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DOE OSTI · 1467401

RAVEN User Guide

Alfonsi, Andrea·Rabiti, Cristian·Mandelli, Diego·Cogliati, Joshua·Wang, Congjian·Talbot, Paul W.·Maljovec, Daniel P.
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Abstract

The goal of this document is to provide a set of detailed examples that can help the user to become familiar with the RAVEN code. RAVEN is capable of investigating system response and explore input space using various sampling schemes such as Monte Carlo, grid, or Latin Hypercube. How- ever, RAVEN strength lies in its system feature discovery capabilities such as: constructing limit surfaces, separating regions of the input space leading to system failure, and using dynamic super- vised learning techniques. New users should consult the RAVEN Tutorial to get started.

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29 ENERGY PLANNING, POLICY, AND ECONOMY97 MATHEMATICS AND COMPUTINGdata miningOptimizationPRAravenreduced order modelsrelapsurrogate modelsUQ

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Alfonsi, Andrea, Rabiti, Cristian, Mandelli, Diego, Cogliati, Joshua, Wang, Congjian, Talbot, Paul W., Maljovec, Daniel P.. 2018-06-01. RAVEN User Guide. https://doi.org/10.2172/1467401

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