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Introduction to Scientific Computing and Data Analysis
This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a si...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Texts in Computational Science and Engineering,
13 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-30256-0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 160530s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319302560 |9 978-3-319-30256-0 | ||
| 024 | 7 | |a 10.1007/978-3-319-30256-0 |2 doi | |
| 050 | 4 | |a QA71-90 | |
| 072 | 7 | |a PBKS |2 bicssc | |
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| 072 | 7 | |a PBKS |2 thema | |
| 082 | 0 | 4 | |a 003.3 |2 23 |
| 100 | 1 | |a Holmes, Mark H. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Introduction to Scientific Computing and Data Analysis |h [electronic resource] / |c by Mark H. Holmes. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a XIV, 497 p. 177 illus., 138 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Texts in Computational Science and Engineering, |x 2197-179X ; |v 13 | |
| 505 | 0 | |a Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices. | |
| 520 | |a This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink. | ||
| 650 | 0 | |a Mathematics-Data processing. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Differential equations. | |
| 650 | 1 | 4 | |a Computational Science and Engineering. |
| 650 | 2 | 4 | |a Optimization. |
| 650 | 2 | 4 | |a Differential Equations. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319302546 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319302553 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319807621 |
| 830 | 0 | |a Texts in Computational Science and Engineering, |x 2197-179X ; |v 13 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-30256-0 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
| 912 | |a ZDB-2-SXMS | ||
| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||