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Numerical analysis using Sage

This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simpl...

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Detalles Bibliográficos
Autores principales: Anastassiou, George A, Mezei, Razvan A
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-16739-8
http://cds.cern.ch/record/2015366
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author Anastassiou, George A
Mezei, Razvan A
author_facet Anastassiou, George A
Mezei, Razvan A
author_sort Anastassiou, George A
collection CERN
description This is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application.  Answers may be verified using Sage.  The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as Mathematica®.  Sage is  open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiarity with any programming language is a plus.  Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc.  All Sage code that is presented in the text is openly available on SpringerLink.com.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-20153662021-04-21T20:19:09Zdoi:10.1007/978-3-319-16739-8http://cds.cern.ch/record/2015366engAnastassiou, George AMezei, Razvan ANumerical analysis using SageMathematical Physics and MathematicsThis is the first numerical analysis text to use Sage for the implementation of algorithms and can be used in a one-semester course for undergraduates in mathematics, math education, computer science/information technology, engineering, and physical sciences. The primary aim of this text is to simplify understanding of the theories and ideas from a numerical analysis/numerical methods course via a modern programming language like Sage. Aside from the presentation of fundamental theoretical notions of numerical analysis throughout the text, each chapter concludes with several exercises that are oriented to real-world application.  Answers may be verified using Sage.  The presented code, written in core components of Sage, are backward compatible, i.e., easily applicable to other software systems such as Mathematica®.  Sage is  open source software and uses Python-like syntax. Previous Python programming experience is not a requirement for the reader, though familiarity with any programming language is a plus.  Moreover, the code can be written using any web browser and is therefore useful with Laptops, Tablets, iPhones, Smartphones, etc.  All Sage code that is presented in the text is openly available on SpringerLink.com.Springeroai:cds.cern.ch:20153662015
spellingShingle Mathematical Physics and Mathematics
Anastassiou, George A
Mezei, Razvan A
Numerical analysis using Sage
title Numerical analysis using Sage
title_full Numerical analysis using Sage
title_fullStr Numerical analysis using Sage
title_full_unstemmed Numerical analysis using Sage
title_short Numerical analysis using Sage
title_sort numerical analysis using sage
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-16739-8
http://cds.cern.ch/record/2015366
work_keys_str_mv AT anastassiougeorgea numericalanalysisusingsage
AT mezeirazvana numericalanalysisusingsage