000 02646nam a22003735i 4500
001 394281
003 ES-MaUEC
005 20230102123114.0
007 cr nn 008mamaa
008 221027s2022 sz | s |||| 0|eng d
020 _a9783031169724
024 7 _a10.1007/978-3-031-16972-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
100 1 _aSmith, Einar
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntroduction to the Tools of Scientific Computing
_cby Einar Smith
250 _a2nd edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIII, 428 páginas)
_b1 illus
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aTexts in Computational Science and Engineering
_x2197-179X
_v25
505 0 _aIntroduction -- Part I, Background -- Part II, Core Languages -- Part III, Commercial Computing Environments -- Part IV, Distributed Computing -- Part V, Specialized Programming Environments -- References -- Index.
520 _aThe book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approaches, it does not focus on any specific language, but aims to explain the underlying ideas. Typically, new concepts are first introduced in the particularly user-friendly Python language and then transferred and extended in various programming environments from C/C++, Julia and MATLAB to Maple and Mathematica. This includes various approaches to distributed computing. By examining and comparing different languages, the book is also helpful for mathematicians and practitioners in deciding which programming language to use for which purposes. At a more advanced level, special tools for the automated solution of partial differential equations using the finite element method are discussed. On a more experimental level, the basic methods of scientific machine learning in artificial neural networks are explained and illustrated.
776 0 8 _iPrinted edition:
_z9783031169717
776 0 8 _iPrinted edition:
_z9783031169731
776 0 8 _iPrinted edition:
_z9783031169748
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-16972-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394281
_d394281