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Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data

This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies.  The case studies are arranged in increasing order of complexity based on the mathematical methods required to analyze the models. The development of these methods is a...

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Detalles Bibliográficos
Autores principales: Wollkind, David J, Dichone, Bonni J
Lenguaje:eng
Publicado: Springer 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-73518-4
http://cds.cern.ch/record/2316183
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author Wollkind, David J
Dichone, Bonni J
author_facet Wollkind, David J
Dichone, Bonni J
author_sort Wollkind, David J
collection CERN
description This text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies.  The case studies are arranged in increasing order of complexity based on the mathematical methods required to analyze the models. The development of these methods is also included, providing a self-contained presentation. To reinforce and supplement the material introduced, original problem sets are offered involving case studies closely related to the ones presented.  With this style, the text’s perspective, scope, and completeness of the subject matter are considered unique. Having grown out of four self-contained courses taught by the authors, this text will be of use in a two-semester sequence for advanced undergraduate and beginning graduate students, requiring rudimentary knowledge of advanced calculus and differential equations, along with a basic understanding of some simple physical and biological scientific principles. .
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spelling cern-23161832021-04-21T18:51:03Zdoi:10.1007/978-3-319-73518-4http://cds.cern.ch/record/2316183engWollkind, David JDichone, Bonni JComprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with dataMathematical Physics and MathematicsThis text demonstrates the process of comprehensive applied mathematical modeling through the introduction of various case studies.  The case studies are arranged in increasing order of complexity based on the mathematical methods required to analyze the models. The development of these methods is also included, providing a self-contained presentation. To reinforce and supplement the material introduced, original problem sets are offered involving case studies closely related to the ones presented.  With this style, the text’s perspective, scope, and completeness of the subject matter are considered unique. Having grown out of four self-contained courses taught by the authors, this text will be of use in a two-semester sequence for advanced undergraduate and beginning graduate students, requiring rudimentary knowledge of advanced calculus and differential equations, along with a basic understanding of some simple physical and biological scientific principles. .Springeroai:cds.cern.ch:23161832017
spellingShingle Mathematical Physics and Mathematics
Wollkind, David J
Dichone, Bonni J
Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title_full Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title_fullStr Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title_full_unstemmed Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title_short Comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
title_sort comprehensive applied mathematical modeling in the natural and engineering sciences: theoretical predictions compared with data
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-73518-4
http://cds.cern.ch/record/2316183
work_keys_str_mv AT wollkinddavidj comprehensiveappliedmathematicalmodelinginthenaturalandengineeringsciencestheoreticalpredictionscomparedwithdata
AT dichonebonnij comprehensiveappliedmathematicalmodelinginthenaturalandengineeringsciencestheoreticalpredictionscomparedwithdata