Building a Framework for Predictive Science

@article{McKerns2012BuildingAF,
  title={Building a Framework for Predictive Science},
  author={M. McKerns and Leif Strand and T. Sullivan and Alta Fang and M. A. G. Aivazis},
  journal={ArXiv},
  year={2012},
  volume={abs/1202.1056}
}
  • M. McKerns, Leif Strand, +2 authors M. A. G. Aivazis
  • Published 2012
  • Computer Science
  • ArXiv
  • Key questions that scientists and engineers typically want to address can be formulated in terms of predictive science. Questions such as: "How well does my computational model represent reality?", "What are the most important parameters in the problem?", and "What is the best next experiment to perform?" are fundamental in solving scientific problems. Mystic is a framework for massively-parallel optimization and rigorous sensitivity analysis that enables these motivating questions to be… CONTINUE READING
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