Selective Methodologies For Uncertainty Quantification
Much research has been done to solve uncertainty quantification problems, though a majority of them deal with uncertainty propagation. During the past one to two decades, a number of approaches for inverse uncertainty quantification problems have also been developed and have proved to be useful for most small- to medium-scale problems.
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“The selective memory isn’t selective enough.”
—Blake Morrison (b. 1950)
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—Gerard Manley Hopkins (1844–1889)