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Introduction to unconstrained optimization with R
This book discusses unconstrained optimization with R — a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient met...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-981-15-0894-3 http://cds.cern.ch/record/2706787 |
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