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Using R for numerical analysis in science and engineering
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical probl...
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| Lenguaje: | eng |
| Publicado: |
Taylor and Francis
2014
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| Acceso en línea: | http://cds.cern.ch/record/1706425 |
| _version_ | 1780936501903753216 |
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| author | Bloomfield, Victor A |
| author_facet | Bloomfield, Victor A |
| author_sort | Bloomfield, Victor A |
| collection | CERN |
| description | Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinea |
| id | cern-1706425 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2014 |
| publisher | Taylor and Francis |
| record_format | invenio |
| spelling | cern-17064252021-04-21T20:59:21Zhttp://cds.cern.ch/record/1706425engBloomfield, Victor AUsing R for numerical analysis in science and engineeringComputing and ComputersInstead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlineaTaylor and Francisoai:cds.cern.ch:17064252014 |
| spellingShingle | Computing and Computers Bloomfield, Victor A Using R for numerical analysis in science and engineering |
| title | Using R for numerical analysis in science and engineering |
| title_full | Using R for numerical analysis in science and engineering |
| title_fullStr | Using R for numerical analysis in science and engineering |
| title_full_unstemmed | Using R for numerical analysis in science and engineering |
| title_short | Using R for numerical analysis in science and engineering |
| title_sort | using r for numerical analysis in science and engineering |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/1706425 |
| work_keys_str_mv | AT bloomfieldvictora usingrfornumericalanalysisinscienceandengineering |