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Mathematical analysis and numerical methods for science and technology

These 6 volumes - the result of a 10 year collaboration between the authors, two of France's leading scientists and both distinguished international figures - compile the mathematical knowledge required by researchers in mechanics, physics, engineering, chemistry and other branches of applicati...

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Detalles Bibliográficos
Autores principales: Dautray, Robert, Lions, Jacques Louis
Lenguaje:eng
Publicado: Springer 1990
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-61527-6
https://dx.doi.org/10.1007/978-3-642-61566-5
https://dx.doi.org/10.1007/978-3-642-61529-0
https://dx.doi.org/10.1007/978-3-642-61531-3
https://dx.doi.org/10.1007/978-3-642-58090-1
https://dx.doi.org/10.1007/978-3-642-58004-8
http://cds.cern.ch/record/204844
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author Dautray, Robert
Lions, Jacques Louis
author_facet Dautray, Robert
Lions, Jacques Louis
author_sort Dautray, Robert
collection CERN
description These 6 volumes - the result of a 10 year collaboration between the authors, two of France's leading scientists and both distinguished international figures - compile the mathematical knowledge required by researchers in mechanics, physics, engineering, chemistry and other branches of application of mathematics for the theoretical and numerical resolution of physical models on computers. Since the publication in 1924 of the "Methoden der mathematischen Physik" by Courant and Hilbert, there has been no other comprehensive and up-to-date publication presenting the mathematical tools needed in applications of mathematics in directly implementable form. The advent of large computers has in the meantime revolutionised methods of computation and made this gap in the literature intolerable: the objective of the present work is to fill just this gap. Many phenomena in physical mathematics may be modeled by a system of partial differential equations in distributed systems: a model here means a set of equations, which together with given boundary data and, if the phenomenon is evolving in time, initial data, defines the system. The advent of high-speed computers has made it possible for the first time to calculate values from models accurately and rapidly. Researchers and engineers thus have a crucial means of using numerical results to modify and adapt arguments and experiments along the way. Every facet of technical and industrial activity has been affected by these developments. Modeling by distributed systems now also supports work in many areas of physics (plasmas, new materials, astrophysics, geophysics), chemistry and mechanics and is finding increasing use in the life sciences.
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spelling cern-2048442021-04-22T04:44:27Zdoi:10.1007/978-3-642-61527-6doi:10.1007/978-3-642-61566-5doi:10.1007/978-3-642-61529-0doi:10.1007/978-3-642-61531-3doi:10.1007/978-3-642-58090-1doi:10.1007/978-3-642-58004-8http://cds.cern.ch/record/204844engDautray, RobertLions, Jacques LouisMathematical analysis and numerical methods for science and technologyMathematical Physics and MathematicsThese 6 volumes - the result of a 10 year collaboration between the authors, two of France's leading scientists and both distinguished international figures - compile the mathematical knowledge required by researchers in mechanics, physics, engineering, chemistry and other branches of application of mathematics for the theoretical and numerical resolution of physical models on computers. Since the publication in 1924 of the "Methoden der mathematischen Physik" by Courant and Hilbert, there has been no other comprehensive and up-to-date publication presenting the mathematical tools needed in applications of mathematics in directly implementable form. The advent of large computers has in the meantime revolutionised methods of computation and made this gap in the literature intolerable: the objective of the present work is to fill just this gap. Many phenomena in physical mathematics may be modeled by a system of partial differential equations in distributed systems: a model here means a set of equations, which together with given boundary data and, if the phenomenon is evolving in time, initial data, defines the system. The advent of high-speed computers has made it possible for the first time to calculate values from models accurately and rapidly. Researchers and engineers thus have a crucial means of using numerical results to modify and adapt arguments and experiments along the way. Every facet of technical and industrial activity has been affected by these developments. Modeling by distributed systems now also supports work in many areas of physics (plasmas, new materials, astrophysics, geophysics), chemistry and mechanics and is finding increasing use in the life sciences.Springeroai:cds.cern.ch:2048441990-2000
spellingShingle Mathematical Physics and Mathematics
Dautray, Robert
Lions, Jacques Louis
Mathematical analysis and numerical methods for science and technology
title Mathematical analysis and numerical methods for science and technology
title_full Mathematical analysis and numerical methods for science and technology
title_fullStr Mathematical analysis and numerical methods for science and technology
title_full_unstemmed Mathematical analysis and numerical methods for science and technology
title_short Mathematical analysis and numerical methods for science and technology
title_sort mathematical analysis and numerical methods for science and technology
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-61527-6
https://dx.doi.org/10.1007/978-3-642-61566-5
https://dx.doi.org/10.1007/978-3-642-61529-0
https://dx.doi.org/10.1007/978-3-642-61531-3
https://dx.doi.org/10.1007/978-3-642-58090-1
https://dx.doi.org/10.1007/978-3-642-58004-8
http://cds.cern.ch/record/204844
work_keys_str_mv AT dautrayrobert mathematicalanalysisandnumericalmethodsforscienceandtechnology
AT lionsjacqueslouis mathematicalanalysisandnumericalmethodsforscienceandtechnology