Random integral equations with applications to life sciences and engineering

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang...

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Detalles Bibliográficos
Autores principales: Tsokos, Chris P, Padgett, W J
Lenguaje:eng
Publicado: Academic Press 1974
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/268242
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author Tsokos, Chris P
Padgett, W J
author_facet Tsokos, Chris P
Padgett, W J
author_sort Tsokos, Chris P
collection CERN
description In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank mat
id cern-268242
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1974
publisher Academic Press
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spelling cern-2682422021-04-22T03:49:04Zhttp://cds.cern.ch/record/268242engTsokos, Chris PPadgett, W JRandom integral equations with applications to life sciences and engineeringMathematical Physics and MathematicsIn this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matAcademic Pressoai:cds.cern.ch:2682421974
spellingShingle Mathematical Physics and Mathematics
Tsokos, Chris P
Padgett, W J
Random integral equations with applications to life sciences and engineering
title Random integral equations with applications to life sciences and engineering
title_full Random integral equations with applications to life sciences and engineering
title_fullStr Random integral equations with applications to life sciences and engineering
title_full_unstemmed Random integral equations with applications to life sciences and engineering
title_short Random integral equations with applications to life sciences and engineering
title_sort random integral equations with applications to life sciences and engineering
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/268242
work_keys_str_mv AT tsokoschrisp randomintegralequationswithapplicationstolifesciencesandengineering
AT padgettwj randomintegralequationswithapplicationstolifesciencesandengineering

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