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Data-driven computational methods: parameter and operator estimations
Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-principles modeling paradigm. This book bridges this transition, connecting the theory of probability, stochastic process...
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| Lenguaje: | eng |
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Cambridge University Press
2018
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| Acceso en línea: | https://dx.doi.org/10.1017/9781108562461 http://cds.cern.ch/record/2631440 |