2017

A constant step Forward-Backward algorithm involving random maximal monotone operators

Bianchi, Pascal, Hachem, Walid, Salim, Adil

Understand

A stochastic Forward-Backward algorithm with a constant step is studied.

  • At each time step, this algorithm involves an independent copy of a couple of random maximal monotone operators.
  • Defining a mean operator as a selection integral, the differential inclusion built from the sum of the two mean operators is considered.
  • As a first result, it is shown that the interpolated process obtained from the iterates converges narrowly in the small step regime to the solution of this differential inclusion.

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