures and code segments. Numerical experiments with applications from finance and insurance show that the approaches presented in thiSpringeroai:cds.cern.ch:14127262011 |
spellingShingle | Mathematical Physics and Mathematics Holtz, Markus Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title | Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title_full | Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title_fullStr | Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title_full_unstemmed | Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title_short | Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance |
title_sort | sparse grid quadrature in high dimensions with applications in finance and insurance |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-642-16004-2 http://cds.cern.ch/record/1412726 |
work_keys_str_mv | AT holtzmarkus sparsegridquadratureinhighdimensionswithapplicationsinfinanceandinsurance |