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UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS (En papel)
Synopsis "UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS (En papel)"
Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover impr
oved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method