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A scalable space-time domain decomposition approach for solving large-scale nonlinear regularized inverse ill-posed problems in 4D variational data assimilation.

Luisa D'AmoreEmil M. ConstantinescuLuisa Carracciuolo
Published in: CoRR (2022)
Keyphrases
  • low dimensional
  • data assimilation
  • search space
  • image sequences
  • semi supervised
  • markov random field