Randomised one-step time integration methods for deterministic operator differential equations

نویسندگان

چکیده

Uncertainty quantification plays an important role in problems that involve inferring a parameter of initial value problem from observations the solution. Conrad et al.\ (\textit{Stat.\ Comput.}, 2017) proposed randomisation deterministic time integration methods as strategy for quantifying uncertainty due to unknown discretisation error. We consider this systems are described by deterministic, possibly time-dependent operator differential equations defined on Banach space or Gelfand triple. Our main results strong error bounds random trajectories measured Orlicz norms, proven under weaker assumption local truncation underlying method. analysis establishes theoretical validity randomised infinite-dimensional settings.

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ژورنال

عنوان ژورنال: Calcolo

سال: 2022

ISSN: ['0008-0624', '1126-5434']

DOI: https://doi.org/10.1007/s10092-022-00457-6